Learn the AI web

A plain guide to answerability, AEO and GEO: the concepts, the metrics and how to use them. Written to stand on its own and be useful even if you never run the tool.

Concepts

What is machine readiness

The five things every machine does with your site, and the one score that measures them.

WebMCP, how a page tells an agent what it can do

Mark a form as a tool an agent can invoke, with a name, a description and a description per input.

The origin and its many viewpoints

One source, read differently by browsers, crawlers, AI agents and a growing list of tools, plugins and apps.

What crawl budget is

The finite attention a crawler gives your site, and how it gets wasted.

What a digital twin of a website is

One graph of your site, inspectable from every reader's view.

What we do not measure, and why

The real signals Google uses that no external tool can honestly measure, so we do not pretend to.

How AI search differs from classic search

Classic search gives you links to click. AI search gives you an answer, assembled from sources.

How retrieval works: chunks and embeddings

How an AI finds the right passage on your page, and why the passage is the unit.

Trust, and why AI answers care about it

Engines repeat sources they trust. What builds that trust on a page.

Server rendering and client rendering

Where your page is built decides who can read it.

Share of voice in AI answers, and the honest take

How often AI names your brand. Worth tracking, but downstream of the page-level work.

Zero-click, when the answer needs no visit

The answer appears in the result or the chat, and no one clicks through.

The Kenovar crawl format, an open standard for crawls

A portable format for a website crawl: pages, links and scores, built on JSON Graph Format.

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