GEO Agency in Burgos — Appear in ChatGPT, Gemini and Perplexity when people search for you

The term GEO was coined by researchers from Princeton, Georgia Tech and the Allen Institute in 2023 to describe the set of techniques that optimise a brand's presence in the results of generative search engines. Unlike SEO, which seeks positions in a list of results, GEO seeks to be cited as an authoritative source within the responses generated by AI. A business that appears in ChatGPT's answer when someone asks about the best services in their sector in Burgos has a qualitatively more valuable visibility than occupying position 5 on Google.

Generative AI models like GPT-4o, Gemini or Claude learn from large text corpora from the internet, academic articles, books and authoritative websites. When a user asks a question, the model generates a response by synthesising the information learnt during training, and in the case of Perplexity or Google's AI Mode, also by consulting real-time sources. To appear in those responses, a company needs its content to be sufficiently cited in the sources that feed the models: media outlets, authoritative directories, sector websites and its own website with high-quality content.

According to various industry studies from 2025 and 2026, between 30% and 40% of users under 35 already conduct searches through conversational AI before going to Google. For sectors where the purchase decision involves prior research — such as professional services, health or technology — AI engine presence is already a critical visibility factor for businesses in Burgos.

More and more users start their search process for services and products with a direct question to ChatGPT or Perplexity instead of opening Google. "What is the best marketing agency in Burgos?" or "Which company do people recommend for renovations in Burgos?" are questions already being asked to AIs, and the AIs respond with specific names. If your company is not among those names, you are losing business opportunities in a channel that grows month by month.

AI models do not give blank responses: when they do not find enough information about a company, they recommend the ones that do have presence in their sources. This means that in your absence, the AI actively recommends your competitors. For sectors with high competition in Burgos such as legal services, health, education, hospitality or technology, businesses with greater presence in authoritative sources are the ones consistently appearing in AI responses.

Traditional SEO generates clicks to your website. GEO generates something different: brand recognition and direct recommendation by the AI. When ChatGPT mentions your company as a reference in your sector, it does not always generate an immediate click, but it builds brand authority and increases the likelihood that the user will search for you directly afterwards.

The first step is knowing exactly where you stand. We launch a battery of representative prompts for your sector and city in the leading AI models and document what they say about your company: whether you appear, whether the information is correct and complete, whether they recommend your competitors instead of you, and what sources they cite when talking about your sector. This diagnosis is the foundation of the GEO action plan.

AI models preferentially cite content that is clear, factual, well-structured and published in authoritative sources. We create and optimise content in the formats that LLMs prefer to cite: direct question-and-answer, precise definitions, comparisons between options and verifiable data. This content is published both on your website and on external authoritative platforms that models use as reference sources.

A brand entity is how AI models and Google recognise your company: a coherent set of attributes (name, sector, location, services, values) that appears consistently in multiple digital sources. We optimise your brand entities so that LLMs recognise them unequivocally: we synchronise information in Google My Business, Wikipedia (if applicable), Wikidata, sector directories and media so that all sources say the same thing about who you are and what you do.

Schema Markup in JSON-LD helps AI models understand your website content in a structured way: what type of business you are, what services you offer, where you are located and what your credentials are. The llms.txt protocol allows you to tell models which parts of your website are most relevant and how you want them to access your content. Both implementations are the technical foundation of GEO positioning.

Unlike SEO where positions are measured with automated tools, GEO tracking requires regular queries to the AI models themselves with representative prompts for your sector. We monitor monthly how your company's mentions evolve in the leading LLMs, what sources they cite about you, whether the information is correct, and how your visibility compares to your competitors. Results are included in the monthly report alongside traditional SEO metrics.

SEO has a clear, measurable objective: to reach position 1, 2 or 3 for certain keywords. GEO has a different objective: to be the business the AI mentions when someone asks about your sector or type of service. There are no numbered positions or public ranking: either you appear in the response or you do not.

Google indexes your website by crawling its URLs. Generative AI models learn from massive text corpora collected from the internet before their knowledge cut-off date. This means you cannot "appear in ChatGPT" simply by optimising your website: you need your company to be mentioned and cited in the sources that feed those models during their training.

In 2026, Google's organic traffic remains the highest-volume digital channel for most businesses. GEO does not replace SEO: it complements it. A complete digital strategy works both channels simultaneously because audiences that use AI to search and those that use Google overlap but are not identical.

We launch between 20 and 40 representative prompts for your business and sector in ChatGPT, Gemini and Perplexity and document the responses in detail: whether they mention your company, what they say about you, which competitors appear in your place, what sources are cited and what frequently asked questions from the sector the AIs answer. This diagnosis defines the starting point and identifies the most priority visibility gaps to address.

With the diagnosis in hand, we define what content your website needs to create or adapt to increase the likelihood of being cited. This includes: FAQ pages by topic, service definitions in direct-answer format, comparisons and guides for your sector in Burgos, content with verifiable data and statistics, and texts signed by experts with identifiable credentials.

The technical foundation of GEO is implemented in parallel with the content: organisation, services and FAQ schema markup in JSON-LD; correctly configured llms.txt protocol; brand entity consistency in Google Business Profile, Wikidata and authoritative directories; and verification that no AI bot is blocked in robots.txt. This phase also includes publishing content on external authoritative platforms that models use as reference sources.

GEO requires active monitoring because AI models are constantly updated and their responses evolve. Each month we run the monitoring prompts, compare results with the previous period, identify advances and adjust the strategy according to evolution. The monthly report includes the AI Share of Voice (percentage of relevant prompts in which your company appears) as the main progress metric.

A technology services company in Burgos was practically invisible in AI models: in 95% of relevant prompts for its sector, ChatGPT and Gemini mentioned national competitors without citing the local company. After 4 months of GEO work, the company appears in 60% of sector prompts with geographic reference to Burgos and Castilla y León, and has gone from 0 to 3 organic monthly mentions in Perplexity for its main service searches. [View full case →](/casos-reales)

A law firm in Burgos specialising in commercial law detected that its competitors were appearing in ChatGPT responses when clients asked about legal matters in their speciality. In 6 months of GEO work we created 24 Q&A content pieces, implemented complete Schema markup and published mentions in authoritative legal directories. AI Share of Voice went from 0% to 45% in prompts for their speciality with Burgos geographic context. [View full case →](/casos-reales)