AI rank tracking

AI rank tracking monitors where your brand appears in AI-generated answers for a fixed set of prompts, run repeatedly over time. Instead of a single rank, it measures mention rate, position in the answer, citations and share of voice. Because answers vary run to run, results are samples, not fixed rankings.

How is AI rank tracking different from rank tracking?

Classic rank tracking records a URL’s position for a keyword. AI answers are generated, vary between runs and may cite several sources, so trackers sample answers instead. The GEO paper sampled five responses per query.^[1]

What metrics does AI rank tracking report?

• Mention rate: share of prompts naming you.
• Position: where in the answer you appear.
• Citations of your URLs.
• Share of voice vs competitors.
• Sentiment.

Semrush runs Prompt Tracking daily;^[2] Peec AI reports Visibility, Position and Sentiment.^[3]

Which first-party data exists?

Google Search Console’s Generative AI report^[4] and Bing’s AI Performance report^[5] give first-party data for their engines. Other engines provide referral traffic only.

Frequently asked questions

See also

• Rank tracking
• AI visibility score
• AI visibility tools
• AI Overview tracking
• Share of voice
• AI citation tracking
• Measuring visibility

References

Sources accessed October 14, 2026 unless another date is given. See all sources.

1. “GEO: Generative Engine Optimization”. arXiv (Aggarwal, Murahari, Rajpurohit, Kalyan, Narasimhan, Deshpande). v1 submitted November 16, 2023; published at KDD ’24.
2. “AI Visibility Toolkit”. Semrush Knowledge Base. accessed October 14, 2026.
3. “Peec AI: AI search analytics for marketing teams”. Peec AI. product page, accessed October 14, 2026.
4. “Generative AI performance report (Search)”. Search Console Help. rolled out to all sites as of August 31, 2026; accessed October 14, 2026.
5. “AI Performance”. Bing Webmaster Tools Help. accessed October 14, 2026.