A different question is being asked
Classic SEO answers the question: does this page rank for this keyword?
GEO — Generative Engine Optimisation — answers a different question: does this page get cited when an AI system composes an answer about this topic?
These are related disciplines. They share some infrastructure. But the things that move the needle are not the same, and treating GEO as an extension of SEO produces the wrong tactics.
What GEO actually is
When a user asks ChatGPT, Perplexity, or Google's AI Overviews a question, the system does not return a ranked list of URLs. It composes a response. Sometimes it cites sources. Sometimes it does not. The question GEO is trying to answer is: how do you end up in the cited sources, or at minimum in the retrieved context that shaped the answer?
The term was formalised in a 2024 Princeton research paper that measured the effect of different content interventions on citation rates across major generative engines. The finding was that certain structural and authority signals moved citation rates significantly — in some cases by 40% or more — while others had near-zero effect.
That is the data GEO is built on. Not intuition about how AI thinks. Measured interventions on real systems.
The four signals that actually move citations
1. Structured data that makes your content machine-readable
Search engines have always rewarded structured data. Generative engines depend on it more, not less.
When a page has proper schema markup — Article, FAQPage, HowTo, Product, Organisation — the AI retrieval layer can parse what the content is, who produced it, what question it answers, and what the authoritative claims are. Pages without schema are readable but require more inference. Pages with schema are unambiguous.
The specific schema types that matter most for GEO are FAQPage (for question-answer content), HowTo (for process content), and Article with author markup (for expertise signals). These map directly to the kinds of queries generative engines field most often.
2. Source authority — the entity behind the content, not just the domain
Classic SEO's version of authority is domain rating: a composite score built from inbound link volume and quality. GEO cares about a related but different thing: entity authority.
An entity is a clearly defined, verifiable thing in the world — a person, an organisation, a publication. When Google's Knowledge Graph or an AI training corpus can identify who produced a piece of content and confirm that entity has credible, consistent signals across the web, that content is more likely to be retrieved and cited.
This means: does your organisation appear clearly on your own site, on your Google Business Profile, in Wikipedia (if scale warrants it), and on the pages where you are referenced? Is the author of your content a named, verifiable person with a consistent digital footprint? Entity clarity is an underrated GEO lever.
3. Content that answers a specific question directly
Generative engines retrieve content that answers questions. The more directly a piece of content answers a specific question — in the first paragraph, without preamble — the more retrievable it is.
This is a structural difference from classic SEO content, which often buries the answer to justify the word count. A 2,000-word article that arrives at the answer in paragraph eight is less retrievable than a 400-word article that answers the question in paragraph one and backs it with a concise explanation.
The architecture that works for GEO: question in the heading, direct answer in the first sentence, supporting evidence in the following paragraph, cite or link the source if relevant. Repeat for each sub-question. This structure is scannable for humans and parseable for AI retrieval systems simultaneously.
4. Presence in the training corpus — the long-term lever
AI systems are trained on data. The data includes the web, but it also includes books, academic papers, structured databases, and sources that have been deliberately indexed as high-authority.
Getting cited by existing high-authority sources — industry publications, academic references, news coverage — puts your content and your entity into the training corpus over time. This is the slowest lever but the most durable.
What GEO is not
It is not keyword density. Generative engines do not work by matching keywords to content. They work by understanding meaning, entity relationships, and source credibility. A page stuffed with keyword variations is not more retrievable than a page that answers the question once, clearly.
It is not a content volume game. Publishing 200 thin articles does not build entity authority. It distributes your signal across a large surface area of low-quality pages, which makes the entity harder to interpret, not easier.
It is not a replacement for classic SEO. Pages still need to be indexable, performant, and linked. GEO is a layer on top of a functioning SEO foundation, not a substitute for one.
The one thing to do today
If you are going to do one thing without hiring anyone or paying for tooling, do this: add FAQPage schema to your three highest-traffic pages.
Identify the question each page is actually answering. Write a direct, one-paragraph answer to that question. Mark it up with FAQPage schema. Submit the URLs to Google Search Console for reindexing.
This takes two to three hours on a site you can edit. It makes those pages structurally readable to every generative engine that indexes your domain. It costs nothing. And it is the single intervention with the clearest documented uplift in the GEO research to date.
The window where GEO is a competitive advantage is still open. In 12 months it will be table stakes. The clients we are working with on this now are getting ahead of it while most of their competitors are still treating it as a future concern.