About AnswerMonk
AnswerMonk is a GEO (Generative Engine Optimization) intelligence platform that measures how brands appear in AI answers from ChatGPT.
AnswerMonk was founded in 2026 to answer one question with evidence instead of opinion: when a buyer asks an AI assistant a question in your category, does your brand appear in the answer — and if not, what specifically would change that?
What does AnswerMonk measure?
AnswerMonk measures brand presence in AI-generated answers: how often a brand is named across a panel of real buyer prompts, at what rank, in which search modes, and which third-party sources ChatGPT cites when it forms recommendations. The output is an appearance rate, a competitor leaderboard, a citation-source breakdown and a prioritized action plan — per mode, never blended into a single flattering average.
How does AnswerMonk measure it?
Four commitments define the method; each is documented in full at /methodology.
Real engine runs
Every data point comes from a live answer recorded from a real engine at run time. Nothing is simulated, estimated or backfilled from historical data.
Deterministic scoring
Recorded answers are scored by fixed, published rules — appearance is counted, not judged. Two people running the same panel over the same answers get the same numbers.
Evidence-graded recommendations
Every recommendation traces to something you can open: the prompt, the recorded answer, and the citation behind it. Advice that cannot show its evidence stays out of the report.
Re-audit verification
Fixes are not assumed to work. On each monthly re-audit the identical prompt panel is replayed, and each completed fix is stamped verified or not-moved against the fresh run.
Why does this approach matter?
AI answers are volatile — the same question, rephrased, can crown a different brand. Single spot-checks and unverifiable advice are the norm in this category. AnswerMonk's position is that a number you cannot reproduce is not a measurement, so the platform reports rates across prompt panels, publishes its method, and re-tests its own recommendations.
Where do I start?
The audit is free and takes 3–8 minutes: it runs your category's buyer prompts and returns your appearance rate, competitor leaderboard and citation sources. Ongoing monitoring is $19/mo per brand — details on the pricing page.
Free AI visibility audit — no signup, results in 3–8 minutes.
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Last updated 2026-07-25.