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What this knowledge base isCopy Anchor Link

A practical book about three overlapping topics, published chapter by chapter:

1. SEO basics — the technical and content conditions search engines rely on.
2. AIEO / GEO — how AI-powered answer systems select, trust and cite content, and what you can reasonably do about it.
3. Verification — how to observe change honestly: evidence, sample sizes, repeatable conditions, and experiments that can disprove their own assumptions.

The guides teach transferable methods. They do not promise rankings, and they do not pretend that "AI visibility" can be bought or guaranteed.

How the guides are organizedCopy Anchor Link

Guides are organized by task, not by audience — the same article serves a developer, an SEO practitioner, and a brand owner who needs the same answer.

• Foundations — mental models: what AIEO, GEO and SEO actually are, and how to run a first site check.
• Playbook — the operating manual: question libraries, product pages, pricing facts, comparison pages, original evidence, source-gap analysis, brand-fact correction, third-party coverage.
• Technical implementation — crawler access control, Next.js rendering checks, robots/noindex/canonical, structured data, sitemaps and IndexNow, access logs, llms.txt, bilingual sites.
• Measurement & review — Google and Bing AI reports, visibility sampling, attribution, post-change verification, the weekly GEO loop.
• Platform guides — Google AI Overviews, ChatGPT Search, Perplexity, Claude, and Chinese AI assistants (Doubao, DeepSeek, Kimi).
• Vertical guides — brand visibility, local business, e-commerce: the same method applied to different business shapes.
• Developers & agents — MCP, Skills, shared issue definitions, agent-friendly websites.
• Research & experiments — pre-registered experiment protocols for llms.txt, content structure, cross-language citations and citation lifetime.
• Templates & resources — the priority scoring and source-opportunity worksheets.

Suggested reading pathsCopy Anchor Link

If you build or operate websites: start with your first site check, then AI crawlers and access control, then the technical implementation chapter.

If you run SEO or content: start with AIEO, GEO and SEO, then the playbook — question library, product pages, pricing facts, source-gap analysis.

If you measure or report: the measurement & review chapter covers Google and Bing AI reports, visibility sampling, attribution limits and the weekly loop.

If you run a brand, a local business or a store: the vertical guides chapter covers brand-fact consistency, map data and NAP, and product data with recommendation monitoring.

If you build with agents: the developers & agents chapter covers MCP, Skills, and where the boundaries are.

Priorities and the first batchCopy Anchor Link

Articles carry a priority: P0 (first release), P1 (next), P2 (needs more evidence). The first batch ships in three waves — understanding & access, needs & content, measurement & execution.

Rules, findings, and guidesCopy Anchor Link

Findings in reports and demos reference stable rule IDs such as SEO-TITLE-001. Each rule in the reference explains the problem, how it is checked, where it applies, and links back to the guide that teaches the fix.

Where the product fitsCopy Anchor Link

The interactive demo shows the report shape using fixed sample data, and the technical check (beta) runs the rule-based checks on a real URL. The hosted product is in development — see the roadmap and join the waitlist for the private beta.