AEO Readiness
A 100-point, versioned score across discoverability, entity clarity, answerability, evidence, machine understanding, and freshness.
ANSWER ENGINE OPTIMIZATION
See how answer engines understand your site.
CoMavenAI AEO separates what your website is ready for from what AI systems are actually citing. Start with a public-site audit, then measure visibility and fix the gaps that matter.
Versioned methodologyEvidence-backed findingsNo mystery score
PUBLIC AEO AUDIT
Start with the site you already have.
No login. No email gate. The public audit checks up to 10 pages and reports readiness separately from observed visibility.
AEO READINESS
—/100
Audit result
How this score works
The versioned diagnostic rubric is separate from actual AI visibility. A retained report explains measurements, coverage, and limitations.
Prioritized findings
NEXT LAYER
See the methodologyReadiness is not visibility.
The full CoMavenAI workflow tests representative questions across grounded AI engines, compares cited sources, generates implementation-ready fixes, and rechecks the affected rules.
THE MODEL
One score would hide the useful part.
A technically excellent site can have low observed visibility. An established brand can be cited frequently while its own site has serious structural weaknesses. CoMavenAI reports those separately.
AI Visibility
Sampled grounded observations: citation rate, query coverage, engine coverage, brand mentions, support depth, and consistency.
Citation Opportunity
Query-level gaps between your site and the sources AI systems are currently using, framed as evidence-backed hypotheses rather than causal claims.
METHODOLOGY 2026.10
Transparent enough to challenge.
Fifty atomic rules. Exact weights. Evidence levels. Deterministic checks when code can answer the question. Jev and frontier reasoning only where judgment is actually required.
Read the scoring methodology15Discoverability & Indexability
15Entity & Identity Clarity
25Answerability & Intent Coverage
20Evidence & Authority
15Structure & Machine Understanding
10Freshness & Information Hygiene
WHAT WE DO NOT SCORE
No points for AEO folklore.
llms.txt earns zero core readiness points. We can detect or generate it for interoperability, but we do not present it as a proven visibility lever.
No generic FAQ-schema bonus. Structured data is rewarded for correctness and clarity, not because it is marketed as an AI trick.
No guaranteed “ChatGPT ranking.” API-grounded observations are labeled as samples, not a promise of what every consumer session will show.