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 AI visibility 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, weighted by prompt intent and audience reach.
Message
Narrative Drivers
Top cited domains and specific prompts shaping the brand's story, revealing influential publishers for outreach and the exact queries driving conversation.
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.
Demand
Prompt Volume
Estimated monthly search demand behind tracked prompts, derived from real search behavior rather than synthetic queries.
Presence
Geo Distribution
Geographic breakdown of brand mentions across countries and regions where AI platforms reference the brand.
Sources
Citation Quality Score
How citation-ready your content is across 6 dimensions: fact density, structured data, entity clarity, named frameworks, freshness, and answer readiness.
Sources
Social Thread Coverage
Reddit, Hacker News, LinkedIn, and other social threads where your brand or competitors are discussed — the training signals AI models use.
Baseline
Entity Recognition Score
How consistently AI models correctly identify, describe, and contextualize your brand — measuring mention consistency, context accuracy, and disambiguation across engines.
Competition
Prompt Difficulty
Estimated difficulty of earning a brand mention for each prompt, factoring competitor density, citation authority, answer consistency, and intent competitiveness.
Sources
Citation Readiness
How ready your content is to be cited by AI models across 6 dimensions: fact density, structured data, entity clarity, named frameworks, freshness, and answer readiness.
Baseline
Citation Velocity
Week-over-week citation momentum — whether the brand is gaining or losing AI citation ground. Complements AISoV by measuring trajectory rather than market share at a point in time.
Sources
AEO Content Score
Answer Engine Optimization readiness across 7 factors: E-E-A-T signals, schema markup, direct answer quality, content freshness, structured formats, readability, and fact density.
Competition
Prompt-Space Occupancy
Percentage of monitored prompts where the brand appears. Use it as a directional coverage metric and compare it against repeated scans, competitor pressure, and source quality.
Baseline
Visibility Volatility
How much the brand's visibility fluctuates across scan cycles. Low volatility means AI models reliably include the brand; high volatility means inconsistent citation patterns.
Baseline
Multi-Platform Citation Impact
How widely the brand is cited across different AI platforms. Use it as a directional cross-platform authority signal and validate conversion lift against your own analytics.
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 guideFAQ
Common questions about AI visibility metrics.
What metrics does prompts-gpt.com track for AI visibility?
prompts-gpt.com tracks 18 AI visibility metrics per scan including brand presence score, mention rate, citation share, competitor pressure, sentiment score, answer position, source quality, prompt-space occupancy, visibility volatility, and entity recognition score.
How is AI visibility different from traditional SEO metrics?
Traditional SEO metrics measure search rankings and organic traffic. AI visibility metrics measure what is inside the AI-generated answer — whether the brand is mentioned, what sentiment is expressed, which sources are cited, and how competitors are described.
How often should I check AI visibility metrics?
Monitor your top 15–25 buyer-intent prompts daily and the expanded prompt set weekly. Monthly trend analysis helps track visibility score, mention rate, and citation share over time to prove whether content changes move AI answers.
What is Prompt-Space Occupancy Score (PSOS)?
PSOS measures the percentage of relevant prompts where your brand appears. In the current product model, roughly 25%+ is leader territory, 15%+ is competitive, 8%+ is average, and lower values mean coverage work is still needed.
Explore related resources
Learn more about AI visibility features, pricing, and optimization.