AI visibility report - The Clinic

This is a sample report, with the client's identity removed. Every number, quote and finding below came from an actual run. We replaced the business name, its domain, its street address, its phone number and the names of the people who work there. We also removed detail that belongs to third parties the AI happened to name — other clinics' addresses and phone numbers, and the names of individual practitioners — and we rounded the client's review count. Everything else is exactly as it was generated, including which competitors the AI named and what it got wrong about them. That is pseudonymisation, not anonymity: someone who already knows this market could work out who it is. We publish it this way rather than not at all, because a sample nobody can inspect is not a sample.

theclinic.example - Med Spa, Concierge Primary Care, Skincare Products - Nashville

Generated 2026-09-02 10:13 UTC · We asked Gemini and Claude

The verdict

You bought this to settle one question: is AI visibility worth your money and attention right now? Here is our answer, before any of the evidence for it. The rule that produced it is published at /method, and it is mechanical - the same numbers always give the same verdict.

You are largely invisible, and the causes look cheap. We found 14 things worth fixing and the evidence says the assistants can already reach your material - they are choosing someone else with it. That is a better position than it feels like.

How confident we are: Low. You were named only 3 times in the whole test. Below about 20 mentions, a percentage moves too much on a single answer to be worth quoting - that is not our rule, it is the one published by Trakkr, and it is the only public rule of its kind in this field. So trust the direction of what follows and treat any individual percentage as soft. Also, 1 part of the method could not run for you this time - see Appendix A - so this verdict rests on less than a full run.

What this report does not answer

On page two, before you have read anything you paid for, because the fastest way to waste the next month is to think this report told you something it did not. Every item below is something other reports in this category will happily imply they cover.

• Whether you are rising or falling. This is a single run on a single day. There is no before. We will not print an arrow, and you should distrust anyone who prints one off less than a month of history.
• Whether anything you do next caused a change. Work can coincide with movement without having caused it. Proving cause needs a controlled before and after, and that is not what you bought.
• Whether being named will make you money. Nobody can attribute revenue to an AI mention with any rigour today. Section 3.1 splits your visibility by how close the asker is to buying, which is the closest honest proxy that exists, and it is still a proxy.
• How much traffic AI sends you. We cannot see your analytics. Section 7 shows you how to measure this yourself, for free, in about half an hour. It is the only certain data in this whole subject and we would rather you had it than took our word for anything.
• How many people are asking. Tools sell this number. It cannot be known - the assistants do not publish query data - and the estimates are modelled from search volume and then presented as demand. We refuse to print one.
• Where your competitors will be next month. The grid in section 3.3 is a freeze-frame of a moving picture.

What it does answer is on page one, and the 75 answers in Appendix B are there so you can check every step between the two.

Your profile, and what it changed

This decided which questions we asked and which checks we ran. If any row is wrong, the report is aimed at the wrong business - tell us and we will re-run it.

How to read this

Some of what follows we measured. Some of it is our opinion. You should always be able to tell which, so the headings say it:

• Sections 1 to 4, and the verdict are counts of what the AI actually said. Run the same test again and the numbers should come out the same. Every one of them traces back to an answer printed in full at the back.
• A heading that says "our read of it" is us giving a view - which fix to do first, and section 6. Disagree freely.
• A heading that says "background" is not about you at all: sections 7 and 8 are where to watch this yourself and what the going rate is to fix it. Both were true on the date at the top and will drift.

1. Summary

Core numbers

A tool that only searches the answer text for your name reports the first number. Reading each answer for whether it actually offered you to the customer is what produces every other number in this report. The two rows are separate on purpose: the second set of questions gave the assistant your name to begin with, so an answer that repeats it proves nothing, and a tool that counts those is marking its own homework.

In one line

The Clinic was named in 3 of 54 answers (5.6%), while 137 other businesses were named instead across the same questions.

The thing worth knowing first

The assistants that answer without searching do not know you exist. Asked about you by name, they did not say "I do not know" - they invented an answer: "The Clinic is a first-person exploration/adventure game." Only the assistant that reads the web before answering ever named you, and it did so in 3 of its 18 answers.

2. Who the AI thinks you are

2.1 Fact check: is what it says about you true

We asked 5 questions that named you and recorded 15 answers, then checked every checkable claim in them against your own website. One of the 5 questions was written for this section specifically — it asks the assistants to commit to concrete details about you, so that a wrong one shows up here instead of staying hidden behind a vague answer.

Claims that are wrong or out of date

Checked against your own website only. If your site is out of date, a claim marked wrong may be the site's fault, not the AI's - which is itself worth knowing.

