AI Guide · PRACTICAL GUIDE
GEO (Generative Engine Optimization): definition and method
GEO, short for Generative Engine Optimization, covers the actions that improve a business's presence in the answers of generative AI engines: ChatGPT, Claude, Gemini, Google's AI Mode and AI Overviews. The term is recent and often used loosely. Here is a simple definition and a concrete method.
A simple definition of GEO
SEO helps a page rank well in a list of results. GEO aims for a brand to be understood, cited and above all recommended in an answer written by an AI. The difference matters: in a generated answer, there is often no "page two." The assistant mentions a few businesses, sometimes only one when asked to choose.
The term was popularized by academic research published in 2023 under the title "GEO: Generative Engine Optimization." Since then, it has come to describe, more broadly, every effort to improve visibility in AI, from audits to content creation.
GEO, LLMO, AEO: the same ideas under other names
You will come across several acronyms. LLMO, for Large Language Model Optimization, focuses on the language models themselves. AEO, for Answer Engine Optimization, comes from answer engines and featured snippets. People also talk about AI SEO or ChatGPT SEO. In practice, these terms cover very similar goals.
Rather than picking an acronym, ask the useful question: when a customer asks an AI for advice in your field, is your business recommended, and why? Everything else follows from that: what to measure, correct and publish.
What GEO does not replace
GEO does not replace SEO: assistants that search the web rely on accessible, indexed pages. Google itself reminds site owners that SEO best practices remain the foundation for its AI features. A slow, poorly structured or inconsistent website hurts both.
Be wary of quick promises too: a miracle file, a secret tag or a guaranteed top spot in ChatGPT. AI answers vary from one conversation to the next and from one engine to another. Serious work relies on repeated observations and verifiable information, not on a trick.
A four-step method
Step 1: define your offers, your customer profiles and your real competitors. Step 2: observe how AIs answer these customers, by replaying complete conversations rather than isolated questions. Step 3: identify the gaps, such as being absent at the moment of choice, a pricing error or a competitor with stronger arguments.
Step 4: act on the causes by publishing missing information, correcting sources and adding proof, then measure again with the same protocol. This observe, act, measure loop is the core of an effective GEO approach, whether you run it yourself, with an agency or with a platform.
How Valooo.IA applies GEO
Valooo.IA starts from your market: your customers' real searches, your offers and your competitors. The platform builds buyer profiles and simulates their buying journeys in ChatGPT, Claude, Gemini and Google, all the way to the final question: "Which one do you recommend?"
The report shows where your brand is cited, where it is actually chosen, who replaces it and why. It ends with a prioritized action plan, with an estimated impact and how it was calculated. The Tracking plan repeats the same protocol every month to measure progress.
From observation to your next action.
A platform to understand where your brand is recommended, where it disappears, and what needs correcting.
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