In 2024, something changed forever in the way people search for information and make purchasing decisions. Generative Artificial Intelligence—ChatGPT, Perplexity, Gemini—went from being a technological curiosity to becoming the first point of consultation for millions of users. And with that change, a new discipline was born: GEO (Generative Engine Optimization).
What exactly is GEO?
GEO stands for Generative Engine Optimization. It is the set of techniques, strategies and actions aimed at getting language models (LLMs) like ChatGPT, Perplexity AI, Gemini or Claude to mention and recommend your company when their users ask about your sector, service or product.
While traditional SEO works to appear in Google search results, GEO works to appear in AI's direct answers. They are two different worlds that coexist and complement each other, but with completely different logics and mechanics.
At GEOMOND, we have been developing the GEO methodology for the Spanish market since 2024, specialised in this discipline in the Spanish-speaking realm. The starting point of any project is always the same: measure current visibility with the Presence Index and build from there a personalized roadmap.
Why is GEO urgent right now?
The data is overwhelming. According to recent studies, 72% of AI users trust the answers from these models more than traditional search results. Additionally, 68% of searches in AI do not generate any clicks to external websites: AI is the final destination, not a path to it.
This has a brutal implication for any business: if you don't appear in AI answers, you don't exist for a growing and very relevant part of your target audience. A user who asks ChatGPT "what is the best law firm in Madrid for inheritances?" and doesn't receive your name as an answer, is a potential client who will never reach your website.
The adoption speed of generative AI far exceeds that of any previous technology. ChatGPT reached 100 million users in two months, compared to TikTok's nine months or Instagram's ten months for the same milestone. The generative AI user is no longer an early adopter; they are the mainstream customer of 2025.
The problem of the window of opportunity
Generative AI is in its early years of mass adoption. Businesses that work on their presence in AI today have a competitive advantage of between 12 and 24 months over those who wait. Once models consolidate their "trusted sources" for a specific sector, displacing them requires triple the effort and time. In sectors with few reference players—most of Spanish B2B—whoever arrives first, stays.
How GEO works: the logic of LLMs
Large language models (LLMs) do not consult the internet in real time for each answer (except some models with search activated). Their answers are built from training on large volumes of internet data: websites, articles, forums, directories, reviews, wikis and authoritative sources.
When a model generates an answer about "physiotherapists in Barcelona", it retrieves the information it has stored about physiotherapists in Barcelona. If your clinic has a rich, structured presence with authority signals, the model will include it in its answers. If not, you simply won't exist for it.
This process is different in models with real-time web access, like Perplexity or ChatGPT's search mode: in these cases, the model does consult updated sources. But even here, the criteria for source selection follow a predictable pattern that GEO systematically works on.
The factors that determine if you appear
- Mention density: how many times your business appears in sources that LLMs consume
- Entity consistency: whether all sources describe your business the same way (name, services, location)
- Authority signals: reviews, media mentions, presence in reference directories
- Semantic context: whether content about your business answers the questions users ask
- Structured data: Schema.org and other formats that facilitate understanding by models
- Consolidated digital reputation: online activity history, domain age and temporal coherence of presence
The 5 pillars of GEO: the GEOMOND methodology
At GEOMOND we work with a proprietary methodology based on 5 pillars that cover all relevant factors for AI visibility:
- Entity: precisely define who you are for AI models through Schema.org, data consistency and verified profiles
- Authority: build the credibility signals that LLMs value: reviews, media mentions, sector directories
- Context: create content that answers your sector's questions in formats that LLMs prefer to cite
- Structure: organize your presence to be readable and processable by AI
- Amplification: distribute in sources that LLMs use as primary references
These five pillars are not independent: they mutually reinforce each other. A solid entity without quality context produces little result; excellent content without amplification has limited visibility. The methodology works on all of them in parallel with varying intensity depending on each client's initial state.
The Presence Index: how to measure your AI visibility
One of GEOMOND's most important contributions to the GEO field is the Presence Index, a proprietary metric from 0 to 10 that quantifies how frequently and relevantly major AI models mention you when their users ask about your sector.
