What is Share of AI Answer?

Share of AI Answer is the percentage of tracked question–engine pairs where an AI assistant (ChatGPT, Claude, Gemini, Perplexity, Grok) mentions or cites your brand in its answer. If you track 40 buyer questions across 5 engines and your brand appears in 68 of those 200 answers, your Share of AI Answer is 34%.

Last updated 2026-07-24

Why the metric exists

A growing share of product research now ends inside an AI answer instead of a list of ten blue links. When someone asks "best CRM for small agencies", the assistant names three or four products — and everyone else is invisible. Share of AI Answer is the market-share metric for those answers: of the questions that matter to you, how many name you?

It is the AI-era sibling of "share of voice". The difference is that an AI answer is winner-take-most: being the first organic result used to get you a third of the clicks, but being absent from an AI answer gets you nothing at all.

How it is measured

• Define the questions your buyers actually ask — discovery ("best X for Y"), comparisons ("A vs B"), alternatives ("A alternatives"), and brand checks ("is A worth it").
• Send each question to each engine with live web search enabled, so you measure the grounded answer real users see — an ungrounded answer reflects stale training data, not today’s reality.
• Scan each answer and its cited sources for your brand names and domains (and your competitors’).
• Score: cited answers ÷ total answers, overall and per engine, tracked over time.

What a good score looks like

There is no universal benchmark — a niche B2B tool being cited on 30% of its category questions may dominate, while a consumer brand at 30% may be losing. What matters is the trend and the gap: is your share rising, and who wins the questions you lose? Movements of a few points week-over-week are normal noise; sustained direction over a month is signal.

Common measurement mistakes

• Spot-checking by hand — one prompt asked once in one engine is an anecdote, not a measurement. Answers vary day to day.
• Measuring without web grounding — you get the model’s memory instead of the answer surface users see.
• Tracking only brand-name prompts — most buyer questions never mention any brand; those unbranded questions are where discovery happens.
• Changing the prompt set constantly — the prompt set is the yardstick; change it and your trend restarts.