Methodology

Five layers between a prompt and your pipeline.

The full framework we run for every placement: where your buyers ask, what the ad says, and how each claim survives all the way to the landing page.

Prefer the cinematic version?
Layers
Five, run in order
Applies to
Every placement we ship
Format
Plain text, no scroll theatrics
Layer 1 of 5

Prompt Opportunity Set

Where do buyers already talk about your category?

Every category has a finite set of prompts where buying decisions get shaped. Someone asks for the best tool, the honest comparison, the thing that finally fixes their problem. We map that set for your category and classify every prompt into one of three buckets: Present, where you already show up in the answer; Alternative, where a competitor shows up instead; and Absent, where nobody from your side is in the room.

The bucket decides the play. Present prompts need defending. Alternative prompts need contesting. Absent prompts are open ground, and they are usually the cheapest wins on the board.

What ships

  • A classified prompt inventory for your category
  • The Present / Alternative / Absent split, with volume
  • A priority list ranked by buying intent
Layer 2 of 5

AI-Native Ad Language

What does an ad sound like inside a conversation?

Search ads compress a pitch into ninety characters and a button. A conversation has different physics. The reader just got an answer, context is already loaded, and anything that reads like an interruption gets skipped without a second thought.

So the copy is written as a recommendation, not a banner. Specific, informative, and in the same register as the answer above it. When the format is a dialogue, the ad has to hold up its end of one.

What ships

  • A copy system per prompt cluster
  • CTA language written for dialogue, not results pages
  • Tone rules matched to the answer voice
Layer 3 of 5

Prompt-Aligned Ad Copy

What does the ad say that the answer didn’t?

We call this the informational delta. The answer above the ad has already covered its points, and an ad that repeats them is noise the buyer has to scroll past. So we draft against the live answer, strike everything it already said, and ship only what it left out.

What survives the strike is the good stuff: proof, specifics, numbers, and offers the model does not volunteer on its own. That is what earns the placement its space.

What ships

  • A delta analysis per prompt
  • Ad drafts with covered claims struck out
  • A claim bank of provable specifics
Layer 4 of 5

Brand GPT Handoff Design

What happens after the buyer says “tell me more”?

The click is not a redirect. When a buyer replies to the card, your brand’s GPT picks up the thread: same surface, same tone, zero page loads. There is no jump from a conversation to a cold landing page, because that jump is where most interest dies.

Onboarding, qualification, and booking all happen inside the conversation the buyer already chose to have. The funnel is the thread.

What ships

  • Handoff scripts and conversation flows
  • Inline onboarding design
  • Escalation rules to your human team
Layer 5 of 5

Landing Continuity Map

Does the landing page prove what the ad promised?

Every claim gets tracked across four checkpoints: the prompt, the AI answer, the ad, and the landing page. Green means the page proves the claim. Yellow means the page waters it down. Red means the page contradicts it.

Yellow and red get fixed before spend goes live, because a buyer who catches one broken promise discounts all the others. The whole system only works if the last click keeps the first promise.

What ships

  • A claim audit across the full funnel
  • A green / yellow / red consistency report
  • A fix list ordered by revenue risk

End to end

One claim, tracked across four checkpoints.

  1. 01

    The prompt

    where the buyer asks

  2. 02

    The AI answer

    what they already believe

  3. 03

    The ad

    what the answer left out

  4. 04

    The landing page

    proof the claim survives

Green means the page proves the claim. Yellow means it waters it down. Red means it contradicts it — and red gets fixed before any spend goes live.

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