0115
Discoverability & Indexability
Can search and answer engines reliably access the intended public content?
CO MAVENAI AEO · 2026.10
Scoring should be explainable.
AEO Readiness is a 100-point score built from 50 atomic rules. Every rule declares its weight, evidence level, evaluator type, applicability, threshold, and remediation path.
Run a public auditSIX PILLARS
What the readiness score measures.
0215
Entity & Identity Clarity
Can machines confidently determine who the organization is, what it offers, and how its entities relate?
0325
Answerability & Intent Coverage
Does the site directly and completely resolve the questions people actually ask?
0420
Evidence & Authority
Are important claims specific, supportable, attributable, and useful enough to cite?
0515
Structure & Machine Understanding
Is the information represented clearly in HTML, metadata, structured data, links, and accessible semantics?
0610
Freshness & Information Hygiene
Are facts current, internally consistent, canonical, and maintained intentionally?
EVIDENCE LEVELS
How strongly do we know a factor matters?
Engine-confirmed
Documented directly by a search or answer engine. Product language can say the platform documents, requires, recommends, or reports it.
Empirically supported
Credible research or repeatable experimentation supports the factor, but it is not represented as a universal ranking rule.
Observational
Measured in first-party engine data or CoMavenAI benchmark observations. Correlation stays correlation.
Experimental
Emerging or plausible practices. Experimental signals receive no core readiness points unless a future methodology version promotes them.
EVALUATORS
Use AI only when code cannot answer it.
Deterministic: crawler access, index controls, canonicals, sitemap signals, structured-data validity, link structure, and similar machine-verifiable facts.
Jev: high-volume typed judgments such as answerability, entity clarity, evidence quality, and citability, behind a confidence-routed provider abstraction.
Frontier reasoning: deeper semantic analysis, ambiguous cases, and remediation generation.
Observational: first-party webmaster reporting and sampled cross-engine visibility measurements.
IMPORTANT DISTINCTION
Readiness is not visibility.
The readiness score never silently absorbs citation counts, brand mentions, or sampled engine observations.
AI Visibility is measured separately through citation rate, query coverage, engine coverage, brand mention rate, citation support depth, sampled citation share, factual fidelity when verified, and repeat consistency.
That separation lets a company see whether the problem is its site, its external authority, the query set, or simply that visibility has not developed yet.