# Video Copy Optimizer

> Shareable markdown export of `video-copy-optimizer.skill` — exported 2026-08-25 from the MBAC Skills library.
>
> **How to use it:** paste this whole file into a new Claude, Claude Cowork, or ChatGPT conversation, then paste your own input underneath and say what you want. No install required. The `.skill` file next to it is the installable version for Claude; this markdown is the shareable version for everyone else.

**What it does:** Research-driven, multi-platform video copy optimization for YouTube (Long-Form + Shorts), TikTok, Instagram Reels, and LinkedIn. Creates psychologically optimized metadata packages through deep audience profiling, live keyword research, neuro-lexical word-level optimization, and platform-native construction. Outputs 3 complete packages per platform, each from a genuinely different strategic angle. Use when the user provides a video transcript or captions and wants optimized copy for any supported platform. Always conducts fresh research — never relies on templates or stored profiles. Optional DN/MWC branding integration.

**Included sections:** main instructions + 6 reference section(s).

---
Research-first, psychology-driven video copy optimization with neuro-lexical word-level control.

## Core Philosophy

Every optimization is unique. No static templates. No stored keyword lists. No pre-built audience profiles. Every decision — title word order, thumbnail text, hook beat structure, description architecture, hashtag selection — emerges from fresh research specific to this content, this viewer, this platform, this moment.

**Adaptive Intelligence Rule:** The skill must produce materially different outputs for different audiences, topics, and platforms. If two optimizations for different audiences could be swapped without anyone noticing, the process failed. Every decision point must branch based on research, not default to a familiar pattern.

**Waterfall Enrichment Principle:** Each phase answers specific questions whose answers become required inputs for the next phase. No phase can be skipped. No phase can operate without the outputs of the previous phase. This mirrors how elite marketing professionals actually work: you can't write a title until you know what words activate this audience, and you can't know what words activate this audience until you know who they are, and you can't know who they are until you understand what the content actually offers.

**Neuro-Lexical Principle:** Every word is a neurological decision. Specific words fire specific neural pathways in specific populations. Word ORDER affects cognitive processing speed, emotional activation, and retention. This isn't metaphor — it's how the brain processes language. The skill treats word selection and arrangement as a science applied across ALL components, not just titles.

**Anti-Contrast Framing Rule:** Copy must NEVER use the "Not X — it's Y" or "isn't X, it's Y" pattern. This structure ("The barrier isn't skill — it's exposure," "It's not about talent — it's about access") is the single most overused framing in content copy. It feels clever but it's a crutch that makes every package sound the same regardless of angle. Every time the copy wants to set up a contrast pair, it must find a direct assertion instead. Say what the thing IS, not what it isn't. "Exposure is the barrier" — not "The barrier isn't skill, it's exposure."

**Copy ≠ Transcript Rule:** Copy is ORIGINAL persuasion text. It is never a transcription, quotation, or paraphrase of what was said in the video. The transcript is source material — it tells you what the content contains so you can sell it. Copy sells the REASON TO WATCH, not the experience of watching. If the viewer reads the copy and already has the guest's key line, the copy stole from the video instead of selling it. Specific prohibitions: no direct quotes from the transcript in titles, descriptions, captions, or hooks. No "she said [exact quote]" constructions. The guest's words are the REWARD for clicking — the copy is the REASON to click.

---

## Before Starting: Load References

**Read ALL of the following before producing any output:**

1. [content-intelligence.md](#reference-content-intelligence) — Content analysis, archetype classification, emotional peak mapping
2. [strategic-synthesis.md](#reference-strategic-synthesis) — Persuasion model derivation, framework emergence, angle construction, lexical strategy
3. [platform-psychology-engine.md](#reference-platform-psychology-engine) — Platform-specific cognitive brain states, attention mechanics, and how they change copy decisions
4. [construction-protocol.md](#reference-construction-protocol) — Per-component construction with derivation chains, neuro-lexical word rules, and verification
5. [platform-specs.md](#reference-platform-specs) — Hardcoded component anatomy, purposes, format constraints, quality gates

**Determine platform(s):**
- If user specifies platform(s) → Use those
- If user doesn't specify → Ask which platform(s) they want optimized
- Process ONE platform at a time for quality. Complete all 3 packages for Platform A before starting Platform B.

**Determine branding:**
- If user mentions DN/Disruption Now or MWC/MidwestCon → Apply relevant branding
- If topic aligns with MWC 2026 tracks → Offer MWC integration
- If neither → No branding required (skip branding elements)

**Input requirements:**
- Primary input: Full transcript, captions, or detailed content description
- Optional: Guest name, episode number, specific angle preferences, target audience hints
- If transcript is provided: Extract everything from it. Don't ask the user to summarize their own content.

---

## Adaptive Workflow

This is NOT a linear checklist. It is a decision tree. Each phase produces reasoning outputs that ROUTE the next phase differently. All reasoning is INTERNAL — the user sees only the final optimized packages, not the synthesis documents.

### PHASE 1: Content Intelligence
**Question:** What do we actually have, and what makes it valuable?

Read **[content-intelligence.md](#reference-content-intelligence)** and execute the full content analysis:

- Extract the core argument or revelation (the single most valuable thing in this content)
- Map all entities present (people, companies, concepts, technologies — primary, secondary, tertiary)
- Classify the content archetype (transformation, revelation, narrative, analysis, commentary, evaluation, proof, engagement)
- Identify emotional peaks (specific timestamps or moments where energy/insight/tension is highest)
- Derive the transformation promise (what changes for the viewer after watching)
- Extract guest intelligence if applicable (who they are, why they matter to this audience, what authority they bring)

**Output:** A content intelligence packet that tells subsequent phases WHAT we're optimizing, what's MOST VALUABLE in it, and what PROMISE it makes.

**Routing:** The content archetype determines which viewer motivations to research. The transformation promise shapes the keyword strategy. The emotional peaks inform hook construction. The entity map feeds SEO and algorithm signals.

---

### PHASE 2: Segment Intelligence
**Question:** Who specifically are we talking to, what drives them, and what words activate their brain right now?

Using the content intelligence packet, execute the full profiling process:

- Identify the specific decision-maker (not "entrepreneurs" — "solo founders evaluating AI tools for their first hire replacement")
- Build the 6-layer psychographic profile from fresh research:
  - Layer 1: Professional Identity (how they describe themselves)
  - Layer 2: Motivation Architecture (what they're measured on, what success looks like)
  - Layer 3: Fear & Pain Mapping (what they're worried about, what's failed before)
  - Layer 4: Information Processing (how they evaluate, what triggers skepticism)
  - Layer 5: Language & Discourse Patterns (their actual words — minimum 10 captured phrases)
  - Layer 6: Current Emotional Baseline (dominant emotion about this topic right now)
- Produce a Segment Synthesis document

Then execute the full neuro-lexical language mining:
- Mine comment sections, forums, Reddit, LinkedIn for authentic viewer language (top 30-50 comments per source, not just top 10)
- Classify captured words into: in-group recognition triggers, dopamine words, urgency/threat words, sensory/concrete words
- Identify exhausted words for this segment (over-saturated terms that now trigger scroll-past)
- Assess shelf life of discovered trigger words (trending up, peaking, or declining)
- Research current neurologically active words for this segment (live, every run — these change constantly)

**Output:** A segment synthesis that tells subsequent phases WHO we're targeting, what DRIVES them, how they SPEAK, what they're SKEPTICAL of, and what SPECIFIC WORDS activate their brain right now.

**Routing:** The segment synthesis controls everything downstream. The fear architecture determines whether to lead with risk or aspiration. The trust profile determines proof type. The language capture becomes the raw material for all copy. The lexical intelligence governs word-level decisions across every component. If the synthesis is generic, everything downstream will be generic.

---

### PHASE 3: Market Intelligence
**Question:** What's the competitive landscape, and where are the opportunities?

Using both intelligence packets, execute platform-specific research:

- Execute live keyword research: seed extraction from content + viewer intelligence, autocomplete mining on target platform, question mining from forums/Reddit, semantic cluster construction, intent matching, AI search query optimization
- Execute competitive forensic analysis: classify competitors by authority tier, deconstruct word-level choices in top titles, identify pattern saturation at the structural level, map exploitable gaps at the strategy level
- Find trend intersections (is this topic touching something currently trending on this platform)
- Verify current algorithm priorities (what does this platform reward right now — not 6 months ago)

**Output:** A market intelligence packet with keyword clusters, competitive landscape, identified gaps, trend connections, and algorithm signal requirements.

**Routing:** The keyword clusters feed title and description construction. The gaps determine differentiation strategy. The trend intersections create timeliness hooks. The algorithm signals set minimum requirements for each component. The competitive analysis tells us what to AVOID (saturated approaches).

---

### PHASE 4: Strategic Synthesis
**Question:** Given everything we know, what's our approach?

Using ALL three intelligence packets, read **[strategic-synthesis.md](#reference-strategic-synthesis)** and derive:

- The psychological angle (from viewer driver × content archetype — not selected from a menu)
- The differentiation strategy (from competitive gaps × content's unique angle)
- The proof approach (from skepticism level × content's evidence)
- The voice (from captured language × content energy)
- The lexical strategy (from neurologically active words → mapped to specific components with arrangement rules)
- The framework (emerges from all the above — never picked from a catalog)
- **3 distinct strategic angles** for the 3 packages (genuinely different entry points, not word swaps)

**Output:** A strategic synthesis with three fully differentiated angle packages, each with its own psychological entry point, lexical strategy, and component-level plan.

**Routing:** Each angle becomes the control document for one complete package. The lexical strategy governs word-level decisions. The voice derivation controls register and vocabulary. The proof approach determines what evidence goes where.

---

### PHASE 5: Construction
**Question:** How do we build each component to fulfill its fixed purpose using this specific strategy?

Read **[construction-protocol.md](#reference-construction-protocol)**, **[platform-specs.md](#reference-platform-specs)**, and **[platform-psychology-engine.md](#reference-platform-psychology-engine)**.

Before building, consult the platform psychology engine to understand the COGNITIVE STATE of viewers on this specific platform — YouTube viewers are in intentional evaluation mode, TikTok viewers are in passive discovery mode, Instagram viewers are in curated aspiration mode. These brain states change what works at the copy level.

For the target platform, build ALL 3 packages. Each package includes every component for that platform (see platform-specs.md for component lists). The neuro-lexical word rules in **[construction-protocol.md](#reference-construction-protocol)** govern word-level decisions across ALL components.

**Construction order per package:**
1. Scroll-stopper (thumbnail text / cover text / caption first line for LinkedIn) — STOP the scroll
2. Click-trigger (title / caption first line) — TRIGGER the click
3. Commitment device (hook script / overlay sequence / caption body for LinkedIn) — COMMIT the viewer
4. Value container (description / caption body) — DEEPEN engagement
5. Algorithm signals (tags / hashtags) — SIGNAL the algorithm
6. File metadata (file name) — SUPPORT discoverability

Each component is BUILT from the strategic synthesis, not adapted from a template. The construction protocol specifies how to derive each component type from the strategy outputs.

---

### PHASE 6: Verification
**Question:** Does every component fulfill its purpose, and does the package work as a system?

This is a SILENT quality gate — the user never sees it. Before outputting, verify:

**Per-Component Checks:**
- Does the scroll-stopper create a pattern interrupt using the identified viewer driver?
- Does the click-trigger contain the primary keyword AND create a curiosity/promise gap?
- Does the commitment device prevent bounce in the critical window (15s long-form, 3s short-form)?
- Does the value container reward the reader with structured value AND keyword density?
- Do the algorithm signals correctly classify the content for the target platform?

**Neuro-Lexical Checks:**
- Is there at least ONE neurologically active trigger word per component?
- Are trigger words in first or last position (serial position optimization)?
- Are concrete words used instead of abstract where possible?
- Are exhausted words from the lexical intelligence absent from all copy?
- Does sentence rhythm vary (no monotonous patterns in descriptions/captions)?

**System Checks:**
- Do the scroll-stopper and click-trigger tell a two-part story (not redundant)?
- Does the hook fulfill the promise made by the click-trigger?
- Is the voice consistent across all components within a package?
- Are the 3 packages genuinely different angles (not word swaps)?
- Does ANY component use "Not X — it's Y" contrast framing? → REMOVE and replace with direct assertion
- Does ANY component quote, paraphrase, or reproduce language from the transcript? → REMOVE. Copy sells the reason to watch, never the content itself.
- Do all three titles share the same grammatical structure? → DIVERGE. Each title must use a different sentence pattern.

**Cross-Carousel Check (if multiple packages in conversation):**
- Could any two packages be confused for the same angle? → Differentiate further
- Does each package's scroll-stopper use a different psychological mechanism? → Required

If any check fails → fix before output. The user sees only the verified final packages.

---

## Output Format

For EACH platform requested, output 3 complete packages:

```
PLATFORM: [YouTube Long-Form / YouTube Shorts / TikTok / Instagram Reels / LinkedIn]
AUDIENCE: [Precise description from Segment Synthesis]
CONTENT: [One-line content summary]

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

PACKAGE 1

[All components for this platform — see platform-specs.md]

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

PACKAGE 2

[All components for this platform]

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

PACKAGE 3

[All components for this platform]

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

```

Each package contains ONLY production-ready copy. All reasoning, strategic angle descriptions, psychological entry explanations, and internal analysis are INTERNAL — never shown to the user. No post-publish checklists, monitoring suggestions, or optimization advice. The output is copy the user can deploy, nothing else.

