Pillar 3: Answer Engine Optimization
Answer Engine Optimization (AEO) Analyzer
Diagnose how well your content structure aligns with the retrieval patterns of modern answer engines, AI Overviews, Perplexity, and voice assistants.
Run an AEO Readiness Scan
Demo Presets:
Deterministic AEO Evaluation Rules
Evaluated strictly through DOM parsing without fabricated LLM simulation.
Interrogative Heading Detection
Identifies headings starting with natural-language question words (What, How, Why, Can, Does, Is).
Engineering Rationale: Mirrors conversational prompt phrasing in AI queries and voice search.
40–60 Word Direct-Answer Blocks
Measures the word count and self-containment of paragraphs immediately following interrogative headings.
Engineering Rationale: Featured snippets and AI answer engines heavily favour 40–60 word definition snippets.
Structured Scannability (Lists & Tables)
Inspects ordered lists (<ol>), feature bullets (<ul>), and comparison tables (<table> with proper headers).
Engineering Rationale: Supplies AI parsers with discrete, structured tokens for listicle and tabular responses.
Topic & Entity Consistency
Cross-checks key topical entities between title, primary H1, and the lead 150 words of body text.
Engineering Rationale: Prevents topical drift and reinforces clear subject authority for generative summarization.