Recommended on ChatGPT. And every AI after.
Most agencies do not even know AI search optimization exists. We run a twenty-eight-point optimization across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews — so when a buyer asks the category-defining question, your name is in the response.
Named-prompt coverage across five generative platforms, tracked monthly, reported against three named competitors. By month three, the brand appears in the top-five citation slot for the priority prompts.
Why this engagement exists.
Generative answers now resolve thirty to sixty percent of high-intent commercial queries before the buyer ever opens a vendor site. The traditional rank-1 page does not enter the response.
Standard SEO tools score against the SERP, not the answer. Position one on Google can still mean invisible inside ChatGPT.
Models cite what they have been trained on and what they currently retrieve. Most brands are absent from both halves of that equation — and have no instrument to know it.
How the work is structured.
Twenty-eight-point audit
Quarterly. We run a 120-prompt sweep across five generative platforms, score citation rate, and benchmark against three named competitors. Twenty-eight structural levers are evaluated for each prompt the brand is missing from.
llms.txt and answer-engine schema
We author the llms.txt, llms-full.txt, FAQPage, and answer-engine schema that tell generative models how to summarize you, when to cite you, and which page is the canonical source for each category question.
Entity surfaces
Wikidata, Wikipedia (only when notability earns it), Crunchbase, LinkedIn organization schema, and category-specific entity surfaces — extended and cross-linked so models can triangulate the brand identity across primary sources.
Monthly visibility tracking
A live dashboard shows where the brand appears and where it does not, across all five platforms, every month. The number does not lie and the number is what we report.
What is included.
Every engagement is fixed-scope. No surprises after signature, no scope creep into next quarter.
- Quarterly 120-prompt audit across five models
- Twenty-eight-point AI search optimization
- llms.txt and answer-engine schema
- Wikidata, Crunchbase, LinkedIn entity work
- Live AI visibility dashboard
- Monthly report against three named competitors
- Quarterly strategic call to recalibrate the prompt set
How long it takes.
Bundled with the monthly program. We do not sell AI search optimization as a separate line item — it is half the value of the program.
Request a Specific QuoteThe questions buyers actually ask.
01 How is this different from a regular SEO audit?
A traditional audit reads the SERP. This audit reads the answer. We score whether a generative model cites your URL or your competitor when a buyer asks a real category question. Different surface, different ranking signals, different unit of measurement.
02 Will you guarantee a Knowledge Graph panel?
No. Knowledge Graph is awarded by Google on signals we do not control. We can guarantee the underlying entity infrastructure that makes the brand eligible. Programs that guarantee Knowledge Graph are misrepresenting what is in their power.
03 How long until ChatGPT cites my brand?
Wikidata propagation to model retraining takes a full training cycle — two to six months. Live retrieval citations (Perplexity, GPT-with-search, AI Overviews) appear faster because they are crawled continuously. Expect the first measurable shift in month three.
04 Which platforms do you optimize for?
ChatGPT, Claude, Perplexity, Google Gemini, and Google AI Overviews via SERP harvest. We weight by category share — a B2B brand gets more Perplexity weight; a consumer brand gets more AI Overviews weight.
05 Can you do this without the rest of the program?
No. AI search optimization without a content engine producing the pages models can cite is a dashboard, not a program. The three pillars compound into one outcome.
What pairs with this engagement.
Begin the Recommended on ChatGPT. And every AI after. engagement.
A consultation call typically takes thirty minutes. We bring a sample prompt audit on the call and walk through the recommendation surface.
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