---

## The Only Test That Matters

After the packages are complete, ask one question:

**If I ran this exact process for a different audience on a different topic, would the output be materially different?**

If the answer is "I'm not sure" — the segment synthesis wasn't specific enough, the lexical strategy wasn't derived closely enough from live research, or the construction didn't apply the neuro-linguistic rules rigorously. Go back upstream. The problem is never at the copy level. It's always at the research level.

---

## DN/MWC Integration (When Applicable)

If the user requests Disruption Now or MidwestCon branding:

- **Disruption Now Podcast**: Include podcast-specific elements (episode number, "Disruption Now" in title, DN website in description, subscribe CTA)
- **MidwestCon 2026**: Connect content to relevant MWC track, include #MWC2026, reference September 8-11 2026 / Cincinnati. The connection must feel organic — the content LEADS TO the conference theme, not the other way around.

MWC 2026 Tracks:
- The Kinetic Enterprise (REBUILD)
- The Adaptive Workforce (REIMAGINE)
- The Governance of Trust (REDEFINE)
- The Founder's Frontier (DISRUPT)



---

## Reference: CHANGELOG

#### Files Modified

##### SKILL.md
- **Added** Anti-Contrast Framing Rule to Core Philosophy
- **Added** Copy ≠ Transcript Rule to Core Philosophy
- **Updated** description to include LinkedIn
- **Updated** output format: removed angle names, psychological entry explanations, 24-hour checklist
- **Updated** packages to plain "PACKAGE 1 / 2 / 3" — no labels
- **Updated** construction order to reflect Shorts thumbnail + LinkedIn components
- **Updated** verification phase: added contrast framing ban, transcript quote ban, structural divergence check
- **Updated** platform list to include LinkedIn
- **Strengthened** output boundary rule: "copy the user can deploy, nothing else"

##### platform-specs.md
- **Added** LinkedIn full platform spec (caption architecture, hashtags, quality gates)
- **Updated** YouTube Long-Form tags: 5-12 → 5-8
- **Updated** YouTube Shorts tags: 3-8 → 5-8
- **Replaced** YouTube Shorts Text Overlay Sequence → Thumbnail Text (static preview)
- **Updated** TikTok hashtags: reflects hard cap of 5 (platform-enforced since Aug 2025)
- **Updated** Instagram Reels hashtags: reflects hard cap of 5 (platform-enforced since Dec 2025)
- **Removed** TikTok Sound Reference component
- **Removed** 24-hour checklist mandate from cross-platform rules
- **Added** cross-platform rules: no advisory content, anti-contrast, copy≠transcript
- **Updated** Platform Tone Guide table to include LinkedIn

##### construction-protocol.md
- **Removed** entire 24-Hour Optimization Checklist section (all platforms)
- **Added** Output Boundary Rule (deployable copy only, no advice)
- **Updated** scroll-stopper mapping: Shorts → thumbnail text, added LinkedIn
- **Updated** click-trigger mapping: added LinkedIn
- **Updated** commitment device mapping: Shorts → hook script (not overlay), added LinkedIn
- **Updated** value container mapping: added LinkedIn
- **Updated** algorithm signals mapping: updated all hashtag/tag counts, added LinkedIn
- **Added** YouTube Shorts Hook Construction section (spoken hook + thumbnail)
- **Renamed** Short-Form Overlay to TikTok/Reels only (Shorts removed)
- **Added** LinkedIn Caption Construction section (5-layer architecture)
- **Updated** platform-specific tag formatting with current counts
- **Added** anti-contrast and copy≠transcript enforcement to LinkedIn section

##### strategic-synthesis.md
- **Added** Structure test to Angle Divergence Test (no shared grammatical patterns)
- **Added** Contrast framing ban to Angle Divergence Test
- **Added** 3 new checks to verification table: contrast framing, transcript quoting, structural monotony

##### content-intelligence.md
- **Updated** pull quote guidance → internal reference only, never for copy output
- **Updated** "Best peak for pull quote" → "Best peak for hook inspiration"
- **Removed** "pull quotes" from emotional peaks description and routing table

##### platform-psychology-engine.md
- **Added** LinkedIn: Evaluation Mode section (brain state, attention mechanics, copy implications, cognitive patterns)
- **Added** LinkedIn to all cross-platform constants (curiosity gaps, social proof, trust formation, algorithm rewards)

#### Research-Backed Updates

- YouTube Tags: 5-8 optimal (Ahrefs, YouTube Booster)
- YouTube Hashtags: 3-5 per video (Hollyland, Metricool)
- TikTok: Hard cap of 5 hashtags (MediaPost, Planoly — enforced Aug 2025)
- Instagram: Hard cap of 5 hashtags (Instagram official — enforced Dec 2025)
- LinkedIn: 3-5 hashtags optimal (Sprout Social, Hootsuite, Snovio Labs)



---

## Reference: construction-protocol

#### What This Phase Produces

Production-ready copy for every component of every package, built from the Strategic Synthesis using the Neuro-Lexical Engine's rules. Each component is CONSTRUCTED from specific inputs — not adapted from templates. The construction follows a derivation chain: Strategic Angle → Component Purpose → Neuro-Lexical Rules → Specific Copy.

#### Why It Exists

Even with perfect intelligence and strategy, copy can fail in construction. The gap between "I know what to say" and "I know how to say it, word by word, in the right order, for the right component" is where most optimization falls apart. This protocol bridges that gap with explicit construction processes for each component type.

---

#### Principle: Components Are a System

Every component in a package serves a fixed purpose (defined in platform-specs.md), but they must work TOGETHER as a system. Here's how the system flows:

```
[Scroll-stopper] → STOPS the thumb/eye → creates 0.3s of attention
        ↓
[Click-trigger] → CAPTURES that attention → creates curiosity/promise gap
        ↓
[Commitment device] → FULFILLS the promise partially → prevents bounce
        ↓
[Value container] → REWARDS the engagement → delivers value + navigation + CTA
        ↓
[Algorithm signals] → CLASSIFIES the content → ensures discoverability
```

Each component inherits the PSYCHOLOGICAL DIRECTION set by the one before it. The scroll-stopper and click-trigger tell a two-part story. The hook fulfills the title's promise. The description rewards what the hook started. Breaking this chain breaks the system.

##### The Two-Part Story Rule

The scroll-stopper (thumbnail/cover/frame 1) and the click-trigger (title/caption first line) MUST tell a two-part story:

- If the thumbnail says "I QUIT" → the title should say WHY or WHAT HAPPENED (not also "I quit my job")
- If the thumbnail text is the QUESTION → the title should be the HINT at the answer
- If the thumbnail text is the SHOCK → the title should be the CONTEXT
- If the thumbnail text is the NUMBER → the title should be the MEANING

They should NEVER duplicate information. Together they must create more curiosity than either could alone.

---

#### Component Type 1: Scroll-Stoppers

**Purpose:** STOP the scroll. Create a 0.3-1 second pattern interrupt that earns a moment of attention.

**What it is on each platform:**
- YouTube Long-Form: Thumbnail text overlay (≤5 words, part of thumbnail image)
- YouTube Shorts: Thumbnail text (≤5 words, appears on static preview in vertical feed)
- TikTok: Frame 1 text overlay (upper third, ≤4 words)
- Instagram Reels: Cover image text (≤5 words, legible at square crop)
- LinkedIn: Caption first line (~140 visible chars — this IS the scroll-stopper on LinkedIn since there's no visual text overlay)

##### Construction Process

**Step 1: Identify the mechanism from the viewer driver.**

From the Strategic Synthesis, what makes this specific viewer STOP scrolling?

- If their driver is FEAR/LOSS → The scroll-stopper should create a threat signal. Words that activate the amygdala: "WARNING," "MISTAKE," "DON'T," "STOP," "FAILING"
- If their driver is GAIN/ASPIRATION → The scroll-stopper should create a reward signal. Words that activate dopamine: "FREE," "SECRET," "$[number]," "BLUEPRINT," "RESULTS"
- If their driver is IDENTITY/BELONGING → The scroll-stopper should create a recognition signal. In-group words from the lexical inventory.
- If their driver is CURIOSITY → The scroll-stopper should create an information gap. Words that create open loops: "WHY," "HOW," "WHAT IF," "[Counter-intuitive claim]"

**Step 2: Cross-check competitive saturation.**

From Market Intelligence: What thumbnail/cover approaches are EVERYONE using? If every competitor uses shocked-face + red text saying "EXPOSED," that approach is saturated. Use a different mechanism even if it's psychologically strong.

**Step 3: Construct in ≤4-5 words.**

Using the assigned trigger word from the Lexical Strategy and the identified mechanism:
- First word: Pattern interrupt or recognition trigger
- Last word: Promise or curiosity hook
- Middle (if any): Context that connects first and last

Apply neuro-lexical rules:
- All words concrete (no abstract filler)
- Cognitive load = 1 concept maximum
- No exhausted words from the inventory

**Step 4: Verify complement with title.**

Read the scroll-stopper text, then the title. Together they should create more curiosity than either alone. If reading both gives the viewer all the information → they won't click. There must be an UNANSWERED ELEMENT that only watching resolves.

```
SCROLL-STOPPER CONSTRUCTION:
- Mechanism: [Threat / Reward / Recognition / Gap]
- Viewer driver match: [Which driver from synthesis this activates]
- Competitive differentiation: [How this differs from competitor approaches]
- Text: [2-5 words]
- Trigger word used: [Which word from lexical strategy]
- Two-part story check: [What question does this create that the title partially answers?]
```

---

#### Component Type 2: Click-Triggers

**Purpose:** TRIGGER the click. Convert the attention earned by the scroll-stopper into a decision to engage.

**What it is on each platform:**
- YouTube Long-Form: Title (≤60 chars, primary keyword in first 3-5 words)
- YouTube Shorts: Title (≤50 chars)
- TikTok: Caption first line (≤150 chars optimal for full text, first ~50 chars most critical)
- Instagram Reels: Caption first ~125 visible chars
- LinkedIn: Caption first ~140 visible chars (on LinkedIn, the scroll-stopper and click-trigger are the SAME component — the visible caption before "see more." The first line must do both jobs.)

##### Construction Process

**Step 1: Start with the primary keyword.**

From Market Intelligence, the primary keyword must appear in the first 3-5 words of the title. This is non-negotiable for SEO. The construction challenge is making this keyword placement feel natural, not forced.

Techniques:
- "[Keyword]: [Promise]" — keyword as label, promise as payoff
- "[Number] [Keyword] [Outcome]" — keyword embedded in a specific claim
- "[Entity] Reveals [Keyword] [Insight]" — keyword in an authority frame
- "Why [Keyword] [Surprising claim]" — keyword in a question/curiosity frame

**Step 2: Apply the strategic angle.**

From the Strategic Synthesis, this title must execute the specific psychological entry for this package's angle:

- Angle leads with TRANSFORMATION → Title structure: "[Before state] to [After state]" or "How [Entity] achieved [Result]"
- Angle leads with REVELATION → Title structure: "The [Hidden/Unknown thing] about [Topic]" or "What [Authority] revealed about [Topic]"
- Angle leads with AUTHORITY → Title structure: "[Guest Name]: [Their key claim]" or "[Credential] Explains [Topic]"
- Angle leads with DATA → Title structure: "[Specific number] [What it means]" or "[Statistic] [Implication]"
- Angle leads with URGENCY → Title structure: "Why [Topic] [Matters Now]" or "Before [Deadline/Change]: [What to do]"
- Angle leads with IDENTITY → Title structure: "For [Specific audience]: [Value]" or "Every [Role] Needs to Know [This]"

**Step 3: Inject differentiation.**

From the Differentiation Strategy, add the element that makes this title different from every competitor's:
- If differentiation is SPECIFICITY → Include the specific number, name, or mechanism
- If differentiation is AUTHORITY → Include the guest's name or credential
- If differentiation is RECENCY → Include the year or timeframe
- If differentiation is ANGLE → Make the unique perspective visible in the title itself

**Step 4: Calibrate to skepticism level.**

From the Proof Approach:
- High skepticism → Qualify claims. "Based on 200+ companies" vs "The ultimate guide"
- Medium skepticism → Balance promise with proof. "The 3-Step Method (That Saved 14 Companies)"
- Low skepticism → Bold claims acceptable. "This Will Change How You Think About AI"

**Step 5: Apply neuro-lexical rules.**

- First word: Highest-activation element (keyword, number, or trigger word)
- Last word: Motivational/emotional payload
- ≤2 trigger words from lexical strategy
- All words concrete (substitutions applied)
- Cognitive load ≤ 2 concepts
- No exhausted words
- Register matches captured language

**Step 6: Write in their voice.**

Read the captured phrases from the synthesis. Does the title sound like something that could appear in their LinkedIn feed? In the description of a conference session they'd attend? If the title uses words they'd never use → rewrite using their vocabulary.

```
CLICK-TRIGGER CONSTRUCTION:
- Primary keyword: [From market intelligence] — position: [Where in the title]
- Strategic angle execution: [How this angle's entry point shows up]
- Differentiation element: [What makes it different from competitors]
- Skepticism calibration: [Bold / Qualified / Proof-embedded]
- Neuro-lexical: First word = [X], Last word = [X], Trigger words = [X, X]
- Voice check: [Does it match captured language register?]
- Title: [Full title text]
- Character count: [Must be within platform limit]
```

---

#### Component Type 3: Commitment Devices

**Purpose:** COMMIT the viewer. Prevent bounce in the critical window (first 15 seconds for long-form, first 3 seconds for short-form).

**What it is on each platform:**
- YouTube Long-Form: Hook script (0-15 seconds, structured as OPEN → ESCALATE → BRIDGE)
- YouTube Shorts: Hook script (0-15 seconds, same structure as long-form but tighter — Shorts still have spoken hooks)
- TikTok: Text overlay sequence (frame 1 upper third, subsequent frames avoid bottom 20%)
- Instagram Reels: Text overlay sequence (avoid top 250px and bottom 250px)
- LinkedIn: Caption body paragraphs 2-3 (the expanded text that rewards the "see more" click — must immediately deliver on the hook's promise)

##### Long-Form Hook Construction (YouTube)

The hook must fulfill the title's promise within 15 seconds or the viewer bounces.

**Beat 1: OPEN (0-3 seconds)**
- Job: Establish relevance. The viewer needs to know in 3 seconds that this video is for THEM.
- Construction: Start with a statement that mirrors the viewer's current state (from Emotional Baseline). Use their language. If the viewer is frustrated → validate the frustration. If curious → acknowledge the curiosity. If anxious → name the anxiety.
- Neuro-lexical: First spoken word should be an in-group recognition word or a concrete noun. NOT "Hey guys" or "So" or "Today we're going to."

**Beat 2: ESCALATE (3-8 seconds)**
- Job: Raise the stakes. The viewer needs to understand what's at risk or what's available.
- Construction: Introduce the core argument's TENSION. This is the gap between what the viewer currently knows/does and what the content reveals. Use the emotional peak identified in Content Intelligence.
- Neuro-lexical: This beat gets the urgency or threat trigger word. The stakes must be concrete — "73% of companies fail at this" not "many companies struggle."

**Beat 3: BRIDGE (8-15 seconds)**
- Job: Promise the payoff. The viewer needs to know that STAYING will be worth their time.
- Construction: Preview the value without giving it away. "In this conversation, [guest] breaks down the exact [method/framework/approach] that..." This is the bridge between hook and content.
- Neuro-lexical: This beat gets the promise or reward trigger word. The bridge must be specific enough to be credible but incomplete enough to require watching.

```
HOOK SCRIPT:
Beat 1 (0-3s): [Exact script — OPEN]
Beat 2 (3-8s): [Exact script — ESCALATE]
Beat 3 (8-15s): [Exact script — BRIDGE]
Trigger words used: [Which words, which beats]
Voice match: [Does it sound like the viewer's captured language?]
Title fulfillment: [Does the hook begin delivering what the title promised?]
```

##### YouTube Shorts Hook Construction

YouTube Shorts get a SPOKEN HOOK (same structure as long-form but compressed) plus a THUMBNAIL TEXT (static preview). Shorts do NOT use text overlay sequences — they use spoken hooks like long-form but tighter.

**The Shorts hook follows the same OPEN → ESCALATE → BRIDGE structure as long-form** but compressed to match the shorter format. Apply the same construction rules from the Long-Form Hook section above.

**The Shorts thumbnail text follows the same construction rules as the YouTube Long-Form thumbnail** (see Scroll-Stoppers section above) — ≤5 words, complement the title, create the two-part story.

##### Short-Form Overlay Construction (TikTok/Reels)

TikTok and Instagram Reels commitment devices are TEXT ON SCREEN, not spoken hooks. Different rules apply.

**Frame 1: INTERRUPT (0-1 second)**
- Job: Stop the scroll AND establish topic in one frame.
- Construction: ≤4 words. The strongest trigger word from the lexical strategy. Must be readable in under 1 second.
- Platform placement: TikTok upper third, Reels center avoiding top/bottom 250px

**Frames 2-4: VALUE BEATS (1-5 seconds)**
- Job: Deliver value information in digestible beats.
- Construction: Each frame = 1 concept, 2-4 words. Progressive revelation — each frame builds on the last.
- Pacing: ~2 words per second reading speed. New frame every 1.5-2 seconds.

**Frame 5+: PAYOFF or LOOP**
- Job: Either deliver the final value beat or create a loop (for completion rate optimization).
- For payoff: The strongest insight or takeaway in ≤4 words
- For loop: Return to a visual/verbal element from Frame 1 (creates replay impulse)

```
OVERLAY SEQUENCE:
Frame 1 (0-1s): [Text] — [Position on screen]
Frame 2 (1-2.5s): [Text] — [Position]
Frame 3 (2.5-4s): [Text] — [Position]
Frame 4 (4-5.5s): [Text] — [Position]
[Continue as needed]
Loop/Payoff: [Which approach and why]
Trigger distribution: [Which trigger word in which frame]
```

---

#### Component Type 4: Value Containers

**Purpose:** DEEPEN engagement. Reward the viewer with value, navigation, proof, and a path to action.

**What it is on each platform:**
- YouTube Long-Form: Description (≥250 words, structured with timestamps, guest info, resources, Q&A)
- YouTube Shorts: Description (100-300 chars + #Shorts)
- TikTok: Caption body (up to 2,200 chars, though shorter is typically stronger)
- Instagram Reels: Caption body (up to 2,200 chars, first ~125 visible)
- LinkedIn: Caption body (up to 3,000 chars total — the full post including hook, value architecture, guest info, CTA, and hashtags)

##### YouTube Long-Form Description Construction

This is the most complex component. It serves multiple functions simultaneously:

**Layer 1: Hook (first 2-3 lines, visible before "Show more")**
- This is the SECOND title. Many viewers read the description preview before deciding to watch.
- Construction: Expand on the title's promise with specific detail. Answer the question the title raises.
- Neuro-lexical: Apply serial position to the first sentence. Concrete words. Sentence rhythm: short-long or question-answer.

**Layer 2: Value Architecture (visible after "Show more")**
- Timestamps with descriptive labels (not just "Introduction" — "Why 73% of AI pilots fail in 90 days")
- Each timestamp label should contain a secondary keyword and promise a specific insight
- Timestamps double as a table of contents AND a keyword embedding opportunity

**Layer 3: Guest/Authority Section (if applicable)**
- Guest bio focused on WHY THEY MATTER for this specific topic
- Credentials relevant to this content (not their entire resume)
- Links to guest's relevant work
- This section serves as authority proof for skeptical viewers AND entity SEO

**Layer 4: Resource Section**
- Links mentioned in the video
- Related content recommendations
- Tools, books, frameworks discussed
- Each resource link is a keyword embedding opportunity

**Layer 5: Q&A Optimization**
- 2-3 questions the content answers, phrased as viewers would search or ask an AI
- Brief answers that reference specific parts of the content
- These capture "People also ask" and AI search recommendation signals

**Layer 6: CTA Section**
- Subscribe CTA with specific value proposition (not "subscribe for more" — "subscribe for weekly AI implementation breakdowns")
- Social media links if applicable
- DN/MWC integration if applicable

**Layer 7: Keyword Architecture (invisible to viewer, visible to algorithm)**
- Ensure primary keyword appears 3-5 times naturally throughout
- Each secondary keyword appears 1-2 times
- Entity keywords appear where contextually relevant
- NO keyword stuffing — every keyword appearance must serve the viewer AND the algorithm

```
DESCRIPTION CONSTRUCTION:
Layer 1 (Hook): [First 2-3 lines]
Layer 2 (Timestamps): [Descriptive timestamps with keywords]
Layer 3 (Authority): [Guest/source section]
Layer 4 (Resources): [Links and references]
Layer 5 (Q&A): [AI-optimized questions and answers]
Layer 6 (CTA): [Specific, value-driven call to action]
Keyword density: Primary [X times], Secondary [X each], Entity [X each]
Sentence rhythm: [Varies — long-short, question-answer patterns present]
```

##### Short-Form Caption Construction (Shorts/TikTok/Reels)

Short-form captions serve fewer functions but in tighter space. Each platform's caption has a SPECIFIC JOB:

- **YouTube Shorts description:** Algorithm classification + hashtag delivery. Viewers rarely read Shorts descriptions. Keep it to a value statement + guest info + hashtags. Don't waste space on persuasion — the title and thumbnail already did that job.
- **TikTok caption:** The first ~50 visible characters ARE the hook for viewers who read before watching. The rest (behind "more") is for keyword density and hashtag placement. TikTok's algorithm reads captions for keyword signals, so keyword-rich natural language matters.
- **Instagram Reels caption:** First ~125 visible characters are the hook. The expanded body rewards the "see more" click with value architecture. Instagram's algorithm weights saves and shares — copy should feel reference-worthy, not disposable.

**Structure:**
- First line: Expand on the thumbnail/cover's promise or add context. This is the visible line.
- Body: Brief value add — what the viewer gains, social proof, or a conversation starter
- Hashtags/tags: Placed according to platform convention
- CTA: If applicable, keep it to one action

**Neuro-lexical for short captions:**
- Every sentence should contain a concrete word
- No sentence longer than ~15 words
- First sentence: Serial position optimized
- If there's room for only ONE sentence: Make it the title of an insight, not a summary of the video

##### LinkedIn Caption Construction

LinkedIn captions are the MOST COMPLEX short-form component. The caption IS the entire post — there's no separate title, thumbnail text, or description. It must do the work of scroll-stopper, click-trigger, commitment device, and value container in one continuous piece.

**Layer 1 (Hook — first ~140 chars, visible before "see more"):**
- This is simultaneously the scroll-stopper AND click-trigger
- Must be a standalone statement that creates enough tension/curiosity to earn the "see more" click
- NOT a summary. NOT a question. A declarative statement that makes the reader need to know more.
- Neuro-lexical: First word = highest-activation element. Last word = emotional payload. Concrete nouns only.

**Layer 2 (Value body — expanded view):**
- Build the argument for why this content matters. Establish stakes. Create the case for watching.
- Short paragraphs (1-3 sentences). Single-sentence paragraphs for emphasis. White space as a tool.
- Use the viewer's language from segment synthesis.
- Each paragraph must advance the argument — no filler, no repetition.
- LinkedIn's algorithm rewards comments over likes. Write copy that invites response.

**Layer 3 (Guest/authority — if applicable):**
- Who this person is and why they matter for THIS topic
- Social links to guest's LinkedIn, X, IG, website
- Positioned after the value body, before CTA

**Layer 4 (CTA):**
- One clear action: "Watch the full conversation above" or equivalent
- Don't stack multiple CTAs. One action, clearly stated.

**Layer 5 (Hashtags):**
- 3-5 hashtags in PascalCase at the bottom
- Never in the hook area — hashtags in the first line damage the scroll-stopping power

**Anti-contrast enforcement:** LinkedIn copy is especially prone to "Not X — it's Y" framing because the platform rewards thought leadership positioning. Resist this. Direct assertions are stronger and more distinctive.

**Copy ≠ transcript enforcement:** LinkedIn audiences are the most likely to feel cheated if they read the guest's key insight in the post and then watch a video that delivers the same line. The post must sell the REASON to watch without giving away the REWARD of watching.

---

#### Component Type 5: Algorithm Signals

**Purpose:** SIGNAL the algorithm. Ensure the platform's recommendation system correctly classifies and distributes this content.

**What it is on each platform:**
- YouTube Long-Form: Tags (5-8, first = exact primary keyword)
- YouTube Shorts: Tags (5-8, include "Shorts" and primary keyword)
- TikTok: Hashtags (exactly 5 — platform hard cap — mix of niche + broad)
- Instagram Reels: Hashtags (exactly 5 — platform hard cap — niche-specific, in caption)
- LinkedIn: Hashtags (3-5, PascalCase, at bottom of caption)

##### Construction Process

**Step 1: Build from keyword clusters.**

Using Market Intelligence keyword clusters:
- Primary keyword → First tag/most prominent hashtag
- Secondary keywords → Next 2-3 tags/hashtags
- Entity keywords → Next 2-3 tags (guest name, company, tool names)
- Long-tail keywords → Remaining tags (exact phrases people search)

**Step 2: Platform-specific formatting.**

- YouTube tags: No #, just comma-separated terms. First tag = exact primary keyword. Include variations (singular/plural, with/without "the"). 5-8 tags within 500 char limit.
- TikTok hashtags: Exactly 5 (platform hard cap). Mix: 2 broad/trending + 3 niche/content-specific. Every hashtag must accurately describe the video content.
- Instagram hashtags: Exactly 5 (platform hard cap). All niche-specific. In caption at the end.
- LinkedIn hashtags: 3-5 in PascalCase. At bottom of caption. Mix of 1-2 broad industry + 2-3 niche topic.

**Step 3: Trend hashtag integration (if applicable).**

From Trend Intelligence: If a genuine trend intersection exists, include the trend's hashtag. But ONLY if the connection is real — algorithm systems penalize misleading hashtags.

---

#### Component Type 6: File Metadata

**Purpose:** SUPPORT discoverability through file-level signals.

##### YouTube File Name Construction

Format: `primary-keyword-entity-name.mp4` (or `-shorts.mp4` for Shorts)

The file name is a minor but real SEO signal. Use the primary keyword and most important entity name. Separate words with hyphens. No spaces, no special characters.

