Technical AI discoverability

Updated: 23.07.2026

Crawlability

Crawlability is how easily automated bots — including AI crawlers — can access and parse a site's content. If a page cannot be reached or read through a crawl path, that path generally cannot index, ground, or cite it.

In plain terms

Blocked routes in robots.txt, content that only appears after heavy JavaScript, broken links, and messy markup all reduce crawlability.

For example, a key comparison page that renders only client-side may be invisible to a crawler that does not execute scripts.

Good crawlability means bots can fetch important pages and parse their meaning in server-rendered or otherwise accessible HTML.

Why it matters

A retriever cannot fetch a page through a path that the site blocks or fails to serve, so access and readable HTML are necessary for that retrieval path.

Successful crawling alone is not sufficient: indexing, ranking, query relevance, and provider behavior still determine whether the page is used.

How it relates to GetCited.me

GetCited.me fetches the analyzed site and policy files, inspects selected HTML and JSON-LD signals, and uses same-origin sitemap or link discovery for site inventory. It reports observed access and parsing gaps without claiming that successful fetches guarantee indexing or citation.

Where this shows up in practice

Per-engine reference pages: what the vendor documents about attribution, and what is not documented.

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Related terms

AI crawlerAn AI crawler is a bot that fetches web content for an AI product — for search grounding, real-time answers, or model training.SitemapA sitemap is an XML file listing a site's URLs to help crawlers discover and index them.robots.txt (for AI crawlers)robots.txt controls which compliant crawlers may fetch specified URL paths; different AI and search uses may rely on different crawler tokens.

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