2.2 What it knows without looking you up

Some of these assistants search the web before they answer; others answer from memory, the way a person would if you asked them in the street. The gap between the two rows below is the gap between being findable and being known.

2.3 The words it uses about you, and about the people it recommends instead

Being named and being named well are different things, and every number above measures only the first. A business recommended every time as the cheap option and one recommended every time as the best in the city score identically everywhere else in this report.

Every phrase here was copied out of an answer we recorded; you can find each one in Appendix B. We threw away 1 the extraction produced that were not in the recorded text.

How it describes you

How it describes the businesses it offers instead

3. What the AI says when a customer asks

3.1 Where you show up, and how close those people were to buying

Read down the last column before you read the percentages. A single blended visibility score is the most misleading number in this field, because it averages questions where someone is about to buy together with questions where nobody is buying anything.

What your visibility is actually worth

The complaint you will find from everyone who has tracked this for real is that mentions do not become visits. One site owner measured roughly 8,000 citations over fifty days and one to two visits a day. That gap is not a mystery: most of those citations were on questions where the reader was learning, not choosing. So rather than give you one number, here is where your visibility actually sits.

You were named 3 times in all, and 3 of those were in front of someone who was choosing who to use or about to book or buy.

We are giving you the count rather than a percentage because at this sample size a percentage would be theatre - one mention landing somewhere else would move it by tens of points. The same 20-mention rule from the verdict applies here.

Directionally it is the better of the two thin results: what little you have is at the end that can turn into a customer.

3.2 Question by question

Where you were named

Where you were not, and who was named instead

3.3 How often you come up, next to everyone else

Across the questions that did not mention you by name, 137 different businesses got put in front of the customer. You were one of them 3 times - 1.3% of all the naming that happened. A business is counted once per answer, however many times the answer repeats it.

3.4 Does the answer hold if you ask again

You picked three questions that matter most, and we asked each of them 3 separate times. Only those three are repeated, and only on Gemini (searching the web): an assistant that searches the web is the kind whose answer can move between runs, so repeating on one of them shows whether yours does.

3.5 Cited, but not recommended

3 answers read your website. 3 of them went on to offer you to the customer. Being a source and being an option are different things, and the gap between them is its own problem: the content was good enough to quote and not good enough to recommend.

Every answer that read your site also named you.

3.6 Who answers for you

These are the sites the assistant actually opened and read while answering your questions. This is where the answers about your market come from, and it is a better guide to where to spend effort than any directory nobody cites.

4. Technical and local checks

4.1 What we found on your website

Sorted by how much it affects whether an AI can use your pages, not by how easy it is to fix. We do not count checkpoints here: the list of what we checked is in Appendix B and you are welcome to verify it.

Nothing here needs firefighting. In the small-business sites we scan, that is not common.

Worth fixing

Worth doing, no harm if you skip it

Checked, nothing to do

4.2 Who you are, according to your own site

Google calls this E-E-A-T - experience, expertise, authoritativeness and trust. Two things it also says: E-E-A-T "isn't a specific ranking factor", and "of these aspects, trust is most important". So there is no Google score here to report, and anyone who shows you one made it up. What we check is narrower and you can verify every line: Google publishes a self-assessment framework built on who made this, how, and why, and we look at whether your site answers those questions in a form a machine can find. That is what an assistant is doing when someone asks it whether you are a real business.

Your site is about health, money or safety - what Google calls a "Your Money or Your Life" topic. Google holds those to a higher standard, so we do too: the top band here also requires a stated credential.

Where you land: some of the way there — An assistant can tell you exist, but not much more.

The trust basics are there. What is missing is the evidence that turns 'this is a real company' into 'this is the one I would name'.

Two of these are checked off your site - where you are listed, and what people have said about you somewhere you do not control.

Presence only. We record that a credential is claimed; we do not grade how impressive it is and we do not verify it against a registry. That is a different product, and pretending otherwise would be the kind of opinion-sold-as-measurement this report exists to avoid.

4.3 Local checks

NOT MEASURED. We ask the AI from a server, so it does not know where the person asking is standing. What we measured is whether you are named when somebody says "Nashville" out loud. A real customer asking on a phone may get answers weighted toward whatever is closest to them. No tool that is not running on that person's phone can measure this, including the paid ones.

A. Your Google Business Profile

B. Your review profile

Google returns at most 5 review texts per listing, so anything read from review wording is based on those 5, not on the full total.

Fix first - this is actively costing you

Worth fixing

Worth doing, no harm if you skip it

Checked, nothing to do

C. Where else you exist

One row per site, each one saying how we checked. Where it says we could not confirm, we were stopped at the door - it does not mean you are absent.

5. What to do about it

Ordered by effect against effort. Everything under the first heading can be done without a developer.

First: things that are actively costing you

1. An assistant answering from memory describes a different company under your name

2 of the answers we recorded about you by name were not about you. Not a wrong fact about your business - a different organisation that happens to share the name. An assistant that is not searching the web has only what it remembers, and what it remembers is the other one. Three things fix that, in order:

1. Put one disambiguating sentence in the description of your Organization structured data, and in the first line of your home page: what you do, where you are, and what you are not.
2. Create the entity records an assistant falls back on when it is not searching. We checked, and you have none of these: Wikidata, LinkedIn and Wikipedia.
3. Give each practitioner or principal their own entity on your site and sameAs it to their profile on the sites that already appear in this report.

Evidence: Gemini (from memory): critically acclaimed video game, What Remains of Edith The Clinic; Gemini (from memory): The Clinic is a virtual clinic dedicated to providing accessible, affordable, and high-quality ADHD care for children and adolescents.

One caution: Nothing on your own website fixes this on its own. The assistant that got it wrong never opened your website; that is what makes it a different problem from everything else in this list.

2. On "best place for chemical peels Nashville", every business AI named is a "Doctor" and your listing says "Spa"

The primary category is the heaviest single field in local search: it decides which shortlist you are framed into at all. 2 question(s) we asked went past you without naming you once, and the businesses that were named are almost all filed under "Doctor". You do carry "Doctor" as a secondary category, so this is not a missing category - it is a ranking one. Google leans hardest on the primary, and yours says you are a "Spa". Against businesses whose primary says otherwise, the secondary is not carrying you. Decide which line of business you most want the AI to name you for. If it is this one, changing the primary category is a five-minute edit in the Google Business Profile dashboard and the highest-return change in this report.

Evidence: questions: best place for chemical peels Nashville | where can I find medical grade skincare Nashville || named there: Nashville Skin: Comprehensive Dermatology Center, Vanderbilt Cosmetic Dermatology, Garza Plastic Surgery, Amaka Aesthetics - Dr. [name removed] || your categories: Spa (primary), skin_care_clinic, doctor, medical_clinic, health, point_of_interest

One caution: Changing a primary category affects what you already win. Keep the old one in the secondary list rather than deleting it, and watch for two to four weeks.

Second: worth doing this month

3. Your AI instruction files were written by your website platform, not by you

4 of your 4 AI instruction files were generated automatically by Shopify, not written by you. Most owners do not know they exist. They are the self-introduction other companies' AI agents read. Worse, they instruct AI shopping agents to go to shop.app rather than to you. For scale: 6 of the 9 leading brands in our benchmark that have this file are shipping the identical untouched template.

Evidence: /llms.txt (4287b, Shopify); /llms-full.txt (4292b, Shopify); /agents.md (4244b, Shopify); /AGENTS.md (4244b, Shopify)

4. Your machine-readable data still contains template placeholders

Some values were never replaced when the site was built. A machine reading them gets an address that does not exist, which undermines everything else in the same block.

Evidence: image: https://theclinic.example/path-to-hero-image.jpg; logo: https://theclinic.example/path-to-logo.svg

5. Your name, address and phone do not match everywhere

The street address on your Google listing ([address removed]) does not appear as text on the pages we read. If it is only inside an image or a map widget, machines cannot read it.

Evidence: Google: [phone removed] / [address removed], Nashville, TN, USA

6. Your reviews do not mention what you want to be found for

Across the review samples Google returned, not one mentions: Concierge Medicine, Injectables, Fillers, Microneedling, Laser Hair Removal, Serums, Cleansers, Concierge primary care services. Reviews are one of the main things a machine reads to decide what a business actually does. This is not a licence to buy reviews: next time a happy customer offers, ask them to name the specific thing you did for them.

Evidence: covered: Botox, SKINVIVE, Chemical Peels, Skincare | Google returns at most 5 review texts per listing, so anything read from review wording is based on those 5, not on the full total.

7. You are not on 4 of the sites the answers about your market were built from

Not directories in general — these are the sites an assistant opened and read while answering your questions, and not one of them has a page about you: nashvilleexplored.com (local list, 4 answers), styleblueprint.com (local list, 3 answers), nashvillepsi.com (kind unclear, 3 answers), partnermd.com (kind unclear, 2 answers). The two kinds need different work. A local list or editorial pick is somebody's article: find it, find who edits it, and ask what it takes to be considered. A listing site you submit yourself to, which is usually free and takes about ten minutes. Start with whichever fed the most answers. Separately, and not as work: 1 of the sites feeding these answers are general reference publishers (clevelandclinic.org). You cannot get listed on those and you should not try. What their presence tells you is that when a customer asks the explainer question in your field, the assistant reaches for a textbook — your own explainer pages are not in that layer.