Example: `ai-implementation-failures-brandon-knight.mp4`

---

#### Output Boundary Rule

The construction protocol produces ONLY deployable copy. No post-publish monitoring checklists, optimization suggestions, or advisory content. If it can't be pasted into a platform's upload interface, it doesn't belong in the output.



---

## Reference: content-intelligence

#### What This Phase Produces

A complete analysis of the content's structure, value, entities, emotional landscape, and transformation promise — extracted from the transcript or description, not assumed from the topic. This packet tells every subsequent phase WHAT we're optimizing and WHERE the value lives.

#### Why It Exists

Most copy optimization starts with the topic: "This is a video about AI." That produces generic copy. This phase starts with the SPECIFIC content: "This is a video where a former Google engineer reveals that 73% of enterprise AI pilots fail because companies skip the judgment training step, and the guest has personally rescued 14 failed implementations." That produces copy that can only belong to THIS video.

---

#### Step 1: Core Argument Extraction

**Do NOT summarize the video.** Extract the single most valuable argument, revelation, or insight. This is the thing that, if you could only communicate ONE idea to the viewer, would make them watch.

##### 1.1 The Extraction Process

Read the full transcript. Then answer:

- **What does the viewer KNOW after watching that they didn't know before?** (The knowledge delta)
- **What can the viewer DO after watching that they couldn't do before?** (The capability delta)
- **What does the viewer BELIEVE differently after watching?** (The perspective delta)

At least one of these will be strong. That's your core argument.

##### 1.2 The Specificity Test

State the core argument in one sentence. Then test it:

- Could this sentence describe a DIFFERENT video on the same topic? → Too generic. Add the specific mechanism, data point, or example that makes THIS content unique.
- Does the sentence contain a specific number, name, timeframe, or mechanism? → Good. Specificity is what separates "AI is changing business" from "73% of AI pilots fail in the first 90 days — here's the pattern."
- Does the sentence make a promise the content actually delivers? → Essential. Never promise what the content doesn't contain.

```
CORE ARGUMENT:
- Knowledge delta: [What they learn — specific]
- Capability delta: [What they can do — specific]
- Perspective delta: [What they see differently — specific]
- One-sentence core argument: [The single most valuable thing, stated specifically]
- Specificity elements: [Numbers, names, mechanisms, timeframes present]
```

---

#### Step 2: Entity Mapping

Every person, company, concept, technology, and framework mentioned in the content is a potential SEO signal, authority marker, and audience hook. Map them by importance.

##### 2.1 Primary Entities (appear in title/tags, drive the click)

These are the entities the target audience would SEARCH for. They go in titles, tags, descriptions, and file names.

- **People**: The guest, any named experts, researchers cited
- **Companies/Organizations**: Employers, case studies, institutions mentioned
- **Concepts**: The main topic, methodology, framework introduced
- **Technologies**: Specific tools, platforms, software discussed

##### 2.2 Secondary Entities (appear in descriptions/tags, deepen relevance)

These are entities that ADD context but aren't the primary draw:

- Other people mentioned in passing
- Related companies or competitors discussed
- Supporting concepts or adjacent topics
- Tools mentioned but not deeply covered

##### 2.3 Tertiary Entities (appear only in description depth, catch long-tail searches)

These are entities that appeared briefly but could match specific search queries:

- Statistics sources
- Books, papers, or reports cited
- Historical references
- Geographic locations mentioned

```
ENTITY MAP:
Primary: [List with role — e.g., "Brandon Knight (Guest, VP at Zoom, AI strategy expert)"]
Secondary: [List with context]
Tertiary: [List with search potential]
```

---

#### Step 3: Content Archetype Classification

Every piece of content has a dominant archetype that determines how it should be positioned. The archetype is NOT the topic — it's the STRUCTURE of how value is delivered.

##### Available Archetypes

**Transformation**: Content shows a before/after. Someone or something changed, and the viewer can learn how.
- Position as: "Here's how X became Y" or "The method that changed Z"
- Viewer motivation: They want the same transformation
- Best proof: The transformation evidence itself

**Revelation**: Content exposes something hidden, counterintuitive, or not widely known.
- Position as: "What they don't tell you about X" or "The hidden pattern behind Y"
- Viewer motivation: They want insider knowledge
- Best proof: The surprising data or evidence

**Narrative**: Content follows a story — a journey, a case study, an experience.
- Position as: "How [character] went from A to B" or "The story of X"
- Viewer motivation: They want to see how it plays out
- Best proof: The story's specificity and emotional resonance

**Analysis**: Content breaks down a complex topic into understandable parts.
- Position as: "X explained" or "Breaking down Y" or "Why Z works"
- Viewer motivation: They want to understand something they currently don't
- Best proof: Clarity and depth of the breakdown

**Commentary**: Content offers perspective on current events, trends, or cultural moments.
- Position as: "Why X matters" or "What Y means for Z"
- Viewer motivation: They want a trusted perspective to orient their own thinking
- Best proof: The uniqueness and reasoning quality of the perspective

**Evaluation**: Content reviews, compares, or assesses options.
- Position as: "X vs Y" or "Is Z worth it?" or "The best A for B"
- Viewer motivation: They're deciding between options
- Best proof: Thoroughness and fairness of the evaluation

**Proof**: Content demonstrates something working — a tutorial, walkthrough, or live example.
- Position as: "Watch me do X" or "X in action" or "Step-by-step Y"
- Viewer motivation: They want to see it work before trying it themselves
- Best proof: The demonstration itself

**Engagement**: Content is primarily conversational — interviews, debates, roundtables.
- Position as: "[Guest] on X" or "[Guest] reveals Y" or "The conversation about Z"
- Viewer motivation: They want to hear from this specific person or about this specific exchange
- Best proof: The guest's authority or the conversation's energy

##### Classification Process

1. Read the transcript and identify which archetype DOMINATES (most content will touch multiple, but one drives the structure)
2. Identify the secondary archetype (what's the support structure?)
3. Document how the archetype shapes positioning

```
CONTENT ARCHETYPE:
- Primary: [Archetype] — because [evidence from transcript]
- Secondary: [Archetype] — because [evidence from transcript]
- Positioning implication: [How this archetype should be framed for the viewer]
- Viewer motivation match: [What the viewer is seeking when they click]
- Best proof type: [What evidence from the content is most compelling]
```

---

#### Step 4: Emotional Peak Mapping

Every piece of content has moments of higher and lower emotional energy. The peaks are where the most valuable clips and hook inspiration live. The valleys are where viewers drop off.

##### 4.1 Identifying Peaks

Scan the transcript for:

- **Surprise moments**: Where new information contradicts expectations
- **Tension moments**: Where conflict, disagreement, or stakes are highest
- **Aha moments**: Where complex ideas click into clarity
- **Vulnerability moments**: Where the speaker gets personal or honest
- **Energy spikes**: Where the speaker's passion, humor, or intensity rises noticeably
- **Data drops**: Where specific numbers, statistics, or evidence land

##### 4.2 Mapping to Components

Each peak has a purpose in the optimization:

- The HIGHEST peak → potential hook content (first 15 seconds should tease or deliver this)
- The most SURPRISING peak → potential thumbnail/title angle (the thing that creates curiosity gap)
- The most QUOTABLE peak → internal reference for understanding the content's strongest moment (NEVER reproduce this quote in copy — the guest's words are the viewer's reward, not copy material)
- The most EMOTIONAL peak → potential short-form clip angle (TikTok/Reels/Shorts)

```
EMOTIONAL PEAKS:
1. [Timestamp/location] — [Type: surprise/tension/aha/vulnerability/energy/data] — [Verbatim quote or description]
   → Component use: [Where this peak should appear in the optimization]
2. [Continue for all significant peaks — aim for 3-6]

PEAK HIERARCHY:
- Highest peak for hook: [Which peak and why]
- Best peak for curiosity gap: [Which peak and why]
- Best peak for hook inspiration: [Which peak and why — use the ENERGY of this moment to inform copy, never quote it directly]
- Best peak for short-form: [Which peak and why — if applicable]
```

---

#### Step 5: Transformation Promise Derivation

The transformation promise is what the viewer gets in exchange for their time. It's the answer to: "Why should I watch this instead of the 500 other videos on this topic?"

##### 5.1 The Promise Hierarchy

From strongest to weakest:

1. **Outcome promise**: "After watching, you will be able to [specific action]" — Most powerful for proof/transformation archetypes
2. **Knowledge promise**: "After watching, you will understand [specific insight]" — Most powerful for analysis/revelation archetypes
3. **Perspective promise**: "After watching, you will see [topic] differently" — Most powerful for commentary/narrative archetypes
4. **Experience promise**: "Watching this will make you feel [specific emotion]" — Most powerful for engagement/narrative archetypes

##### 5.2 Promise Construction

From the core argument and archetype, construct the promise:

- What SPECIFICALLY does the viewer get? (Not "learn about AI" — "learn the 3-step framework that rescued 14 failed AI implementations")
- Is the promise UNIQUE to this content? (Could another video on the same topic make the same promise? If yes, narrow further)
- Is the promise DELIVERABLE? (Does the content actually deliver this? Never overpromise)
- Is the promise DESIRABLE to the target audience? (This connects to the segment synthesis — the promise must speak to what THEY want)

```
TRANSFORMATION PROMISE:
- Promise type: [Outcome / Knowledge / Perspective / Experience]
- Specific promise: [One sentence — what the viewer gets]
- Uniqueness: [What makes this promise unique to THIS content]
- Delivery check: [Where in the content is the promise fulfilled]
- Desirability hypothesis: [Why the target audience would want this — to be verified in Phase 2]
```

---

#### Step 6: Guest Intelligence (If Applicable)

If the content features a guest, their identity is a major optimization lever. People search for people.

##### 6.1 Guest Authority Mapping

- **Who are they?** (Current title, company, notable achievements)
- **Why should the viewer care?** (What makes them worth listening to on THIS topic — not their general bio)
- **What's their searchable identity?** (How do people search for them? Full name? Company + role? Known for what?)
- **What audience do they bring?** (Their followers/audience may differ from the channel's audience — this creates cross-pollination opportunity)

##### 6.2 Guest Entity Strategy

- **Title inclusion**: Should the guest's name be in the title? (Yes if they're more searchable than the topic. No if the topic is more searchable than they are.)
- **Description positioning**: Guest bio should appear early in description if they bring authority. Later if the topic is the draw.
- **Tag strategy**: Include guest name, company, and associated topics as tags
- **Thumbnail strategy**: If the guest is recognizable to the target audience, their face may be the strongest scroll-stopper

```
GUEST INTELLIGENCE:
- Name: [Full name as commonly searched]
- Authority: [Why they matter for THIS topic specifically]
- Searchability: [High/Medium/Low — how often is this person searched?]
- Audience overlap: [Does their audience match or extend the channel's audience?]
- Title strategy: [Name in title: yes/no and why]
- Description strategy: [Bio position: early/mid/late and why]
- Thumbnail strategy: [Face inclusion: yes/no and why]
```

---

#### Content Intelligence Output

At this point you should have:

- The single most valuable argument/insight in the content (stated specifically, not generically)
- A complete entity map (primary, secondary, tertiary) for SEO and authority signaling
- The content archetype (which determines positioning and proof strategy)
- Emotional peaks mapped to component uses (which moments go where)
- A transformation promise (what the viewer gets, stated uniquely and specifically)
- Guest intelligence if applicable (who they are, why they matter, how to leverage them)

**This packet feeds Phase 2 (Segment Intelligence).** The content archetype shapes which viewer motivations to research. The transformation promise creates a hypothesis about who would want this. The entity map provides research starting points for keyword and competitive analysis.

##### Verification Before Proceeding

| Question | If you can't answer specifically → More analysis needed |
|----------|--------------------------------------------------------|
| Could the core argument describe a different video? | Too generic — find the specific mechanism/data/example |
| Does the entity map include specific, searchable names? | Missing SEO opportunities — re-scan transcript |
| Is the archetype classification supported by transcript evidence? | You're guessing — cite specific moments |
| Are emotional peaks tied to specific moments, not general impressions? | Too vague — locate exact timestamps/quotes |
| Does the transformation promise pass the uniqueness test? | Not differentiated enough — narrow further |

---

#### How This Feeds Downstream

| Content Intelligence Element | Where It Goes | What It Controls |
|------------------------------|---------------|------------------|
| Core Argument | Strategic Synthesis | The central promise all 3 packages must deliver |
| Entity Map | Market Intelligence, Tags, Description | SEO keyword foundation, authority signals |
| Content Archetype | Segment Intelligence, Strategic Synthesis | Which viewer motivations to research, positioning strategy |
| Emotional Peaks | Construction Protocol | Hook content, thumbnail angles, copy energy |
| Transformation Promise | Title/Caption construction | The curiosity gap or promise that triggers the click |
| Guest Intelligence | All components | Name placement, authority leveraging, cross-pollination |



---

## Reference: platform-psychology-engine

WHY viewers on each platform think differently — and how those cognitive differences determine every copy decision. This is not about format constraints (those are in platform-specs.md). This is about the BRAIN STATE the viewer is in when they encounter your content on each platform, and how that brain state changes what works.

---

#### The Core Principle: Same Person, Different Brain

The same human being operates in fundamentally different cognitive modes depending on which platform they're using. A VP of Engineering scrolling TikTok at 11pm is neurologically different from the same VP searching YouTube at 2pm. Their attention span, trust threshold, decision speed, language processing, and action triggers all shift based on platform context.

