Over 800 million users a week use AI-powered tools, yet 47% of brands still have no visibility strategy for this channel. Generative Engine Optimization – GEO – is a new marketing discipline that determines whether your brand appears in AI-generated answers or disappears from the radar of the next generation of customers.
It's time to stop asking whether GEO is needed. It's time to start asking why you don't have it yet.
The end of the clicking era, the beginning of the answering era
For three decades, digital marketing rested on one simple principle: get the user interested enough to click a link. The Google results page, ten blue links, the race for first place.
SEO became the foundation of online visibility and – to be fair – it still is. However, something fundamental has changed in user behaviour, and these changes are happening faster than most marketing departments can react.
Users are stopping searching for a list of links. They ask questions and expect answers – instant, synthetic, credible. Tools such as ChatGPT, Perplexity, Google AI Overviews and Gemini have taken over this role at a spectacular pace.
According to data cited in the Digital Agency Network GEO Research 2026 report, AI-driven traffic to websites rose by 527% year on year in the first five months of 2025. This is not evolution – it's revolution.
"I care less about Google rankings and more about whether AI tools like ChatGPT or Perplexity mention the brands I work with."
– an expert quoted in the Relato 2026 GEO analysis, an AI marketing strategy specialist.
The data is unambiguous. Google AI Overviews now appear in over 25% of all queries in the search engine – and in sectors such as healthcare that figure exceeds 48% – according to the Conductor AEO/GEO Benchmarks 2026 report, prepared on the basis of an analysis of 21.9 million unique queries.
Meanwhile, every generation now entering the consumer market treats AI as the first stop in the purchasing process: according to McKinsey data from October 2025, 50% of consumers use AI-based search as their primary tool for gathering information and making purchasing decisions.
What is GEO and why does it differ from SEO?
Generative Engine Optimization is a strategy for optimising content and brand presence online, the goal of which is to appear in answers generated by AI language models.
Unlike traditional SEO, which aims for a high position in the search results list and generates clicks, GEO makes your brand cited or recommended within the AI answer itself – without the user needing to click.
The term was formalised in 2024 by researchers from Princeton, Georgia Tech and IIT Delhi, who published a foundational academic paper on optimising content for generative search engines. By 2025, GEO had entered the mainstream vocabulary of marketing strategies, and by early 2026 most large global companies had already launched their own GEO initiatives. Polish brands are only just starting to ask the first questions – which means the first-mover window is still open.
The key differences between SEO and GEO can be summarised as follows:
- Goal: SEO fights for a position in the list of links and for clicks; GEO fights to be a source cited or recommended directly in the AI answer.
- Optimised for: SEO optimises for ranking algorithms and keywords; GEO optimises for language models, user intent and content citability.
- Success metrics: In SEO you measure positions #1-10, CTR and organic traffic; in GEO you measure share of AI answers, number of citations and brand sentiment.
- Content format: SEO favours long-form content, technical structure and keyword density; GEO favours Q&A sections, facts, sourced statistics and paragraphs of 50-100 words.
- Tools: SEO uses Google Search Console and Ahrefs; GEO requires tools such as Otterly, Semrush AIO or DOJO AI.
"SEO makes you found. GEO makes you trusted enough to become the answer. " – the DOJO AI team, a GEO platform for challenger brands, in the guide Complete Guide to GEO 2026.
It is worth emphasising one crucial point: GEO does not replace SEO.
Research shows that the brands dominating AI search are the same brands that previously built solid foundations in traditional SEO. GEO is an additional layer of strategy, not a substitute.
The numbers that should stop every marketing director in their tracks
Market data from 2025 and 2026 paints a picture that leaves no room for doubt.
ChatGPT reached 800 million weekly active users in October 2025 – doubling that figure in just eight months. According to OpenAI, by early 2026 that number had already exceeded 900 million. AI adoption among American adults rose from 14% in February 2025 to 29.2% in August 2025 – within six months.
What does this mean for brands? A Bain report indicates that 80% of consumers rely on zero-click results for at least 40% of their searches – which translates into an estimated 15-25% decline in organic traffic in traditional channels. AI-driven traffic to e-commerce websites during the 2025 holiday shopping season rose by 693% year on year – reports Adobe Analytics based on an analysis of more than a trillion visits. AI sessions convert 31% better and have a 27% lower bounce rate compared with other organic channels.
And yet: only 16% of brands systematically track their AI search performance – according to data from September 2025. And as many as 47% of brands have no deliberate GEO strategy at all. This is not a warning. This is a map of competitive advantage.
"The brands that will dominate AI search are those that act fast, test consistently and understand that AI needs content built differently." – experts from the Dataslayer AI platform, in the analysis Generative Engine Optimization: The AI Search Guide 2026.
Why should your brand implement GEO right now?
The arguments for implementing GEO can be divided into three groups: visibility, conversion and competitive advantage. Each works independently, but together they form a strategic rationale that is hard to dismiss.
Visibility and authority without paid media. When AI cites your brand, the user associates the knowledge with your name – even if they don't click any link. This is building authority in an entirely new dimension. What's more, research shows that brands cited in AI answers record a 38% increase in organic clicks and a 39% increase in paid ad clicks – according to the Relixir report. Citability in AI does not cannibalise traditional traffic – it strengthens it.
Higher conversions thanks to precise intent. A user who asks an AI assistant a question knows what they are looking for. Their purchase intent is precise, and their trust in the AI answer is high. Data from the e-commerce sector confirms it: AI traffic converts 31% better than standard organic traffic, while also having a lower bounce rate. This is the most expensive traffic in the traditional sense – because it requires meeting high standards of content quality – but also the most valuable.
