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How to Track AI Search Visibility: A 30-Prompt Test
Learn how to track whether ChatGPT and other AI tools mention, recommend, and cite your local business with a repeatable 30-prompt test.
To track your local business in AI search, test a fixed set of buyer questions across several AI platforms and record four separate outcomes: whether your business is mentioned, recommended, cited, and described accurately. One encouraging ChatGPT answer is not a trend. A repeatable 30-prompt test gives you a baseline you can compare over time.
If that sounds more complicated than checking whether you rank third or fifth on Google, it is. AI answers do not politely sit in numbered blue chairs.
But the test itself is simple.
The short version
Build prompts around real customer situations—not thirty variations of your business name.
Run the same prompts in ChatGPT, Gemini, Perplexity, and Google’s AI experiences where available.
Record mentions, recommendations, citations, factual errors, and competing businesses.
Repeat your ten highest-value prompts three times before treating the result as meaningful.
Improve the underlying evidence AI systems can find: your website, Google Business Profile, reviews, local coverage, directories, videos, and expert mentions.
This article gives you the complete prompt set and measurement method.
What is AI-search visibility for a local business?
AI-search visibility is how often and how accurately a business appears when an AI system answers questions relevant to its services, location, and customers. It includes brand mentions, recommendations, citations, descriptions, and the resulting visits or leads.
Those are not interchangeable outcomes:
Signal | What it tells you | What it does not tell you |
|---|---|---|
Mention | The answer names your business | That the system prefers or recommends you |
Recommendation | Your business appears as a suitable choice | That the answer links to your website |
Citation | Your website or another source is linked | That your brand is named prominently |
Accuracy | The answer gets your services, location, and facts right | That a customer will contact you |
Referral | Someone visits from an AI platform | Which unclicked mentions influenced them |
Conversion | The visit produces a call, booking, or signup | That AI exposure alone caused the result |
This distinction matters. A July 2026 Semrush study covering more than 50,000 brands found that the most-cited domain and most-mentioned brand were the same in only 21% of the categories it analyzed. That is one vendor’s dataset, not a universal law, but it is a useful warning: citations and recommendations measure different things. Read the study and methodology.
Why one ChatGPT prompt tells you almost nothing
Suppose you own a plumbing company in Dallas and ask:
Who is the best plumber in Dallas?
Your company appears. Champagne! Confetti! A screenshot is already on its way to LinkedIn.
Then a homeowner asks, “Who can repair a burst pipe near Lake Highlands tonight?” and your business disappears.
The second prompt contains different intent, geography, urgency, and service constraints. It may trigger different searches and sources. Google says its AI features can use a “query fan-out” process that issues several related searches across subtopics and data sources. Google also says normal SEO fundamentals still apply and no special AI-only markup is required. Google’s official AI-search guidance.
Recent research also illustrates why serious audits use multiple prompts and repeated observations. An August 2026 study of local venue recommendations evaluated 4,776 venues against 2,208 responses from four AI systems, using 96 persona-conditioned queries over seven days. Its restaurant and café findings should not be generalized to every local industry, but its design makes the larger point: a single prompt is not an audit. Read the preprint and methodology.
Before you start: define the test properly
Replace these placeholders throughout the prompt set:
[brand]: your exact public business name[service]: your principal revenue-producing service[secondary service]: a narrower or adjacent service[city]: your primary market[neighborhood]: an important part of your service area[customer type]: homeowner, patient, client, property manager, and so on[constraint]: open now, weekend appointments, wheelchair access, financing, bilingual support, emergency service, or another real requirement
Use claims that are true. The point is to measure reality, not to whisper fictional features into the prompt and hope the machine remembers them.
For the cleanest baseline:
Use the same country and approximate location each time.
Use fresh conversations rather than continuing one long chat.
Enable web search when the platform provides that choice.
Record the platform, model or mode, date, location, and login state.
Do not correct or coach the answer during the test.
Save the complete answer and its sources, not just a flattering screenshot.
ChatGPT answers that use web search may include inline citations and a source panel, according to OpenAI’s search documentation. Record both the named businesses and the cited sources.
The 30-prompt local AI visibility test
Group 1: Unbranded discovery prompts
These test whether your business is discoverable before the customer knows your name.
Who are the best
[service]companies in[city]?Recommend three reliable
[service]providers near[neighborhood].Which local
[service]businesses in[city]have a strong reputation?What should I look for when choosing a
[service]provider in[city]?Give me a shortlist of local businesses that provide
[secondary service]in[city].