Copy that ignores this produces "adapted" content — YouTube copy shortened for TikTok, Instagram captions pasted from YouTube descriptions. Adapted content underperforms native content because it's speaking to the wrong brain state.

---

#### YouTube Long-Form: The Intentional Brain

##### Cognitive State: Directed Search + Committed Viewing

The YouTube long-form viewer has made a DELIBERATE CHOICE to be here. They either:
- **Searched for something specific**: They typed a query, evaluated results, and chose your video. This is HIGH-INTENT behavior. Their brain is in evaluation mode — scanning titles and thumbnails to find the BEST match for their need.
- **Selected from recommended**: The algorithm surfaced your video alongside others. They evaluated multiple options and chose yours. Still intentional, but the evaluation is comparative rather than search-driven.
- **Followed from a subscription**: They actively subscribed and chose to watch. Lowest evaluation threshold — they already trust the source.

##### What This Means for Copy

**Title psychology**: The YouTube long-form title is evaluated, not glanced. The viewer reads it fully (unless it's too long for mobile). They compare it against other titles. They're asking: "Will this be worth 10-30 minutes of my time?" The title must answer this question through:
- Specificity (vague promises lose to specific ones)
- Credibility (the claim must be believable for this audience's skepticism level)
- Completeness signaling (the viewer wants to know they won't need to watch 5 other videos after this one)

**Thumbnail psychology**: YouTube thumbnails appear in a GRID alongside competitors. The viewer's eye scans multiple thumbnails simultaneously. The brain uses peripheral vision to detect pattern interrupts before focused attention engages. Thumbnails that match the visual pattern of surrounding thumbnails become invisible. Thumbnails that break the pattern get focused attention — but must then justify that attention in < 1 second.

**Hook psychology**: The viewer has ALREADY committed to clicking — the hook's job is not to attract (the title did that) but to VALIDATE the click decision and create commitment to watch further. The brain is asking: "Did I make the right choice?" in the first 3-5 seconds. If the hook confirms the title's promise with added specificity, the viewer relaxes into watching. If the hook feels generic or different from what the title promised, the viewer's brain registers "bait and switch" and they bounce.

**Description psychology**: YouTube descriptions are read in two contexts:
1. **Before clicking (search results)**: Only the first 2 lines visible. Functions as a secondary title — must validate the title's promise with additional specificity.
2. **After clicking (below the video)**: Read by engaged viewers seeking more — links, chapters, resources, context. Functions as a value extension.

The description psychology is SPLIT — the top serves evaluation, the body serves engagement.

##### Decision Timeline

| Moment | Duration | Brain Activity | Copy Component Responsible |
|--------|----------|---------------|---------------------------|
| Thumbnail scan | 0.3-0.8s | Pattern interrupt detection | Thumbnail text |
| Title evaluation | 1-3s | Value assessment, comparison | Title |
| Click decision | 0.5-1s | Risk/reward calculation | Thumbnail + title system |
| Hook evaluation | 3-8s | Click validation, commitment decision | Hook script |
| Stay/leave decision | 8-15s | "Is this worth my time?" | Hook promise + early content quality |
| Active watching | 15s+ | Engagement, learning, emotional response | Content itself |

##### Retention Curve Psychology

YouTube long-form has a characteristic retention curve:
- **0-30s cliff**: The steepest drop. Viewers who feel the hook didn't match the title leave immediately. The hook's job is to minimize this cliff.
- **Mid-video plateau**: Engaged viewers settle into a steady state. Drops here come from pacing problems (too slow, too repetitive). Chapter titles in the description help by setting expectations for what's coming.
- **End-of-video drop**: Natural. But a strong CTA placed 30-60 seconds before the end (NOT in the last 10 seconds, when most have already left) captures more action.

**Copy implication**: The hook script must be constructed to specifically address the 0-30s cliff. Every beat of the hook exists to prevent one type of bounce:
- Beat 1 (0-3s): Prevents "wrong video" bounce — confirms the topic
- Beat 2 (3-8s): Prevents "heard this before" bounce — introduces what's different
- Beat 3 (8-15s): Prevents "not worth my time" bounce — previews the payoff

---

#### YouTube Shorts: The Split-Attention Brain

##### Cognitive State: Passive Discovery + Rapid Evaluation

YouTube Shorts viewers are in the SHORTS FEED — a vertical scroll of short videos. This is fundamentally different from long-form YouTube:
- They did NOT search for this content
- They are NOT comparing options
- They are SWIPING through a feed, giving each video 0.5-2 seconds to earn attention
- Their brain is in AUTOMATIC PROCESSING MODE — the conscious mind is barely engaged. The thumb swipes on autopilot. Only a strong enough signal interrupts the automatic pattern.

##### What This Means for Copy

**Frame 1 overlay psychology**: This IS the entire hook. The viewer decides stay or swipe in 0.5 seconds based almost entirely on the first frame. The brain processes this frame PRE-CONSCIOUSLY — the decision to stay happens before the viewer is aware they've made it. This means:
- The overlay must activate the fastest neural pathway: visual recognition
- Words must be concrete, large, high-contrast
- In-group recognition words are the most effective Frame 1 element because they process fastest (the brain recognizes "in-group" before it consciously reads the word)
- Questions are effective because the brain cannot leave a question unprocessed — it forces a micro-pause that interrupts the swipe pattern

**Title psychology**: Shorts titles are SECONDARY. Most viewers never see them — they're watching in the feed, not in search results. Shorts titles serve the ALGORITHM (topic classification) more than the VIEWER (click decision). This means:
- Optimize titles for keyword matching and topic signals
- Don't waste creative energy on Shorts titles — put it into overlay sequences
- The title is a search discovery tool for AFTER the Short performs well in the feed

**Overlay sequence psychology**: Shorts viewers have NO obligation to stay. Every second must provide enough value or intrigue to prevent swipe-away. The overlay sequence must create a CONTINUOUS FORWARD PULL:
- Each overlay introduces one new piece of information
- Each piece of information is incomplete enough to require the NEXT overlay to make sense
- Pacing must match natural reading speed (~2 words/second for on-screen text)
- The sequence creates a micro-addiction loop: "one more beat, one more beat, one more beat"

**Completion psychology**: The YouTube Shorts algorithm heavily weights COMPLETION RATE and LOOP/REWATCH signals. This changes the copy strategy fundamentally:
- The content (and overlay sequence) should be structured so the PAYOFF comes at the very end
- If possible, the ending should connect back to the beginning (loop incentive)
- The CTA should encourage replay behavior: "Watch again and catch what you missed"
- OVERPROMISING in Frame 1 kills completion rate — if the content can't deliver on a big Frame 1 promise, viewers leave mid-video and the algorithm penalizes

##### Decision Timeline

| Moment | Duration | Brain Activity | Copy Component Responsible |
|--------|----------|---------------|---------------------------|
| Frame 1 scan | 0.3-0.5s | Pre-conscious pattern interrupt | Frame 1 overlay |
| Stay/swipe decision | 0.5-1s | Automatic evaluation | Frame 1 overlay + first 1-2 seconds of content |
| Active watching | 1-15s | Continuous value assessment | Overlay sequence pacing |
| Completion decision | Last 3-5s | "Was this worth it?" | Payoff/loop construction |
| Post-completion action | 0-2s | Share/save/follow impulse | CTA overlay |

---

#### TikTok: The Dopamine-Seeking Brain

##### Cognitive State: Entertainment-First Discovery + Trend Participation

TikTok viewers are in the most PASSIVE cognitive state of any major platform. The For You page is algorithmically curated with zero viewer effort. The brain enters a dopamine-seeking loop:
- Watch → Get reward (entertainment/information/surprise) → Swipe → Repeat
- The threshold for "reward" is LOW — TikTok trains the brain to expect quick hits
- The threshold for "boredom" is also LOW — the brain swipes at the first sign of prediction (I know where this is going)
- NOVELTY is the primary neural reward on TikTok. The brain wants to be SURPRISED.

##### What This Means for Copy

**Caption psychology**: TikTok captions are read WHILE watching or AFTER watching. They're not evaluation tools (like YouTube titles) — they're CONTEXT ENHANCERS. The caption adds meaning to what the viewer already saw. This means:
- Captions don't need to attract (the algorithm and content do that)
- Captions need to AMPLIFY — add a layer of meaning, context, or action to the content
- The best TikTok captions create a "second viewing" impulse: reading the caption reframes the video, making the viewer want to watch again
- Short captions outperform long ones for most content types because TikTok viewers have LOW processing patience for text

**Frame 1 overlay psychology**: Same as Shorts — 0.3-0.5 second stay/swipe decision. But TikTok has a UNIQUE factor: TREND RECOGNITION. The brain is primed to recognize trending formats, sounds, and visual patterns. If Frame 1 signals "this is a format I recognize," the brain grants more time because it anticipates the reward pattern associated with that trend. This means:
- Participating in a trending format (with your unique content) earns you FREE attention time
- But the content must SUBVERT the expectation enough to provide novelty within the familiar format
- If Frame 1 signals a trend but the content delivers exactly what's expected, the brain codes it as "seen this before" and engagement drops

**Overlay sequence psychology**: TikTok viewers process overlay text ALONGSIDE audio and visual content simultaneously. This is a THREE-CHANNEL processing environment (audio + visual + text). The brain can handle this, but each channel must be COMPLEMENTARY, not redundant:
- Overlay text that repeats what the audio says = wasted channel. The brain doesn't process redundant information twice — it just ignores one channel.
- Overlay text that adds DIFFERENT information to the audio = value multiplier. The brain processes both streams and feels like it's getting more value per second.
- Overlay text that CONTRADICTS the audio = confusion. The brain can't resolve the conflict and experiences cognitive dissonance (usually = swipe away).

**Hashtag psychology**: TikTok viewers RARELY read hashtags consciously. Hashtags serve the ALGORITHM, not the viewer. But there's an exception: COMMUNITY HASHTAGS that function as identity signals. Seeing #CorpTok or #DevTok or #BookTok in the caption activates in-group recognition for members of those communities. For the right niche audience, a community hashtag in the caption can increase engagement because it signals "this is for US."

##### Decision Timeline

| Moment | Duration | Brain Activity | Copy Component Responsible |
|--------|----------|---------------|---------------------------|
| First frame | 0.3s | Pre-conscious novelty detection | Frame 1 overlay + visual |
| Stay/swipe | 0.5-1s | "Have I seen this before?" | Content novelty + overlay intrigue |
| Engagement mode | 1-10s | Dopamine reward seeking | Overlay sequence + audio |
| Completion/loop | Last 2-3s | "Was this rewarding?" | Payoff construction |
| Action impulse | 0-1s | Social sharing impulse | Caption CTA + community hashtag |

##### TikTok-Specific Psychological Patterns

**The Prediction Penalty**: TikTok's algorithm and viewer behavior both punish predictability. If a viewer can predict how the video ends after 3 seconds, they swipe. Copy must create UNCERTAINTY in the viewer's mind about what's coming next:
- Avoid giving away the conclusion in Frame 1
- Use overlays that build toward a non-obvious payoff
- The caption can hint at the value but should leave the specifics to the video

**The Authenticity Premium**: TikTok's brain state rewards content that feels UNPRODUCED. Overly polished copy activates the "ad detection" circuit — the brain categorizes it as commercial and discounts it. This means:
- Captions should feel conversational, even slightly imperfect
- Overlay text that looks "designed" performs worse than text that looks "typed"
- First-person, present-tense, casual voice outperforms third-person, formal, institutional voice

**The Community Multiplier**: TikTok engagement is community-driven. Content that makes the viewer feel like part of a GROUP gets shared more than content that serves an individual. Copy that uses "we" language, community references, and shared-experience framing activates the belonging circuit, which drives the highest-value behaviors (share, stitch, duet).

---

#### Instagram Reels: The Aspirational Brain

##### Cognitive State: Curated Discovery + Identity Construction

Instagram Reels viewers are in a UNIQUE cognitive state that differs from both YouTube and TikTok:
- They're browsing a platform where IDENTITY CURATION is the primary activity
- Everything they engage with (like, save, share) becomes part of their digital identity
- The brain is in ASPIRATIONAL MODE — it gravitates toward content that reflects WHO THEY WANT TO BE
- The decision to engage is filtered through: "Does engaging with this make me look/feel like the person I want to be?"

This is why Instagram's highest-value engagement signal is SAVES, not likes. Saving content is a private act of self-improvement — the viewer saves things they want to return to, learn from, or implement. It's aspirational behavior.

##### What This Means for Copy

**Cover text psychology**: Instagram Reels covers appear in THREE contexts: the profile grid, the Explore page, and the Reels tab. In all three, the cover is seen WITHOUT the caption and often WITHOUT sound. The cover text must communicate ENOUGH value on its own to generate a tap-to-play:
- Profile grid: The viewer is scanning someone's entire content library. Covers that clearly communicate "what this Reel is about" in 3-5 words help the viewer navigate.
- Explore page: The viewer is discovering new creators. Covers compete against hundreds of other options. The cover must signal "this is high-quality content worth your time."
- Reels tab: Similar to TikTok's feed, but Instagram Reels viewers tend to be slightly more intentional — they're choosing to browse Reels specifically.

