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.
Where this usually starts.
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.
The scope, start to finish.
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
Strategy, specs, and briefs.
I find what's holding you back, decide what matters most, and tell your team exactly what to do about it. Your team, or a developer you hire, ships it. One-time project or ongoing, both work.
I diagnose and prioritize
Every issue and opportunity, ranked by impact against effort, so the first thing your team works on is the thing that moves the number.
I spec the fixes and write the briefs
Technical fixes written for a developer to act on, and content briefs written for a writer to execute, with the keyword research behind them.
Your team ships it
I don't edit your CMS or write your code. If you need a developer, hire one; I'll tell them exactly what to build and review it after.
A plan your team can run.
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.
Results from real programs.
Anonymized by industry. Each links to the full story where one exists.
A few questions people actually ask.
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.