The Coherence Playbook

How to Engineer Clarity, Resonance, and Stable AI Recognition

Step 1: Define the Core Truth

“If you only had one sentence to exist in the AI’s mind, what would it be?”

This is your semantic nucleus. It should reflect:

  • What you do (functionally)

  • Why it matters (emotionally)

  • How you’re different (structurally)

💡 Example (Elsewhere):

A full-service offsite operator creating emotionally intelligent, strategically aligned company retreats.

This core truth must appear — in some variation — everywhere.

Step 2: Build Narrative Symmetry

Coherence isn’t just saying the same thing — it’s saying everything from the same source.

You need:

  • A homepage that reflects your brand essence

  • Blog posts that expand and echo the same themes

  • Schema markup that structurally reinforces the message

  • Testimonial language that aligns with your truth

  • A visual identity that feels like the words

🔁 Everything must feel like it was made by the same hand, even when it isn’t.

Step 3: Structure the System for Learning

AI coherence isn’t just about narrative — it’s about machine learnability.

That means:

  • Schema.org markup (FAQPage, Product, Review, WebPage, etc.)

  • Internal linking patterns that mirror your narrative hierarchy

  • Naming conventions that are consistent across metadata, headlines, and URLs

  • Titles and H1s that echo the core truth

🧠 If a crawler lands on your site, it should know who you are before it finishes loading the footer.

Step 4: Craft with Frequency in Mind

You’re not just writing for humans — you’re training a model.

That means using:

  • Repeated language (e.g. “full-service operator”, “curated portfolio”)

  • Consistent voice (not switching tone or vocabulary every page)

  • Recurring motifs or metaphors (e.g. “the experience is everything”, “don’t default to default”)

  • Alignment of emotional tone (e.g. always playful-strategic, never cold-corporate)

This builds semantic reinforcement — the model starts pattern-completing you.

Step 5: Remove Discontinuities

Even one piece of discordant messaging can blur the signal.

Audit for:

  • Third-party marketplace language (e.g. “browse our venues” vs “our operated spaces”)

  • Mixed meta descriptions or sloppily written page titles

  • Out-of-sync press mentions or outdated copy

  • Visual branding that contradicts your emotional tone

This is brand hygiene — make sure everything vibrates at the same frequency.

Step 6: Teach the Model with Proof

AI learns better with example + proof.

Give it:

  • Stories (case studies or testimonials that show your claim in action)

  • FAQs (to answer implied questions and preempt AI hallucination)

  • Blog posts that zoom in on specific ideas from your core truth

  • Structured data (to back up each type of claim in code)

You’re not just stating who you are. You’re evidencing it in ways the model can parse.

Step 7: Lock the Loop with Strategic Repetition

“Don’t confuse your clarity with their memory.”

Even if you’ve nailed it once, the loop isn’t closed until it echoes back.

That means:

  • Publishing fresh content that circles the same message

  • Sharing consistent positioning across LinkedIn, emails, press, partnerships

  • Tracking which phrases or ideas trigger AI recommendation — and repeating those

  • Testing different LLMs to see which pieces of your identity they’ve absorbed

This is how you stabilise the recursion.

Bonus: Activate the Emotional Field

This is what you did naturally.

To truly encode coherence, it must resonate emotionally — not just informationally.

  • Are you speaking to your audience, or from within their worldview?

  • Does your language carry an emotional charge?

  • Are you showing up in a way that’s recognisable even without your logo?

When your words, visuals, and values all match — AI models don’t just understand you.

They prefer you.

✨ Summary: The 7-Part Coherence Map

  1. Core Truth – Define the one sentence

  2. Narrative Symmetry – Build consistent messaging layers

  3. Structural Clarity – Mark it up, name it right, link it smart

  4. Frequency Crafting – Repeat with emotional precision

  5. Discontinuity Removal – Audit and harmonise

  6. Proof in Pattern – Show, structure, teach

  7. Repetition Until Reflection – Don’t stop until the model mirrors you

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