Measure the answer evidence behind AI search visibility.
Use these metric guides to define brand presence, source quality, platform coverage, competitor pressure, prompt coverage, response evidence, and opportunities without reducing the work to one score.
How to use these metrics
Read visibility metrics as an action system.
A single score is useful for direction, but the prompt, source, platform, response, and opportunity metrics explain what to fix.
High score
Protect the prompts and sources already driving visibility. Refresh cited pages, expand proven topics, and keep third-party proof current.
Low score
Start with prompts where competitors appear but your brand does not. Build direct answer pages, comparison coverage, and better source proof.
Weak sources
Strengthen the pages AI systems already cite. Add clearer product facts, reviews, case studies, docs, and canonical source guidance.
Negative or neutral context
Give answer engines better evidence by adding customer proof, category positioning, implementation details, and current product claims.
Baseline
AI Visibility Score
A rollup score for whether the brand is mentioned, cited, recommended, and framed well across monitored prompts.
Presence
Brand Mention Rate
How often the brand appears in buyer-style answers across the tracked prompt set.
Presence
Answer Position
Average placement when the answer lists vendors, products, agencies, or recommended sources.
Competition
AI Share of Voice
The brand's share of answer mentions compared with named competitors in the same prompt cluster.
Competition
Competitor Pressure
Prompts where competitors appear ahead of the brand or own the recommendation completely.
Message
Sentiment Quality
Whether answer wording is positive, neutral, mixed, or negative when the brand is mentioned.
Sources
Owned Citation Share
How often answers cite owned pages instead of third-party, competitor, community, or directory sources.
Sources
Source Quality Score
A quality read on the sources shaping the answer, including owned pages, reviews, media coverage, listicles, Reddit, YouTube, and news.
Technical
Crawler Citation Match
How often cited pages have recent AI crawler activity, so crawler access can be connected to later answer evidence.
Action
Opportunity Backlog
Open fixes generated from missed mentions, weak citations, competitor wins, content gaps, and readiness issues.
AI Visibility Score
Understand the score that summarizes how often, how strongly, and how usefully a brand appears in AI answer engines.
Read metric guideMentions
Measure when AI answers name your brand, competitors, products, or domains across monitored prompts.
Read metric guidePlatform Coverage
Track whether brand visibility is limited to one answer engine or consistent across ChatGPT, Gemini, Perplexity, Claude, and similar surfaces.
Read metric guideSources
Audit the pages, publishers, reviews, directories, and community threads AI engines cite when they answer market questions.
Read metric guideTop Industry Sources
Find the recurring domains, publishers, and resource types that AI engines use when answering category and comparison prompts.
Read metric guideCompetitor Visibility Comparison
Compare how often competitors appear in AI answers, where they win recommendations, and which evidence supports their visibility.
Read metric guidePrompts
Build and monitor the prompt set that reflects how buyers ask AI engines for categories, comparisons, recommendations, and problems.
Read metric guideVolume
Understand how many prompts, scans, engines, competitors, and markets your AI visibility reporting actually covers.
Read metric guideLLM Responses
Review the actual AI-generated answers behind visibility metrics so teams can see wording, sentiment, citations, and competitor context.
Read metric guideOpportunities
Turn AI answer misses, weak citations, competitor wins, and outdated response claims into prioritized content and source actions.
Read metric guide