Group 2: Situation and urgency prompts
Customers often describe the problem before they name the service.
I need help with
[customer problem]in[city]. Who should I call?Which
[service]company near[neighborhood]can help with[urgent problem]?Find a local
[service]provider that offers[constraint].I am a
[customer type]dealing with[problem]. What local company would you recommend?Which businesses in
[city]specialize in[high-value service]?
Group 3: Comparison prompts
These reveal which competitors AI systems place in the buyer’s consideration set.
Compare the top
[service]companies in[city].What are the differences between
[brand]and other[service]providers in[city]?What are the best alternatives to
[known competitor]in[city]?Which
[service]company in[city]offers the best fit for[specific customer need]?Create a comparison table of three local
[service]providers based on services, reputation, and availability.
Group 4: Trust and qualification prompts
These test whether the answer can support a recommendation with credible evidence.
Which
[service]providers in[city]appear trustworthy, and why?Find a highly reviewed
[service]company near[neighborhood]that offers[constraint].Which local
[service]businesses have experience with[specialized problem]?Recommend a
[service]provider in[city]and show the sources behind the recommendation.Which
[service]companies in[city]have recent evidence of active work and satisfied customers?
Group 5: Branded validation prompts
These measure whether AI systems understand your entity—not whether they can repeat a name you supplied.
What does
[brand]do?Is
[brand]a legitimate business in[city]?What services does
[brand]provide?What do customers commonly say about
[brand]?Who is
[brand]best suited for, and when should someone choose another provider?
Group 6: Accuracy and source prompts
These expose weak facts, stale information, and sources shaping the answer.
What is the address, service area, phone number, and opening hours for
[brand]?What sources would you use to evaluate
[brand]?Which pages or reviews support your description of
[brand]?What information about
[brand]is unclear or inconsistent online?Based only on current public sources, would you recommend
[brand]for[specific need]? Explain the limitations of your answer.
How to record the results
Create one row for every prompt-platform combination. At minimum, capture:
Field | Example |
|---|---|
Date and platform | Aug. 12, 2026 — ChatGPT Search |
Prompt ID | 09 |
Brand mentioned? | Yes/No |
Recommendation position | First, shortlist, incidental, absent |
Owned website cited? | Yes/No |
Third-party source cited? | Google, Yelp, local news, association, Reddit, etc. |
Facts accurate? | Accurate, partly accurate, wrong, unverifiable |
Competitors named | Business A, Business B |
Answer saved | Link or archived text |
Follow-up action | Correct hours; publish service proof; seek independent coverage |
Do not compress everything into one mysterious “AI score” too early. Keep the component measurements visible:
Mention rate: responses naming your business ÷ total responses
Recommendation rate: responses actively recommending your business ÷ total responses
Owned citation rate: responses citing your website ÷ total responses
Accuracy rate: accurate factual claims ÷ factual claims checked
Competitive prompt share: prompts where your business appears ÷ prompts where any tracked competitor appears
These are operational definitions for your own trend tracking, not standardized industry metrics.
Repeat the prompts that can produce revenue
Run all 30 prompts once to establish the broad baseline. Then select the ten prompts closest to a real purchase and run each three times on every priority platform.
Why repeat them? Generated answers can change between runs. If your company appears once in three attempts, record one appearance—not a permanent victory. Keep the prompt wording and test conditions stable so your next comparison means something.
A practical cadence is:
Weekly: Repeat the ten highest-value discovery, situation, and comparison prompts.
Monthly: Rerun the full 30-prompt set and update factual accuracy.
After a major change: Retest after a new service page, important coverage, location change, rebrand, or substantial review growth.
Quarterly: Review whether the prompt set still reflects what customers actually ask.
How to diagnose what the results mean
Pattern | Likely interpretation | First action |
|---|---|---|
Never mentioned and never cited | Weak discoverability or topic association | Clarify services, geography, entity facts, and internal links |
Cited but not recommended | Your content helps answer the question, but the brand is not the selected provider | Add credible differentiation, proof, and explicit business context |
Mentioned without your site being cited | Third-party sources may be carrying the brand | Inspect those sources and make owned facts consistent |
Recommended with wrong facts | Entity information is inconsistent or stale | Correct the website, GBP, directories, and high-visibility profiles |
Competitor repeatedly wins one intent group | The competitor owns stronger evidence for that specific job | Study the cited pages, reviews, coverage, and offers—not just its homepage |
Strong branded prompts, weak discovery prompts | AI understands the brand when named but does not associate it with the category | Build topical and third-party evidence around the service and location |
What can improve local AI-search visibility?
