The AI Readiness Score is a weighted composite across seven dimensions. Each dimension reflects a specific signal that AI-assisted search systems use to interpret, extract and cite a page. Same inputs produce the same score.
Methodology version 1.0 · Last reviewed 2026-07-12
Weights below sum to 100.
Intent match, entity clarity, extractability, trust signals, technical readiness, question coverage, commercial clarity and structured-data opportunities — factors the audit evaluates against publicly documented schema.org and answer-engine guidance.
We do not promise AI rankings, guarantee placements or rely on undisclosed 'hacks.' The audit surfaces what is unclear, missing or unstructured and provides specific edits. No platform can guarantee inclusion or recommendation.
Above 82 is Strong Foundation. 68–81 is Needs Improvement. 54–67 is High Opportunity. 40–53 is Limited Clarity. Below 40 is Competitive Risk. Labels are calibrated to what an operator can act on this week.
Every audit is deterministic. Given the same URL and inputs, the report is identical. This matters for teams comparing before/after and agencies benchmarking client work.
Our scoring maps to observable signals in the page and the structured metadata around it — not to guesses about model internals. Rewrites, FAQ suggestions and JSON-LD recommendations follow published schema.org guidance and answer-engine documentation.
When a signal cannot be measured (e.g. private analytics), we say so and describe the recommended pattern instead.