What is generative engine optimisation?

Generative Engine Optimisation (GEO) is the practice of optimising your website content, structured data, and entity signals so that generative AI platforms like ChatGPT, Google Gemini, and Perplexity cite and recommend your brand when generating answers to user queries. GEO was formally defined in a 2024 research paper by Aggarwal et al. from Princeton, Georgia Tech, IIT Delhi, and the Allen Institute for AI, which found that GEO techniques can increase content visibility in AI-generated responses by up to 40%.

Yes, GEO is a real and established practice. It was formally defined in a peer-reviewed research paper titled 'GEO: Generative Engine Optimization' by researchers from Princeton University, Georgia Tech, IIT Delhi, and the Allen Institute for AI, published in 2024. The study demonstrated that specific optimisation techniques can measurably improve how often content is cited by generative AI models. GEO is now offered as a service by specialist agencies including Brain Buddy AI.

Will SEO be replaced by AI?

SEO will not be replaced by AI, but it is evolving to include AI-specific optimisation. Traditional SEO focused on Google rankings remains important, but AI search queries grew 527% year-over-year (Semrush, 2024). SEO is expanding to include AEO (answer engine optimisation) and GEO (generative engine optimisation) as essential components. The future of search optimisation requires all three disciplines working together, not one replacing the others.

Can a beginner do GEO?

Yes, beginners can implement basic GEO techniques. Start with: adding FAQ schema to your most important pages, structuring content with question-and-answer headings, ensuring your business information is consistent across the web, and creating content that directly answers questions in your industry. More advanced GEO techniques like entity authority building, knowledge graph optimisation, and AI citation monitoring benefit from professional expertise. Brain Buddy AI offers managed GEO services for businesses that want expert implementation.

What are the steps of GEO?

The key steps of GEO are: 1) Audit your current AI visibility by querying ChatGPT, Gemini, and Perplexity with your target keywords. 2) Implement comprehensive schema markup (Organization, FAQPage, Article, Service, Person). 3) Structure content with direct answers, question-format headings, and cited statistics. 4) Build entity authority through consistent brand information across the web. 5) Create authoritative content with external citations. 6) Monitor AI citations and iterate based on results.

What is the difference between GEO and SEO?

SEO optimises for ranking in Google's traditional search results through keywords, backlinks, and technical optimisation. GEO optimises for how generative AI models select and cite sources when producing answers. Key differences: SEO focuses on keywords and backlinks while GEO focuses on entity authority and structured data. SEO success is measured by rankings and clicks while GEO success is measured by AI citations. SEO targets Google primarily while GEO targets ChatGPT, Gemini, Perplexity, and other AI platforms simultaneously.

How long does GEO take to work?

GEO typically shows initial improvements in AI citations within 4 to 8 weeks, with significant and consistent results in 3 to 6 months. Schema markup and structured data changes can produce faster results as AI models reindex your content. The timeline depends on your existing domain authority, the competitiveness of your industry, and how comprehensively GEO is implemented across your site.

Is GEO the same as AEO?

GEO and AEO are related but distinct. AEO (Answer Engine Optimisation) focuses on appearing as the direct answer in featured snippets, knowledge panels, Google AI Overviews, and voice search. GEO (Generative Engine Optimisation) focuses specifically on getting cited by generative AI platforms like ChatGPT, Gemini, and Perplexity when they produce multi-paragraph answers. GEO can be considered a subset of AEO that targets generative AI specifically, while AEO covers all types of answer engines.

No. 11 / What is GEO

GEO / AI Visibility / Deep Explainer

The discipline of being cited by machines that write.

Generative Engine Optimisation, or GEO, is the practice of structuring your digital presence so that large language models and generative AI engines cite your business when they produce answers. It is not a rebrand of SEO. It is a fundamentally different discipline that optimises for a fundamentally different surface: the generated response.

Section 01

What GEO actually is.

GEO is the strategic work of making your content, your brand, and your entity findable and citable by generative AI systems. When a user asks ChatGPT, Perplexity, Google Gemini, or Claude a question, the model retrieves context from its training data, from live web retrieval, or from both. GEO is the work that ensures your content is in that retrieval set and formatted in a way that the model can extract, attribute, and cite. It covers structured data, entity authority, content formatting, source credibility signals, and technical accessibility for AI crawlers. The term was first formalised in academic research in 2024, but the underlying practices have been evolving since large language models started consuming web content at scale.

Section 02

How GEO differs from SEO and AEO.

