Service — GEO/AEO Optimization
Technical buyers are increasingly starting research inside ChatGPT, Perplexity, and Google AI Overviews before they ever run a traditional search—asking things like which valve handles a specific chemical, or how two components compare on spec. If an AI engine has nothing verified from your company to cite, it cites a competitor, or no vendor at all.
GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization) structure your real technical content so AI answer engines can find it, trust it, and quote it—with your company’s name attached.
The same verification standard as everything else—built for a new kind of search.
What This Actually Is
Traditional SEO optimizes for a ranking position in a list of links a human scans and clicks. GEO and AEO optimize for something different: being the source an AI system extracts a direct answer from and attributes to your company.
Structuring content so AI systems like ChatGPT and Perplexity can find, parse, and understand it well enough to use as a source when generating an answer—clear structure, verifiable claims, and machine-readable schema markup.
Writing content that directly and specifically answers one real question, in a format an answer engine can extract cleanly—including Google’s AI Overviews, which pull from the same kind of clear, well-structured source content.
In practice, GEO and AEO are almost always pursued together: the content structure that helps an AI engine trust and cite a source is largely the same structure that lets it extract a direct, quotable answer.
Why This Matters for Industrial B2B Specifically
Which pump handles this chemical at this flow rate. How this automation component compares to that one on spec. What certification a given material actually needs to meet. These are precise, technical, and exactly the kind of question a buyer now asks an AI system first.
If your company has nothing published that answers these questions clearly and verifiably, the AI engine cites whoever does—a competitor, a generic publisher, or nobody with your name on it at all.
Industrial distributors and manufacturers often have exactly the kind of specific, source-backed technical knowledge that AI answer engines are built to surface—it just has to be published somewhere they can find it.
There's no direct submission process to get an AI system to cite you. The only real lever is publishing genuinely clear, verified, well-structured content the model's own retrieval process is likely to find and trust.
Every GEO/AEO page traces back to your company’s approved source material, checked for technical accuracy before publication—the same process covered in full on The System. Citable and correct, not just citable.
What We Won’t Promise
AI answer engines control their own citation logic, and it changes constantly. Anyone promising a guaranteed citation isn’t being straight with you. What we can build is the structured, verified, genuinely useful content that gives you a real shot at being the cited source—instead of leaving that ground uncontested to competitors who never tried.
This service is about doing the real, correct work that makes citation possible—not selling a guarantee no one can actually back.
Common Questions
GEO structures content so AI systems can find and cite it; AEO writes content to directly answer a specific question. GEO (Generative Engine Optimization) is structuring content so AI systems like ChatGPT and Perplexity can find, understand, and cite it when answering a user's question. AEO (Answer Engine Optimization) is writing content to directly answer a specific question in a clear, extractable format, including for Google's AI Overviews. They overlap heavily and are usually pursued together.
Technical buyers increasingly ask AI answer engines before running a traditional search. Technical buyers increasingly start research with an AI answer engine before ever running a traditional search -- asking things like which pump handles a specific chemical, or how two component specs compare. If an AI engine can't find verified content from your company to cite, it will cite a competitor's, or a generic source with no vendor attached at all.
No -- it optimizes for being the cited source of a direct answer, not a ranking position. No. Traditional SEO optimizes for ranking in a list of links a human clicks through. GEO/AEO optimizes for being the source an AI system extracts a direct answer from and cites -- different content structure, different signals, and success looks like a citation or mention, not a ranking position.
By publishing clear, verified, directly-quotable content backed by structured schema markup. By publishing clear, source-verified, directly-quotable answers to the specific technical and application questions buyers ask, backed by structured data (schema markup) that helps AI systems parse what the content actually says and who said it. There's no way to directly submit content to an AI model -- the only lever is publishing content the model's retrieval process is likely to find, trust, and quote.
No -- and any agency claiming a guarantee here isn't being straight with you. No -- and any agency claiming a guarantee here isn't being straight with you. AI answer engines control their own citation logic and it changes over time. What we can do is build the structured, verified, genuinely useful content that gives you a real shot at being the source they pull from, instead of leaving that ground to competitors who never tried.
See What AI Engines Currently Know About You
We’ll show you what a technical buyer sees when they ask an AI answer engine the questions your company should already be winning.
