AI-search visibility monitoring

AI-search visibility monitoring is an ongoing (monthly) service: for an agreed list of queries we regularly ask the main AI systems (ChatGPT, Perplexity, Google AI Overviews, Gemini, etc.) and record whether your brand is mentioned, in what context (recommended, compared, misstated), whether they link to your site, and which competitors appear alongside. We collect the dynamics into a report and send an alert on notable changes. Honestly about the nature of AI search, this matters: AI answers are non-deterministic — for the same query the model may answer differently across sessions, users, regions and versions. So our measurement is a sample and a trend estimate, not an exact exhaustive "you are seen at N%" figure; we honestly show that this is an approximation. Models and their output change frequently (updates, the platforms' own A/B tests), so comparability over time is limited, and a sharp change may be about you or about a model update — we flag that. Honestly about the essence: this is observation and alerting, NOT improving visibility and NOT a guarantee of appearing in AI answers — you cannot force a model to mention you; visibility grows from the quality and authority of content, mentions in sources and reputation, and that is separate work (content, PR, SEO), not monitoring. Coverage is only the agreed queries and platforms; anything outside the list we do not see. A list of target queries from you is needed; someone must react to a drop signal. An important boundary: this is ongoing observation of the dynamics, not a one-time AI-visibility audit (a deep snapshot with recommendations — a separate service) and not work on the visibility itself. If your niche and audience barely use AI search, or there are too few queries for a trend, continuous monitoring is probably premature — it is more useful to start with a one-time snapshot. Picture this: instead of "someone said ChatGPT recommends a competitor instead of us" you see from the dynamics that over a month you stopped being mentioned for two of five key queries while a competitor appeared — and you understand it is time to work on content and mentions. The base price starts from 12,000 ₽ per month; it depends on the number of queries and platforms.

• You do not know whether ChatGPT and other AIs mention you and what they say.
• You suspect AI recommends competitors instead of you.
• You cannot see how your visibility in AI answers changes over time.
• You fear AI spreads inaccuracies about you and do not track it.

• Regular queries to the main AIs (ChatGPT, Perplexity, Google AI Overviews, Gemini, etc.)
• Recording: whether you are mentioned, in what context, whether they link to the site
• Which competitors appear alongside for the same queries
• Visibility dynamics over time (as a trend, not an exact percentage)
• Flagging changes tied to model updates rather than to you
• Alerts on a notable drop or loss of mentions
• Monthly continuous operation and a report
• An alert channel of your choice (email, messenger, webhook)

• You see whether you are mentioned in AI and how it changes
• It is clearer when competitors push you out or inaccuracies appear
• You understand the trend (not a single random answer)
• A signal when it is time to work on content and mentions (separately)

• We agree on the list of target queries, platforms and the alert channel
• We set up the regular queries and the recording of mentions and context
• We track the dynamics, send alerts and review trends on a call

• Will you make AI recommend us?

  No, that is not included and cannot be guaranteed. You cannot force a model to mention you: visibility in AI grows from the quality and authority of content, mentions in sources and reputation — that is separate work (content, PR, SEO). Monitoring only observes the dynamics and notifies, it does not "promote" you in AI.

• How accurate are these numbers?

  It is a trend estimate, not an exact exhaustive metric. AI answers are non-deterministic — they vary across sessions, users, regions and model versions; we take a sample and honestly show that this is an approximation. We flag sharp changes because they may be tied to a model update rather than to you.

• How is this different from a one-time AI-visibility audit?

  A one-time audit is a deep snapshot today with recommendations. This monitoring is ongoing observation of the dynamics over time with alerts. They complement each other, but they are different services.