Over the past few years, the way people search for information has fundamentally changed. In the past, finding an answer usually meant typing a query into Google or Bing. Today, you simply ask a question to an artificial intelligence system, which performs the search, synthesizes the results and delivers an immediate, personalized answer. Tools like ChatGPT, Perplexity or the French unicorn Mistral AI are on track to replace “traditional” search engines that hesitate to jump onto the AI high‑speed train.
This shift is profoundly transforming digital marketing, which used to be dominated by keyword‑based search engine optimization. Companies can no longer be satisfied with appearing on the first page of search results. They must also adapt their online presence to AI systems in order to be cited by them. This context marks a transition from traditional SEO to GEO which is gradually emerging as a key lever for online visibility.
From search to dialogue : the rise of GEO
GEO has developed in a context where information retrieval is no longer limited to clicks and hours of reading. Today, searching for information increasingly takes the form of a dialogue. A human asks a question and an AI is tasked with providing a clear answer. To do so, the AI analyzes large databases, web articles, specialized reports and even social media content. It then filters, summarizes and ranks the information it considers the most credible and relevant before generating a final answer.
For a company to appear in an AI’s answer, it must optimize its online content so that the AI can identify, understand and reuse it. Simply relying on keywords for search algorithms or crawlers like those used by Google is no longer enough. Content must be carefully structured and its credibility reinforced by following specific rules – those of GEO.
The goal of GEO is therefore to produce content that is clear, well‑structured and trustworthy enough for AI systems to detect it, interpret it and decide to incorporate it into their answers. This new approach goes beyond traditional SEO, which mainly relies on site architecture and speed, mobile optimization, meta descriptions and backlinks to improve rankings on a search results page. In short, GEO responds to emerging user behaviours. Mastering it is becoming a necessity for companies.
How to optimize your presence in AI answers with GEO
Implementing a GEO strategy generally revolves around three pillars.
The first is creating clear, expert and answer‑oriented content. AI systems favour logically structured content, backed by verifiable sources, that directly addresses a specific question. As a result, it is often more effective to write in a Q&A or how‑to format than to publish a long and dense article.
The second pillar concerns data optimization so that content is machine‑readable. To interpret a page, AI systems rely heavily on metadata and technical schemas. It is therefore important to use semantic HTML tags such as headings, lists, tables or blockquotes. The aim is to signal the key elements of the content so that the AI can more easily extract or cite them.
Finally, the third pillar involves monitoring how often, and in what way, a brand appears in AI answers, in order to adjust over time. Several tools now make it possible to track how a brand or website is mentioned by conversational AIs. These tools help refine content and better understand how AI systems operate, by providing audits of AI visibility, recommendations on content and structure, and signals of authority. Companies without deep internal AI expertise would benefit from using at least one of these solutions.
Paid GEO: is advertising coming to generative AI ?
Until recently, direct advertising was not truly present in generative AI answers. Microsoft Copilot, Gemini and Claude, for example, still do not offer any mechanism to buy ad placements or ad formats embedded directly within conversational answers.
Google’s position is more hybrid. For now, advertisers cannot sponsor a specific AI‑generated answer. However, Google has confirmed that it is experimenting with sponsored content inside AI Overviews. Concretely, this means that Search or Shopping ads can appear within an AI‑generated overview, in a clearly labeled “sponsored” section. These experiments mark a first step toward the systematic monetization of AI‑enhanced answers.
Perplexity AI, by contrast, has positioned itself as a pioneer. This AI‑powered search engine is one of the first to offer advertising opportunities to the general public in the form of sponsored follow‑up questions and side‑panel media ads. Sponsored questions invite the user to continue the conversation with the AI by clicking on a suggested, clearly labeled prompt related to their initial query. The answer generated then highlights a partner brand’s products or arguments, while remaining transparent about the commercial nature of the interaction. Media ads appear in the side panel in a contextual but non‑intrusive way. With this model, Perplexity is laying the groundwork for native advertising in AI search, an early form of paid GEO.
ChatGPT followed a different path. Until now, it was not possible to pay to appear in answers or to insert sponsored messages. Sam Altman even warned that some forms of advertising would be “catastrophic”, while acknowledging that a carefully designed ad model might eventually be tested.
That position has now evolved. On 16 January 2026, OpenAI announced that it would begin testing advertising in the United States for ChatGPT’s free and Go tiers, with ads displayed below the main answer in a clearly labeled sponsored section. These ads will not appear for users under 18, nor around sensitive topics such as health or politics, and paid subscriptions will remain ad‑free. This shift confirms that advertising is on its way to becoming a normalized lever in the generative AI ecosystem.
Sources :
https://www.searchenginejournal.com/openais-sam-altman-raises-possibility-of-ads-on-chatgpt/560107/
https://tipsheet.ai/news/openai-altman-ads-2/
https://openai.com/fr-FR/index/our-approach-to-advertising-and-expanding-access/
