AI Search and GEO
A practical guide to how websites become discoverable, understandable, and citable in AI-generated answers.
Latest articles
Event-Driven Discovery Files for AI Search
Learn how event-driven publishing keeps sitemaps, RSS, and llms.txt current without allowing high-volume sources to hide important content.
Server-Rendered Content, Structured Data, and AI Crawlers
Learn why initial HTML matters and how to use structured data without hiding essential meaning behind client-side JavaScript.
How to Measure AI Citations Beyond Raw Mention Counts
Evaluate AI citations by coverage, accuracy, source quality, context, stability, and the business questions they support.
How Query Fan-Out Changes Content Discovery in AI Search
A practical explanation of query fan-out and how clear subtopic coverage helps content participate in AI search retrieval.
A practical AI Search and GEO guide is now available
Explore the ZOXO AI Search and GEO guide covering retrieval, crawler access, structured data, citations, emerging practices, and measurement.
What Google’s official guidance says about visibility in generative AI search
A source-based review of Google guidance for AI Overviews and AI Mode, including crawlability, useful content, JavaScript, structured data, and measurement.
What AI citations reveal about brand visibility
Learn how to interpret AI citations, brand mentions, source selection, answer accuracy, and variability across prompts and platforms.
How to audit whether AI systems can understand your website
Audit a website for AI search readiness with a practical review of crawl access, content clarity, structured data, evidence, and measurement.
Further reading
Official documentation, open specifications, and foundational research.
- Google Search: Optimizing for generative AI features
- OpenAI: Publishers and Developers FAQ
- OpenAI: Overview of OpenAI crawlers
- Bing Webmaster Guidelines for search and Copilot
- llms.txt proposal and specification
- IndexNow protocol documentation
- Schema.org documentation
- GEO: Generative Engine Optimization (KDD 2024)
- Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks