- Generative search is transforming SEO: it's no longer enough to rank links, now you have to be cited as a source within AI-generated answers.
- GEO is based on the fundamentals of classic SEO, but it requires more structured, up-to-date content with verifiable data and strong subject authority.
- Google SGE, ChatGPT, Perplexity and other generative engines reduce clicks, but open a new channel of visibility and recommendation for brands that know how to adapt.
- The winning strategy combines SEO, AEO, GEO and a solid user experience, especially in information, B2B, SaaS, health, finance and complex ecommerce sectors.
Search results are no longer a simple list of blue linksIncreasingly, when you make a query, you're greeted by a top block with coherent, AI-generated text, accompanied by some recommended sources. This experience, which reduces clicks and saves the user time, is what we call generative searchAnd it's rapidly changing the way we do SEO, design content, and measure brand visibility.
For digital marketing teams, this shift means moving from simply asking "what position do I rank in Google?" to also asking "do I cites the AI When someone researches my industry, my products, or my services?” In this article, we'll break down in detail what generative search engines are, how they work, what they mean for SEO, what GEO or AEO is that everyone's talking about, and what practical levers you can use right now to avoid being left out of the new digital marketplace.
What is generative search and how does it fit into digital marketing?
When we talk about generative search, we are referring to a system in which the search engine does not simply list pages: Write your own answer with the help of artificial intelligence models. This response usually condenses the key information, provides context, and, in many cases, displays the sources from which the data was taken so that the user can delve deeper if they wish.
In the Google ecosystem, this format takes the form of what is called Search Generative Experience (SGE)An AI block that appears above or among the regular search results. In other contexts, we refer to this as AI Overviews or similar experiences. AI tools , the ChatGPT, Perplexity, Gemini or Claude, which already act as true generative search engines.
The key is that, in this model, visibility isn't solely determined by traditional organic rankings, but by whether your content is selected as source for building the answerThis forces brands to approach their content strategy with a dual objective: to continue ranking in the classic SERPs and, at the same time, to be "readable" and reusable by generative AI.
This evolution has given rise to new acronyms that you will see more and more: GEO (Generative Engine Optimization)AEO (Answer Engine Optimization), NSEO (Next-Generation SEO), SGEO (SEO focused on SEO), or even KIO (Artificial Intelligence Optimization). They all revolve around the same idea: optimizing your presence for an environment where search engines... They respond, synthesize, and recommendThey don't just order URLs.
How generative search works (without heavy technical jargon)
Behind each generative response block there is one or more large language models They've learned to write from enormous amounts of text. When you formulate a query, the system interprets what you really want to know, scans the web for reliable signals, cross-references sources, and compiles a summary with the most relevant information.
In very simple terms, the process follows several steps: AI tries to understand the search intentionIt locates content that addresses that intention, evaluates its quality and credibility, and then rewrites the answer in a natural format, adding or omitting references depending on the complexity of the query. The more complex the question, the more weight the citation of specific sources usually carries.
In order for the engine to "feed" properly, it needs content. clear, structured and verifiableThis explains why concepts like GEO or Answer Engine Optimization have gained prominence: it's about creating pieces that an AI can understand, break down and recombine without distorting the original message.
Furthermore, many of these systems still exhibit technical limitations: JavaScript doesn't always execute correctly.They may have problems with content that is loaded entirely on the client side and relies heavily on external authority signals. They also tend to favor recent information, data with explicit quotes, and verifiable statistics over vague or imprecise text.
Another important nuance is that, for AI, simple brand mentions even without a link They can carry more weight than they did in traditional SEO. References on Wikipedia, forums like Reddit, or UGC platforms (YouTube, social media, reviews) have become priority sources for enriching the answers generated.
Why generative search engines are so relevant for brands
From the user's point of view, the advantage is clear: less noise and quick and helpful answers without having to open ten tabs. However, for businesses, the situation becomes more complicated. If the explanation already appears in the search engine itself or in the chatbot, the number of clicks to the websites that previously led the ranking decreases, and the battle shifts to another arena.
The question is no longer just “Do I appear on the first page of Google?” but becomes “I am part of the answer that the user reads without leaving the search engine?”. That nuance changes everything: you can not be the first organic result and still be the most cited source in AI Overviews… or vice versa, be at the top of the ranking and be left out of the generative block.
This change increases the pressure on the attention economyUsers spend less time checking links and only click when they perceive they will find something that improves upon what the AI has already told them. Hence the need to produce content that works on two levels: that is self-explanatory (easy to cite) and that also opens the door to further exploration with downloadable resources, comparisons, or case studies.
Furthermore, generative search has a direct effect on how purchasing decisions are made. AI assistants behave like Prescribers always availableIf, when users ask for "best email marketing platform" or "best VPN," your brand appears among the summarized options, you automatically enter the user's consideration set. If you're not mentioned, it's as if you don't exist in that scenario.
Among the benefits of working well with GEO and its presence in generative engines are the organic visibility without paying for ads, the highly qualified traffic that arrives when the user decides to delve deeper, the reinforcement of sector credibility and an active 24/7 brand presence in conversations that happen directly within the AI.
Classic SEO, SEO + AI, GEO, AEO, NSEO… how all the pieces fit together
It's important to make something clear: Google isn't dead, and neither is SEO.What has changed is the playing field. Google still handles the vast majority of global searches, processes billions of queries daily, and maintains an overwhelming market share. What is transforming, however, is how it allocates attention and presents information to the user.
In this new context, we can understand the evolution of digital visibility as a series of complementary layers. Traditional SEO The foundation remains the same: focusing on relevance, authority, technical accessibility, internal linking, user experience, and everything else we already know. Without that foundation, it's difficult for AI to consider you a reliable source.
