AI visibility monitoring

What AI visibility monitoring is

For twenty years brands tracked where they ranked in Google. In AI search there is no ranking to track: there is an answer, and your brand is either in it or it is not. AI visibility monitoring extends the job rank tracking did for traditional search into AI-generated answers. It asks the buying questions your customers actually ask, records each platform's answer, and measures three things:

• Presence: is the brand named at all, and how often across repeated runs (Share of Memory)?
• Recommendation: is it actually recommended, or mentioned in passing (Recommendation Rate)?
• Evidence: which sources is the answer built from, and are any of them yours?

Because answers vary run to run, single checks mislead. SearchIntel runs each question multiple times, typically five to ten, and reads the pattern rather than one response. The methodology page covers how the measurement is verified.

The six platforms it covers

ChatGPT, Claude, Gemini and Perplexity, plus Google's two AI search surfaces, AI Overviews and AI Mode. They are monitored separately because they disagree far more than most teams expect: in our June 2026 study of 100 neutral UK buying questions, only 5.3% of recommended brands were named by all six platforms for the same question, and 46.1% were named by only one. LLM brand monitoring on the conversational assistants and monitoring of Google's AI surfaces are one picture here, not two tools.

What makes SearchIntel's monitoring different

• It sees how the answer was made, not just what it says. Where platforms expose them, the monitoring captures the searches the AI systems write for themselves while researching a question. That shows which brands the machine brought into its research, what it looked at, and where your brand dropped out, which is the difference between knowing you are absent and knowing why.
• It measures the questions that matter commercially. Question sets are built with the client from real buyer language and their own search data, not generic keyword lists.
• It arrives interpreted. Reports come with analysis and a plan, matched to where the brand is actually losing. We are not a DIY dashboard; the product is the judgement on top of the data.

Common questions