Run an AI visibility audit: see which sources AI answers cite, where competitors earn authority and which of your pages to fix next.
The short version
What is an AI visibility audit?
An AI visibility audit checks how AI answer engines such as ChatGPT, Gemini, Claude, Perplexity and Google AI Overviews talk about your brand. It looks at whether you are mentioned, which sources the answers cite, how you compare with competitors and what the sentiment is.
The citation audit is the core of it. Mentions tell you whether you appear. Citations tell you why the answer looks the way it does and which pages you can influence.
A citation is a clue, not a quality guarantee
When an answer engine cites a page, it signals that the page contributed to the generated response or was presented as supporting evidence. It does not automatically mean the page is correct, preferred across every prompt or responsible for a brand recommendation.
An audit keeps the citation connected to the exact prompt, provider, timestamp and response. This context prevents a URL count from being mistaken for authority everywhere.
Classify the source landscape
The mix reveals how the category earns trust. A market dominated by primary research demands a different content strategy from one shaped by peer communities and comparison sites.
Review citation quality
Open the source and verify that it supports the surrounding answer. Check freshness, authorship, specificity, accessibility and whether the cited passage is primary or merely repeats another source.
Track broken URLs and changed content. An old citation can remain in historical evidence even after the destination changes, so reports should retain the original observation time.
Convert the audit into priorities
Do not copy a competitor page because it was cited once. Look for recurring evidence patterns across commercially important prompts, then strengthen the brand’s own sources with clearer claims, original evidence, transparent methodology and useful structure.





