Your buyers now ask AI for recommendations. Your brand isn't in the answer.
Search did not die, it moved. A growing share of your buyers ask ChatGPT, Perplexity, Gemini and Google's AI Overviews to shortlist brands for them, and those tools quote a handful of sources, not ten blue links. Generative Engine Optimization is the work of becoming one of the sources they trust and name. We make your brand legible to the models, and present where they look.
01 / Problem
The problem you are actually feeling
- You typed your category into ChatGPT and a competitor got named. You did not.
- Your SEO is fine, but AI Overviews and chat assistants are quietly eating the clicks that used to reach you.
- Your best proof is locked in a PDF, a carousel, or a walled platform the models cannot read.
- You have no idea what ChatGPT actually says about your brand, or where it got it.
02 / Diagnosis
Why this keeps happening
Large language models do not rank pages the way Google does. They synthesise an answer from sources they have ingested and trust, leaning heavily on third-party mentions, well-structured content, and material updated recently. Most brands are invisible to them for three reasons: their strongest proof lives in formats a model cannot parse; nobody credible is talking about them in the places models read; and their own site does not answer the specific questions buyers ask in the words buyers use. SEO got you ranked. GEO gets you quoted, and the two are no longer the same job.
03 / Fix
How we fix it
We start with an audit: we ask the major assistants what they say about your brand and your category today, and trace where those answers come from. Then we build the inputs the models reward: clear, structured content that answers real buyer questions; entity and schema markup so machines understand who you are; and a third-party mention plan, because models trust what others say about you more than what you say about yourself. Content gets refreshed on a cadence, because recency moves AI answers in a way it never moved classic SEO. Then we re-run the audit and watch the citations shift.
04 / Outcome
What changes for you
Your brand starts showing up when a buyer asks an assistant to shortlist options. You get a monthly read on what the major models say about you and why. Your content earns citations, not just impressions. And you stop ceding the highest-intent moment in the funnel, the moment someone asks a machine "who should I use", to whoever optimised for it first.
Real questions we get
Real questions we get
No. SEO optimises for a ranked list of links. GEO optimises to be the source an AI quotes inside a synthesised answer. They share fundamentals (clean structure, useful content) but diverge on what wins: AI answers reward third-party mentions, recency, and machine-readable structure far more than backlinks alone.
ChatGPT, Perplexity, Google AI Overviews and Gemini primarily, with Claude and others tracked. We audit what each says about your brand and category, because the same query can pull different sources across them.
Slower than paid, comparable to SEO. Models re-ingest and re-rank on their own cycles, so meaningful citation movement usually shows over two to three months. Recency helps, content updated in the last 30 days gets cited disproportionately, which is why we refresh, not just publish once.
We track whether the major assistants name your brand for your priority queries, which sources they cite, and how that set changes month over month. It is a different scoreboard from rankings, and we report it in plain language.
No, but you cannot publish once and walk away either. AI answers favour fresh material, so the work is a steady cadence of new and updated content aimed at the questions your buyers actually ask, not volume for its own sake.