How do you ensure owned properties are optimized for both Google and AI search?

Optimizing owned properties for both Google and the AI engines comes down to disciplines that overlap heavily – what makes content legible to a search crawler also makes it extractable by a model. The technical layer: clean HTML and schema markup so the systems can parse the entities and content type, and structured headings that make the document’s logic explicit. The credibility layer: named expert authorship rather than anonymous corporate prose, current dates and freshness signals, and authoritative external citations that ground the claims. And the extraction layer: FAQ blocks and clear question-and-answer structure, since that is the format the AI engines pull from most readily and what featured snippets reward. This last point is what we call writing for the extract – structuring content so a model can lift an accurate, self-contained answer from it. The same page that does all of this ranks in Google and gets cited by the engines. We build owned properties to these standards and verify the result across both search and the AI engines with IMPACT™ and AIQ™.