For years, the question every brand asked itself was: do I show up on Google? Ranking on the first page was the goal. Getting there meant months of SEO work, optimised content, quality backlinks and constant updates. The system was familiar, measurable and, for the most part, predictable.
But that landscape is changing — and faster than most businesses want to admit.
Today, a growing share of users no longer start their search on Google. They open ChatGPT. Or Perplexity. Or Gemini. They ask a question, get a written answer directly — no list of links, no visit to any website — and make decisions from there. If your brand doesn’t appear in that answer, it simply doesn’t exist for that user at that moment.
This has a name: GEO, Generative Engine Optimization. And in 2026, it’s no longer an emerging trend. It’s a reality to work with.
What GEO Actually Is and How It Differs from SEO
Traditional SEO optimises content to appear in Google’s search results or other classic search engines. The goal is ranking: getting to the first page, ideally the top spots.
GEO, on the other hand, optimises for language models (LLMs like GPT-4, Gemini or Claude) to select, cite and present your content when generating conversational responses. It’s not about getting a click. It’s about being the source the AI uses as a reference when someone asks a question related to your industry.
The practical difference is significant: in SEO, success is measured in rankings, clicks and traffic. In GEO, the metric is different: mentions, citations and Share of Voice in LLMs. Put more plainly: how often your brand appears as an answer when AI talks about what you do.
Why This Matters Now (Not in Two Years)
The figure that should catch the attention of any marketing or communications professional: according to Reuters data, ChatGPT now has over 400 million weekly active users. And 37% of information searches already start in AI chatbots, not Google.
This doesn’t mean SEO is dead. It remains essential. But it’s no longer enough on its own.
Picture a concrete scenario: a potential client types into ChatGPT “what communications agency should I hire in Barcelona for a small business?”. The AI doesn’t return ten links. It delivers a direct answer with two or three references it considers reliable. If your agency isn’t among them, that lead never reaches your website. They don’t even know you exist.
This isn’t a hypothetical. It’s happening right now across every sector: architecture, consulting, retail, hospitality, technology. Brands that start working on GEO today have a competitive advantage over those that will do so in 2027.
How LLMs Work (and Why Your Content Matters to Them)
To understand how to optimise for these engines, it helps to briefly understand how they learn. Language models work with two mechanisms:
Training knowledge. The model learns from enormous text corpora: articles, websites, industry publications, Wikipedia, specialist forums. If your brand appears frequently in high-authority sources, the model “knows” it even without performing a real-time search. This knowledge is static and only updates when the model is retrained — something that happens every few months or years.
Real-time retrieval. Tools like Perplexity or ChatGPT’s search mode actively crawl websites when a user makes a query. Here, fresh, well-structured and technically accessible content carries far more weight.
The strategic implication is clear: you need to work on both layers. Not just publish good content, but make sure that content is indexable by AI bots, semantically structured and genuinely building authority in your field.
What Working on GEO Actually Involves
This isn’t about inventing a new strategy from scratch. In many cases, it’s an evolution of what should already be done well. These are the main levers:
Structured content with direct answers. LLMs tend to cite passages that answer questions clearly and concisely. The format “question + direct answer in the opening paragraphs” significantly increases the likelihood of being cited.
Visible and verifiable E-E-A-T. Google has long valued experience, expertise, authority and trustworthiness (E-E-A-T). LLMs use those same indicators as a quality proxy: identifiable authors, external sources that cite you, well-implemented schema markup, an “About us” page with real credentials.
Technical openness to AI bots. A high percentage of websites block by default crawlers like GPTBot (OpenAI) or ClaudeBot (Anthropic) in their robots.txt file. It’s the first technical step — and one of the simplest — to start existing in the generative ecosystem.
Brand consistency across all channels. LLMs don’t only crawl websites. They read LinkedIn, Reddit, YouTube, media mentions. If your brand’s message is consistent across all these environments, the AI receives multiple signals confirming who you are and what you do. If there are contradictions or gaps, the picture the model builds is blurry — or outright wrong.
Presence in high-authority sources. Being cited in industry publications, contributing to specialist media or having a Wikipedia entry (where relevant) remains one of the most decisive factors in an LLM “knowing” a brand.
GEO and SEO: They’re Not Enemies
Worth clarifying: working on GEO doesn’t mean abandoning SEO. They are complementary disciplines that, in many ways, reinforce each other.
Content well structured to answer questions directly is good for SEO featured snippets and equally good for being cited by AI. Solid E-E-A-T work improves organic rankings while simultaneously increasing the trust language models place in that source. The winning strategy in 2026 integrates both — not as alternatives, but as layers of the same system.
The Mindset Shift This All Requires
Beyond tactics, GEO implies a fundamental shift in how brands understand their digital presence.
For decades, online visibility was built with humans who click in mind. The new ecosystem demands thinking also about machines that synthesise. That doesn’t mean producing cold or technical content: LLMs learn from valuable, well-written content with genuine editorial judgement. The so-called AI slop — content churned out in bulk without soul or rigour — is already being penalised by audiences and platforms alike.
What works in the generative environment is exactly what has always worked in communications: genuine knowledge, a distinctive voice and the ability to answer well the questions the market is asking.
The difference is that now you need to make sure that voice also reaches the models that, increasingly, act as the first filter between brands and their potential clients.
Does your brand appear when AI talks about your industry? At Fairplay we audit your presence in generative engines and design a strategy so the answer is yes.