Insights
What Businesses Need to Prepare for AI Search
To be correctly understood — and accurately cited — by AI search engines and AI assistants, a site needs to be organized not just for human readability but in a form machines can parse cleanly: structured data (schema.org) and a clear information hierarchy.
How search itself is changing
Traditional search engines evaluated pages mainly through keywords and link structure. AI search engines and assistants instead summarize and cite page content directly to generate answers — and sites with clearly structured information get cited more accurately under that model.
Why structured data matters
Providing company information, service details, and FAQs as schema.org structured data makes it much less likely that a search engine or AI assistant misinterprets what's actually on the page.
A clear information hierarchy
Sites with organized heading structure, breadcrumbs, and internal linking get summarized and cited more accurately by AI. Vague phrasing or context-dependent explanations risk being cited incorrectly.
Providing information without exaggeration
AI assistants sometimes quote or summarize a site's own wording directly. Exaggerated claims or unsupported assertions risk being passed along to users in ways you didn't intend — which is exactly why sticking to factual, verifiable statements matters.
The risk of not addressing this
A site without structured information risks being interpreted incorrectly by AI search engines, and being referenced less often in search results and generated answers.
Recommended next step
We recommend reviewing structured data implementation as part of any migration. This site itself is built on that same principle.
Start by finding out what's still valuable on your current site.
Just send the URL — we'll examine what's there now, the technical risks, and what migration could look like.