GEO vs SEO: Is Generative Engine Optimisation Just a New Name for What You’re Already Doing?

Four acronyms, one job. SEO, AEO, GEO and AIO all exist to answer the same question: will the right people find this content? SEO is the foundation, crawlable, indexed, authoritative. AEO builds on it to win the direct-answer box, featured snippet, or voice response. GEO builds on that again to get your brand cited inside an AI-generated answer. AIO is the umbrella term for optimising for AI-driven discovery generally. None of them replace SEO. All of them depend on it.

Every few years, a new acronym lands in the marketing world and sends everyone scrambling to rewrite their strategy decks, plans of action and rework the year’s goal. 

GEO, a.k.a Generative Engine Optimisation, is the latest. And if your LinkedIn feed is anything like mine, it has already been declared the death of SEO, the future of digital marketing, and a discipline you absolutely can’t afford to ignore.

But, here’s the thing: you probably already do most of it.

I am not here to dismiss GEO or tell you AI search is overhyped. In fact, it’s evident that the interfaces have changed, user behaviour is shifting, and the way brands earn visibility is evolving. 

All of that is very much real. But the foundational logic, the thing that actually determines whether your content gets surfaced by an AI or not, is the same as that which has governed search for years. 

How do we know? Google told us so!

Generative Engine Optimisation refers to the practice of optimising your website’s content so that it gets cited, referenced, or surfaced within AI-generated responses. Think Google’s AI Overviews, ChatGPT, Perplexity, and similar platforms.

Where traditional SEO focuses on ranking a webpage to earn the click, GEO is about ensuring your brand, content, and expertise are included directly within the AI-generated answer. Increasingly, users are finding what they need without leaving the search results page, contributing to a growing trend of rising impressions but declining click-through rates (CTR) and organic traffic as AI Overviews and generative search experiences become more prevalent. Recent research has found that AI Overviews can reduce organic clicks by as much as 38%, reinforcing the shift from click-driven search to answer-driven discovery. In this environment, your content doesn’t just need to rank, it needs to become part of the answer itself.

Now, this is a genuinely meaningful shift in how visibility works. When someone asks an AI assistant a complex question and it synthesises an answer from multiple sources, appearing in that answer carries real value, even without a direct click. Brand exposure, authority signalling, and assisted conversions all still happen. The journey just looks different to what we are used to.

The reason GEO has generated so much noise is straightforward. AI search has grown fast. Google’s AI Overviews now touch a significant proportion of search queries, and platforms like ChatGPT and Perplexity have become go-to research tools for millions of users. 

For marketers used to measuring success in traffic and rankings, the landscape looks unfamiliar. The instinct is to treat this like a new discipline requiring a new playbook, and whilst that instinct is understandable, it is also mostly unnecessary.

In May 2026, Google published its official guidance on optimising for generative AI features in Search. It is worth reading in full. But if you want the headline: Google does not treat GEO as a separate discipline. 

Their documentation states that AEO (Answer Engine Optimisation) and GEO are “terms you may see used to describe work specifically focused on improving visibility in AI search experiences” and that from Google Search’s perspective, “optimising for generative AI search is optimising for the search experience, and thus still SEO.”

That isn’t a throwaway line. It is Google explicitly telling the industry that there is no secret AI algorithm to crack, no entirely new index to optimise for, and no new rulebook to learn. The generative AI features on Google Search are rooted in core Search ranking and quality systems

This matters enormously for where you invest your time and budget. If GEO were a genuinely separate channel requiring a separate strategy, that would be a significant resource commitment. The reality is that a well-executed SEO strategy, in most cases, is the best GEO strategy available to you right now.

To understand why SEO fundamentals remain the foundation, it helps to understand what’s actually happening under the hood of AI search.

When you run a query that triggers an AI Overview in Google, the system does not generate a response from scratch. It uses retrieval-augmented generation (RAG) , a technique that improves the quality, accuracy, and freshness of AI responses by relying on core Search ranking systems to retrieve relevant, up-to-date web pages from the Search index. The model then uses those retrieved pages to generate its response, with prominent, clickable links back to the sources.

The practical implication however, is direct: if your content isn’t indexed, not crawlable, and not deemed authoritative by Google’s existing ranking systems, it will not be retrieved. 

It can’t appear in an AI Overview that never pulled it in to begin with. Your GEO performance is, at the first layer, entirely dependent on your technical SEO health.

AI Mode (Google’s more conversational search experience) works in the same way. It draws from the same index and applies the same quality signals, using more complex multi-step reasoning to handle longer and more nuanced queries. The foundation remains the Search index. 

Two technical concepts are worth understanding here simply because they make the SEO and GEO relationship concrete.