Start with the boring fundamentals. Boring is underrated. Boring facts pay invoices.
1. Make your business unambiguous
Keep your name, services, locations, hours, phone number, policies, and credentials consistent across your website, Google Business Profile, major directories, review platforms, and social profiles.
2. Publish evidence competitors cannot copy
Useful evidence can include:
Original photographs of completed work
Service-area explanations grounded in real operations
Named experts and authors
Customer-approved case studies
Before-and-after examples with methodology and limitations
Pricing explanations where appropriate
Videos answering real customer questions
Clear policies, qualifications, and service constraints
3. Cover the buyer’s whole question, not one keyword
Semrush’s 2026 study tracked five representative prompts for each topic and found that visibility shifted substantially from prompt to prompt. Its conclusion was that topic-level consistency matters more than celebrating a single prompt win. See the full methodology.
4. Earn relevant third-party mentions
AI systems can cite and learn from sources beyond your website. Relevant local news, professional associations, partners, YouTube videos, review platforms, community discussions, and expert roundups can all strengthen the public evidence surrounding a business.
That is not permission to spray promotional comments across Reddit. Manufactured enthusiasm has a distinctive smell.
5. Keep the website technically eligible
For Google’s AI features, a page must be indexed and eligible to appear with a snippet. Google explicitly says there is no special AI schema or machine-readable “AI text file” required. Make the important information crawlable, internally linked, visible as text, and supported by structured data that matches the page. Google Search Central guidance.
What this test cannot prove
The test cannot tell you how many people saw an answer, whether every user received the same answer, or whether a recommendation directly caused a lead. It also cannot reproduce personalization, location, account history, model changes, or every possible prompt.
It can do something more modest and useful: show whether your business appears consistently across a controlled set of valuable questions, which competitors appear instead, which sources shape the answers, and which facts need repair.
That is enough to replace guesswork with a working backlog.
Frequently asked questions
Can I check whether ChatGPT mentions my business for free?
Yes. Create a fixed prompt set, run it manually with web search enabled where available, and record the answers in a spreadsheet. Manual testing will not provide platform-wide impression data, but it can establish a useful controlled baseline.
How often should a local business track AI visibility?
Repeat the highest-value prompts weekly and the full prompt set monthly. Measure trends across repeated runs rather than reacting to one answer.
Does ranking first on Google guarantee a ChatGPT recommendation?
No. Traditional SEO can help make a business and its evidence discoverable, but AI systems may use different searches, sources, models, context, and selection logic. A Google ranking and an AI recommendation are related signals, not equivalent outcomes.
What is a good AI mention rate?
There is no universal benchmark. Your rate depends on the prompt set, location, category, platform, and methodology. Establish your own baseline, compare like with like, and track whether qualified prompts improve without sacrificing accuracy.
Should I include my business name in every prompt?
No. Most prompts should be unbranded because prospective customers often begin with a problem or category. Use branded prompts separately to test whether AI systems understand your business accurately.
Is a citation more valuable than a mention?
They answer different questions. A citation can drive a visit or support an answer; a prominent recommendation can influence a buyer without linking to your site. Track both separately.
Does llms.txt make a business appear in AI answers?
No major search platform guarantees visibility from an llms.txt file. Google says no special AI file or schema is required for its AI search features. Prioritize crawlable pages, accurate facts, useful evidence, and relevant third-party authority.
What should I fix first if competitors appear and my business does not?
Inspect the sources supporting those competitor recommendations. Then correct inaccurate entity information and close the most commercially important evidence gap—such as a missing service page, weak local proof, stale profile information, or absent independent coverage.
Turn the findings into weekly growth work
The value of an AI visibility audit is not the spreadsheet. It is the next useful action.
LocalPanda’s AI local SEO workflow connects profile audits, neighborhood rankings, content, reviews, and weekly priorities so a local business can move from “we are missing” to “here is what we should improve next.”
For examples of how LocalPanda reports observed local-search results with their starting points and limitations, see the LocalPanda customer success stories.
Editorial source list
Production notes
Add a downloadable Google Sheet or CSV containing the 30 prompts and tracking columns.
Create an original worksheet screenshot for the hero and one anonymized example result table.
Link the existing AI-search visibility article back to this measurement guide using a descriptive anchor.
Keep the visible FAQ section if FAQ structured data is generated on the LocalPanda mirror.
Beehiiv should use the LocalPanda URL as canonical if the integration creates more than one public version.