We've already removed a bunch of outdated service pages and rewritten most of the content on our site, but AI assistants still keep bringing up information that hasn't been accurate for months. Google has picked up the changes, and users visiting the site see the updated pages, so I'm not sure why AI tools seem to be stuck on older content. Is there any practical way to check whether the current version of a site is actually what AI systems are seeing, or if something about the site is preventing them from picking up the latest information?

Google updating its index doesn't prove that every assistant is fetching the page live. Some answers still come from older training data, while browsing agents can reach abandoned URLs that are no longer linked from the main navigation. Open those old addresses directly and check whether they return 404 or 410, or redirect to the replacement. It's also worth comparing the raw HTML with the rendered page, since a crawler may never receive text that appears only after JavaScript loads.

The other part of the problem is whether AI crawlers can reach the replacement pages at all. A site may look current to visitors while its crawler rules and discovery signals still point agents in the wrong direction. Check whether your site is AI ready here: https://isitagentready.com . The scan won't force a model to forget old training data, but it can reveal whether browsing agents have a clear route to the revised pages. Any blocked access or weak discovery signals would give you something concrete to fix.