AI Search Visibility

Rank tracking tells you where a page stands in a list. It says nothing about whether an AI answer to the same question names you. A team that reports only positions and clicks can miss part of how buyers hear about it, or fail to notice that an answer describes its product wrongly.

Visibility alone is not the goal. An answer that mentions you and sends nobody is worth less than a citation on a buying question. It is a state to act on, not a score to admire.

Visibility starts with being read. Google’s AI features link to pages that are indexed and eligible to be shown with a snippet in Search^[1]. OpenAI separates OAI-SearchBot, which surfaces sites in ChatGPT’s search results, from GPTBot, which crawls content that may be used for model training^[2], and Perplexity separates PerplexityBot, which surfaces and links sites in Perplexity’s search results, from Perplexity-User, which fetches a page when a person asks^[3]. Each can be allowed or blocked on its own.

Answers also travel. A comparison that names three tools is read by a buyer, quoted in a team chat and asked again with a follow-up. A brand absent from the first answer is often absent from the conversation that follows, which is why visibility is tracked on the questions that start a purchase.

Choose prompts that matter to the business, fix the AI surfaces, and snapshot the answers on a schedule. Report mention rate, citation rate and competitor share, split by topic and surface. Because answers vary between runs, compare periods, not single days.

State the denominator beside every share. QueryRev’s study of AI crawler access shows why: the same 896 sites are 14.2% of the sites whose robots.txt could be read, 9.0% of the whole panel and 66.9% of the sites with rules for AI crawlers^[4]. A visibility rate is the same: a share of which prompts, on which surfaces, over which period.

Keep the value honest. Visits from AI surfaces that analytics records are observed; visibility that produces no click can only be modeled.

Read a sample of the answers themselves every period. Counts say how often the brand appears; the words say whether it appears as the recommendation, as an alternative or as a warning, and whether the facts are right.

Sample data: an invented site, to show the method.

Sixty tracked prompts on one AI surface. The brand’s pages are cited in 47 answers, the brand is mentioned without a citation in 6, and it is absent from 7. Citation rate 78%; present in 88% of answers.

Split by topic, the gap is uneven: most of the seven answers that leave the brand out are comparison prompts, where review sites are cited instead. That is where the work starts.