Your customers are asking ChatGPT, Gemini and Google's AI who to buy from or hire. I measure the answers, show you the transcripts, and tell you what is holding you back. The free snapshot is 10 questions put to 3 engines, with a ranked fix list within 48 hours. I ran it on my own site first, and I publish the half that went badly. Pooled results from client audits and snapshots are in my AI answers field report, and you can run a shorter check yourself with the free What AI says about you template.
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What does ChatGPT say about your business?
More people now ask AI who to hire, or where to buy. It answers with a short list of names. If yours isn't on it, you never hear about the customer you lost. In 2026, 45% of US adults used AI to find a local business, up from 6%. AI reads your website, then weighs what other sites say about you. One listing can mean a wrong answer. Send me your website. I'll ask ChatGPT, Google's AI answers and Perplexity 10 questions your customers really ask. Within 48 hours, you'll get every answer, plus a list of fixes, most important first. I ran it on my own business first, and AI named me in about one answer in a hundred. Your snapshot shows the same gap for your business. It's free, and I do it myself. Fill in the form below. I'm Conner Crowe.
A patient used to type "hand surgeon near me" and pick from a list. Now they ask an assistant, and the assistant answers in a paragraph that names three practices. If yours is not one of the three, nothing in your reporting changes. Your rankings hold. Your traffic looks normal. The phone is quieter than it was, and there is no line item anywhere that explains it.
That is what makes this different from every other visibility problem I work on. A ranking drop shows up in a dashboard. This does not.
Click-through figures from Pew Research, 900 US adults across 68,879 real searches. Local recommendation figures from BrightLocal's 2026 survey of 1,002 US adults.
Every vendor in this category will show you a case study with a big multiple and no method. I would rather show you my own numbers, including the ones that did not go my way.
In June I audited my own site against an eight domain, hundred point AI readiness scale. It scored 71. After the fixes it scored 91.
The largest single cause was not content. My Cloudflare firewall was quietly returning 403 to OAI-SearchBot, Claude-SearchBot, PerplexityBot, ChatGPT-User and Perplexity-User. Five AI crawlers, blocked, with no error showing anywhere in my analytics. After the fix all five returned 200, re-verified across eleven user agents.
Then the part nobody publishes. I built a fixed panel of 25 buyer questions and I have re-run it every month since. Today I am visible on 2 of them, scoring 3 out of 50. At baseline I scored 4. Two months of work and no slots gained. I also re-ran my full audit 30 days after the fixes: here is what moved and what didn't.
Meanwhile on Microsoft's side, Bing's AI Performance report counted 2,189 Copilot citations of my pages between June 28 and September 25, with up to 37 percent of the citation share on the questions it cited me for most. The count is a sample and it swings hard: it ran above 70 a day in mid-August and was back near its early-summer level by late September. I wrote up how I misread one of those drops.
So one engine quoted me often and another did not move at all. Sitting underneath both numbers is the thing that decides the outcome, and I found it by counting: not one of my citations came from a question shaped like "who should I hire." I win the questions that ask what something costs or how something works. I do not win the question that asks who to pick.
Google now sells space in that answer, too. When I asked its AI Mode 100 local "who should I hire" questions in one day, 42 of the answers had a paid ad inside. I wrote up which kinds of businesses got them.
That gap is the whole problem, and it is the reason this is an audit rather than a content retainer.
Once I had the pattern on my own site I went looking for whether it held generally. It does, and the independent research is more useful than anything a vendor in this category has published.
A study of 112 companies found that models recognized a named business between 94 and 99 percent of the time when asked about it directly, and volunteered it unprompted in only 3.3 percent of ChatGPT answers and 8.3 percent of Perplexity's. The strongest predictor of being discovered was community presence, at a correlation of 0.395. That study's measure of on-page optimization showed no meaningful correlation at all.
Ahrefs looked at 75,000 brands and found branded mentions across the web correlated with AI visibility at roughly 0.664. Backlinks managed 0.218.
And when researchers benchmarked the optimization techniques this industry sells, published at NeurIPS in 2025, only 3 of 54 method and domain combinations produced a significant positive effect. Several made rankings worse.
Put plainly: being findable is a content problem, and being recommended is a corroboration problem. Most of what is sold as AI optimization works on the first one and is priced as though it fixes the second.
I have seen this from three directions now. My own site, and two ecommerce clients who rank in ordinary search and were named in roughly one unbranded AI answer in twenty.
Thirty questions your patients really ask
Written for your specialty and your market, and printed in the report word for word. Discovery, condition-led, comparison, and the practical ones about insurance and availability. They stay frozen so the re-measure means something.
Five engines, each one named
ChatGPT, Perplexity, Google AI Overviews, Microsoft Copilot and Gemini. If one of them cannot be reached on your market, that goes in the report instead of the engine quietly disappearing from the count.
Three runs of every question, on every engine
Run the same question twice in an afternoon and the sources cited overlap by about a third. One run is an anecdote. Three runs on every engine is a measurement. Answers on Google are collected from your metro. Where another engine answers for my location instead of yours, the report marks it.
