Get cited in AI answers

Assistants such as ChatGPT, Perplexity, and Google AI Overviews build answers from sources they select themselves on relevance and trustworthiness. They read your page differently than a human: headings, lists, tables, and the opening paragraphs carry the most weight. A page that hides its main answer at the bottom gets cited less often than a page that answers immediately.

So we look at each page to see which question it truly answers, and whether that answer surfaces without clicking or scrolling. That is also why a SERP looks different from an AI answer: the first rewards clickability, the second rewards citability. Both call for their own build of the same content.

Generative engines prefer figures with a source and a date. "We are fast" gets skipped; "99/100 mobile Performance, measured September 15, 2026" can be quoted and checked. In our own GEO audit, evidence density was the pillar with the largest gain: from 18 to 28 out of 35 points by consistently adding figures, units, and dates.

We inventory which facts you can back up — measurements, timelines, recurring key numbers — and where they belong. What you cannot back up, we phrase honestly as an assumption. An assistant that notices a contradiction prefers to skip your source altogether.

An AI assistant should not just read your page; it should know who stands behind it. For that, we confirm your business as an entity: a consistent name and details on your own site, linked to verifiable mentions elsewhere — industry registers, review profiles, and a coherent structured data layer. Our own entity chain grew in 2026 from one to three external mentions that link back to the site.

This is multi-round work: creating profiles, aligning details everywhere, and confirming the links on the site itself. We prepare the steps and run them with you; what you want to confirm publicly stays your call.

The technical layer decides whether an assistant can parse your content. Semantic HTML, one clear question per section, a logical heading hierarchy, and metadata without contradictions make a page machine-readable. Outdated material works against you too: an old page answering the same question differently lowers trust in both.

We check what a crawler sees on every route, from the robots file and sitemap to the rendered headings and SEO signals. Where the build gets in the way, we rework the page's structure — not your brand voice. The content stays yours; the presentation becomes citable.

Every GEO round starts and ends with measurement. The audit yields the score across four pillars; Google Search Console additionally shows how your classic visibility moves, because GEO must not damage SEO. We also verify that the relevant AI crawlers can actually read your site: in our own audit, all seven known assistant bots turned out reachable and welcome.

We repeat these measurements at fixed intervals of at least thirty days. That shows trend against noise: one day of numbers says nothing, a full cycle shows where you stand and what the next lever is.

AI assistants re-read sources and reweigh answers: what gets cited today can go quiet next month when a competitor publishes a stronger source. GEO is therefore not a project with an end date but a maintenance rhythm: posting new figures, updating dated claims, extending the entity chain.

Part of that rhythm can be automated: specialized AI agent workflows prepare measurements, checkpoints, and draft updates, while every content decision stays with your team. That keeps the workload manageable without letting citability fade. Read more about that way of working at AI & automation.