Generative Engine Optimization

GEO & AI Visibility Services

Ranking first stopped being the finish line the moment assistants started answering instead of listing. We work on the answer itself.

Six-plus years of SEO practice underneath the GEO work — the technical foundation, entity modelling and content architecture carry over directly.

The click you used to compete for may never happen

When someone asks an assistant "who should I use for X", they get a paragraph naming two or three companies. No ten blue links, no scroll, no chance to out-headline anyone. Either the model names you or it doesn't. That is a different game from ranking, and it rewards different work: being a well-defined entity the model can recognise, having claims about you corroborated in places the model trusts, and publishing content structured so a passage can be lifted cleanly into an answer.

Key takeaways

  • GEO is not a rebrand of SEO. It shares the technical floor but the target is citation and mention, not position.
  • Most of the work is entity and corroboration work: making your brand unambiguous and having third parties confirm what you claim.
  • Measurement is prompt-based, not rank-based — we track mentions, citations and share of voice across assistants over a fixed prompt set.
  • Technical wins land in 30-60 days; citation lift typically shows from 90-120 days, because it depends on sources being recrawled and models being refreshed.

Why models mention some brands and not others

An assistant answering a commercial question is doing two things: retrieving passages that look relevant, and leaning on whatever it already encoded about the entities involved. You can influence both, but not the same way. Retrieval you influence by publishing content that is chunk-friendly, current and specific enough to answer the question outright. The encoded knowledge you influence far more slowly, by being described consistently across sources the model saw during training and continues to crawl.

This is why brands with thin, inconsistent presences struggle even when their site is technically flawless. If your company is described three different ways across your site, your LinkedIn, your directory listings and the press, there is no clean entity to attach a recommendation to. Consolidating that is unglamorous work and it is usually the highest-leverage thing on the list.

What we actually do

Engagements differ, but the spine is consistent.

Entity foundation. One canonical description of who you are, what you do and who you serve, propagated across your site's structured data, your profiles and anywhere else you control. Organization and Service schema wired with stable @id references so machines can tell that the entity on your homepage and the one on your service page are the same company.

Content architecture for retrieval. Answer-first sections, questions phrased the way people actually ask them, self-contained passages that survive being pulled out of context. A page written as one flowing argument reads well to a human and terribly to a retriever; we restructure without gutting the writing.

Corroboration. Getting your claims to appear somewhere other than your own site — comparison pages, industry roundups, directories, partner sites, editorial coverage. A claim only you make is a marketing claim. A claim three independent sources repeat is a fact the model can safely restate.

Measurement. A fixed prompt set per client, run on a schedule across the major assistants, tracking whether you are mentioned, whether you are cited with a link, and who is named alongside you.

Field note. The single most common quick win we find is a brand whose own site never states plainly what it sells, in one sentence, without metaphor. Assistants cannot infer a positioning that the source material only gestures at.

How we measure something with no rank tracker

There is no Search Console for assistants, so the honest approach is sampling. We agree a prompt set that reflects how your buyers actually ask — commercial ("best X for Y"), comparative ("X vs Y"), and problem-led ("how do I fix Z") — then run it on a fixed cadence and record what comes back. Over time that gives you a share-of-voice trend, a list of competitors that consistently outrank you in the answer, and, more usefully, the specific sources the models keep citing. Those sources become the target list for the corroboration work.

We report this alongside conventional SEO metrics rather than instead of them. Organic search still sends the traffic that pays the bills for most clients; GEO is a second front, not a replacement, and anyone telling you to abandon one for the other is selling something.

What this is not

It is not submitting your site to a list of AI directories. It is not stuffing pages with question headings and calling it answer optimization. It is not a guarantee of being named — no one can promise placement in a system they do not control, and any agency that does is describing a wish. What it is: making your brand the most obvious, best-corroborated, most easily quotable answer to the questions your buyers ask, and then measuring whether that is working.

Who this fits

It fits best when there is a real business behind the brand and the problem is that machines cannot see it clearly. Companies with a defensible position, actual customers and subject-matter depth get results from this work because the corroboration is available to be built. Companies with no differentiation get very little, because the honest answer to "who should I use" genuinely is not them yet, and no amount of schema fixes that.

Working together

Most GEO engagements run alongside an SEO program rather than standing alone, because the technical foundation and the content work overlap heavily. If you already have an in-house team or another agency on SEO, we plug into that rather than duplicating it. Pricing is scoped to the size of the entity problem and the volume of content work; we quote a flat monthly figure after looking at your site and your current visibility, not before.

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