GEO agency: show up in ChatGPT, Perplexity and Gemini when they talk about your industry

A GEO agency works to get AI models to cite and recommend your brand when someone asks them about your industry. In practice, that means four things: auditing which prompts you appear in today, restructuring your content so it's citable, building entity and authority signals the model recognizes (schemas, Wikidata, media mentions), and measuring every month whether visibility is going up. It's not advertising inside AI: you can't pay to show up; you work to earn it.

GEO (Generative Engine Optimization) is optimization for generative engines such as ChatGPT, Perplexity, Gemini or Claude. Traditional SEO aims to rank you in a list of ten results. GEO aims to get AI to cite or mention you directly within its conversational answer, often without any click involved.

No, it complements it. Google will remain important for many years, but more and more users ask AI directly. Plus, the two feed each other: a website Google understands and ranks well is far more likely to be cited by a model. The winning strategy is a mix of both.

We track a set of relevant prompts in ChatGPT, Perplexity, Claude and Gemini every month. We check whether your brand, your products or your experts are mentioned, and we send you a report showing progress, with screenshots of each mention.

Faster than traditional SEO, but not immediate. Models with real-time search (Perplexity, ChatGPT with web) reflect changes within weeks. Those that answer only from what they've learned change when they're retrained. We work with a 3- to 6-month horizon for consolidated results.

It works especially well in B2B, education, healthcare, legal, finance, software and technical niches, where users research thoroughly before deciding. For very local, quick-decision businesses the impact is smaller, although it's starting to show in searches with recommendation intent.

The budget depends on your current brand authority, how much competition you face in the prompts you care about, and whether we need to work on entity and digital PR or optimizing your existing content is enough. We don't quote a price before seeing how the models mention you today. We run that diagnosis for free and then send you a fixed-price proposal.

Wikipedia, Reddit, recognized industry forums, established media, high-authority blogs and, increasingly, brand-owned content when it's well structured and provides data that isn't available anywhere else.

It's not mandatory, but it helps a lot. Wikipedia and Wikidata are reference sources that models use to recognize an entity. If your brand meets the notability criteria, it's worth working on. If it doesn't, there are other ways to build that signal.

They're closely related labels for the same problem. AEO (Answer Engine Optimization) focuses on direct answers and also includes Google's featured snippets. LLMO refers specifically to language models. GEO is the most widely used term for generative engines. We work on all three approaches in parallel because the actions overlap almost completely.

We're based in Girona, Barcelona and Terrassa, and we hold in-person meetings there when needed. But GEO works just as well remotely, and we have clients all over Spain. The initial conversation is always by video call.

You can start with the basics: structure content in Q&A format, add correct schemas and write with your own data instead of generalities. The advanced parts (Wikidata, systematic tracking, digital PR, knowledge graph) require specific tools and expertise.