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Brand Mention Tracking
Brand mention tracking is the practice of recording when and how AI engines mention your brand across models and prompts. This page explains the technique.
This capability was part of the paid AEO Platform product, which closed on 2026-10-02. It is not available. This page explains the technique for reference.
Brand Mention Tracking in detail
Tracking starts with a query bank: a fixed list of prompts tailored to your brand, category, and competitive set. A monitoring workflow sends those prompts to each AI engine on a schedule and stores the full response. Teams can also run the same prompts by hand in each engine, which works at small scale.
Natural-language processing, or a careful manual read, extracts every mention of the brand and its context. Each mention is classified by type: recommendation, comparison, factual description, or cautionary note.
Each mention is stored with metadata: the engine, the prompt, the timestamp, co-mentioned brands, and sentiment. A deduplication step stops minor wording changes between runs from counting as separate events. The data is then reviewed as a feed, as time-series charts, and as engine-level breakdowns.
Why Brand Mention Tracking matters
Detect brand mentions soon after a model update or retrieval change
Identify inaccurate or outdated brand descriptions before they reach many users
Track mention frequency trends across engines to measure optimisation impact
Surface competitor co-mentions to understand your positioning in AI-generated lists
Keep a dated record that can feed reports or other analysis tools
When to use Brand Mention Tracking
Brand Mention Tracking FAQ
Key concepts
Explore more features
Share of Model Scoring
detectionShare of Model is the percentage of AI answers in a category that mention your brand. This page explains how to calculate and read it.
Competitor Monitoring
detectionCompetitor monitoring in AI search means recording which rival brands AI engines recommend, and where they appear instead of you. This page explains the technique.
Smart Alerts
detectionAI visibility alerts notify a team when mentions, sentiment, or citations change. This page explains how baselines and thresholds make such alerts useful.
Sentiment Analysis
diagnosisSentiment analysis for AI answers classifies the tone engines use about your brand. This page explains the technique and how to read the results.
Can AI crawlers read and cite your site?
Run the free check to see technical signals: AI crawler access, sitemap, llms.txt, schema markup, and FAQ and comparison pages. It does not read live AI answers. No account needed.