**Caption psychology**: Instagram captions serve a DIFFERENT purpose than TikTok captions because of the aspirational brain state:
- Instagram captions that provide SAVE-WORTHY VALUE outperform entertaining-but-forgettable captions
- Frameworks, step-by-step processes, lists of resources, and actionable insights drive saves
- The caption should feel like a MINI-ARTICLE — valuable enough that the viewer would bookmark it even without the video
- The first ~125 characters (before truncation) must communicate enough value to make the viewer tap "...more"
- After the fold, the value must EXCEED what the first line promised — or the viewer feels tricked

**Hashtag psychology**: Instagram's hashtag system is more mature than TikTok's. Viewers ACTUALLY FOLLOW hashtags and discover content through them. This means:
- Niche-specific hashtags connect you to REAL communities with active members
- Broad hashtags (#motivation, #entrepreneur) attract low-intent viewers who scroll past
- The optimal hashtag strategy is PRECISE — reaching the exact community most likely to save and share
- Hashtags on Instagram are a TARGETING tool, not a reach tool

##### Decision Timeline

| Moment | Duration | Brain Activity | Copy Component Responsible |
|--------|----------|---------------|---------------------------|
| Cover/First frame | 0.5-1s | "Does this look valuable/aspirational?" | Cover text + visual quality |
| Watch/swipe | 1-3s | "Is this worth my attention?" | Overlay sequence opening |
| Caption evaluation | 2-5s | "Should I read more?" | Caption first line (≤125 chars) |
| Save decision | During/after | "Will I need this again?" | Caption body (value density) |
| Share decision | During/after | "Would sharing this reflect well on me?" | Content quality + relevance |
| Follow decision | After | "Do I want more of this?" | Overall value + profile consistency |

##### Instagram-Specific Psychological Patterns

**The Save Reflex**: When the brain encounters content that is genuinely useful AND attractively presented, it triggers a "preserve this" impulse. This is the save reflex, and it's the most valuable action on Instagram. Copy that triggers it:
- Provides a complete, actionable framework in the caption
- Uses numbered steps or clear structure (even without formal lists — "First... Then... Finally..." works)
- Makes the viewer think "I'll need this when I'm doing [specific task]"
- Signals that the information is TIME-SENSITIVE or HARD-TO-FIND-AGAIN

**The Aesthetic Filter**: Instagram's brain state includes an aesthetic evaluation layer that doesn't exist on TikTok or YouTube. Content (and copy) that LOOKS polished gets more cognitive credit. This doesn't mean over-designed — it means:
- Cover text should be clean, legible, and visually balanced
- Overlay text should feel intentionally placed, not slapped on
- Caption formatting should use line breaks for readability
- The overall impression should be "this creator cares about quality"

**The Identity Alignment Test**: Before sharing or saving, the Instagram brain runs an identity test: "Does engaging with this align with how I want to be perceived?" This is subconscious but powerful. Copy that passes this test:
- Uses aspirational but attainable framing ("If you're building something meaningful..." not "If you're a CEO of a Fortune 500...")
- Avoids language that would feel embarrassing to share ("This will blow your mind" might perform on TikTok but feels cringey to share on Instagram)
- Positions the viewer as ALREADY part of the aspirational group, not trying to join it

---

#### Cross-Platform Psychological Constants

Despite the differences above, some psychological principles are constant across ALL platforms:

##### 1. Curiosity Gaps Are Universal
The brain cannot leave an open question unresolved. Creating a gap between "what I know" and "what I need to know" drives engagement on every platform. What CHANGES is the SIZE of the gap:
- YouTube: Can sustain a large gap (the viewer is willing to invest 10-30 minutes to resolve it)
- TikTok: Needs a small, quickly-resolvable gap (the viewer gives you 15-60 seconds)
- Instagram: Medium gap, but the resolution must feel WORTH SAVING

##### 2. Social Proof Adapts to Platform
- YouTube: Social proof = view count, subscriber count, guest credentials
- TikTok: Social proof = trend participation, community membership, stitch/duet engagement
- Instagram: Social proof = aesthetic quality, save count, share count, comment quality

##### 3. Trust Formation Speed Differs
- YouTube: Trust forms over 30-60 seconds (hook + early content). The viewer is patient.
- TikTok: Trust forms in 2-3 seconds or not at all. The viewer is impatient.
- Instagram: Trust forms through ACCUMULATED signals — content quality + caption value + profile consistency. One Reel rarely creates deep trust, but a save creates a relationship seed.

##### 4. The Algorithm Reward → Copy Strategy Connection
Each algorithm rewards different viewer behaviors, which should shape what the copy optimizes for:

| Platform | Algorithm Rewards | Copy Should Optimize For |
|----------|------------------|--------------------------|
| YouTube Long | Watch time, satisfaction | Promise only what content delivers. Long-form value. |
| YouTube Shorts | Completion rate, loops | Payoff at end. Loop structure. Don't overpromise. |
| TikTok | Watch-through, engagement velocity | Novelty. Unpredictability. Community. |
| Instagram Reels | Saves, shares, profile visits | Save-worthy value. Shareable framing. Quality signals. |

---

#### LinkedIn: Evaluation Mode

##### The Brain State

LinkedIn viewers are in **professional evaluation mode**. They're assessing content for: "Does this person know something I need to know?" and "Will engaging with this make me look smart/informed to my network?"

This is fundamentally different from all other platforms. The viewer isn't being entertained (TikTok), inspired (Instagram), or educated (YouTube). They're EVALUATING — both the content AND how engaging with it reflects on their professional identity.

##### Attention Mechanics

- **Scroll behavior:** Deliberate, evaluative scanning. LinkedIn users read headlines and first lines more carefully than any other platform.
- **Critical window:** First ~140 characters (before "see more"). This is the entire decision point. If the first line doesn't signal professional relevance, the post is skipped.
- **Engagement decision:** LinkedIn users consider "what will my comment say about me?" before engaging. Copy that invites professional response gets algorithmic reward.
- **Distribution window:** First 60-120 minutes are critical. Early comments (especially from recognized professionals) determine whether the algorithm pushes wider.

##### What This Means for Copy

- **Hook line must signal expertise, not entertainment.** "Nobody told us" works. "You won't BELIEVE what happened" doesn't.
- **The caption body must reward the "see more" click with professional value.** Not emotion, not narrative for its own sake — value that makes the reader feel smarter or more informed.
- **Short paragraphs are essential.** LinkedIn's interface makes dense text blocks look impenetrable. White space is a readability tool.
- **No external links in post body.** LinkedIn deprioritizes posts with external links by ~30%. Place links in the first comment.
- **Comments > likes.** The algorithm weights comments 15x more than likes. Copy should invite substantive response — not "Agree?" bait, but genuine professional questions or positions worth debating.

##### LinkedIn-Specific Cognitive Patterns

- **Professional identity filter:** Every piece of content is processed through "how does this relate to my career/industry/expertise?" If the copy doesn't pass this filter in the first line, it's invisible.
- **Network visibility awareness:** LinkedIn users know their engagement is visible to their network. They won't comment on or share content that could make them look uninformed, controversial, or off-brand.
- **Thought leadership hunger:** The platform rewards original thinking and expertise demonstration. Copy that demonstrates the poster KNOWS something the reader doesn't has the highest engagement potential.
- **Anti-corporate reflex:** Despite being a professional platform, overly corporate or marketing-speak copy underperforms. The highest-performing LinkedIn content feels like a smart person talking to peers, not a brand broadcasting a message.



---

## Reference: platform-specs

#### What This File Contains

Hardcoded component anatomy for each supported platform. These specifications do NOT change based on content, audience, or strategy. They are format constraints imposed by each platform's interface, algorithm, and user behavior patterns.

**What changes per run:** The CONTENT of each component (derived from research and strategy).
**What never changes:** The STRUCTURE, CHARACTER LIMITS, FORMAT RULES, and COMPONENT PURPOSES defined here.

---

#### Component Purpose Map (Universal)

Every platform's components serve one of five fixed purposes. The purpose determines which construction process to use (see construction-protocol.md).

| Purpose | Job | Window | Components |
|---------|-----|--------|------------|
| STOP the scroll | Pattern interrupt — earn 0.3s of attention | 0.3-1 second | Thumbnail text, Cover text, Frame 1 overlay |
| TRIGGER the click | Curiosity/promise gap — convert attention to engagement | 1-3 seconds | Title, Caption first line |
| COMMIT the viewer | Prevent bounce — hold them past the critical window | 3-15 seconds | Hook script, Overlay sequence |
| DEEPEN engagement | Reward with value — deliver on the promise | Ongoing | Description, Caption body |
| SIGNAL the algorithm | Topic classification — ensure discoverability | Background | Tags, Hashtags, File name |

---

#### YouTube Long-Form

##### Component Anatomy

**Title**
- Character limit: ≤60 characters (≤50 recommended to avoid truncation on mobile)
- Primary keyword: Must appear in first 3-5 words
- Truncation: YouTube truncates titles at ~48-50 chars on mobile. Critical information must be in the first 50.
- Case: Title case or sentence case (avoid ALL CAPS for full title — save for 1-2 emphasis words maximum)

**Description**
- Minimum: ≥250 words (for SEO and AI search optimization)
- First 2-3 lines: Visible before "Show more" — this is the second title
- Timestamps: Required for any content >10 minutes. Format: `0:00 Label text`
- Guest info: Name, title, links — positioned early if guest is the draw
- Resources: Links mentioned in video, related tools, cited sources
- Q&A section: 2-3 questions with brief answers for AI search optimization
- CTA: Subscribe + specific value proposition
- Keyword density: Primary keyword 3-5x, secondary keywords 1-2x each, naturally embedded

**Tags**
- Count: 5-8 tags (within 500 character total limit)
- First tag: Exact primary keyword
- Subsequent: Secondary keywords, entity names, long-tail phrases
- Format: Plain text, no #. YouTube uses these for topic classification, not display.

**Thumbnail Text**
- Word count: ≤5 words
- Readability: Must be legible at mobile size (~3-4cm wide)
- Function: STOP the scroll — tells one part of the two-part story with the title
- Font: Bold, high contrast against background
- Avoid: Full sentences, small text, text that duplicates the title
- Emotional: Text should carry emotional weight (shock, curiosity, promise)

**Hook Script (0-15 seconds)**
- Structure: OPEN (0-3s) → ESCALATE (3-8s) → BRIDGE (8-15s)
- OPEN: Establish relevance in viewer's language
- ESCALATE: Raise stakes with specific tension
- BRIDGE: Preview value without giving away the answer
- Avoid: "Hey guys, welcome back" — cold open is mandatory for retention
- Critical metric: Audience retention at 30-second mark

**File Name**
- Format: `primary-keyword-entity-name.mp4`
- Rules: Hyphens between words, no spaces, no special characters, lowercase
- Include: Primary keyword + most important entity (guest name or topic term)

##### YouTube Long-Form Quality Gates

Before outputting, verify each component passes:

| Component | Gate | Fail Action |
|-----------|------|-------------|
| Title | ≤60 chars, keyword in first 5 words | Shorten or reposition keyword |
| Title | No truncation of critical info at 50 chars | Restructure to front-load |
| Description | ≥250 words | Expand value architecture |
| Description | Timestamps present (if >10 min content) | Add descriptive timestamps |
| Description | Primary keyword appears 3-5x | Embed naturally |
| Tags | 5-8 tags, first = exact primary keyword | Add or reorder |
| Thumbnail text | ≤5 words, legible at mobile size | Simplify |
| Thumbnail text | Complements title (two-part story) | Revise to reduce redundancy |
| Hook | 3-beat structure (OPEN/ESCALATE/BRIDGE) | Restructure beats |
| Hook | Cold open (no "hey guys") | Remove greeting |
| File name | Contains primary keyword + entity | Revise |

---

#### YouTube Shorts

##### Component Anatomy

**Title**
- Character limit: ≤50 characters
- Includes primary keyword
- Shorter and punchier than long-form — Shorts titles appear in vertical feed context

**Description**
- Length: 100-300 characters
- Must include: #Shorts tag
- Brief: Value statement + hashtags
- Don't over-stuff — Shorts descriptions are less read than long-form

**Tags**
- Count: 5-8 tags
- Must include: "Shorts" as a tag
- Primary keyword as first tag
- Fewer than long-form — algorithm classification is simpler for short content

**Thumbnail Text**
- Word count: ≤5 words
- Readability: Must be legible at mobile size in vertical feed context
- Function: STOP the scroll — this is what appears on the static preview before the viewer taps. It tells one part of the two-part story with the title.
- Design: Bold, high contrast. Shorts thumbnails appear smaller than long-form, so text must be larger relative to frame.
- Avoid: Full sentences, text that duplicates the title, text that gives away the video's payoff
- Complementarity: Thumbnail and title together must create more curiosity than either alone. If the thumbnail is the SHOCK, the title is the CONTEXT. If the thumbnail is the CLAIM, the title is the PROOF hint.

