A growing share of buying research now ends inside an AI answer that never sends a click. We work on being the source that answer is built from, and we measure it.
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The problem
AI answer engines summarise a handful of sources and cite a few. If you are not among them you are invisible for that question no matter where you rank — and traditional rank tracking will not show it happening, because the position did not change. The traffic did.
Clear question-shaped headings, the answer stated in the first forty words, specifics with numbers and named tools, and no burying the point under three paragraphs of preamble. Language models quote passages that stand alone.
Most AI crawlers do not execute JavaScript. A client-rendered site is simply absent from their index. This is the first thing we check and, on React and Vue sites, usually the first thing we fix.
Consistent naming, structured data, an about page that states plainly what the company is and where, and corroboration across third-party sources. Models resolve entities from agreement between sources, not from one page asserting something.
We run your priority questions against each engine on a schedule and record who gets cited. That is the metric — not impressions, not position. It also shows which competitor is currently owning the answer.
Tools we use
Still deciding
Same foundations, different target and different measurement. GEO is not a replacement for SEO and nobody should sell it as one.
The questions we get asked most, answered without the sales gloss. If yours is not here, ask us directly — you will get a straight answer either way.
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