What is GEO and how to make ChatGPT recommend your business?

In 2026, millions of people open ChatGPT, Perplexity or Gemini and type: "What is the best marketing agency in Tenerife?" or "Recommend a labor lawyer in Santa Cruz". If your business does not appear in those answers, you are losing real customers. This is not science fiction: it is the present reality of digital marketing, and it has a name: GEO, Generative Engine Optimization.

GEO vs SEO: key differences you need to understand

Traditional SEO optimizes for Google to show your website in a list of results. The user clicks and reaches your page. GEO optimizes for a language model (LLM) to mention you directly in its response, without the user needing to click anywhere.

How do LLMs decide what to recommend?

Language models do not "search" in real time like Google (though some, like Perplexity or ChatGPT with web search, do have internet access). Their recommendations are based on three data sources.

Source 1: Training data

The model was trained on trillions of web pages, articles, books, and forums up to a cutoff date. Everything published about your business before that date is part of its "memory". If you are frequently mentioned in quality texts before that cutoff, the model will associate you with your sector and geographic area.

Source 2: Real-time retrieval (RAG)

Advanced systems (Perplexity, ChatGPT with Bing, Gemini with active search) use a technology called RAG (Retrieval-Augmented Generation): when the user asks a question, the system retrieves current web pages and uses them to generate the response. In this case, classic SEO signals (Google position, domain authority) do influence results, because the system tends to retrieve pages that already rank well.

Source 3: Brand authority signals

Models learn authority patterns: who cites whom, what sources are mentioned as references, what names repeatedly appear associated with certain concepts. If fifteen independent specialized press articles mention you as an expert in your field, the model learns that association.

7 concrete GEO tactics with real examples

Tactic 1: Deep semantic authority content

LLMs cite sources that answer complex questions comprehensively. A 3,000-word article answering "How much does a website cost in Tenerife?" with real prices, comparisons, and examples has more chance of being cited than a 400-word article with generalities.

Tactic 2: Schema.org optimization for GEO

Structured data is the most direct way to communicate with AI systems. While text requires interpretation, JSON-LD is machine language. The most relevant schemas for GEO are: Organization (with sameAs links to Wikipedia, Wikidata, LinkedIn, social profiles), LocalBusiness, Person (for professionals and experts), FAQPage, and HowTo.

The "sameAs" field in the Organization schema is especially important: it connects your digital entity across multiple platforms, reinforcing entity consistency for language models.

Tactic 3: Mentions in authority media

Being cited in specialized press, relevant local media, or industry publications is one of the most powerful authority signals for LLMs. For a business in Tenerife, this includes: El Diario de Tenerife, Canarias7, El Dia, Canary Islands tourism sector blogs, and national media when possible.

Tactic 4: "Best X in Y" content

Ranking and comparison formats are exactly what LLMs reproduce when someone asks "what is the best...?". If you publish "The 7 best web design agencies in Tenerife" and include yourself with solid arguments, or if others publish that type of list and mention you, you are actively building GEO.

Tactic 5: Entity consistency across the web

LLMs build a model of your entity from the consistency of the information they find. Your business name, services, location, founder or director names, and specialization must be consistent across: your website, LinkedIn, Google Business Profile, social media, directories, press articles, and podcasts or videos you have participated in.

Tactic 6: FAQs optimized for direct answers

LLMs love clear questions and answers. Including a well-structured FAQ section on your website, with questions in natural format (as users ask them) and concise precise answers, increases the probability that the model will extract that answer when someone asks the same question.

Tactic 7: Presence on platforms LLMs index heavily

Some platforms carry more weight in LLM training data due to their authority and volume: Wikipedia (if applicable), Wikidata, LinkedIn (especially for professionals and B2B), Reddit (sector forums), Quora, and G2 or Capterra (for software).

How to test if you appear in AI answers

Open ChatGPT, Perplexity, and Gemini separately (without previous conversation history to avoid memory bias) and run these queries:

• "What are the best [your business type] in [your city]?"
• "Recommend a [your sector] in [your geographic area]"
• "Who should I hire for [your main service] in [your city]?"
• "Who are the experts in [your specialization] in Spain?"

Record the results. If you do not appear, you have a clear starting point. If you appear but with inaccurate or incomplete information, entity consistency is your priority.

GEO does not replace SEO: it complements and amplifies it. At TeideSEO we integrate both strategies because in 2026, digital visibility is no longer just Google — it is the complete ecosystem where customers look for answers.