An AI visibility audit that shows what AI actually says.
See what ChatGPT, Gemini, Perplexity, and Google AI Overviews say about your category, where your brand is named, cited, or missing, and what to change first.
Signs you need an AI visibility audit.
A visibility score with no explanation
A tool says you are at 23. Nobody can tell you which prompts, which competitors, or what to do about it.
Leadership keeps asking about ChatGPT
The board wants to know whether AI recommends you. You need a straight answer, dated and repeatable.
You do not know where to start
GEO advice is everywhere and contradicts itself. You need a diagnosis specific to your brand.
What an AI visibility audit should answer
Three questions: does AI recommend you, why or why not, and what would change it. An AI visibility audit answers all three by reading the actual answers, prompt by prompt and model by model.
Being named in the answer is what counts
When an AI answer names your brand, it is recommending you to the buyer. Most AI visibility tools count a source link the same way, so a brand can have a healthy score and still never be suggested. This audit records named, cited, and absent separately for every prompt, because being named is what sends pipeline.
Where it leads
The audit ends in a fix list, and the fixes usually fall into three groups: pages AI already reads that need to be easier to quote, third-party sources where you are missing, and technical blocks that stop AI crawlers from reading you at all. If you want help working through the list, that is what GEO consulting is for. If you want the AI read alongside a full technical, content, and keyword audit, it is built into the SEO & GEO audit.
What the audit reads.
Prompt set
- A dated set of category, best-of, versus, alternatives, and problem-first prompts
- Built from how your buyers actually search and ask
Answer read
- Named, cited, or absent for each prompt across ChatGPT, Gemini, Perplexity, and AI Overviews
- How accurately each model describes your product and positioning
Competitor share
- Which competitors get named for the same prompts, and how often
Source analysis
- The third-party sources each model leans on for your category
- Which of those mention you, which do not, and which are realistic to earn
Technical read
- AI crawler access in robots.txt and rendering blind spots that hide content
How the AI visibility audit runs.
I run a dated prompt set across the AI platforms your buyers use, read every answer by hand, and turn what I find into a fix list your team can act on.
I build the prompt set
Bottom-of-funnel questions your buyers actually ask, mapped to the keywords and products you care about, and dated so it can be rerun later.
I read the answers and the sources
Who gets named, who only gets cited, and which third-party pages the models pull from, for you and for your competitors.
Your team works the fix list
On-site fixes go to your writers and developers as specs, and off-site work goes to whoever owns PR and partnerships. Rerun the same set later to measure the change.
A baseline you can measure against.
The baseline
Every prompt, every model, every answer, dated, so the audit can be re-run and compared later.
A prioritized fix list
On-site retrofits, off-site targets, and technical fixes, ranked by how likely each is to change the answer.
A readout for leadership
A short summary that answers the question the board is asking, with the caveats stated.
What AI visibility audits have found.
Anonymized by industry. Each links to the full story where one exists.
AI visibility audit questions.
What is an AI visibility audit?
An AI visibility audit measures how AI products describe and recommend your brand: which prompts name you, which only cite you, which leave you out, and which competitors win instead. It also identifies the sources AI relies on for your category.
How do you measure AI visibility?
With a fixed, dated prompt set run across ChatGPT, Gemini, Perplexity, and Google AI Overviews, recording named, cited, or absent for each. Keeping the prompts constant is what makes the next measurement comparable.
What is a good AI visibility score?
There is no universal good score, because tools weight prompts and models differently. What matters is your share of mentions against competitors on the prompts your buyers use, and whether it is rising.
How is this different from a free AI visibility checker?
Free checkers automate a handful of generic prompts and return a number. This audit uses a prompt set built for your category, reads every answer, traces the sources, and ends in a prioritized fix list.
What does it cost?
I quote it after a short fit call, based on the size of the category and prompt set. The AI visibility read is also included in the $5,000 SEO & GEO audit if you want the full picture.
Is this the same as a GEO audit or an LLM visibility audit?
Yes. GEO audit, LLM visibility audit, and AI visibility audit describe the same measurement; I use one method for all three.