规范定义、比较和实施指南。
Canonical definition of Generative Engine Optimization — how content becomes visible in AI-generated answers.
Answer Engine Optimization explained — structuring content so AI systems can extract and cite direct answers.
How generative engine optimization differs from traditional search optimization. Side-by-side with decision criteria.
When to use GEO strategy vs AEO strategy. Understand the difference between visibility and answerability.
Complete specification for the llms.txt standard — tell AI systems what your site contains.
Framework for planning content that earns AI citations. Audit, optimize, and measure AI search visibility.
每个概念有一个规范页面。
Generative Engine Optimization - visibility in AI answers
Answer Engine Optimization - direct answer extraction
Implementation specs - llms.txt, schema, crawl signals
Business frameworks - ROI, planning, measurement
Glossary, cheatsheets, canonical definitions
Evaluations, comparisons, and stack recommendations
Applied examples, implementation stories, and scenario-based evidence
Machine-readable specs and guidance for AI agents and parsers
新文章和行业分析。无垃圾邮件。
