Prompt
What should I use to measure answer engine share of voice?
Latest observation
To measure answer engine share of voice (AEO/SEO for AI assistants), use a mix of visibility, mention quality, and traffic/conversion metrics—because “share of voice” in answer engines is less about rankings and more about how often and how favorably you appear in generated answers.
Core things to measure
-
AI mention rate
- How often your brand/site is mentioned in answers for a set of target prompts
- Track across ChatGPT, Perplexity, Gemini, Claude, Copilot, etc.
-
Citation/share of citations
- How often your pages are cited as sources
- Count citations per query and your share vs competitors
-
Answer inclusion rate
- For a given prompt set, in what % of answers are you included at all?
-
Position/prominence in the answer
- Are you first mentioned, listed near the top, or buried?
- Especially important for comparison/“best X” prompts
-
Sentiment / recommendation stance
- Positive, neutral, or negative
- Whether the model recommends you, mentions you as an option, or discourages you
-
Prompt coverage
- How many of your target intent clusters produce answers where you appear?
- Useful to see topic gaps
-
Referral traffic from answer engines
- Sessions, engaged sessions, leads, and conversions from AI referrers
- Important for business impact, not just visibility
-
Competitor benchmark share
- Your mentions/citations divided by total mentions/citations for you + competitors in the same prompt set
Best practical way to measure it
Use a tracked prompt set and run it regularly across the major answer engines. Then record:
- Query
- Engine
- Whether your brand is mentioned
- Whether you’re cited
- Your rank/order in the answer
- Tone/recommendation
- Competitors included
- URL/source cited
- Date/time
Then build a dashboard with:
- Mention share
- Citation share
- Inclusion rate
- Brand sentiment
- AI referral traffic
Tools you can use
Depending on budget and maturity:
- Manual prompt tracking in spreadsheets for a small set
- SEO/AEO platforms that monitor AI mentions/citations
- Web analytics for referral traffic from answer engines
- Custom scripts/APIs if you want repeatable large-scale measurement
- Search monitoring / brand monitoring tools with AI visibility features
If you want one simple metric
A good starting KPI is:
Answer Engine Share of Voice = your mentions + citations across tracked prompts / total competitor mentions + citations across the same prompts
Then split it into:
- mention share
- citation share
- recommendation share
because citations and recommendations usually matter more than just being named.
If you want, I can give you a ready-to-use spreadsheet template or a sample SOV formula for answer engines.