Buyers ask an AI assistant, and it doesn't know we exist
A growing share of buyers now ask an assistant rather than scrolling a results page. Being cited by one is a different discipline from ranking: it rewards pages that answer a real question completely, in a form a model can retrieve and quote.
How is this different from SEO?
Classic search sends a person to your page, so a page can afford to tease. An assistant reads your page and answers on your behalf, so a page that teases gets skipped in favour of one that answers. The unit of value shifts from the click to the citation.
Practically that means self-contained pages, questions answered where they are asked, claims that carry their source, and machine-readable structure underneath. None of it is exotic — but it is a different brief from the one most sites were written to.
What usually goes wrong with content written to rank?
- The page is written to rank, so it circles the question instead of answering it.
- The real answer lives in a PDF, a video, or behind a form, where nothing can read it.
- Claims carry no source, so a careful assistant declines to repeat them.
- Nobody measures assistant referrals, so there is no evidence either way.
How do we make a page worth citing?
Answer, then elaborate
Each page states its answer up front and earns the rest of the reader's attention afterwards. This page is built that way on purpose.
Structure a machine can read
Question-form headings, schema.org markup, and a feed that describes the site in plain text for the crawlers that want one.
Measure the referrals
Assistant traffic is separable from search traffic if you instrument it. We do this on our own site first.
Sound familiar?
Start with an assessment — people, process and technology, looked at together.