An AI visibility audit measures how AI answer engines — ChatGPT, Perplexity, Gemini and Google AI Overviews — describe your brand when buyers ask questions you should be the answer to. It scores your presence, benchmarks it against competitors, checks the accuracy of what the engines say, and ends with a prioritized 30-day action plan. In short: it turns "I wonder if ChatGPT mentions us" into a measured channel with a to-do list.
The reason it matters now: the benchmark methodology behind my audits makes AI visibility measurable while most brands — and most of their competitors — are not yet looking. The first mover in a category usually takes the default position.
Key takeaways
An AI visibility audit measures presence, competitive share, description accuracy, and sources — across ChatGPT, Perplexity, Gemini and Google AI Overviews.
The output is a baseline plus a prioritized 30-day action plan, not an essay.
Most brands are nearly invisible in AI answers today, so early audits capture cheap advantage.
A good audit uses your real buyer questions, not generic prompts.
What's inside the report
Brand presence score
How often you appear in answers to the questions your buyers ask, across ChatGPT, Perplexity, Gemini and Google AI Overviews.
Competitive benchmark
The same numbers for your three to five closest competitors — your share of voice against theirs.
Description accuracy
What the engines get right, and wrong, about you: positioning, products, differentiators, facts.
Citation and source analysis
Which sources the engines cite for your category, and where you are absent.
Gap and opportunity map
The specific questions, entities and sources where visibility is winnable fastest.
30-day action plan
Prioritized moves: pages to rewrite, evidence to publish, third-party mentions to pursue.
What the audit is not
Not a one-time trophy: the first audit is the baseline; the value is the second and third, which show the trend.
Not a software report: the questions must come from your actual buyers, which is why the audit starts with a conversation, not a crawl.
Not a guarantee of placement: engines are probabilistic; the audit guarantees you stop guessing and start compounding.
What happens after
The 30-day plan sequences the work by leverage: fixes to entity clarity and on-page evidence first (fast, cheap, yours to control), third-party mentions second (slower, compounding). Month two re-measures the same prompt set — the movement in the numbers tells you what worked. Over a quarter, the audit becomes an operating loop: measure, fix, publish, re-measure.
To see the method behind the numbers, read How to Measure AI Visibility. To run the audit on your own brand, start with the AI Visibility Audit discovery call.