What is Generative Engine Optimization (GEO)?

Generative Engine Optimization : Definition

Generative Engine Optimization (GEO) refers to the set of techniques designed to ensure that your content is understood, selected, and cited by generative AI search engines (ChatGPT, Perplexity, Gemini, etc.), rather than simply ranking well in traditional SERPs (Search Engine Results Pages) such as Google, Bing, and Yahoo.

It is, in a sense, “SEO for generative engines,” with one central goal: to become an authoritative source that language models incorporate into their responses.

GEO is increasingly being discussed as a natural evolution of SEO, alongside related concepts such as Answer Engine Optimization (AEO), Artificial Intelligence Optimization (AIO), and LLM Optimization (LLMO). What all these approaches have in common is that they treat language models as a new “front” for visibility, just as Google Search was in the 2000s.

Why is GEO emerging now?

The rise of Generative Engine Optimization is directly linked to the growing prominence of generative AI and AI-enhanced search experiences. Since 2022, with the arrival of ChatGPT among the general public, search behavior has shifted toward synthetic, contextualized, and conversational responses rather than simple lists of links.

AI search engines (ChatGPT, Google SGE, Bing Copilot, Perplexity, etc.) no longer simply rank pages: they aggregate, interpret, and rephrase content from multiple sites to produce a single answer, often accompanied by a few clickable sources. In this new context, a website may very well lose direct organic traffic even if its content is used “behind the scenes” (as a source for the responses provided), hence the need to optimize so as to be explicitly cited by these systems.

Some Key Figures on the Rise of Generative Engine Optimization

Optimization for generative search engines is gradually emerging as a new driver of visibility for brands. Several metrics illustrate the scale of this shift in search behavior.

According to France Num, nearly 44% of the workforce in France already uses generative artificial intelligence tools (such as ChatGPT, Gemini, or Copilot) in their daily work or to search for information. Furthermore, nearly 20% of information requests now go through AI engines rather than traditional search engines.

These new uses are profoundly changing the mechanisms of online visibility. Whereas traditional search engines provided a list of results, generative search engines directly produce a summary based on multiple sources.

In this context, brands must gradually adapt their content so that it can be understood, cited, and utilized by these systems. This is precisely the goal of GEO: to enable content to be identified as reliable sources in the responses generated by artificial intelligence.

GEO vs SEO: Similarities and Differences

Generative Engine Optimization (GEO) does not replace SEO. It builds on the traditional fundamentals of search engine optimization (technical aspects, content, popularity), but shifts the focus to how artificial intelligence understands and reuses content.

A Different Goal

• Traditional SEO aims primarily to rank a page as high as possible in search results (SERPs) in order to drive traffic.
• GEO, for its part, aims to ensure that a company’s content is understood, selected, and cited in the responses generated by artificial intelligence.

A Different Unit of Visibility

• In SEO, visibility depends primarily on the ranking of an entire page in search results.
• In a GEO framework, generative engines can extract and reuse a specific passage, paragraph, definition, or piece of data to construct their response.

Evolving Relevance Signals

• Historically, SEO has relied on several well-defined signals: the presence of keywords, the quality of internal linking, the volume and relevance of backlinks, and certain behavioral signals such as click-through rate and time spent on a page.
• With the emergence of GEO, the criteria are shifting slightly. Search engines and conversational assistants now place greater emphasis on semantic clarity, content structure, source credibility, and signals of expertise (E-E-A-T). In this context, media relations take on an additional strategic dimension. Quotes in reputable media outlets, expert opinion pieces, and brand mentions in editorial publications help reinforce a company’s legitimacy in the eyes of search engines and AI models. In other words, media visibility no longer merely boosts brand awareness—it also helps consolidate the credibility signals that now influence content discovery and recommendations.

A Different User Interface

• SEO operates within a link-based environment.
• Generative models, on the other hand, provide a response written directly within the interface, along with a limited number of sources.

