AI Search Metric
Citation share
Also known as: SOV in AI, answer share, share of citations
The proportion of times a domain or page is cited inside AI-generated answers (ChatGPT, Claude, Gemini, Perplexity, AI Overviews) across a tracked prompt set. The AI-era equivalent of share-of-voice and the metric most predictive of branded discovery in 2026.
What it is
Citation share is the proportion of times a given domain or page is cited inside AI-generated answers across a tracked set of prompts. It captures how often a model reaches for your content as a source relative to all sources it cites.
Why it matters
It is the AI-era equivalent of share-of-voice and, in 2026, the metric most predictive of branded discovery, because being cited is what puts a brand in front of users who never see a traditional results page.
How it works
Practitioners run a fixed prompt panel across models, log every citation, and calculate the share each domain holds, then lift it by publishing source-grade content that models prefer to quote and attribute.
When it applies
Track it continuously for any category where buyers ask AI assistants for recommendations or comparisons.
Examples
- A SaaS vendor cited in 40 of 100 buyer-intent prompts holds a leading citation share in its category
- A publisher comparing its citation share against three rivals across the same prompt set each month
- A brand watching its share rise after a cluster of well structured comparison pages is indexed
How it is measured
- Citations of your domain divided by total citations across the prompt set
- Citation share per model (ChatGPT, Claude, Gemini, Perplexity)
- Trend in citation share week over week
- Citation share for branded vs unbranded prompts
Related terms in AI Search Metric
- AI visibilityAI visibility is how often and how prominently a brand, product or website appears in answers generated by AI assistants and AI search features. It is measured by mentions, citations and the quality of the description, not by keyword rankings. It is the AI search equivalent of share of voice on a results page.
- AI-referred trafficSessions referred from ChatGPT, Claude, Gemini, Perplexity, Copilot, and other LLM surfaces. Often under-counted in standard analytics because referrers are stripped or labelled as direct.
- Answer attribution rateThe proportion of AI answers that explicitly link back to source pages versus those that summarise without attribution. Attribution rate varies materially by platform and query type.
- Bounce-back rate (AI surface)The rate at which users return to the SERP or refine the prompt after seeing an AI Overview. Google's internal signal that an Overview failed, high bounce-back is associated with Overviews being silently removed for that query cluster.
- Brand mention rateThe frequency at which an LLM mentions a brand by name in answers across a prompt set, with or without citation. Brand mentions without citation are an early indicator of model-internalised brand awareness.
- Citation depthHow early in an AI-generated answer a source is cited. Earlier citations correlate with higher click-through from AI surfaces and stronger user trust signals.