Build Generative Engine Optimization authority so AI search engines (ChatGPT, Perplexity, Claude) cite your platform as a reliable source.
Target Outcome
Content that scores above the answerability gate (7.0/10) and achieves measurable AI citation in target query categories.
Prerequisites
Entity density, answerability scoring, citation potential, and query taxonomy — all four dimensions explained with implementation details and scoring thresholds.
Run `computeEntityDensity()` against your 10 most important content pieces. Threshold is 0.6 entities per 100 words (3 per 500 words). Flag all content below threshold for enrichment.
The answerability gate is 7.0/10 across four dimensions: directAnswer, specificity, actionability, evidence. Content below gate needs enrichment — specific values, numbered steps, commit refs, timing data.
Categorize your target queries as owned (you answer best), competitive (you compete), or gap (you should cover). Use `getQueryCoverage()` to measure current coverage percentage.
Gap queries are the highest-ROI GEO investment. For each gap query, create content that passes answerability gate with specific data, numbered steps, and real evidence references.
AI search engines cite content with verifiable evidence. The Evidence Framework defines quality standards for screenshots, terminal output, analytics data, and architecture diagrams.