A more straightforward user experience

• In a typical search using a search engine, the user views several pages before finding the information they are looking for.
• With generative models, information is often provided directly in a synthetic response within a conversational interface.

A successful strategy combines both: optimizing SEO to maintain visibility in SERPs, and leveraging GEO to ensure a presence in generative responses, which are capturing an increasing share of users’ attention.

How can you incorporate GEO into your marketing strategy?

GEO should not be treated as a silo, but as a natural extension of your content strategy.

Beyond technical optimizations, it’s first and foremost a matter of building brand authority. AI models don’t rely on isolated content, but on a set of signals: expert publications, media mentions, educational content, and identified public statements.

In other words, what makes the difference isn’t just what you publish. It’s the consistency of your entire editorial ecosystem.

This is the logic behind the framework we use at Oxygen: a structured approach to authority, designed to meet both audience expectations and the logic of generative AI.

Establishing Authority: A Prerequisite for GEO

To stand out among the generated responses, a brand must be clearly associated with specific topics. This requires moving beyond a one-off approach to building a solid foundation of expertise.

In practical terms, this involves four complementary dimensions:

• Define Areas of Authority
  Identify 3 to 5 topics in which the brand should be recognized as an authority, and focus editorial efforts on these areas.
• Building a Collection of Expert Content
  Produce in-depth content (analyses, guides, FAQs, studies) that serves as a reference on these topics.
• Strengthen External Credibility
  Increase the number of public appearances in third-party settings: media, opinion pieces, interviews, and editorial partnerships.
• Structuring Content for Readability
  Organize information clearly (tagging, prioritization, cited sources) to make it easier to interpret, both by humans and by AI.

This framework makes it possible to align existing strategies—such as media relations, content, social media, and influencer marketing—with the new visibility approaches driven by AI.

Practical GEO techniques to implement

GEO relies on the activation of several types of signals. The goal is not only to be visible, but to be recognized as a reliable, identifiable, and evidence-based source.

Oxygen helps you activate these various signals by coordinating content, media relations, and expert commentary in a cohesive strategy.

Signs of Authority: Establishing Expertise

Before a brand can be picked up by the media, it must be perceived as credible. This requires authentic and reusable content: expert opinion pieces, interviews with executives, studies, or proprietary data.

These formats play a key role because they are both picked up by the media… and incorporated into the datasets used by AI.

In this context, LinkedIn acts as an amplifier. It allows you to structure, reinforce, and embody this expertise over time—provided you prioritize content that is clear, informative, and directly useful.

Identity Elements: Making the Brand Clear

AI systems need to be able to understand who you are, what you do, and what reliable information to rely on.

This requires consistency in the information across your various online presence points: corporate website, service pages, educational content, public profiles, and professional platforms.

The challenge is to establish a consistent digital identity.

Signs of Authenticity: Grounding the Brand in Reality

Finally, a brand gains credibility when it is associated with real-world uses. Customer reviews, comparisons, user experiences, and community discussions: this content complements official messaging and helps generate more nuanced responses from AI.

It plays an increasingly important role, particularly in queries related to recommendations or evaluations.

GEO: A Sustainable Evolution of SEO

Generative Engine Optimization is gradually establishing itself as an essential component of digital marketing, just as SEO did with the rise of Google.

Brands that start structuring their content for generative engines now are giving themselves a decisive head start: they will be seen as legitimate sources by the time these interfaces become the primary entry point for search for the majority of users.

In practice, working on GEO means taking the already established fundamentals—editorial quality, clarity, proof of expertise, and the structure and consistency of the content ecosystem. The difference today is that the challenge is no longer just to please a ranking algorithm, but to appeal to systems capable of reading, understanding, and rewriting your content to present it directly to your future customers.

The Oxygen teams help brands evolve their content strategies by combining brand content, media relations, social media, and editorial expertise to strengthen their presence in emerging search environments.

Contact us to discuss your GEO strategy.