Andreas AhoniemiHead of Digital, Gullström & Co
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AI visibility and search

AI visibility is about being cited by ChatGPT, Perplexity, Google AI Overviews and Copilot, not only ranked in a list of links. It takes three things: content present in the HTML without requiring JavaScript, structure via schema.org so a machine can tell what is what, and answers written as self-contained passages that survive being lifted out of the page.

How the flow runs

  1. The crawler fetches

    GPTBot or ClaudeBot requests the page, with no browser.

  2. The server response

    Content is in the HTML, without requiring JavaScript.

  3. The structure

    Schema.org states who stands behind it and what is offered.

  4. The passage

    A self-contained answer that survives being lifted out.

  5. The citation

    You are named in the answer, with a link back.

Technical groundwork

Many modern sites render in the browser. Google can handle that, but several AI crawlers execute no JavaScript at all and see an empty page. The first step is almost always getting content into the server response, followed by a robots.txt that actually admits the crawlers you want citations from.

Structure machines read

Schema.org in JSON-LD states who stands behind the content, what is offered and which questions the page answers. It is the same data that powers rich results, and what language models lean on when deciding whether a source is credible enough to cite.

Measurement

AI traffic is poorly visible in standard analytics because it often arrives without a referrer. We set up crawler tracking in the server log and check regularly how you are actually described when the models are asked, which is the only measurement that means anything here.

Start with an hour

Bring a process that grates. We walk it together and you get a straight assessment of whether automating it is worth doing.

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