SEO built for humans and AI.

SEO advice is cheap. Implementation is where it falls apart, because the fixes that matter are technical and most reports stop at telling you what is wrong. We do the other half: the actual crawlability, schema, and content work, plus the newer job of getting your pages cited by AI search engines.

The problem we solve

Two gaps show up again and again. The first is the implementation gap: an audit lists 40 issues and nobody has the engineering time to fix them, so the report sits in a drive. The second is newer. Your page can rank in Google and still be invisible in AI answers, because ChatGPT, Perplexity, and Google's AI Overviews quote a handful of sources and yours is not one of them. Both gaps cost you traffic in ways a rank tracker will not show.

What you get

On the technical side, we fix the things that actually move rankings: crawlability, indexation, Core Web Vitals, schema, and site structure, shipped as changes a developer can merge rather than advice to interpret. On the GEO side, we make your pages quotable by AI engines: server-rendered content, self-contained passages, schema, an unlocked snippet cap, and an llms.txt, all confirmed against real AI crawlers. The full checklist is written up in our GEO methodology article.

How we measure it

AI citations do not appear in a normal rank tracker, so we track them with ConceptSEO, the platform we built for exactly this. It reports which pages get cited, for which prompts, on which engines, alongside classic positions, so you can see whether the machines writing the answers are quoting you at all.

How we work

Engagements run 6 to 14 weeks with a working demo or report every week, and we take on about five client projects a year. Every project ends with a clean handoff and documentation your team can keep running.

Proof

We run this on our own products first. Read how we got the Hyperliquid Guide cited in AI search, and how ConceptSEO tracks the citation layer that most tools ignore.