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AI visibility audit for ChatGPT and AI search

I measure which prompts get your brand named by AI systems, who they recommend instead and which sources they rely on. You get a log of every tested prompt, a list of issues and a prioritized plan for the next 30–90 days.

5–7 business days 30–50 prompts 4 or 7 AI systems Walkthrough call included
Diagram: a fixed set of test prompts and the result for each onePrompt set: 30–50 prompts, five shown“Who can set up a CRM for a medical clinic?”brand named“Best business automation consultants in Chicago”named last“How much does CRM implementation cost?”not named“Who implements CRM for healthcare practices?”brand named“Reviews of CRM implementation partners”not named
I measure visibility on a fixed prompt set. The list and the method stay the same, so a later check can be compared with this one.

Two green out of five is a normal start. The problem is not knowing which two.

When does an audit make sense?

If any two of these sound familiar, measure where you stand before you pay for fixes.

AI names your competitors

You ask ChatGPT about your category and get a list of competitors and directories. Your brand is not on it.

The facts are wrong

A model quotes an old price, a closed location or a service you stopped offering years ago.

Priorities are unclear

There are a dozen ideas about what could be done, but no data on which of them will change the result.

You need a comparison

You want to see in numbers how your visibility differs from your competitors’. The extended audit benchmarks 5 of them.

AI traffic is invisible

Visits from AI systems are not separated in your analytics, so there is no way to judge the channel. The audit starts one step earlier and shows whether the answers name you at all.

You are about to start work

You need a baseline before the fixes begin, so that three months from now there is something to compare against.

What goes into
the audit?

Prompt set
  • Buying prompts: “who can…”, “best company for…”, “how much does it cost”
  • Informational questions from your field
  • Brand prompts: what a model says when asked about you directly
  • Comparison prompts: “X vs Y”, “top providers of…”
  • Built from your Google Search Console queries, sales questions and SERP analysis
  • You review and approve the final list before testing starts
Testing across AI systems
  • Standard: 4 systems chosen with you – from ChatGPT, Google AI Overviews and AI Mode, Gemini, Perplexity, Microsoft Copilot, Claude and DeepSeek
  • Extended: all 7
  • Each prompt runs several times, because answers change between runs
  • Brand mentions, domain citations and position in lists, recorded for every answer
  • The tone and context in which your brand comes up
  • Who the systems name instead of you, and how often
  • Screenshots and the full text of every answer
Competitor benchmark (extended audit)
  • Share of voice for 5 competitors in each system
  • Which sources the answers about them are built from
  • What makes those sources easy for a model to cite
Gap analysis: citations, content, entity
  • Citation gap: sites where competitors are cited and you are absent
  • Content gap: topics and questions your site does not answer
  • Entity gap: missing or conflicting facts about your company across the web
Quick technical check
  • Indexing and access to key sections, checked in Google Search Console and Bing Webmaster Tools
  • Whether the main content is in the HTML without running JavaScript
  • AI crawler access: robots.txt, response headers, firewall and CDN blocks
  • Markup, heading structure and blocks a model can extract as an answer
Fact accuracy
  • Prices, addresses, services and contacts in AI answers compared with your real data
  • The sources that feed outdated information to the models
Priorities
  • Every task scored by impact, effort and urgency
  • Split into tasks I can take on and tasks for your team
  • A roadmap for the next 30–90 days

How does the project run?

Brief and access

You tell me about your market, regions and competitors and share read access to analytics. 1 day.

Prompt list

I send the prompt list, you add to it and approve it. 1 day.

Testing

I run the prompts in the chosen systems and record every answer and source. 2–3 days.

Analysis

Gap analysis, technical check and task scoring. 1–2 days.

Report

You get the files and the roadmap, and they are yours to keep.

Walkthrough call

40–60 minutes on what to do first and what each step should change.

What do you get?

All files stay with you, and any contractor can work from them.

A fragment of the audit log: prompts, mentions, citations and sourcesPromptSystemMentionedCitedSources cited“who can … in [city]”ChatGPTcompetitor-a.com“best companies for …”Perplexitydirectory-b.com“how much does … cost”Geminiyour site“X vs Y – which to choose”ChatGPTReddit thread“… reviews”Copilotreviews-c.com
A fragment of the final log. Green means yes, coral means no: your brand is named in the answer (Mentioned) or your site is among its sources (Cited). Sample data with made-up domains.
XLSX

Prompt and answer log

Every prompt, each system’s answer, brand mentions, domain citations and sources.

XLSX

List of cited sources

The sites and competitors the models rely on in your market.

DOCX

Issue list

Technical, content and off-site obstacles, each with a note on what it affects.

DOCX

30–90 day roadmap

Tasks in priority order, with effort estimates and an owner for each.

PDF

Summary deck

A short version for the business owner or leadership team.

CALL

Walkthrough call

Findings and your questions, 40–60 minutes, recorded.

You can hand the log to any contractor. It describes your market, whoever ends up doing the fixes.

Timeline and format

  • Standard audit – 5 business days from when I get access
  • Extended audit – up to 7 business days
  • Questions along the way by email, Telegram or WhatsApp
  • The walkthrough call within a week of delivery, at a time that suits your time zone

What I need from you

  • Your services, markets and main competitors
  • Read access to Google Analytics 4 or the analytics tool you use
  • Google Search Console and Bing Webmaster Tools, if they are set up
  • Current prices, addresses and contacts to check the facts against

Not included

  • Fixing what the audit finds – that is technical GEO, page optimization or a monthly plan
  • Writing new content
  • Repeat measurements later – available as monitoring and included in the monthly plans

How is the result measured?

The audit sets the baseline. After the fixes, the same numbers are measured again on the same prompt set.

Prompt coverage

Share of prompts in the set where your brand appears in the answer.

Domain citations

How often your site is listed among the sources of an answer.

Fact accuracy

Share of answers that state your company’s facts correctly.

A Telegram store builder named first of 8 in ChatGPT

At the start, none of the 4 tracked AI systems named the service. After technical fixes, extractable facts and an llms.txt file, all 4 name it; it took 90 days to appear in answers. Russian-speaking market.

Read the case study

Questions about the audit

How is this different from an SEO audit?
An SEO audit looks for what keeps a site from ranking. This audit checks whether AI systems name you, where they take their facts from and why they cite someone else. The technical part overlaps; the conclusions and priorities are different.
Which AI systems do you check?
The standard audit covers 4 of these 7, chosen with you based on where your buyers look: ChatGPT, Google AI Overviews and AI Mode, Gemini, Perplexity, Microsoft Copilot, Claude and DeepSeek. The extended audit covers all 7.
Are the results reproducible?
Model answers change from run to run, so one answer proves little. Each prompt runs several times, and the report shows the share of runs that mention you. All raw answers are attached.
Can I order just the audit?
Yes. The files and the roadmap are written so that your in-house marketer or another contractor can work from them.
How many prompts do I need?
For a small business with one core service, 30 is usually enough. With several services, cities or audience segments, the extended audit with 50 is the better fit.
Do you guarantee AI will name me after the fixes?
No. Nobody controls what a model says. The audit shows which obstacles exist and which fixes should matter most. After implementation, a realistic horizon for visible change is around 90 days.

Order an AI visibility audit

Send your website and a line about your market. Within one business day I will reply with a draft prompt list and an exact timeline.

I reply within one business day. For a larger project, fill in the project brief.