**File Name**
- Format: `primary-keyword-entity-name-shorts.mp4`
- Same rules as long-form but with `-shorts` suffix

##### YouTube Shorts Quality Gates

| Component | Gate | Fail Action |
|-----------|------|-------------|
| Title | ≤50 chars, includes keyword | Shorten |
| Description | 100-300 chars, includes #Shorts | Adjust length/add tag |
| Tags | 5-8, include "Shorts" tag | Add |
| Thumbnail text | ≤5 words, legible at mobile size | Simplify |
| Thumbnail text | Complements title (two-part story, no redundancy) | Revise |
| File name | Includes -shorts suffix | Add |

---

#### TikTok

##### Component Anatomy

**Caption**
- Optimal length: ≤150 characters for maximum visibility (full caption visible without "more")
- Maximum: 2,200 characters (but most of this is hidden behind "more" tap)
- First ~50 characters: THE critical hook — this is all most viewers see in the feed
- Tone: Platform-native. TikTok rewards casual, authentic, in-group language. Corporate language underperforms.
- Avoid: Overly polished copy, formal language, obvious marketing language

**Hashtags**
- Count: Maximum 5 (platform-enforced hard cap since August 2025)
- Mix strategy: 2 broad/trending + 3 niche/content-specific. Every hashtag must accurately describe the video's actual content.
- Trend hashtags: Include IF genuine connection exists. Check current trending page.
- Placement: End of caption, integrated naturally or as a separate line
- Research: Check current hashtag usage counts — these change rapidly
- Note: TikTok's algorithm now extracts keywords from captions, audio, and visuals. Hashtags SUPPLEMENT keyword-rich captions — they don't replace them.

**Text Overlay Sequence**
- Frame 1: Upper third of screen, ≤4 words
- Position rules: AVOID bottom 20% (covered by caption/UI elements)
- Subsequent frames: Can use different positions but maintain readability
- Pacing: Fast — TikTok viewers expect rapid information delivery
- Font: Bold, high contrast, platform-native styles preferred over overly designed text

##### TikTok Quality Gates

| Component | Gate | Fail Action |
|-----------|------|-------------|
| Caption | ≤150 chars optimal, first 50 chars = hook | Shorten or restructure |
| Caption tone | Platform-native (casual, authentic) | Remove corporate language |
| Hashtags | Exactly 5, mix of niche/broad, all relevant | Adjust count or mix |
| Hashtags | Current usage counts verified | Research current counts |
| Overlay Frame 1 | Upper third, ≤4 words | Reposition/simplify |
| Overlay | Nothing in bottom 20% | Reposition |

---

#### Instagram Reels

##### Component Anatomy

**Caption**
- First ~125 characters: Visible without expanding. THIS IS THE HOOK.
- Maximum: 2,200 characters (expanded view)
- Structure: Hook line (visible) → Value body (expanded) → Hashtags → CTA
- Tone: More polished than TikTok, less formal than LinkedIn. Instagram rewards aspirational, visual, and community-driven language.

**Hashtags**
- Count: Maximum 5 (platform-enforced hard cap since December 2025)
- Strategy: All 5 must be highly targeted and niche-specific. No generic mega-hashtags. Each hashtag must accurately describe the content.
- Placement: In caption at the end (caption placement carries more algorithmic weight than first comment)
- Research: Check hashtag Explore page to verify your content matches the hashtag's existing content

**Cover Image Text**
- Word count: ≤5 words
- Legibility: Must be readable when cropped to square (Reels display as vertical 9:16 but profile grid shows square crop)
- Position: CENTER the text — avoid top 250px (covered by username) and bottom 250px (covered by UI)
- Function: This is the Reel's "thumbnail" — it shows on the profile grid and in Explore
- Design: Instagram audience expects higher visual quality than TikTok. Text should feel designed, not slapped on.

**Text Overlay Sequence**
- Position rules: AVOID top 250px (username/search bar area) and bottom 250px (caption/interaction buttons)
- Safe zone: Center ~60% of screen
- Pacing: Slightly slower than TikTok — Instagram Reels viewers tolerate more deliberate pacing
- Frames: Can match TikTok structure (INTERRUPT → VALUE BEATS → PAYOFF) but with slightly longer hold times

##### Instagram Reels Quality Gates

| Component | Gate | Fail Action |
|-----------|------|-------------|
| Caption | First ~125 chars = complete hook | Restructure opening |
| Caption tone | Platform-native (aspirational, community-driven) | Adjust register |
| Hashtags | Exactly 5, niche-specific, all relevant | Adjust count/specificity |
| Hashtags | Match existing content in those hashtags | Verify hashtag relevance |
| Cover text | ≤5 words, legible at square crop | Simplify/reposition |
| Cover text | Center-positioned (avoid top/bottom 250px) | Reposition |
| Overlay | Nothing in top/bottom 250px | Reposition |

---

#### LinkedIn (Video Post)

##### Component Anatomy

**Caption (Post Copy)**
- First ~140 characters: Visible before "see more" — THIS IS THE HOOK. The single most critical line. If this doesn't stop the scroll, nothing else matters.
- Maximum: 3,000 characters (expanded view)
- Structure: Hook line (visible) → Value architecture (expanded) → Guest/authority info → CTA → Hashtags
- Tone: Professional-aspirational. LinkedIn rewards thought leadership, expertise demonstration, and narrative-driven insights. More polished than TikTok, more personal than a press release.
- Algorithm note: LinkedIn's algorithm in 2026 prioritizes comments over likes (comments are 15x more valuable for distribution). Copy should invite response, not just agreement. The first 60-120 minutes are the critical distribution window.
- Paragraph structure: Short paragraphs (1-3 sentences). Single-sentence paragraphs for emphasis. White space is a tool — dense blocks kill engagement.
- Links: External links in post text reduce initial reach by ~30%. Place links in first comment, not in the caption.

**Caption Purpose Architecture:**
- Layer 1 (Hook — first ~140 chars): Pattern interrupt + relevance signal. This must work as a standalone statement that makes the viewer stop scrolling. NOT a summary of the video. It's the reason to keep reading.
- Layer 2 (Value body — expanded view): Deliver the argument for why this content matters. Build tension, establish stakes, create the case for watching. Use the viewer's language. Each paragraph should advance the argument — no filler.
- Layer 3 (Guest/authority — if applicable): Who this person is and WHY THEY MATTER for this specific topic. Credentials relevant to the content, not their entire bio. Social links here.
- Layer 4 (CTA): One clear action. "Watch the full conversation above" or equivalent. Don't stack multiple CTAs.
- Layer 5 (Hashtags): 3-5 hashtags at the bottom. Never in the hook area.

**Hashtags**
- Count: 3-5 (optimal for LinkedIn's algorithm — more than 5 gets deprioritized, more than 10 triggers spam detection)
- Strategy: Mix of 1-2 broad industry hashtags + 2-3 niche/topic-specific hashtags
- Placement: Bottom of caption — never in the first lines where the hook needs to breathe
- Format: PascalCase (#GenerationalWealth not #generationalwealth) for readability and accessibility
- Research: LinkedIn hashtags function more as filing labels than discovery engines in 2026. They help categorize, not viralize.

**File Name**
- Format: `primary-keyword-entity-name-linkedin.mp4`
- Same rules as YouTube but with `-linkedin` suffix

##### LinkedIn Quality Gates

| Component | Gate | Fail Action |
|-----------|------|-------------|
| Caption hook | First ~140 chars = complete, compelling hook | Restructure opening |
| Caption hook | No external links in post body | Move links to comment |
| Caption tone | Professional-aspirational (not corporate, not casual) | Adjust register |
| Caption body | Short paragraphs, white space, no dense blocks | Break up text |
| Caption body | Invites comment, not just agreement | Add genuine question or tension |
| Hashtags | 3-5, PascalCase, niche-specific | Adjust count/format |
| Hashtags | Placed at bottom, not in hook area | Reposition |

---

#### Cross-Platform Rules

When the user requests multiple platforms, process one at a time. Complete all 3 packages for Platform A before starting Platform B. These universal principles apply:

1. **Component purposes are fixed.** What a thumbnail/overlay/caption DOES never changes. How it does it changes every time based on the strategic synthesis.

2. **Components are a system.** Every component in a package must be internally consistent — same psychological angle, same voice, same strategic direction. And they must complement each other — no redundancy between scroll-stopper and click-trigger.

3. **3 packages means 3 angles, not 3 rewrites.** Each package approaches the same content from a genuinely different strategic direction. Package 1 might lead with the transformation promise. Package 2 might lead with the guest's authority. Package 3 might lead with a trend connection or contrarian angle.

4. **Platform-native, not adapted.** Each platform's copy is BUILT for that platform, not translated from another. TikTok captions are not shortened YouTube descriptions. Instagram Reels covers are not resized YouTube thumbnails. The language, tone, structure, and approach must be native to the platform's culture.

5. **No advisory content in output.** The output is deployable copy only. No post-publish checklists, monitoring suggestions, optimization advice, or "consider doing X" recommendations. If it can't be copy-pasted into a platform's upload interface, it doesn't belong in the output.

6. **Every word is a neurological decision.** Across ALL platforms and ALL components, the neuro-lexical engine's rules apply: serial position optimization, concrete before abstract, trigger word distribution, sentence rhythm, and cognitive load management. If any component contains an exhausted trigger word from the lexical intelligence, replace it before output.

7. **No contrast framing.** Never use "Not X — it's Y" or "isn't X, it's Y" structures. This is the most overused pattern in content copy. Say what the thing IS directly.

8. **Copy never quotes the transcript.** Copy is original persuasion text that sells the reason to watch. The guest's words are the REWARD for clicking — the copy is the REASON to click. No direct quotes, no "she said" constructions, no paraphrased transcript lines.

9. **Character limits are hard constraints.** Never exceed platform character limits. Always check final output against the limits specified in this file. Truncated titles and captions damage performance.

---

#### Platform Tone Guide

Each platform has a distinct communication culture. Copy must respect it:

| Platform | Tone | Register | Proof Style | Energy |
|----------|------|----------|-------------|--------|
| YouTube Long-Form | Authoritative but accessible | Professional-casual | Data, expert testimony, deep analysis | Medium-high (measured confidence) |
| YouTube Shorts | Punchy, direct | Casual-professional | Quick proof, single data point, visual evidence | High (immediate impact) |
| TikTok | Authentic, raw, in-group | Casual, meme-literate | Social proof, trend alignment, quick demonstration | High (fast, engaging) |
| Instagram Reels | Aspirational, designed, community | Polished-casual | Visual proof, aspirational examples, curated evidence | Medium-high (inspirational) |
| LinkedIn | Thought leadership, narrative-driven | Professional-aspirational | Expert authority, data, career/business outcomes, institutional proof | Medium (deliberate, credible) |

These are starting points. The Segment Synthesis always overrides platform defaults. If the target segment is formal C-suite executives watching TikTok for industry intel, the tone adjusts toward their register, not TikTok's casual default.



---

## Reference: strategic-synthesis

#### What This Phase Produces

A complete strategic plan that converts three intelligence packets (content, segment, market) into three differentiated angle packages, each with its own psychological entry point, voice derivation, lexical strategy, and component-level plan. This is where research becomes strategy.

#### Why It Exists

Intelligence without strategy produces competent but undifferentiated copy. You might have perfect audience data and excellent keywords, but if you don't SYNTHESIZE them into a specific psychological approach, you'll default to whatever pattern feels safe. This phase forces every strategic decision to emerge from the intersection of what you learned — not from habit.

---

#### Step 1: Psychological Angle Derivation

The psychological angle is NOT selected from a menu. It is DERIVED from the intersection of the Segment Synthesis and the Content Intelligence.

##### 1.1 The Three Derivation Questions

Answer these from your intelligence packets, with evidence:

**Q1: What is the viewer's dominant driver — approaching gain or avoiding loss?**

- From Fear Architecture: Is the dominant fear "acting wrong" (loss avoidance) or "not acting" (gain approach)?
- From Motivation Architecture: Are their KPIs about growth (gain) or protection (loss)?
- From Emotional Baseline: Is their current emotion oriented toward opportunity or threat?

If GAIN dominant → The angle leads with what they GET. Transformation, aspiration, opportunity.
If LOSS dominant → The angle leads with what they RISK. Cost of inaction, competitive gap, hidden danger.
If MIXED → The angle can use tension between both — "here's what you'll gain AND what you'll lose."

**Q2: How does this viewer need to be convinced — through evidence, identity, story, or authority?**

- From Trust Profile: What's their processing route? (Data-first / Peer-first / Story-first / Authority-first)
- From Information Processing: What triggers their skepticism? What type of proof do they respect?
- From Watch Motivation: Are they looking for practical value, validation, inspiration, or information?

Evidence-first → The angle leads with data, proof, results. Numbers in the title.
Identity-first → The angle leads with belonging. "For [specific group]" positioning.
Story-first → The angle leads with narrative. Character, journey, outcome.
Authority-first → The angle leads with the source. Guest name, credential, institution.

**Q3: What specific emotional MOVEMENT does this content need to create?**

- From Emotional Baseline: Where is the viewer NOW? (Exhausted? Skeptical? Curious? Anxious? Excited?)
- From Content Archetype: What does the content naturally DO to emotions? (Surprise? Inspire? Challenge? Reassure?)
- From Decision Trigger: What emotional state makes this viewer ACT? (Confidence? Urgency? Belonging? Hope?)

