How do featured snippets relate to AI search results?

Google’s featured snippets and the AI Overview and answer-engine results use closely related selection logic. Both want a clean, extractable answer to a clear question, with the answer presented compactly and supported by source authority. A page that performs well for featured snippets – structured headings framed as questions, two-to-three-sentence direct answers, schema, authoritative attribution – tends to do well in AI Overviews and to be cited at higher rates across Perplexity and ChatGPT Search. The reverse is also true: content built specifically for AI citation tends to win featured snippets as a byproduct. The practical implication for a content program is that the writing-for-the-extract discipline pays off across both layers, and the work to optimize for one is not separate from the work to optimize for the other.