First-mover advantage. The analogy to SEO a decade ago is particularly apt here. In 2012, companies that understood organic positioning built an advantage that competitors chased for years. In 2026, the situation is repeating itself: the early-adoption window for GEO is open, but it will close faster than was the case with SEO, because the AI market is growing at a geometric pace.
Analysts forecast that by 2027 over 80% of informational queries will be processed with AI involvement.
How to optimise content for generative AI engines: a practical guide
Implementing a GEO strategy does not require a budget revolution. It requires changing the way you think about whom you create content for and in what format.
Here are five pillars of an effective strategy:
- Question-answering structure (Q&A and FAQ): Language models favour content that directly and precisely answers specific questions. The first 200 words of every article should contain a direct answer to the main query – without beating around the bush and narrative introductions.
- Data, statistics and citable facts: A study conducted by researchers from Princeton, Georgia Tech and IIT Delhi found that content with no GEO optimisation achieved an overall score of 19.3 on the AI visibility scale, while content enriched with citable data and authoritative sources achieved significantly better results. Statistics, reports and cited sources are the currency of GEO.
- Schema markup and structured data: Content with implemented schema tags gains 30-40% higher visibility in AI answers – according to analyses by the Dataslayer AI platform. The Google Rich Results Test tool allows you to verify the correctness of your implementation free of charge.
- Content freshness: AI platforms prefer content that is on average 25.7% fresher than material cited in traditional search.
Adding a "What changed in 2026" section to evergreen articles is a concrete tactic, not just a principle.
- Presence beyond your own website: An analysis of 680 million AI citations conducted by the Profound platform showed that in October 2025 Reddit, LinkedIn and YouTube were among the most frequently cited sources by leading language models.
Reviews on G2, Trustpilot and Capterra, mentions in industry media and discussions in online communities – these are external authority signals that AI treats as proof of credibility.
GEO in Poland – where we are and what it means for local brands
In the global market, GEO is already a strategic priority in most enterprise teams.
In Poland – as emerges from conversations with industry experts – most companies are still at the stage of first questions or early experiments. That's good news for those who decide to act now. Bad news for those waiting for "wider adoption".
Particularly exposed to losses due to a lack of GEO strategy are industries in which purchasing decisions are preceded by information search: finance, insurance, e-commerce, B2B technology, pharma, education and professional services. In the healthcare sector, AI Overviews appear for almost 49% of queries – which means that nearly half of users seeking health information get an answer without leaving the AI interface.
Polish brands have an advantage that global players lacked: the ability to learn from others' data and mistakes. GEO tools are available, methodologies are documented, initial case studies have been published. Only a strategic decision is missing.
GEO metrics – what to measure to know whether your strategy is working
One of the biggest barriers to GEO adoption is the lack of familiarity with new metrics.
Marketing departments think in terms of organic positions, CTR and sessions. GEO requires adding new indicators to the dashboard:
- Brand Mention Count in AI: Regularly testing 10-15 industry queries in ChatGPT, Perplexity and Gemini – does the brand appear in the answer? In what context? With what sentiment?
- AI Referral Traffic: Google Analytics 4 allows you to track traffic coming from AI interfaces.
It is still a smaller part of the total, but a growing one – and 2025 data points to growth of over 500% year on year in many sectors.
- Citation Quality and Share of Voice: It is not enough to know that the brand is mentioned. What matters is whether it is recommended, described neutrally or perhaps disparaged.
- Zero-Click Displacement Rate: An indicator showing how much AI Overviews "eat into" traditional organic traffic on specific queries.
Tools such as Semrush Enterprise AIO, Otterly or DOJO AI allow you to track these metrics in a systematic and comparable way.
According to data from September 2025, only 16% of brands do this regularly – which makes AI visibility monitoring one of the most underrated elements of marketing strategy.
First steps – how to start before your competition does
A GEO strategy does not require an army of specialists or a multi-million budget.
It requires methodicalness and a readiness to act in conditions of incomplete knowledge – just like any new marketing discipline at an early stage of adoption.
Five first steps that every brand can take today:
- Carry out an AI visibility audit: type 10 questions your customers ask into ChatGPT and Perplexity. Check whether your brand appears in the answers.
- Identify your best content and restructure it for GEO: shorter paragraphs, clear headings, FAQ sections, citable data with sources given.
- Add schema markup to your highest-traffic pages – it is one of the fastest-returning technical measures.
- Build external presence: ensure reviews on industry platforms, expert activity on LinkedIn, mentions in the media.
- Establish GEO metrics and start measuring them monthly – even if at first it is a manual review of a dozen or so queries.
Citation-authority, as we say in GEO, is built in the same way as domain authority in SEO – slowly, consistently, and with effects that accumulate over time. The brands that invest in GEO in 2026 will be the ones AI cites in 2027, 2028 and the years beyond.
Generative Engine Optimization (GEO)
GEO is a developing discipline at the intersection of content marketing, SEO and AI strategy. The term was codified in 2024 by researchers from Princeton, Georgia Tech and IIT Delhi, entered the mainstream in 2025 and by early 2026 had become a standard element of marketing strategies for the largest global brands.
In Poland, the GEO market is at an early stage of development – which means the first-mover advantage is still real and available to companies that decide to act before the competition saturates. GEO tools (Otterly, Semrush AIO, DOJO AI) have been commercially available since 2024-2025, and the cost of entry is far lower than in the case of a mature SEO ecosystem.