SEO optimises for ranking in a list of links. AEO optimises for appearing in featured answers and answer boxes. GEO optimises for being cited inside a generated, synthesised response. The distinction matters because the mechanisms are different. SEO relies heavily on backlinks, keyword relevance, and crawl efficiency. AEO relies on answer-shaped content, schema markup, and question-matching. GEO relies on entity clarity, training data presence, retrieval-augmented generation (RAG) compatibility, and structured formatting that models can parse without hallucinating. In practice, all three overlap. A well-optimised GEO strategy inherits the best of SEO and AEO. But GEO adds a layer that neither of the other two fully address: optimising for the model's internal retrieval and generation pipeline, not just the search engine's ranking algorithm.

SEO target: the search results page (ten blue links).
AEO target: the featured answer or answer box above the results.
GEO target: the generated response from an AI model, with or without a source link.

Section 03

Which engines GEO targets.

GEO is not limited to one platform. It targets every engine that generates answers from retrieved or trained content. Google AI Overviews are the most visible surface, appearing above traditional results for an increasing percentage of queries. ChatGPT with browsing enabled retrieves live web content and cites sources inline. Perplexity operates as a dedicated answer engine, always citing its sources with numbered references. Claude uses training data and, when tools are available, can retrieve web content. Microsoft Copilot integrates Bing search results into generated answers. Each engine has slightly different retrieval preferences, citation behaviours, and content formatting expectations. A robust GEO strategy accounts for all of them rather than optimising for a single platform.

Google AI Overviews: triggered by informational and commercial queries.
ChatGPT: retrieves live web content when browsing is enabled.
Perplexity: always retrieves and always cites with numbered source links.
Claude: draws primarily from training data, with growing retrieval capabilities.
Microsoft Copilot: integrates Bing search into generated responses.

Section 04

How to start with GEO today.

The first step is an audit. You need to know where your brand currently appears (and does not appear) in AI-generated answers across the major engines. From there, the work falls into four categories. First, entity authority: make sure your business identity is consistent, well-structured, and present across authoritative sources. Second, content formatting: restructure your highest-value pages so they answer questions directly, use clear headings, and present information in a shape models can extract. Third, structured data: implement schema markup that gives machines an unambiguous understanding of what your pages contain. Fourth, technical accessibility: ensure AI crawlers can reach your content, read your structured data, and find your canonical pages without obstruction.

Audit your current AI visibility across all major engines.
Consolidate your entity identity across directories, knowledge bases, and structured data.
Reformat key content pages to be answer-first and extraction-friendly.
Implement comprehensive schema markup for all service and product pages.
Publish a llms.txt file to guide AI crawlers to your best content.
Monitor and iterate monthly based on citation tracking data.

Section 05

Why GEO matters more every quarter.

The share of queries answered by AI-generated responses is growing. Google AI Overviews now appear for a significant portion of informational and commercial queries. ChatGPT and Perplexity usage continues to climb. Younger demographics are increasingly starting their research in AI tools rather than traditional search. For businesses, this means that optimising only for the ten blue links leaves a growing slice of visibility on the table. GEO is not a future concern. It is a present reality. The businesses that start now will build the entity authority, content structure, and technical foundation that compounds over time, while their competitors are still debating whether AI search is real.

Common questions

Frequently asked.

Q.01Is GEO just a new name for SEO?

No. GEO and SEO share foundational elements like content quality and domain authority, but they target different surfaces and require different technical work. SEO optimises for ranking in a list. GEO optimises for being cited in a generated answer. The skill sets overlap, but they are not identical.

Q.02Do I need to stop doing SEO to start doing GEO?

Absolutely not. SEO remains the foundation. GEO is an additional discipline that layers on top. Think of SEO as the base layer that drives organic traffic, and GEO as the extension that ensures you also appear in AI-generated answers. Brain Buddy AI runs both in parallel.

Q.03How long does GEO take to show results?

Initial improvements in AI visibility can appear within four to eight weeks, particularly for entity authority work and structured data implementation. Full compound results typically take three to six months, similar to the timeline for SEO but with faster feedback loops because AI citation data updates more frequently than traditional ranking data.

Q.04Can a small business benefit from GEO?

Yes. In many ways, GEO levels the playing field. AI engines do not rank by domain size alone. They cite the source that most clearly and authoritatively answers the question. A small business with well-structured, expert content and strong entity signals can be cited ahead of a much larger competitor.

Chapter 07 / The closing word

See how visible your business is to the engines that generate answers.

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