These guides explain how brands show up in AI search: the foundations of AEO, how ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews surface and cite sources, how to create citation-ready content, and how to measure visibility, gaps, and changes over time. They’re for founders, marketers, SEO and content teams, and agencies who want a practical starting point or a clearer way to evaluate AI-search visibility. AISearchStackHub’s free scan, citation-gap analysis, and monitoring tools extend the education with observed mentions, citations, scores, and trends—useful signals, not guarantees of rankings, citations, or business results.
What is the AISearchStackHub guides section?
The guides section organizes our long-form content into three topic cluster hubs: AEO fundamentals, LLM visibility platform tactics across the four major engines, and brand monitoring practice. Each hub links to a dozen or more guides with consistent structure so you can audit the depth.
Which guide should I start with?
If you are new to AEO start with /guides/aeo for the methodology-first introduction. If you already know what AEO is, jump to /guides/llm-visibility for the per-platform tactics that drive citation lift across ChatGPT, Claude, Perplexity, and Gemini.
Are the guides updated regularly?
Yes — we update the methodology pages quarterly with new data and re-validate every guide against Google Search Console performance to flag any guide whose search visibility has degraded. We focus updates on the highest-traffic guides first.
How do you measure guide quality?
Each guide's quality is measured against three metrics: time on page from organic search, indexed coverage by Google Search Console, and citation rate when the guide is retrieved by an LLM. We surface per-guide quality scores in the editorial kanban.