AI Search Metric
Answer attribution rate
The 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.
What it is
Answer attribution rate is the proportion of AI answers that explicitly link back to source pages versus those that summarise without any attribution. It reflects how often a platform credits sources at all.
Why it matters
It matters because attribution is the bridge from being a source to receiving traffic, and rates vary materially by platform and query type, which shapes where citation effort actually pays off.
How it works
Practitioners measure how often answers carry source links across platforms and query categories, then concentrate content investment on the surfaces and query types that attribute most reliably.
When it applies
Assess it when deciding which AI platforms and query types are worth optimising for traffic rather than awareness.
Examples
- A platform that links sources for how-to queries but rarely for definitional ones
- Comparing attribution rates between a citation-heavy assistant and a summary-first one
- A team shifting effort toward query types where answers consistently link out
How it is measured
- Share of answers containing at least one source link
- Attribution rate by platform
- Attribution rate by query type or intent
- Trend in attribution rate as platforms change behaviour
Related terms in AI Search Metric
- 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.
- 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.
- Citation diversity indexThe number of distinct domains an LLM cites across a prompt set, normalised by prompt count. Falling diversity in a category signals consolidation, and a closing window for new entrants.
- Citation shareThe 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.