With the rise of ChatGPT, Gemini and Perplexity, online visibility is no longer just about search results. Companies must now learn to exist in response engines. For Emmanuel de Vauxmoret, expert at the Paris Court of Appeal, certain practices already make it possible to improve your chances of being cited by AI. Here are three still little-known levers based on field experience.
Uniqueness as a signal of trust: why original data triumphs
In a web saturated with generated content automatically, the generic data has become invisible to AI. Content that simply reformulating what already exists has no added value for a model that already has this information.
Conversely, content that include proprietary statistics, quantified case studies or expert quotes third party see their visibility increase by +40% in the generated responses.
Two reasons explain this phenomenon: first, LLMs value the uniqueness of information ; then, the external references give credibility to the content in the eyes of the model, who seeks to rely on verifiable sources.
It is precisely this logic of “city” thatUplix sought to automate with internal tools like “Quote Maker”designed for calibrate content into authority sources. The lesson is clear: to be taken over, you must produce what the AI cannot guess alone.
Anchoring on “reservoirs of trust”: the strategy of source platforms
Many companies neglect the information ecosystem in which AI is immersed. However, the LLM don’t browse the web randomly : they rely on pillars of authority. Only 11% of domains appear on both ChatGPT and Perplexity, demonstrating that each engine has its preferences.
Research shows that Wikipedia and Reddit alone represent more than 25% of ChatGPT quotes in the United States. Wikidatameanwhile, has become the dominant signal in critical sectors like hospitality or ERP software. An effective GEO strategy is no longer limited to your website: it requires an active presence on these third-party platforms.
Whether through contributions on specialized forums, maintaining a Wikidata page or managing your e-reputation on referring sites, you must anchor your brand where models come to draw their confidence. As the Uplix agency understood, which now supports its clients on their mentions in Reddit for example and their visibility in AI is a global ecosystem which goes far beyond the framework of the showcase site.
“Answer First”: Structure for Immediate Extraction
Language models (LLMs) do not function like librarians; these are extraction motors. They are looking the most “cuttable” passage ” And directly usable For satisfy the user in a minimum of time.
According to Emmanuel de VauxmoretCEO UPLIX, Data analysis shows thata short answer And autonomous at the opening of each section, before any context or development, increases the probability of being cited by up to +115%. In practice, this means adopt an editorial structure reversed: the response must be immediate. Don’t drown your argument in three introductory paragraphs.
To report these crucial passages to algorithmsit is imperative touse semantic markup adequate, such as FAQPage or the Speakable in JSON-LD. It is by making the machine’s reading work easier that you become his first choice.
Towards a strategy of living authority
The GEO is not a quest for volumebut one quest for precision. To go back to the AI agents, it is no longer enough to be visible ; it’s necessary be useful by machine. By structuring your content for extraction, producing proprietary data and occupying source platforms, you transform your brand in an essential brick of knowledge.
In this environment, the success is the reward of those who will have been able to align their expertise with the way in which AI reasons.”
