Share of answer, not share of voice
We track a fixed panel of buyer prompts across every major engine and report how often your brand is named, quoted or linked — week over week, with competitor benchmarks.
Service 01 · Generative Engine Optimization
AI assistants answer first. We make sure the answer includes you — and that the citation points at your site, not a competitor’s.
The premise
Buyers no longer start with ten blue links. They ask one question, read one answer, and move on. That answer is assembled from a small set of sources the model already trusts — which means visibility is now a sourcing problem, not a ranking problem.
GEO is the discipline of becoming that source. It combines entity clarity, structured data, quotable content, and deliberate citation earning across the places models retrieve from. We run it as an operating program with a weekly panel of real buyer prompts, so progress is measured in share-of-answer, not impressions.
Outcomes
We scope engagements around commercial outcomes, then build the measurement to prove them.
We track a fixed panel of buyer prompts across every major engine and report how often your brand is named, quoted or linked — week over week, with competitor benchmarks.
Every earned citation reinforces the next one. We build a citation graph around your category so models encounter consistent, corroborated facts about you from sources they already retrieve.
AI referrals arrive without a clean referrer. We instrument a measurement model that separates AI-assisted demand from direct, so the channel earns budget on revenue rather than vibes.
Scope
Every engagement includes a written scope, a named lead and a weekly readout. No black boxes.
150 buyer prompts modeled on your sales calls and search demand, sampled across ChatGPT, Perplexity, Gemini, Claude, Copilot and AI Overviews.
One canonical definition of what you do, who you serve and what you claim — written to be repeated verbatim by a model without drifting.
A ranked list of the sources each engine retrieves for your prompts, scored by authority, accessibility and how winnable each placement is.
Comparison pages, definitions, data studies and expert Q&A written in extractable blocks — with schema, author entities and clear provenance.
Share-of-answer, citation velocity, AI referral sessions and assisted pipeline in one weekly view your leadership team will actually read.
Method
Diagnose before you build. Build before you scale. Measure everything.
Baseline your prompt panel, audit crawler access, and map which sources currently own the answer in your category.
Fix the facts: schema, author profiles, third-party profiles, naming and claim consistency across every surface a model can read.
Publish the pages models need to quote you — and earn the third-party citations that make those pages credible.
Re-sample the panel weekly, double down on the prompts and engines moving, and feed the winning narratives into paid media.
Evidence
Northwind Analytics
A B2B analytics platform was losing every AI answer to two competitors. We rebuilt its entity layer, published a quotable corpus, and grew weekly citations 6.4× in 120 days.
CRM category
We asked ChatGPT 40 buying questions across five CRM brands. Three brands took almost every mention, review sites took most of the citations, and none of the vendors published schema.
Investment
Fixed fees, no percentage of spend, and a scope you can read in five minutes.
$0 one-time
A self-serve diagnostic of your GEO foundations and a prioritized action list.
$9,500 6 weeks
A focused build for one category and one primary engine, designed to prove the channel fast.
from $7,500 per month
The full operating system: continuous content, citation earning, and weekly measurement.
Fees are in USD and exclude media spend and third-party tools. Scope is agreed in writing before work begins.
Questions
Generative Engine Optimization is the practice of making a brand more likely to be retrieved, cited and quoted by AI answer engines such as ChatGPT, Perplexity, Gemini, Claude, Copilot and Google AI Overviews. It works on the inputs those systems rely on: crawlable content, entity consistency, structured data, corroborating third-party sources and clear, quotable answers.
SEO optimizes for a ranked list of links. GEO optimizes for selection inside a synthesized answer. That shifts the work toward entity clarity, source credibility, extractable passages and multi-engine retrieval — and it changes measurement from rankings and clicks to share-of-answer and citation velocity.
We run a fixed panel of buyer prompts against every major engine on a weekly cadence, then record whether the brand is named, quoted or linked, which competitors appear, and which sources are cited. That produces a share-of-answer score and a citation graph you can trend over time.
No credible agency can. Models are non-deterministic and their retrieval sets change. What we can guarantee is the work: crawlability, entity consistency, structured data, quotable content and citation earning — plus transparent measurement so you can see the trajectory.
Further reading
Share-of-answer, citation velocity and AI-referred revenue — a measurement framework that survives scrutiny, plus the five mistakes that make GEO dashboards useless.
Generative Engine Optimization, defined without the hype: what it optimizes, how it differs from SEO, and the four levers that actually move AI visibility.
GEO Agency
Bring us your current numbers and one commercial problem. We will tell you whether we can move it — and how we would measure it.