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Be the source the AI quotes.

Search is splitting in two. Half your future buyers will never see a blue link — they’ll read an answer an AI assembled. GEO is how you become the page that answer is built from.

Ranking and being cited are different games

Classic SEO optimizes to win a position in a list of links. Generative Engine Optimization optimizes to be the source a language model pulls into its answer. The mechanics are different: answer engines reward clarity, structure, freshness, and verifiable provenance over keyword density and backlink volume.

If your category is one people now research by asking an assistant, the question is no longer “where do we rank?” It’s “when someone asks about this, are we in the answer — and are we cited as the source?”

How we make you citable

We restructure key pages to be answer-first: the claim up top, the support beneath, the caveats explicit. We add the machine-readable layer — clean schema.org structured data, FAQ markup, and an llms.txt that tells AI crawlers exactly what your source-of-truth pages are.

Then we make trust legible. Last-updated stamps, author and provenance signals, and consistent entity naming all tell an answer engine that your page is current and authoritative — the difference between being quoted and being skipped.

Measured, not hoped

GEO only matters if it shows up in the answers. We run monthly LLM audits — querying the major assistants with the prompts your buyers actually use and tracking whether you appear, how you’re described, and who gets cited instead. That turns “AI visibility” from a vibe into a tracked metric you can move.

It compounds with everything else: the same answer-first, well-structured pages also tend to perform better in classic search and convert better for humans.

Cited
In ChatGPT, Perplexity, Claude, Gemini
Monthly
LLM visibility audits
Schema
Structured data + llms.txt

Frequently asked questions

Is GEO a replacement for SEO?
No — it’s a second surface. The good news is that answer-first structure and clean provenance usually help classic search rankings too.
How do you prove it’s working?
Monthly LLM audits: we query the major assistants with your buyers’ real prompts and track whether you appear and how you’re cited over time.
What do you actually change on the site?
Answer-first content structure, schema.org + FAQ markup, an llms.txt, and freshness/provenance signals like last-updated stamps and consistent entity naming.

Bring your funnel. We’ll show you where this would act.

Thirty minutes, screen-share, no slides — the person who built the engine walks you through what it would do on your site.

Book a 30-min discovery →