AI Search · 25 March 2026 · 7 min read
How to track brand visibility inside AI assistants
A practical, tool-agnostic method for measuring how often ChatGPT, Gemini, Perplexity, Claude and AI Overviews mention your brand — and what to do with the data.
Quick answer
Track AI visibility with a fixed prompt set of 30-100 buyer questions, run monthly across ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews, recording whether your brand is named, linked, described accurately and which competitors appear. Citation share and description accuracy are the two metrics that matter.
Build the prompt set
- 1Cover the funnelCategory questions, comparison questions, 'best X for Y' questions and brand-specific questions.
- 2Use real languageWrite prompts the way customers speak, not keyword strings.
- 3Lock the wordingNever change a prompt once tracking starts, or the trend becomes meaningless.
- 4Include competitor promptsSo you can measure share of voice, not just presence.
What to record
| Field | Why |
|---|---|
| Cited (yes/no) | Core citation share metric |
| Linked (yes/no) | Whether the mention can send traffic |
| Position in answer | Earlier mentions carry more influence |
| Description accuracy | Detects factual errors the model repeats |
| Competitors named | Reveals which sources the model trusts today |
Turning data into action
Response playbook
- Absent everywhere on a topic → publish the definitive answer-first page for it
- Competitor cited instead → analyse the passage the model quotes and beat its clarity
- Described inaccurately → fix your own facts, then get third-party sources corrected
- Cited but not linked → strengthen entity signals so the brand name resolves to your domain
- Referral traffic from AI tools → segment it in GA4 and watch conversion quality
Frequently asked questions
Get an AI visibility & SEO audit
Tell us your target keywords and markets. We reply within one business day with findings, priorities and a tailored proposal.