The emotional movement = [Entry state] → [Content's natural effect] → [Action state]

This movement determines the SHAPE of the hook, the ENERGY of the title, and the TONE of the entire package.

```
PSYCHOLOGICAL ANGLE DERIVATION:
- Dominant driver: [Gain / Loss / Mixed] — Evidence: [from synthesis]
- Conviction path: [Evidence / Identity / Story / Authority] — Evidence: [from synthesis]
- Emotional movement: [Entry] → [Effect] → [Action state]
- Derived angle: [One sentence describing the psychological approach]
```

---

#### Step 2: Differentiation Strategy Derivation

From the Market Intelligence, determine how to stand out:

##### 2.1 Competitive Positioning

Using the gap opportunities and saturated patterns from Market Intelligence:

- **What unique angle does our content have that no competitor owns?** (From Content Intelligence — the specific mechanism, data point, or guest authority)
- **What keyword territory is available that competitors haven't claimed?** (From keyword clusters — the underserved searches)
- **What audience need is unmet by existing content?** (From gap analysis — the questions no one answers, the perspectives no one takes)

##### 2.2 Differentiation Vector Selection

Choose the strongest differentiation:

- **Specificity**: Our content is more specific than competitors (named examples, exact numbers, step-by-step)
- **Authority**: Our source/guest has more credibility than competitors
- **Recency**: Our information is more current than what's available
- **Angle**: We approach the topic from a direction nobody else takes
- **Depth**: We go deeper than the surface-level content dominating results
- **Contrarian**: Our position challenges the consensus (only if the content genuinely does this)

```
DIFFERENTIATION STRATEGY:
- Unique content advantage: [What we have that competitors don't]
- Available keyword territory: [What searches we can own]
- Unmet audience need: [What gap we fill]
- Primary differentiation vector: [Specificity / Authority / Recency / Angle / Depth / Contrarian]
- How this manifests in copy: [How the differentiation shows up in title, thumbnail, description]
```

---

#### Step 3: Proof Approach Derivation

From the skepticism level and content's evidence, determine how to prove claims:

##### 3.1 Skepticism Calibration

Using the Trust Profile from Segment Synthesis:

- **High skepticism**: The copy must EARN trust before making promises. Lead with evidence. Cite specific sources. Include qualifiers. Use "here's what the data shows" not "this will change your life."
- **Medium skepticism**: The copy can make claims but must quickly substantiate. Lead with the promise, follow immediately with proof. "73% of AI pilots fail — here's why" works.
- **Low skepticism**: The copy can lead with bold claims and promise. The audience is receptive. Proof can come later in the description. "This framework saved 14 companies" works without immediate substantiation.

##### 3.2 Evidence Matching

The TYPE of proof must match how this audience evaluates:

- Data-first audience → Numbers, statistics, research citations in titles and descriptions
- Peer-first audience → "What [comparable peers] are doing" framing, case studies
- Authority-first audience → Guest credentials, institutional backing, expert endorsement
- Experience-first audience → "I tried this" framing, before/after, demonstrated results

```
PROOF APPROACH:
- Skepticism level: [High / Medium / Low]
- Proof type for this audience: [Data / Peer / Authority / Experience]
- Available proof from content: [What evidence the content actually contains]
- Title-level proof: [What proof element appears in or is implied by the title]
- Description-level proof: [What proof elements appear in the description]
- Hook-level proof: [What proof appears in the first 15 seconds to prevent bounce]
```

---

#### Step 4: Voice Derivation

The voice is not SELECTED from options. It is BUILT from the synthesis.

##### 4.1 Register Derivation

Using the Language Capture from Segment Synthesis:

- Read the 10+ exact phrases captured from real sources
- What is the average sentence length in those captured phrases?
- What is the formality level? (Measured by: pronoun usage, contraction frequency, passive vs active voice, jargon density)
- What is the energy level? (Measured by: verb force, sentence pace, exclamatory vs declarative patterns)

**Derive the register** — don't label it with a preset. Describe it specifically:

```
DERIVED REGISTER:
- Sentence length: [X words average, based on captured phrases]
- Formality: [Specific description derived from language patterns found]
- Energy: [Specific description derived from discourse patterns found]
- Rhythm: [Short/punchy, measured/deliberate, flowing/narrative — derived from observation]
```

##### 4.2 Vocabulary Derivation

- Your captured phrases ARE the vocabulary. The copy's key terms must come from what this audience actually says.
- For concepts central to the content, find what THIS audience calls that concept. Not what you'd call it.
- If the content introduces a concept the audience doesn't yet have language for, anchor it to a concept they DO have language for.

```
DERIVED VOCABULARY:
- Their term for [core concept 1]: "[exact phrase from research]"
- Their term for [core concept 2]: "[exact phrase from research]"
- Their term for [the problem]: "[exact phrase from research]"
- Their term for [the solution]: "[exact phrase from research]"
- Anchor concept for new ideas: "[familiar concept to bridge from]"
```

##### 4.3 Metaphor Derivation

- What comparison frameworks did you observe in their discourse?
- Select the metaphor family that naturally extends the content's core message
- Ensure metaphor consistency across all components in a package

```
DERIVED METAPHOR:
- Observed family: [From research — building? fighting? navigating? growing?]
- Applied to this content: [How this metaphor system describes the content's key ideas]
```

---

#### Step 5: Lexical Strategy Derivation

From the Neuro-Lexical Inventory in the Segment Synthesis, create the word-level optimization plan.

##### 5.1 Trigger Word Assignment

Each component gets specific trigger words. The assignment follows the component's PURPOSE:

- **Scroll-stopper** (thumbnail/cover/frame 1): Gets the strongest IN-GROUP RECOGNITION or DOPAMINE trigger word. This is the 0.3-second decision. The word must create instant neural recognition.
- **Click-trigger** (title/caption first line): Gets a CURIOSITY or PROMISE trigger word. This creates the gap that drives the click.
- **Commitment device** (hook/overlay sequence): Gets an URGENCY or BELONGING trigger word. This prevents bounce.
- **Value container** (description/caption body): Gets CONCRETE/SENSORY words throughout. These reward the reader with vivid, processable information.
- **Algorithm signals** (tags/hashtags): Gets KEYWORD-OPTIMIZED terms. These signal topic classification, not human psychology.

##### 5.2 Word Arrangement Rules

From the neuro-lexical inventory, derive specific arrangement rules for this segment:

- **First-position words**: What types of words does this segment process first? (Identity words? Numbers? Question words? Concrete nouns?)
- **Last-position words**: What types of words create the strongest retention for this segment? (Action verbs? Emotional words? Specificity markers?)
- **Middle-position tolerance**: How much functional language can the middle positions hold before this segment loses interest?

##### 5.3 Exhaustion Substitution Map

For every exhausted word identified in the inventory, create a replacement:

- [Exhausted word] → [Fresh alternative that serves the same psychological function]
- The replacement must come from the ACTIVE trigger words or captured language — not from generic synonyms

```
LEXICAL STRATEGY:

Trigger word assignments:
- Scroll-stopper: [Word] — activates [which circuit]
- Click-trigger: [Word] — activates [which circuit]
- Commitment device: [Word] — activates [which circuit]
- Value container: [2-3 concrete/sensory words for distribution throughout]
- Algorithm signals: [Keyword-optimized terms]

Arrangement rules for this segment:
- First position preference: [What word type opens strongest]
- Last position preference: [What word type closes strongest]
- Middle position: [How much functional language before attention drops]

Exhaustion substitutions:
- [Exhausted] → [Fresh replacement] — serves same function because [reason]
- [Continue for each]
```

---

#### Step 6: Three-Angle Construction

This is the critical step where three genuinely different strategic angles emerge. NOT three word variations of the same angle.

##### 6.1 Angle Derivation Process

Each angle must use a DIFFERENT entry point into the same content:

**Angle 1: The Primary Angle**
- Uses the strongest psychological driver from Step 1
- Uses the primary keyword from Market Intelligence
- Takes the most direct path to the viewer's decision trigger
- This is the "safest" angle — highest probability of resonance

**Angle 2: The Reframe Angle**
- Uses a DIFFERENT psychological entry point
- May use a secondary keyword or different keyword ordering
- Approaches the content from an unexpected direction
- Could emphasize a different entity (guest vs topic, method vs result)
- This angle tests whether a different frame outperforms the obvious one

**Angle 3: The Niche/Bold Angle**
- Uses the gap opportunity from competitive analysis
- May target a more specific sub-segment or use a trend intersection
- Takes the biggest creative risk — could outperform or underperform
- Could use a different content archetype emphasis (the content is analysis BUT could be positioned as revelation)
- This angle is the differentiation play

##### 6.2 Angle Divergence Test

After defining all three angles, verify genuine divergence:

- **Title test**: Would the three titles look like they're for three different videos? (They shouldn't be — they're for the same video — but they should feel like three different REASONS to click)
- **Thumbnail test**: Would the three thumbnail concepts use different visual/text approaches?
- **Audience test**: Could Angle 1 appeal more to one sub-segment while Angle 3 appeals more to another?
- **Swap test**: If you swapped a component from Angle 1 into Angle 2, would it feel wrong? (It should)
- **Structure test**: Do all three titles use the same grammatical pattern? (They must NOT. If all three are "[Topic] isn't [X] — it's [Y]" or all three are questions, the angles aren't structurally divergent.)
- **Contrast framing ban**: Does any angle use "Not X — it's Y" or "isn't X, it's Y" framing? (Remove it. Say what the thing IS, not what it isn't. This pattern makes all packages sound identical regardless of angle.)

```
THREE STRATEGIC ANGLES:

ANGLE 1: [Name]
- Psychological entry: [Gain/Loss] × [Evidence/Identity/Story/Authority]
- Emotional movement: [Entry] → [Effect] → [Action]
- Primary keyword: [From market intelligence]
- Differentiation: [What makes this angle stand out from competitors]
- Lexical lead: [Which trigger word opens this angle's title/thumbnail]
- Voice note: [Any voice adaptation specific to this angle]

ANGLE 2: [Name]
- Psychological entry: [Different from Angle 1]
- Emotional movement: [Different trajectory from Angle 1]
- Primary keyword: [May differ from Angle 1]
- Differentiation: [Different competitive positioning]
- Lexical lead: [Different trigger word]
- Voice note: [Any adaptation]

ANGLE 3: [Name]
- Psychological entry: [Different from both]
- Emotional movement: [Different trajectory]
- Primary keyword: [May differ]
- Differentiation: [Most divergent positioning]
- Lexical lead: [Different trigger word]
- Voice note: [Any adaptation]
```

---

#### Step 7: Framework Emergence

The persuasion framework for each angle is NOT selected from a catalog (AIDA, PAS, etc.). It EMERGES from the strategic decisions already made.

##### 7.1 Why Frameworks Emerge, Not Get Selected

When you know:
- The viewer's emotional entry point (from Emotional Baseline)
- What conviction path works (from Trust Profile)
- What emotional movement is needed (from Step 1)
- What proof they need (from Step 3)

...the framework is already determined. You don't need to "pick AIDA" — you need to ask:

**"What does this viewer need to see FIRST to accept what comes SECOND?"**

If they need to feel the PROBLEM before they'll accept the SOLUTION → that's problem-solution (but adapted to their specific fear)
If they need to see PROOF before they'll consider the PROMISE → that's evidence-first (but calibrated to their proof type)
If they need to feel BELONGING before they'll engage with the CONTENT → that's identity-first (but using their in-group signals)
If they need CURIOSITY before they'll invest ATTENTION → that's curiosity-gap (but using their specific knowledge gaps)

The framework is the logical sequence of what this viewer needs to experience, in what order, to move from their entry state to the action state. It's derived, not selected.

##### 7.2 Framework Documentation

For each angle, document the derived sequence:

```
ANGLE [X] FRAMEWORK:

Step 1 (Opening): Viewer needs to [feel/see/know] [what] → achieved by [which component doing what]
Step 2 (Escalation): Having [felt/seen/known] that, they now need [what] → achieved by [which component]
Step 3 (Bridge): Having [experienced steps 1-2], they're ready for [what] → achieved by [component]
Step 4 (Conversion): Having [completed the journey], they will [action] → achieved by [CTA/description]

Why this sequence for THIS viewer: [From synthesis evidence]
```

---

#### Strategic Synthesis Output

At this point you should have, for EACH of the three angles:

- A derived psychological approach (not selected from a menu)
- A differentiation strategy grounded in competitive gaps
- A proof approach calibrated to the viewer's skepticism
- A voice derived from captured language (register, vocabulary, metaphor)
- A lexical strategy with trigger word assignments, arrangement rules, and exhaustion substitutions
- A framework that emerges from what this viewer needs to see in what order

**This packet feeds Phase 5 (Construction).** Each angle becomes the control document for one complete package. The construction protocol builds every component from these strategic decisions.

##### Verification Before Proceeding

| Question | If you can't answer → Strategy needs more work |
|----------|------------------------------------------------|
| Could Angle 1 and Angle 2 be confused for each other? | Not differentiated enough — find a different entry point |
| Is the psychological angle derived from synthesis evidence? | You're defaulting to habit — trace back to the evidence |
| Does the voice sound like the captured phrases? | Register mismatch — re-derive from the language capture |
| Are trigger words from the live neuro-lexical inventory? | Using stored vocabulary — must be from current research |
| Does the framework sequence make logical sense for THIS viewer? | Sequence is generic — re-derive from their processing route |
| Could these strategies work for a different piece of content? | Too generic — the content intelligence isn't driving enough |
| Do any angles use "Not X — it's Y" contrast framing? | Remove all contrast framing — say what the thing IS directly |
| Do any angles quote or paraphrase the transcript? | Copy sells the reason to watch, never reproduces the content. Remove all transcript language. |
| Do all three titles share the same grammatical structure? | Structural monotony — each title must use a different sentence pattern |