Evidence: Taken from the 12 most-cited domains in section 3.6. Your own site was cited in 8 answers. Also checked, also absent: Yelp (yelp.com): No Yelp profile or page was found for 'The Clinic' in Nashville. Search results showed information for 'The The Clinic' restaurant and a Birdeye profile for 'The Clinic', but no Yelp presence.; LinkedIn (linkedin.com): No direct LinkedIn company page or profile for 'The Clinic' was found in the search results. Some results mentioned 'The Clinic' in other contexts or had LinkedIn sharing options for articles about 'Hi, Fin; Trustpilot (trustpilot.com): No direct Trustpilot profile for 'The Clinic' was found in the search results. Other review sites were found, but not Trustpilot.

Third: when you have time

8. Your prices are readable by people and not by machines

26 of the 26 pages we read carry a figure somewhere, so some of what you charge is visible to a person reading the page. An assistant cannot use it: there is no Offer, PriceSpecification or priceRange anywhere in your structured data, so nothing on the site states in machine-readable form that this number is the price of that thing. The answer to "what does this cost" then gets assembled out of whoever did publish a parseable number. Marking up what is already on the page is the whole job; nothing new has to be written or decided. The assistants answered the cost question regardless: 6 price claims in the recorded answers, none of them sourced from you.

Evidence: 26 of 26 pages carry a figure; Offer: no, PriceSpecification: no, priceRange: no

One caution: What to publish is a commercial decision and not only a technical one. The finding is that the decision is currently being made on your behalf, by whoever else published a number.

9. Links inside your AI instruction files do not work

Of 11 addresses declared in those files, 1 fail and 1 redirect somewhere else. Handing an AI agent a list of broken addresses is worse than handing it nothing.

Evidence: https://theclinic.example/api/ucp/mcp -> HTTP 404

10. Nothing on the site shows the work has actually been done

No testimonials, reviews, case studies, portfolio or gallery. This is the “experience” that Google added to the front of E-E-A-T — evidence of having done the thing, not just of offering it. Assistants quote this kind of page when explaining why they named someone.

Evidence: no proof-of-work pages found

11. 8 page(s) have no main heading

8 of 26 pages have no <h1>, the one heading that says what the page is about. Worth adding, but not urgent: 13 of the 34 leading brands we benchmark against also ship pages without one.

Evidence: /collections/all, /collections/oily, /collections/acne, /collections/aging, /collections/treat, /collections/merch

12. Your declared social accounts are not the ones you use

The site tells machines 'these accounts are also me', but the handles listed are not the handles linked in your own pages. The whole point of that list is to let a machine confirm one identity across platforms, so pointing it at the wrong accounts does nothing.

Evidence: instagram.com: declares The Clinic, but your pages link to The Clinic; facebook.com: declares The Clinic, but your pages link to theclinicspa

13. A hand-typed review score is baked into the page

The page declares a rating of 5.0 from 355 reviews, with no review content behind it. Numbers typed in by hand never update, so they drift out of date, and search engines generally do not trust a score a site awards itself. Usually best deleted, letting your Google Business Profile speak instead.

Evidence: {"ratingValue": "5.0", "ratingCount": "355"}

14. Your opening hours disagree with your own website

Google and your website publish different opening hours. Whichever is wrong, one of them is sending customers to a closed door, and an incomplete or contradictory listing gets used less.

Evidence: Monday: Google says 8:00 – 11:00 AM, 12:00 – 6:00 PM, the site says 09:00-18:00; Tuesday: Google says closed, the site says 09:00-18:00; Wednesday: Google says 8:00 – 11:00 AM, 12:00 – 6:00 PM, the site says 09:00-18:00; Thursday: Google says 8:00 – 11:00 AM, 12:00 – 6:00 PM, the site says 09:00-18:00; Friday: Google says 8:00 – 11:00 AM, 12:00 – 5:00 PM, the site says 09:00-15:00

6. Approaches that apply to a business like yours - our read of it, not a measurement

Everything in this section is our reading of the evidence, not a measurement. Treat it as an opinion you are free to disagree with.

General practice, not findings about you. Included because the actions above are specific and it helps to see where they sit.

Still works

• Keep the Google Business Profile complete and current - it is the single record most local answers are assembled from.
• Ask satisfied customers to name the specific service they bought in their review. Reviews are read as evidence of what you do.
• Get listed on the sites that already appear in answers about your market, rather than on directories in general.
• Publish prices, or a range. Answers to cost questions get built from whoever published a number.

