AEO (Answer Engine Optimization) Checklist

Employ the "Sentence 1" FrameworkEnsure the target keyword or question is answered directly in the first sentence of the section before expanding into details. Avoid preamble or fluff.

Use Clear Subject-Verb-Object (SVO) SyntaxLLMs interpret SVO sentence structures far more easily. Simplify complex syntax where factual extraction is the main goal.

Create Dedicated Definition BlocksUse specific <div> blocks or highlighted callouts specifically defining terms. E.g., "What is [Product]? [Product] is a..."

Increase Factual DensityInject specific, verifiable data points (numbers, statistics, dates) into your content. LLMs prioritize sources with high empirical evidence over opinion.

Implement Synthesizable TablesUse standard HTML <table> tags for comparative data. Avoid using CSS grid or Flexbox for data presentation, as bots struggle to parse visual grids as tabular data.

Structured Lists (ul/ol)Use explicit bolding on the first 2-3 words of every list item (e.g., Feature 1: description), ensuring the engine can easily extract key points as bulleted lists.

Implement FAQPage SchemaMark up every literal Q&A section on your site with properly nested FAQPage JSON-LD.

Remove JS Render BlockingEnsure core factual content is present in the initial server-rendered HTML (SSR/SSG). Do not rely solely on CSR for content you need Perplexity to scrape quickly.

Verify Crawler AccessibilityEnsure AI-specific user agents (e.g., GPTBot, PerplexityBot, ClaudeBot) are explicitly allowed in `robots.txt` unless you specifically need to gate proprietary data.