After you have chosen · The Mention

AI Search Optimization: getting named when people ask an assistant instead of searching.

AI search optimization starts from one change: people have started asking questions instead of typing keywords. "Who is a good plumber near me." "Which shop does collision properly." They get one answer, assembled by a model, naming two or three businesses. The work is making sure nothing stops you being one of the names, and it is the same work whether the answer comes from ChatGPT, Claude, Gemini or Perplexity. It is offered after you have chosen a step, because an assistant reads the same profile, reviews and pages that The Pin and The Foundation fix first.

In most local markets, almost nobody has started · Nobody can promise a mention, and I do not.

The short answer

Ranking puts you on a page. This is about the answer itself.

AI search optimization is the work of making a business clear and credible to the assistants people now ask, so nothing stands in the way of them naming it when someone asks for a recommendation. Generative Engine Optimization - GEO - is the part of that aimed squarely at the language models. Traditional search hands back ten links and lets the person choose. An assistant hands back one answer with two or three names in it. There is no page two to be on.

assistant
who near me can fix a leaking roof properly?
Based on reviews and what is published about local plumbers, your firm is a strong fit - it names the exact work you describe, lists your town in its service area, and its recent reviews mention the same kind of job.
Illustrative · This is the shelf space. Nobody can promise you a place on it.
SignalTraditional ranking workAI search work
The targetA position on a results pageA name inside a generated answer
The leverRelevance and linksEntity certainty and trust signals
The page jobMatch the phrase being searchedBe the cleanest quotable answer available
Where it playsGoogle and BingChatGPT, Claude, Gemini, Perplexity
How you see itPosition and callsWhether you get named, logged on each re-ask

Both matter, and anyone telling you one replaces the other is selling. They share foundations - a fast, deep, consistent, well-reviewed business does better in both. That is why the steps come first and this comes after.

The problem

Most businesses never get named, and it is almost never about the work.

A model will not name a business it cannot describe with confidence. Six things usually cause that, and every one of them is fixable.

Nothing specific to read

A thin site with one vague services page gives a model nothing concrete to work from. It cannot say what you do, so it says someone else’s name.

Details that disagree

A phone number or business name that differs across directories reads as uncertainty. Uncertainty is the cheapest reason to leave you out.

A neglected Google profile

The profile is one of the richest sources the assistants read. Left half-built, it removes the best evidence you have.

Thin or stale reviews

Reputation is the fastest stand-in for trust a model has. Volume, recency and consistency across platforms all count.

No structured data

Without schema, a machine has to guess what you are, where you work and who you serve. Guessing loses to a competitor who spelled it out.

The doors are shut

Most sites have never told the assistants’ crawlers they are welcome, and plenty of them accidentally block the exact crawlers that would have read them.

The method

Five layers. Each one makes the next one believable.

Layer 01

The Entity

Before an assistant can name you it has to be certain who you are. One consistent name, number and service area everywhere you appear, and machine-readable markup that states what you do and who you do it for - so nothing has to be inferred.

Layer 02

The Evidence

Models weigh reputation heavily because it is the cheapest proof available. Review volume and recency, a properly fed Google Business Profile, consistent listings, and mentions elsewhere that agree with each other. Disagreement reads as risk, and risk gets you left out of the answer.

Layer 03

The Answers

Pages written the way people actually ask, with the answer in the first two lines instead of buried under an introduction. Question-shaped pages, real specifics, and FAQ markup that matches the visible text - so an assistant can lift a clean, quotable answer and attribute it to you.

Layer 04

The Access

None of it counts if the crawlers cannot get in. Explicit permission for the retrieval crawlers the assistants use, a plain-language site summary at llms.txt, real HTML rather than content that only appears after JavaScript runs, and pages fast enough to be fetched cleanly.

Layer 05

The Re-ask

The same questions asked again on a rhythm, with what changed written down. Nobody can promise the mention itself, and anyone who does is guessing. What the four layers above do is remove every reason to leave you out, and the re-ask log is how you see whether it is landing.

Check it yourself

I did all of it to my own site first. You can go and look.

I am not going to sell you something I have not done. Every layer above is already running on the page you are reading, and you can check it yourself in about a minute.

  • Access: open highermindai.com/robots.txt - the assistants’ retrieval crawlers are named and allowed, deliberately.
  • Orientation: open highermindai.com/llms.txt - a plain-language summary written for models rather than for people.
  • Entity: view the source of any page here and you will find a structured entity graph, cross-linked by identifier, stating exactly what this business is.
  • Answers: every question block on this site is answer-first and carries matching markup, so it can be lifted cleanly and attributed.
What sits inside The Mention

Offered after you have chosen a step.

The Mention is never the step itself. It sits on top of whichever step you choose, and the order is on how it works.

The first ask

I ask the assistants the questions your buyers ask and write down what comes back - who gets named, who does not, and what the models believe about you today. Recorded before anything is touched.

Entity and schema

A structured entity graph, service and location markup, and answer markup that matches the visible page rather than contradicting it.

Crawler access

Explicit permission for the assistants’ retrieval crawlers, an llms.txt summary, and a technical pass so pages can actually be fetched and read.

Answer-first pages

Pages and question blocks built around the exact questions people ask an assistant in your category, with the answer in the first two lines.

Evidence that agrees

Google Business Profile depth, steady reviews, and the same details everywhere, so the trust signals agree with each other. Most of this is already moving inside The Pin.

The re-ask log

The same questions asked again on a rhythm, with what changed written down, so you see whether you are being named rather than taking my word for it.

Questions

Answered plainly.

What is AI Search Optimization? +
It is the work of making a business clear and credible to the assistants people now ask instead of searching, so there is nothing stopping them from naming it when someone asks for a recommendation. Traditional SEO targets a position on a results page. AI search optimization targets being one of the names inside the answer itself, on ChatGPT, Claude, Gemini and Perplexity, and in the summary Google now puts above its own results.
What is Generative Engine Optimization (GEO)? +
GEO is the part of AI search optimization aimed at the language models behind those assistants - making sure a business is understood as a real, specific, trustworthy entity so the model has no reason to leave it out. SEO aims at a ranking. GEO aims at a mention in a generated answer.
Why would an assistant not name my business already? +
Usually because there is not enough evidence to name you safely. Thin or vague service pages, business details that disagree across directories, an underfed Google Business Profile, few recent reviews, and no structured data all add up to a business an assistant cannot describe with confidence - so it names a competitor it can.
Does this replace SEO? +
No, and anyone selling it as a replacement is overselling. The foundations overlap: a fast, deep, consistent, well-reviewed business does better in both. That is exactly why this is offered after you have chosen a step. The profile, the reviews and the pages that The Pin and The Foundation fix are the same evidence an assistant reads.
Can you guarantee my business gets mentioned? +
No, and nobody honestly can. The assistants decide what they say, and they change how they decide. What I can do is remove every reason to leave you out - an uncertain entity, disagreeing details, pages with nothing quotable on them, crawlers that cannot get in - and keep a log of what the assistants actually say about you so nobody is guessing.
How do I know it is working? +
I ask the assistants the same questions your buyers ask, before anything is touched and again on a rhythm afterwards, and log what comes back and whether you are in it. That re-ask log is yours. It sits next to the calls and forms The Foundation already counts, so you see it in the same place rather than in a separate story.

Hear what the assistants say about you now.

In the nine minutes I ask the assistants the questions your buyers ask, live, and read you the answer. You keep whatever it turns up.

or call 647-242-5800or write it down