Generative AI engines are no longer a curiosity. They are already the gateway to information. A silent but radical revolution. The rules of the SEO game are changing, and fast. Generative Engine Optimization (GEO) is becoming a must for brands that want to remain visible. But the discipline is still in its infancy. One burning question remains: who will really be able to dominate visibility in this new universe?
Generative AI, the new research reflex
More and more people (especially the younger generation) no longer go through Google. They open ChatGPT, Perplexity or Gemini directly. They search for the latest news, information on a product or brand, or recommendations. In just a few months, these generative engines have become the natural and fast reflex for information research.
It's not a fad. It's a shift in usage. The classic search engine is becoming a secondary tool, relegated behind the conversational assistant. AI doesn't just provide links, it delivers structured, contextualized and sometimes personalized answers. For the user, it's simpler, faster and more efficient.
For brands, on the other hand, the challenge is immense: how can they be sure of being present in a generated response when the surfer no longer clicks on a list of results, but is content with the first formulation proposed by the AI?
A business model to be invented
Behind this revolution in usage lies a major problem: economic viability. OpenAI, Anthropic and others are still losing millions every day to keep their services open to the general public. These colossal models cost a fortune in computation.
They have two options: increase subscriptions, or monetize responses and redirects. The second scenario is almost inevitable. Just as Google built its empire on advertising and monetizing redirects, generative engines will tomorrow integrate sponsored content, affiliated recommendations and privileged locations.
This means that part of visibility will no longer be linked solely to relevance, but also to the ability to invest. Brands will have to juggle technical optimization and budgetary trade-offs to remain present in this ecosystem.
From SEO to GEO: the transformation of search engine optimization
GEO doesn't appear out of thin air. It's a continuation of SEO, but with different mechanics. SEO aimed to seduce Google's crawlers with metadata, HTML structure and backlinks. GEO, on the other hand, seeks to maximize the likelihood of a brand being directly quoted in an AI-generated response.
The aim is no longer to climb the link rankings, but to become a legitimate source in the actual writing of the response. The battle is no longer fought in the code alone, but in the perception of the brand by generative models. Technical criteria are evolving: credibility of sources, interoperability of data, exposure via APIs or agents, and production of multimodal content.
This change requires brands to rethink their content strategy and data architecture to remain visible in a world where search is filtered by artificial intelligence.
GEO's technical levers
What levers can you activate to exist in this new ecosystem?
- Presence in authoritative sources: Wikipedia, Reddit, specialized sites, recognized forums.
- Thematic rankings, those "Top 10" that increase the likelihood of being included in a response.
The aim is to be present in databases or on sites likely to be consulted by models.
But we also need to rethink semantic structuring through strategic dissemination, because AI will look for "established" or often-mentioned references. For example:
- Backlinks and cross-referencing, reinterpreted to enrich a knowledge graph rather than to please a classic crawler.
- Production of multimodal content: articles, videos, podcasts, infographics.
- The opening of APIs and AI agents enabling generative models to access brand information directly.
GEO requires an integrated approach: technical, editorial and strategic all at once.
Tools for existence
Optimizing is not enough. You have to measure and adjust. Brands will need to monitor their visibility in generative engines, compare their position with that of competitors, and identify weak signals about their reputation.
Real-time monitoring tools and automated citation analysis are becoming indispensable. They will enable observations to be transformed into concrete recommendations to influence generated responses and consolidate brand presence.
Every day you wait represents a risk: brands that test today gain a lasting strategic advantage. Inaction means missing out on tomorrow's generative responses.
A discipline in the making
GEO is still uncharted territory, there are no standards and the rules are in flux. And it's up to a few private players to set tomorrow's visibility criteria.
It's both an opportunity and a threat. An opportunity for the pioneers who will test before the others. A threat to those who lag behind. The time for GEO is not ten years away, it's now.
So the question is no longer who will be visible, but who will shape the visibility of tomorrow.
Jérôme Malzac
Innovation Director
Micropole, a Talan company
