Great content cannot win AI answers if engines cannot reach, read, or trust the page it lives on. Technical readiness is the foundation layer of AI discovery: the crawl, indexing, and structure signals that decide whether your content is even eligible to be cited. This is a checklist you can run today. It will not, on its own, make you the recommended answer, but skipping it caps everything else you do.
Can AI and search crawlers reach you
Start with access. robots.txt controls which crawlers may fetch your site, and AI crawlers are their own category: GPTBot, ClaudeBot, PerplexityBot, Google-Extended, CCBot and more. Blocking answer and search crawlers keeps you out of the answers entirely; blocking training crawlers is a legitimate policy choice with a visibility cost. Decide deliberately, do not default by accident.
Checklist: confirm robots.txt is present and not accidentally disallowing key paths; know which AI crawlers you allow and why; and make sure your most important pages are not behind logins, interstitials, or aggressive bot protection that also turns away the crawlers you want.
Can they find and index your pages
Reachable is not the same as findable. A current sitemap.xml lists the URLs you want discovered, referenced from robots.txt, with real lastmod dates. Indexability then decides whether a fetched page can appear: check for stray noindex tags, correct canonicals, and clean status codes rather than soft 404s or redirect chains.
Checklist: sitemap present, referenced, and mostly absolute URLs with lastmod; important pages return 200 and are indexable; canonicals point where you intend; and no key page is silently excluded by a leftover noindex.
Can they understand and trust the content
Once a page is read, structure helps the engine parse and quote it. Structured data (schema.org) labels what a page is: an article, a product, an FAQ, an organisation, so the machine reads it without guessing. Clear headings, a stated answer near the top, and consistent entity naming make content easy to extract and cite.
Checklist: high-value pages carry relevant, valid JSON-LD; your organisation and product entities are described consistently across the site so engines connect them; and each page states its answer plainly rather than burying it.
The emerging and the ongoing
A few newer signals are worth covering. llms.txt is an emerging root-level file that gives AI engines a curated map of your best content; it is not yet universally consumed, but it is cheap to publish and forward-looking. Page-type coverage matters too: comparison, FAQ, glossary, and pricing pages are the formats AI answers lean on, so absence is a gap worth noting.
Treat readiness as a recurring audit, not a launch task. Sites change, tags drift, and a redeploy can quietly reintroduce a noindex or a broken sitemap. Re-run the checklist on a cadence so the foundation stays solid under everything else you build.