What GEO is and why it matters in Mexico
More and more purchases start with a question to ChatGPT or AI Mode. What generative engine optimization is, how it differs from SEO and where to start.
By Fedlum Team
For twenty years, showing up on Google meant one thing: being on the first page of results. Today a growing share of searches ends before anyone reaches that page. Someone asks ChatGPT for the best fee-free digital bank account, or asks Google's AI Mode to compare three car insurance policies, and gets a written answer with a short list of brands and a couple of links. If your brand isn't on that list, it doesn't exist for that person.
The work of getting AI assistants to mention you, describe you accurately and recommend you is called GEO.
What GEO means
GEO stands for generative engine optimization. You'll also see AEO (answer engine optimization) or LLMO. They all point to the same thing: understanding how language models put their answers together and working to make your brand part of them.
The difference from traditional SEO is not small. In a classic search engine you compete for a spot in a list of ten links. In a generated answer you compete for a mention inside a paragraph, and the model decides which brands to name, in what order and in what tone. There's no fixed first place: the same question can produce different answers depending on the model, the country, the language and the day.
Why it matters in Mexico
There are three reasons GEO stopped being a lab topic for Mexican brands.
Assistants already answer in Spanish across the region. Google launched AI Mode in Spanish across the Spanish-speaking countries of the Americas in 2025, and AI summaries were already showing up in its results before that. ChatGPT, Gemini, Perplexity and Copilot answer in Spanish without anyone changing a setting.
Advertising has reached the answers. ChatGPT started showing ads in Mexico in August 2026, one of its first Spanish-speaking markets. When a category has ads inside the answer, the organic space gets more contested.
Spanish-language sources are different. Models cite media, forums, marketplaces and comparison sites, and in Mexico that map doesn't look like the US one: local sites, online stores, video content and sometimes pages machine-translated from English carry weight. What works for a brand in Miami doesn't necessarily work in Monterrey.
What GEO looks like in practice
A GEO program has three parts, and it looks a lot like a good SEO or PR program.
- Measure. Define the questions your customers ask (the prompts), run them on the models your market uses and record how many answers include you, in what position and in what tone, next to your competitors.
- Understand why. Look at which sources each model used to answer: which media, forums or comparison sites cite you and, above all, which ones cite your competitors but not you.
- Act. Improve your site's content so it answers what the model is looking for, earn a presence on the outside sources that carry weight, and make sure AI bots can read your pages.
None of this requires tricks. Models tend to repeat what they find in sources they consider trustworthy. The best way to show up is to be present, with clear and current information, in the places the model checks.
Common mistakes when starting out
- Measuring once. Answers change every day. A screenshot of one conversation isn't data; a trend over several weeks is.
- Watching a single model. ChatGPT, Gemini and AI Mode don't cite the same sources or recommend the same brands.
- Only testing questions with your brand in them. The questions that matter most are the ones that don't name you: “what's the best app to send money?” says more about your visibility than “what do you think of my brand?”.
- Forgetting the country. AI doesn't answer the same way from Guadalajara as from Bogotá or Los Angeles.
Where to start
Write down 20 to 50 questions your customers would ask before buying in your category, most of them without your brand name. Ask them in the assistants your market uses and note who shows up and which sites get cited. Repeat the exercise every week and you'll see the answers move more than you'd expect.
If you want to do that every day, across several models and countries, and see the sources behind every answer, that's what we built Fedlum for.