A Presence Index of 0 means total invisibility. A Presence Index of 8-10 means you are the reference that AI consistently recommends. GEOMOND clients improve their Presence Index by an average of 0.5-1 points per month with continued work.
The metric is objective and verifiable: it is calculated by launching a standard set of questions to multiple models and analyzing the answers. It is not an estimate or projection, but measurable data that allows making strategic decisions based on facts, not intuitions.
GEO for different types of companies
GEO has the greatest impact in sectors where clients consult AI before making high-value decisions: legal services, health, consulting, real estate, financial services, marketing and any B2B with consultative sales cycles. Companies with revenue over €200,000 annually, where a single client captured from AI can represent thousands of euros in revenue, are the ideal profile.
However, GEO is not exclusive to large businesses. Any company operating in a niche where recommendation and trust are key purchase factors can benefit from GEO. The difference is the return on investment: the higher the customer value, the greater the ROI per point gained in the Presence Index.
GEO and SEO: two complementary disciplines
One of the most frequent questions we receive is: "Does GEO replace SEO?". The answer is a clear no. GEO and SEO are complementary and the most successful companies work on both. SEO takes care of visibility on Google—which remains the dominant search channel with more than 8.5 billion daily searches—while GEO works on the emerging channel of generative AI that grows at an unprecedented rate.
The synergy between both disciplines is real: many GEO actions have a positive effect on SEO (Schema.org improves rich snippets, authority content generates links, presence in directories improves NAP citations). An integrated digital strategy that works on both disciplines is significantly more efficient than working on them in isolation.
Frequently asked questions about GEO
How long does it take to see GEO results? The first detectable movements in the Presence Index appear at 4-8 weeks. Solid and consistent results require between 3 and 6 months of continued work. Sectors with little GEO competition—most in Spain—can show faster results.
Do you have to change the entire website to do GEO? A complete redesign is not necessary. The highest impact actions are additive: implementing Schema.org, creating FAQ pages and sector content, optimizing Google Business Profile. Most changes are code and content, not design.
Does GEO work for any type of company? The highest ROI is obtained in high-trust sectors and consultative sales cycles: legal, health, consulting, finance, premium real estate. For low-price product businesses with price-based decisions, GEO's ROI is lower but growing as AI also influences lower-value purchase decisions.
What happens if my competition also works on GEO? The sooner you start, the better. AI models tend to consolidate their references for each sector as they process more data. Whoever establishes authority in AI first has a structural advantage that the late competitor will have to overcome with double the effort. The GEO race in Spain is just beginning: the window of opportunity exists now.
How to start with GEO
The starting point is knowing your current Presence Index. Without data, there is no strategy. Request a free audit at GEOMOND and you will receive within 24-48 hours a complete diagnosis of your current visibility in ChatGPT, Perplexity and Gemini, the main gaps versus your competition, and a personalized roadmap for your sector.
GEO is not the future of marketing. It is the present that is already redefining who wins clients and who disappears from the map. Each month that passes without working on GEO is a month in which your competition consolidates its position in AI. The window of opportunity exists today; tomorrow it will be narrower and more costly to access.
Frequently asked questions
Does GEO replace SEO or are they distinct disciplines?
They are complementary. SEO ranks pages in Google's 10 blue links, which still process more than 8.5 billion daily searches; GEO works to ensure ChatGPT, Perplexity, Gemini and Claude mention your brand inside the answer. The companies performing best in 2025 run both in parallel.
How many companies in Spain already work GEO professionally?
In Q1 2026 we estimate fewer than 50 specialised GEO agencies in Spain, versus more than 6,000 SEO agencies according to the Sortlist directory. That asymmetry defines the window of opportunity: 12-24 months before the models consolidate their per-sector reference sources.
What does an LLM rely on to cite one brand and not another?
On density of consistent mentions in sources the model trained on, Schema.org structured data, presence in sector directories, verified reviews and domain reputation. It is the sum of signals that lifts the Presence Index, not a single isolated lever.