No longer worth the effort

• Buying links.
• Publishing volume for its own sake.
• Keyword density.

7. How to get your own numbers, in about half an hour - background, not a finding about you

Nothing here is a finding about you. It is where to look and what things cost - both checkable by you, both correct as at the date on this report and not for long after it.

Everything we measured is a sample of what AI says. It is the part you cannot get without running the queries, which is why you paid for it. But there is a second kind of data that is certain rather than sampled - what the AI crawlers actually did on your site, and what traffic actually arrived - and you can have all of it for free, today, without us. Nobody sells you this page because it does not help them sell you anything. It is the most useful half hour available in this subject.

The regex for step 2. Copy it whole - GA4 will accept it as typed, and it costs nothing to be wrong about it:

chatgpt\.com|chat\.openai\.com|perplexity\.ai|claude\.ai|copilot\.microsoft\.com|gemini\.google\.com|bing\.com/chat|you\.com|poe\.com

Do these 4 and you will have something no report can give you: numbers about your own site that are counted rather than estimated. If they disagree with anything in this report, believe them, not us.

8. What you can do yourself, and what actually costs money - background, not a finding about you

Nothing here is a finding about you. It is where to look and what things cost - both checkable by you, both correct as at the date on this report and not for long after it.

The most common way to lose money in this field is not doing nothing - it is paying someone four figures for work that was a settings change. So here is the action list from section 5 split by who has to do it, and then what the market really charges, so that if you do decide to hire, you know when a quote is out of line.

You can do these yourself, today, for nothing

No developer, no agency, no tools. These are logins you already have.

• Nothing on the site shows the work has actually been done
• On "best place for chemical peels Nashville", every business AI named is a "Doctor" and your listing says "Spa"
• Your name, address and phone do not match everywhere
• Your opening hours disagree with your own website
• Your reviews do not mention what you want to be found for
• You are not on 4 of the sites the answers about your market were built from

Whoever updates your website can do these

Your CMS, a plugin, or a text file in the site root. If you pay someone hourly to maintain the site, this is an hour of their time, not a project.

• Your prices are readable by people and not by machines
• Your AI instruction files were written by your website platform, not by you
• Links inside your AI instruction files do not work
• 8 page(s) have no main heading

These need someone with access to the code or the server

Real technical work. Small, but not a settings page. This is the only group where a quote is reasonable.

• An assistant answering from memory describes a different company under your name
• Your machine-readable data still contains template placeholders
• Your declared social accounts are not the ones you use
• A hand-typed review score is baked into the page

What the market charges, as of 2026-09-02

Published prices we checked ourselves, so that a cold email quoting you $3,000 for an audit can be recognised for what it is. The range in this market is roughly fifty to one, for work that is often the same work.

Prices checked at the date on this report and they move. The point is the shape of the range, not any one figure. Note that the highest and lowest prices in this table buy a broadly similar deliverable - which is the single most useful thing on this page.

Our advice, which is against our own interest

Do the free things in section 7 and the owner-level fixes above first, then wait a month and look at your own analytics. If nothing moves and the technical group above is empty, this is not a GEO problem and no amount of GEO spending will fix it. Hiring a monthly retainer before you have done the free work is how the money in this field gets wasted.

Appendix A: what this report cannot tell you

Please read this before acting on anything above.

1. Results are logged-out. A signed-in user may see something different.
2. We measure whether AI names you, not how many people asked.
3. We do not attribute revenue to AI mentions. Nobody currently can.
4. Findings are true on the date stamped on them.
5. Only your three key questions were asked more than once. The rest were asked a single time.
6. No cross-day sampling — the whole run happens within one session.
7. Google AI Mode is not available in every market.
8. 23 questions is a sample, not a census. Treat the direction as real and the exact percentages as approximate.
9. ChatGPT, Google AI Overviews and Google AI Mode were not queried. Everything here describes Gemini and Claude, and answers on one assistant do not reliably transfer to another.

Parts of the method that did not run this time

Which local ranking factors this report measured

How to read the off-site table

Sites that refuse automated visitors are recorded as unconfirmed, never as absent. Where you see unconfirmed, we were stopped at the door, not told you were not there.

This report measures whether AI assistants name you when someone asks. It does not predict revenue and it does not promise rankings. Every recommendation is tied to evidence listed above.

METHOD v1.0 - BENCH-2026-08-34 - 2026-09-02 10:13 UTC - gemini-2.5-flash / claude-sonnet-4-5