• Retrieval-Augmented Generation (RAG) is the process by which AI systems pull in live, external information to support and ground their responses, rather than relying solely on what the model was trained on. In Google’s case, this means AI Overviews are built on content retrieved from the live Search index. The retrieval step is essentially a search and the factors that determine what gets retrieved are the same that determine what ranks.
• Query fan-out is a related mechanism. When a user submits a complex question, the AI generates multiple related sub-queries to request more information and fetch additional relevant search results. For example, a query about fixing a weed-covered lawn might fan out into sub-queries about the best herbicides, removing weeds without chemicals, and preventing weeds.

Being highly relevant and authoritative on a focused topic cluster or clusters naturally positions you for fan-out retrieval. You don’t need to create content for every conceivable sub-query variation. You do, however, need to be the most credible, well-structured source on your subject area. That is, again, the brief that good SEO has always set.

Google’s official guidance includes a section explicitly labelled “Mythbusting generative AI search”, which isn’t something a company publishes (unless it is watching a lot of people waste time on the wrong things). 

A few of the tactics circulating in the industry that Google has confirmed are unnecessary or ineffective:

“Chunking” content. The idea that you should break your content into small, discrete sections to help AI understand it. Google’s systems can understand the nuance of multiple topics on a page and show the relevant piece to users.

Rewriting content for AI systems. You don’t need to write in a specific way just for generative AI search. AI systems can understand synonyms and general meanings in order to connect users with content that might not use the precise same words. You also don’t need to obsess over every long-tail variation or keyword insertion.

Seeking inauthentic mentions. Some have suggested pursuing placements and references across third-party sites specifically to increase the likelihood of AI citation. Google’s generative AI features rely on the same core ranking systems that identify high-quality content and block spam. Essentially meaning inauthentic mentions are not as helpful as they might seem, and the systems are specifically built to discount them.

To be clear, me stating that GEO is largely built on SEO isn’t the same as saying nothing has changed. A few things have shifted meaningfully and massively.

The user journey is less linear. More queries are now resolved within the search experience itself. Informational questions , “how does X work,” “what is the difference between Y and Z” are increasingly answered by AI Overviews without a click. 

Authority and brand signals carry more weight. In an AI-mediated search experience, where the response synthesises from multiple sources, appearing at all is partly a function of how well-known and trusted your brand is as an entity. E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) are already a significant factor in traditional SEO. With the AI experience, it becomes even more central. Brands that have invested in thought leadership, original research, first-party data and insight, and genuine subject matter expertise are better positioned than those relying on high-volume, low-differentiation content.

Agentic experiences are an emerging frontier. Google’s guidance does acknowledge one genuinely new area worth watching: AI agents. 

These are autonomous systems that can perform tasks on behalf of users, such as booking a reservation or comparing product specifications. Browser agents may access your website to gather data they need to complete tasks, analysing visual renderings and interpreting the accessibility tree. 

This is an area where technical readiness, clear page structure and accessible design starts to extend beyond traditional SEO scope. It is early days, but most definitely worth keeping an eye on if your site.

If all of the above is true (and Google has been fairly explicit that it is) then the practical question isn’t “what new GEO strategy do I need” but “am I doing SEO well enough that AI search rewards me naturally?”

A few priority areas worth assessing:

Technical foundations. Is your site crawlable and indexable? Are Core Web Vitals in good shape? Is structured data implemented correctly? These are not GEO-specific requirements. They are the baseline that determines whether your content is even eligible to be retrieved by AI systems. If you haven’t run a full technical SEO audit recently, that is the place to start.

Content quality and depth. Creating content that people find unique, compelling, and useful will likely influence your website’s presence in generative AI search more than any other single factor. 

A first-hand review or original analysis provides a unique perspective based on direct experience, whereas a summary of existing content simply restates information already available elsewhere. The bar for “good enough” content has risen. Commodity content (generic listicles, thin overviews, repackaged information that any AI could produce) is far less likely to earn retrieval and citation. Original research, genuine expert perspectives, and well-evidenced analysis are what stand out.

Entity and authority building. Being recognised as a credible entity in your field through consistent publishing, citations from trusted sources, and a coherent brand presence across the web, supports visibility in AI responses in a way that goes beyond individual page rankings. This is where traditional SEO and GEO genuinely intertwine: both work to reward brands that have done the work to become known in their respective space.

Intent alignment. With AI search filtering informational queries more aggressively, the content that still consistently drives traffic and pipeline tends to be content that serves commercial and transactional intent well.

GEO is real in the sense that the search landscape is changing. But, it isn’t real in the sense of being a separate discipline altogether, requiring a separate strategy built on different foundations.

From Google’s perspective, optimising for generative AI search is still SEO. The same quality signals, the index and core principles remain at play. What has shifted is the interface, the user behaviour, and the emphasis placed on certain signals like authority, originality, and entity recognition.

The brands that will win in AI search are the ones that are already doing SEO properly.

If that sounds familiar, it should. The brief has not changed as much as the headlines suggest.

Want to understand where you stand? Get in touch with the team at J2X.