How do we get AI assistants to cite our content?
Retrieval systems pull passages, not pages. They favor text that answers a question directly, states facts plainly, and can be lifted without surrounding context. The practical implications are boring and effective: put the answer first, keep each claim self-contained, use specific language instead of promotional language, and make sure the page is crawlable and clearly attributed to a real business.
Passage retrieval changes what good writing looks like
A traditional page could build an argument across ten paragraphs and be rewarded for the whole. A retrieval system chunks the page, scores the chunks, and uses the ones that match. A brilliant paragraph that only makes sense after the three before it scores poorly because, on its own, it does not answer anything.
The adaptation is to write in self-contained units. Each section should be comprehensible if it were the only thing someone read. This makes for slightly more repetition than a purist would like and considerably more usefulness. It is also why the answer hub format puts a self-contained answer at the top of every page.
Traits that make a passage get used
- It names things precisely. Mechanisms, formulas, defined terms. Vague passages lose to specific ones from another source every time.
- It commits. "Usually no, because..." is usable. "There are many factors to consider" is not.
- It is checkable. Statements that could be verified read as more reliable, and hedged statements that cannot be checked read as filler.
- It states its own limits. Passages that say what does not apply, or where the answer changes, are disproportionately useful and disproportionately rare.
What does not appear to help
Keyword density, word count targets, and marketing adjectives. "Industry-leading," "cutting-edge" and "seamless" carry no information, and text that is mostly promotional is exactly the kind of passage a retrieval system has abundant reason to skip.
Also unhelpful: burying the answer beneath introductory context. If the first two hundred words explain why the topic matters, the passage containing the answer is competing with your own preamble for selection.
The measurement problem, honestly stated
You usually cannot see when an assistant used your content. There is no reliable equivalent of a rank report, citation counts are not exposed consistently, and traffic from these surfaces is often reported as direct.
What you can watch is the second-order effect: growth in branded search, direct traffic, and callers who arrive already knowing something specific you published. It is indirect evidence, and it is what is available. Anyone offering precise AI search citation metrics for a local service business is describing something the underlying platforms do not currently report, and it is worth asking exactly where the number came from before you plan around it.
Topics: AI search · citation · retrieval · passage optimization
Have a version of this question about your own business?
The useful answer usually depends on which systems you run and how they're connected. That's a conversation, not a blog post.