Growth Engineering Playbook · Wave 3
Would an AI answer engine quote this page?
Search is moving from ten blue links to answer engines — AI Overviews, ChatGPT, Perplexity — that extract and quote content instead of just linking it. This audits an article the way those engines read it: answer-first structure, self-contained definitions, question-shaped headings, quotable sentences, concrete specifics, and the structured data that maps questions to answers. It scores each dimension, shows the exact sentences a model would lift, recommends the schema to add, and gives prioritised fixes. Deterministic rules, not an LLM — so every score is inspectable. Paste your own article, or run it on the meta example.
Score Breakdown
Six dimensions of answer-engine readiness, each with the finding behind the score.
What an Answer Engine Would Quote
The most liftable sentences — self-contained, definitional, or concrete.
Prioritised Fixes
Ranked by impact on the overall score — the highest-leverage edits first.
Structured Data to Add
The schema an answer engine uses to map questions to answers — with a ready snippet.
Answer Coverage
Does the page answer your target question — early, and quotably?
Outline
Heading structure, flagged for question-shaping and answer presence.