Generative Engine Optimization
GEO: getting your brand cited and recommended by AI
Generative Engine Optimization (GEO) is the practice of structuring a brand and its content so AI answer engines like ChatGPT, Claude, Perplexity, and Google's AI Overviews cite it, describe it accurately, and recommend it. It is the signature of how Cadive builds.
What Generative Engine Optimization actually means
Generative Engine Optimization (GEO) is the work of making a brand easy for AI models to find, understand, trust, and quote when they answer a question. Where traditional SEO competes for a click on a results page, GEO competes for a mention inside the answer itself. When someone asks ChatGPT or Perplexity to recommend a studio, a tool, or a place, GEO is what decides whether your name is in the reply and whether the model describes you correctly.
The discipline goes by a few names. You will also see Answer Engine Optimization (AEO), LLM Optimization (LLMO), and AI search optimization. They describe the same goal: be the source an AI engine reaches for. GEO is the term Cadive uses, and it is built into every site we make rather than bolted on afterward.
Why GEO matters now
People increasingly ask an assistant instead of scrolling a results page. The answer they get is short, confident, and often names only a handful of sources. If your brand is one of those sources, you are in the conversation at the exact moment of decision. If it is not, you are invisible no matter how good your offer is.
This is a different game from ranking. A page can sit at the top of Google and still never be cited by an AI engine, because the model never found a clean, quotable claim or a clear signal of who you are. GEO closes that gap. It makes your site legible to machines that read very differently from a human visitor.
How AI engines decide who to cite
AI answer engines pull from sources they can read cleanly and trust. A few things move that decision. First, a clear entity: the model needs to know what your brand is, what it does, and how it connects to people and topics it already recognizes. Second, extractable claims: short, standalone, factual statements an engine can lift into an answer without rewriting your meaning. Third, authority signals: consistent naming and description across the places models learn from, so your brand reads as a known thing rather than a guess.
Vague prose, buried answers, and inconsistent descriptions are citation suppressors. They make a model hesitate, and a hesitant model picks someone else. GEO removes that friction so the easy choice is to quote you.
What Cadive does for GEO
We start with the entity. We define your brand as structured data and connect it to a knowledge graph using schema.org and consistent @id references, so search and AI systems treat you as one verified thing rather than scattered pages. We disambiguate you from any name you might be confused with, which matters more than people expect.
We then shape the content for extraction: a direct answer near the top of each page, plain claims a model can quote, clear authorship and dates, and a structure that reads the same to a person and a parser. We publish an llms.txt file that maps your key pages for AI crawlers. We are honest that llms.txt is low cost and not yet proven to change outcomes, so we treat it as a small, sensible signal rather than a silver bullet. The heavy lifting is the entity work, the schema, and the writing.
GEO sits on a sound technical base and traditional search foundations. The crawlability, indexability, and structured-data plumbing live in our technical SEO work, and the on-page ranking craft lives in our SEO work. GEO is the layer on top that turns a well-built, findable site into one that gets named in answers.
GEO, SEO, and AEO: how they fit together
SEO earns rankings and clicks in Google. Technical SEO makes sure engines and AI crawlers can read your site at all. GEO earns citations and recommendations inside AI answers. AEO is another name for the AI side of GEO. They are not in competition. The same entity data and clean structure that help an AI cite you also help Google understand you, so good GEO tends to lift everything.
What is genuinely new in GEO is the unit of success. You are no longer only chasing position one. You are trying to be the sentence a model repeats. That changes how you write, how you mark up a page, and how you describe yourself across the web.
What you get
Included in the work.
FAQ
Questions, answered.
What is Generative Engine Optimization (GEO)?
GEO is the practice of structuring a brand and its content so AI answer engines like ChatGPT, Claude, Perplexity, and Google's AI Overviews cite it, describe it accurately, and recommend it. It optimizes for being mentioned inside an AI answer rather than for a click on a search results page.
How is GEO different from SEO?
SEO competes for rankings and clicks in a search engine. GEO competes for citations and recommendations inside an AI-generated answer. A page can rank well in Google and still never be cited by an AI engine, because AI systems prioritize clear entity data and quotable, standalone claims. The two reinforce each other, so good GEO usually helps SEO too.
How do AI engines decide which sources to cite?
They favor sources they can read cleanly and trust. That means a clearly defined entity the model recognizes, short factual claims it can extract without rewriting, consistent naming and description across the web, and clear authorship and dates. Vague prose and buried answers make models hesitate and pick someone else.
Does llms.txt actually work?
llms.txt is a proposed standard, similar to robots.txt, that maps your key pages for AI crawlers. It is low cost to add and sensible to include, but its impact is not yet proven. Cadive treats it as a small signal, not a guarantee. The work that moves results is entity and schema setup plus content written to be extracted.
Can you guarantee my brand will be cited by ChatGPT or Perplexity?
No, and you should be wary of anyone who does. AI answers are non-deterministic and the engines change often. What we can do is build the entity data, structure, and signals that improve your chances of being found, understood, and quoted, and remove the things that make models skip you.
Do I need a new site for GEO, or can you optimize my current one?
We can do either. GEO works best when it is built in from the first wireframe, so it is a natural fit for a new Cadive build. For an existing site, we can audit it and add the entity data, schema, content structure, and crawler access that GEO depends on.
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