A score with a confidence range on it
Every rate carries an interval. Ask any other vendor for the range on their headline number. Most cannot produce one, because most are reporting a single run.
Where the answers come from
Which sites each engine drew on to build its answer, and how much of that is your own website talking about you. This is usually the section that changes the conversation.
Your entity and listing record
Google, Yelp, Apple, Bing and your specialty directories, checked for conflicts. Two listings that disagree about your name or address can make you resolve as more than one business, and that is invisible to any content audit.
It closes with a ranked fix list, the top seven items first and the rest in an appendix, written so your developer can act on it without calling me. Then a sixty minute readout call. Then a re-measure at 90 days on the identical questions, and I send you the difference whichever direction it goes.
A guarantee that AI will recommend you
Nobody controls what an assistant recommends, and I would be careful with anyone who says otherwise. Run the same question twice in one afternoon and the sources cited overlap by about a third. What I can promise is that every finding in your report is reproducible by you, and that I re-measure in 90 days on the same questions.
An llms.txt file as a lever
Google has said in writing that Search ignores them. When Ahrefs checked 137,210 domains, 28 percent had published a valid file and 97 percent of those received no requests for it at all. Mine scores 96 out of 100 and I still treat it as housekeeping. I will build you one. I will not bill it as a lever.
Schema markup as an AI citation fix
The one controlled test I trust compared 1,885 pages that received new markup against 4,000 matched pages that did not. AI Overview citations went down 4.6 percent. Schema earns its place for rich results and it genuinely helps on Microsoft's side. It is not the thing standing between you and a recommendation.
The AI Answer Snapshot
I put 10 questions your buyers ask to 3 AI engines, one run each, and send the answers back with a ranked fix list.
Within 48 hours
A short request form: your name, email, website and where you sell. I run the questions myself and email you the results. No call, no cost.
Rather run a first pass yourself? The free AI Visibility Check shows whether AI crawlers can read your site and gives you ten buyer questions to ask.
The Answer Plan
I do the fixes and write three answer pages, so ChatGPT and Google’s AI answers name you correctly. The full audit comes first. Capped at 30 hours of my time, with every item listed in a written scope.
One time, fixed price
Ongoing, as monthly work
One recorded hour a month with you, turned into answer pages only you could have written, plus the listings and reviews AI tools read. The full audit comes first in the first month.
Month-to-month · no minimum term
Your time is about an hour a month, plus reading the drafts. Everything else is mine.
Step 1
I pick the questions
About 20 a month. They come from what people type into Google before they call someone like you, and from the questions where ChatGPT and Google’s AI name another business instead of you.
Step 2
You get them a week ahead
Each question has a one-line note on what to cover. Rough notes are plenty, and you can skip any question about work you don’t want.
Step 3
One recorded hour
Same slot every month. I ask, you answer the way you would answer a client, and I ask the follow-ups a reader would.
Step 4
Your answers become pages
Written in your voice, published on your site, with the local detail only you know. No client details, and nothing goes live until you have read it.
Why your answers, not mine
Anyone can publish a general page on your topic, and plenty of businesses already have. A page built from how you actually answer, with the courts, the conditions, the neighborhoods and the judgment calls you deal with every week, says things no competitor’s page can copy.
Why the listings and reviews matter as much
AI tools build their answers from more than your site. When your site, your Google profile, the directories in your field and other sites all say the same thing about you, the tools have more sources that agree. Every snapshot business I have audited had facts that disagreed between its own site and its listings, and fewer reviews than the competitors AI named instead. The monthly fixes both.
Before. I look at your site first, so the call starts on your business, not an intro.
The call. Thirty minutes on what’s working, what’s leaking and whether the audit fits.
After. If it isn’t the right fit, you leave with two or three fixes you can ship without me.
A straight read on whether this lands. If you fit the left column, book the call. If you fit the right column, I will say so rather than take the work.
Who this is for
Who this isn't for
5.0 average from 11 Google reviews.
“Wonderful. Explains it thoroughly so I understand. More importantly, seeing great results in such a short time period.”
“…He is incredibly responsive, works quickly and diligently, and holds himself to the highest standards.”
I rebuilt Greenacre Law's site in English and Spanish: 224 pages live, all 223 mapped legacy URLs still resolving when I re-checked them on 3 October, the homepage down from 763 KB to 34 KB, and 363 structured data blocks across the English pages. That's the retrievability layer this work depends on, built on a named firm and published with their permission.
Before that, on the same firm's Google Ads: half the ad spend, twice the monthly qualified signups, and cost per qualified lead down about half inside 90 days. I didn't isolate which change produced which part of that, and I say so in the write-up.
Request the free ads audit and I'll write it within 24 hours of read-only access, with no call. If you'd rather see the AI answers first, book a strategy call and I'll run three of your buyers' questions live.
Want the architecture behind the lead side of this? Read the Lead Quality Stack. It is the reference doc behind every practice engagement.
Or email hi@connercrowe.com.