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AI Search

Assistants answer before anyone clicks. These pieces are about what that does to a business that has spent years earning positions in a list of ten blue links.

What is AI search optimisation?

It is the work of making a page easy for a language model to retrieve, quote and attribute: a clear claim near the top, facts stated once and stated plainly, an entity the model can resolve to your organisation, and enough corroboration elsewhere that naming you is a safe choice. It is not a new channel so much as a new reason the old fundamentals matter.

Written on AI Search

How we think about this

The honest position is that nobody has five years of data on this. What can be observed is narrower and more useful: which of our pages get quoted, which get paraphrased without a name, and which never surface at all. The difference between the three is rarely the writing. It is whether the page states something specific enough to be worth quoting and whether the organisation behind it can be identified without guesswork.

The second thing worth watching is the shape of the loss. When an assistant answers a question completely, the click that used to follow does not happen, and the pages that lose it first are the ones that only ever answered that question. A page that explains what a 301 redirect is was always going to lose. A page that explains what to do when a migration has already gone wrong was not. Sorting your own library into those two piles is the most valuable half day you can spend on this.

The work behind these pieces

Where this subject turns into something we are paid to do.

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