Visibility and presence
Metrics that show whether a brand appears, how often it appears, and how competitors show up.
Metrics
Measurement concepts for inspecting AI search performance without reducing strategy to one score.
Collection definition
Metrics are useful only when they inform a decision. Visibility, citation, and share-of-voice metrics show what happened; interpretation quality, source influence, content gap severity, and content action priority help teams decide what to inspect or change next.
Core metrics
Start with these when building an AEO/GEO reporting model that goes beyond visibility alone.
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AI Visibility Score
AI visibility score is a directional measure of how often a brand appears in AI answers across a defined prompt set.
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Source Influence Score
Source influence score estimates how strongly specific sources or source types appear to shape AI answer interpretation.
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Interpretation Quality
Interpretation quality measures whether an AI answer understands the brand in a way that is accurate, specific, current, and useful to buyers.
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Content Action Priority
Content action priority ranks which content updates, new pages, cleanups, or source fixes should happen first.
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Brand Framing Score
Brand framing score measures how well AI answers explain what the brand is, who it is for, and why it matters.
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Help Center Risk Score
Help center risk score measures whether public support content may distort buyer-facing AI answers.
Browse by theme
Use these groupings to move from visibility signals into interpretation, source influence, buyer framing, and content decisions.
Citation and source metrics
Metrics for visible source evidence and the source mix behind AI answers.
Answer quality and interpretation
Metrics that inspect whether the answer is accurate, complete, specific, and useful for buyers.
Prompt and buyer coverage
Metrics for prompt-set quality, decision-stage coverage, volatility, and buyer-question representation.
Prioritization and risk
Metrics that help teams decide which content action or source issue deserves attention first.
Visibility and presence
Metrics that show whether a brand appears, how often it appears, and how competitors show up.
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AI Visibility Score
AI visibility score is a directional measure of how often a brand appears in AI answers across a defined prompt set.
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AI Share of Voice
AI share of voice compares how often your brand appears against competitors in AI answers for a defined prompt set.
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Competitor Mention Rate
Competitor mention rate measures how often competitors appear in AI answers for the prompts you track.
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Recommendation Rate
Recommendation rate measures how often AI answers recommend your brand as a fit for a prompt instead of merely mentioning it.
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Comparison Win Rate
Comparison win rate measures how often AI answers position your brand as the better fit in direct comparison prompts.
Citation and source metrics
Metrics for visible source evidence and the source mix behind AI answers.
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Citation Count
Citation count measures how many visible sources appear alongside an AI answer.
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Citation Quality
Citation quality measures whether the sources attached to an AI answer are relevant, current, accurate, and useful.
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Source Diversity
Source diversity measures the range of source types that appear to support AI answers.
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Source Authority
Source authority estimates the credibility, discoverability, and relative trust of sources that appear in or appear to shape AI answers.
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Owned Source Citation Rate
Owned source citation rate measures how often AI answers cite your own website, docs, templates, or other controlled properties.
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Third-Party Source Citation Rate
Third-party source citation rate measures how often visible AI citations come from sources outside the brand’s own properties.
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Source Influence Score
Source influence score estimates how strongly specific sources or source types appear to shape AI answer interpretation.
Answer quality and interpretation
Metrics that inspect whether the answer is accurate, complete, specific, and useful for buyers.
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Answer Accuracy Score
Answer accuracy score measures whether an AI answer says things that are factually correct and current.
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Answer Completeness Score
Answer completeness score measures whether an AI answer includes the important context a buyer needs to understand the topic.
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Brand Framing Score
Brand framing score measures how well AI answers explain what the brand is, who it is for, and why it matters.
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Entity Consistency Score
Entity consistency score measures whether public sources describe the brand, product, and category in a consistent way.
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Interpretation Quality
Interpretation quality measures whether an AI answer understands the brand in a way that is accurate, specific, current, and useful to buyers.
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AI Brand Sentiment
AI brand sentiment measures whether AI answers frame a brand positively, neutrally, negatively, or with mixed signals.
Prompt and buyer coverage
Metrics for prompt-set quality, decision-stage coverage, volatility, and buyer-question representation.
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Prompt Coverage
Prompt coverage measures whether your prompt set represents the buyer questions that matter.
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Prompt Volatility
Prompt volatility measures how much AI answers change for the same or similar prompts over time.
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Buyer Question Coverage
Buyer question coverage measures whether your content and prompt set reflect the questions buyers actually ask.
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Decision Stage Coverage
Decision stage coverage measures whether AI answer monitoring and content address the full buyer journey, not only early discovery prompts.
Prioritization and risk
Metrics that help teams decide which content action or source issue deserves attention first.
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Content Gap Severity
Content gap severity measures how much a missing or weak piece of content may be hurting AI answer interpretation.
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Content Action Priority
Content action priority ranks which content updates, new pages, cleanups, or source fixes should happen first.
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Help Center Risk Score
Help center risk score measures whether public support content may distort buyer-facing AI answers.