Articles on AI search, AEO and where websites go wrong
Analysis of the failures we find again and again when we audit sites: blocked crawlers, empty HTML, missing entities, buried answers and metrics that measure the wrong thing.
Most small business websites ask to be trusted without offering a single checkable reason. Anonymous posts, stock photos, no team page, no dates, no credentials, no named clients. A human visitor forgives that. An AI engine deciding whether to recommend you does not, because it has nothing to weigh.
AI engines prefer recent sources and they show the dates. When they quote your three-year-old price or your discontinued service, the customer arrives with the wrong expectation and you look careless. Stale content used to cost you rankings slowly. Now it costs you trust instantly.
A 2026 analysis found 44 percent of ChatGPT citations came from the first third of the cited page, and only around 15 percent of retrieved pages were cited at all. Warming up for four paragraphs before saying anything is not a style choice any more. It is the reason your competitor gets quoted.
'We deliver innovative solutions that empower your business.' An AI engine reads that and learns nothing it can use. The vague-copy problem was tolerable when a human read past it to the contact form. It is fatal when the reader is a machine deciding whether to recommend you.