What is web indexing? How it works and why AI search needs its own index

Web indexing converts crawled web pages into searchable databases, enabling search engines to retrieve and rank content quickly; Google’s process consists of crawling, indexing, and serving, though it does not guarantee that every discovered page will appear in results. Site owners can improve indexing prospects through XML sitemaps, Search Console requests, accessible pages without noindex or robots.txt restrictions, canonicalization, and strong internal linking, while exclusion commonly results from noindex directives, duplicate content, delayed crawling, or quality-related decisions after crawling. Unlike traditional search indexes that primarily rank links and display snippets, AI retrieval indexes must preserve full text, identify relevant passages, remain current, and cover less-linked but important sources such as filings, court opinions, clinical trials, and changelogs. Exa says it operates its own AI-focused index through ExaSearchBot, tracking 1.4 trillion URLs and serving 100 billion pages, with passage highlights, continuous refreshes, live-fetch controls, and specialized data sources organized for areas including finance, law, research, software development, and cybersecurity.

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