LLM Visibility Tracking

LLM Visibility Tracking: Measure Your AI Share of Voice

You cannot improve what you cannot see. We track how AI assistants talk about your brand, which sources they cite and how you compare with competitors, so AI search becomes a channel you can manage rather than a mystery.

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The short answer

LLM visibility tracking is the regular, structured measurement of how often and how favourably AI assistants and AI search features mention, cite and recommend a brand for a defined set of buyer questions, compared with competitors over time.

Why tracking needs a method

AI answers change with wording, location, user history and time. A single screenshot of ChatGPT mentioning you proves very little. A useful tracking programme runs the same set of prompts on a schedule, across several platforms, and looks at trends rather than one-off results.

The stakes are growing. Ahrefs' analysis found Google's AI Overviews reduced clicks to top-ranking content by 58% between December 2023 and December 2025 across 300,000 keywords (Ahrefs Q1 2026 AI search report via Business Wire). If fewer people click, being named inside the answer becomes the visibility metric that matters.

What we track

Mention rateHow often your brand appears in answers to your priority prompts.

Citation rateHow often your own pages are linked as sources.

Recommendation positionWhether you are named first, in a list or as an alternative.

Sentiment and accuracyHow you are described, and whether facts are right.

Competitor share of voiceThe same metrics for up to five named competitors.

Source mapWhich third-party sites AI answers rely on in your category, so PR and content effort goes where it counts.

Platforms covered

ChatGPT, Google AI Overviews and AI Mode, Gemini, Perplexity, Claude and Microsoft Copilot. Platform usage is significant: ChatGPT reported 900 million weekly active users in February 2026 (TechCrunch, Feb 2026), Perplexity reported 780 million queries in May 2025 (Search Engine Land on Perplexity queries), and Microsoft said Copilot reached 150 million monthly active users across its products (TechCrunch, Jan 2026).

Linking visibility to revenue

We connect AI visibility to outcomes wherever the data allows: referral traffic from AI platforms in analytics, branded search trends, and a "how did you hear about us" question on forms that includes AI assistants as an option.

Worth knowing

Tell us your ten most valuable buyer questions. Those become the core of the tracking set, and we add long-tail prompts around them.

FAQ

What tools do you use to track AI visibility?

A combination of AI visibility platforms, structured manual testing and analytics, chosen to fit your platforms and budget. You get the underlying prompt data, not just a score.

How often do you report?

Monthly, with a quarterly review of the prompt set so it stays aligned with what buyers actually ask.

Can we track AI visibility ourselves?

Yes, and our guide to tracking brand visibility in AI search shows how to start.

Published Sep 29, 2026 · Last updated Sep 29, 2026

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