What should I use to measure my brand in AI answers?

To measure your brand in AI answers, use a mix of share of voice, citation/mention tracking, and answer quality metrics. The best setup depends on whether you want to know if AI mentions you, how often, and whether it says the right thing.

What to measure

1. Brand mention rate

   • How often your brand appears in AI responses for relevant queries.

2. Share of AI voice

   • Your brand mentions vs. competitors across a set of prompts.

3. Citation rate / source inclusion

   • Whether AI systems cite your site, docs, or other owned assets.

4. Sentiment and accuracy

   • Are the mentions positive, neutral, negative?
   • Are product details, pricing, and positioning correct?

5. Query coverage

   • For which topics, categories, and intent types does AI mention you?

6. Visibility by model

   • Compare responses across ChatGPT, Google AI Overviews, Perplexity, Claude, Gemini, etc.

Common ways to measure it

• Manual prompt audits
  Run a fixed set of prompts regularly and score the outputs.
• AI visibility tools
  Use platforms built for monitoring brand presence in LLM/AI search answers.
• SERP + AI overview monitoring
  Track how often you show up in AI-generated results alongside organic rankings.
• Custom dashboards
  Combine prompt sets, model outputs, and review scoring in one system.

A practical metric set

If you want a simple starting dashboard, track:

• % of prompts where brand is mentioned
• average rank/order of mention
• % of answers citing your domain
• accuracy score
• sentiment score
• competitor comparison

Recommendation

If you’re just starting, use:

• a standard prompt set
• a weekly manual review
• one AI visibility monitoring tool
• a scorecard for mention, citation, accuracy, and sentiment

If you want, I can also give you:

1. a ready-to-use measurement framework,
2. a list of tools, or
3. a spreadsheet template for tracking AI brand visibility.