Generative Engine Optimization
Use Generative Engine Optimization as a measurable loop: identify buyer questions, inspect answer evidence, improve accurate content, and re-measure recommendations.
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Answer Engine Optimization
AEO is not just content formatting. The useful question is whether an answer engine can find accurate evidence, understand the fit, and include your product when the buyer’s requirements match.
Get a snapshotIllustrative example · not customer measurements
A closer look at the measurement.
Buyer questionWhich option supports our CRM and team size?
Answer evidence
Supported plan, integration limits, setup requirements.
✓ factual✓ accessible✓ cited
What is AEO?
Answer Engine Optimization focuses on how information is discovered, interpreted and surfaced inside generated or direct answers. For marketing teams, that includes brand presence, citations, factual accuracy and the buyer questions where a product enters consideration.
What can you measure?
Track the answer state, competitor states and cited evidence for a controlled set of buyer questions. Keep technical crawlability, referral traffic and recommendation outcomes separate so each signal has a clear job.
What does improvement look like?
Useful AEO work can include clearer product documentation, comparison information, structured facts, accessible pages, stronger evidence and corrections to inaccurate third-party references. The right change depends on the observed gap—not a universal “LLM optimization” recipe.
Questions people ask
Is AEO only about getting cited?
No. Citations are one signal; the answer can also mention, shortlist or recommend brands in ways that need separate measurement.
Does Mentionloom combine crawler, referral and answer data into one score?
No. Those signals are deliberately reported separately.
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