The approach appears on top of that infrastructure. AEO (Answer Engine Optimization)This approach prioritizes directly answering specific questions through clear snippets, FAQs, structured content, and easily extractable data. It aligns well with formats like featured snippets or FAQ blocks that Google and other search engines use to guide users.
And finally, the layer of GEO (Generative Engine Optimization)This goes a step further: it's no longer enough for your content to be easy to index and display; it must be optimized for a generative model to cite, recommend, and correctly incorporate it into its responses. This is where aspects such as data density, semantic clarity, brand mentions, presence in tertiary sources, and alignment with the conversational intent of the queries come into play.
Some industry players also speak of NSEO Next-generation SEO, KIO (optimization for artificial intelligence), AIS (AI search), or DSO (Deep Search Optimization) are different labels for the same thing: we're entering a phase where optimizing for search engines means optimizing for both the traditional index and sub-index. generative engines and hybrid experiences type SGE or SGEO.
Where GEO has the greatest impact: key sectors and search types
Not all sectors are affected equally by the rise of generative search engines. There are areas where AI-generated search results are already a customer acquisition channel. tangible and measurablewhile in others traditional SEO continues to reign supreme.
In the field of technology and SaaSFor example, most searches stem from very specific needs: “what tool to use for…”, “best software for…”, “alternative to…”. These are ideal queries for generative answers that compare, synthesize, and recommend tools. Content such as comparisons, solution guides, or articles focused on use cases has a high probability of being used by AI.
Something similar happens in health, wellness and highly specialized contentSearches are complex, require context, and demand rigor. Generative search engines tend to synthesize information from sources considered reliable, so quality, depth, and editorial authority carry even more weight. In these environments, being cited by AI not only helps with visibility but also builds trust.
In sectors such as finance, insurance and professional servicesMany search queries have a strong informational component: understanding products, comparing options, and assessing risks. Educational guides, analyses, and step-by-step explanations are perfect for a generative search engine to craft an answer. Brands that manage to establish themselves as specialized references have a much greater chance of appearing in those recommendations.
Beyond specific sectors, it is worth looking at the search intentionWhenever we're dealing with clearly informational or educational searches ("what is…", "how does… work", "differences between X and Y"), the likelihood of the search engine displaying a generative block increases. This is also true in complex e-commerce purchase processes, where the user wants to read buying guides, comparisons, or reviews before making a decision.
In what scenarios will traditional SEO continue to dominate?
In contrast to some catastrophic narratives, it must be emphasized that declaring SEO dead is a diagnostic errorThere are niches where generative search will have a relatively smaller weight for quite some time and where classic positioning techniques will continue to be the decisive factor.
One of them is the local businessRestaurants, dental clinics, workshops, local shops, nearby services… What matters here is having a good presence on Google Maps, a complete business profile, solid reviews, and a website that quickly resolves the search. A user searching for “physiotherapist near me” doesn't need ChatGPT to write a thesis: they want a nearby location, opening hours, prices, and reviews.
Also in ecommerce with a purely transactional intent Traditional SEO remains powerful. Queries like “buy cheap size 42 sneakers” or “i7 16GB laptop on sale” still generate productive results: listings, Google Shopping, and category pages. In these cases, AI can provide some context, but the click almost always goes to the best-optimized product page.
El current affairs content and news These are another area where generative search engines struggle to compete. Specialized media outlets and blogs rely on immediacy and appearing in Google News, Top Stories, and fresh results. AI, which feeds on previously published information, often with a delay, cannot replace the importance of effective trend SEO here.
Finally, there are the brand and navigational searches (“login X”, “official website Y”, “company name Z”). In these cases, people know exactly where they want to go. AI is unnecessary here: what matters is having a strong domain, clear sitelink results, and a clean online reputation.
SGE, AI Overviews and SGEO: Google's new showcase
Amid all this change, Google has moved especially quickly with its Search Generative Experience (SGE), which shapes the well-known AI Overviews: AI-generated response blocks that appear in a very high percentage of informational queries and in a relevant part of commercial searches.
These AI Overviews are already reaching hundreds and hundreds of millions of users These search results are updated monthly and are becoming the standard for many complex searches. From a brand perspective, this represents a new channel: brands not only have to compete for the top ten positions, but also for a spot in that expanded result at the top of the page.
One particularly striking fact is that the first organic result It is not always cited in AI Overviews. In more than half of the cases on desktop and in an even higher percentage on mobile, the AI section omits the link that leads the traditional ranking and opts for other sources considered clearer, more structured, or more specific to the user's question.
This opens a window of opportunity for sites that don't dominate the first position but perform very well in the GEO formatIn other words, websites with very well-organized content, direct answers, concrete examples, statistics, and clean semantics that make it easier for AI to select them as a reference, even if they are not "the kings" of the classic SERP.
From this point, approaches such as the SGEO, which combines traditional SEO optimization with a specific layer geared towards SGE: prioritizing entities, structured data, natural language, reinforced authority strategies and intensive use of FAQs and sections aimed at directly answering the most common questions.
Practical guidelines for appearing in generative responses
In this new scenario, positioning is no longer about writing more, but about write better and in a way that's more aligned with how AI consumes content. There are a number of specific guidelines that help make your pages candidates for inclusion in generative blocks and chatbot responses.
The first is to answer very precise questions with direct paragraphsDefinitions, clear step-by-step lists, cause-and-effect explanations, and pros and cons work particularly well. Think about the type of paragraph that might appear as a short answer to a question and make it easy to understand, ideally at the beginning of each relevant section.
Another key element is to include verifiable data, figures and quotes from reputable sources. Recent studies show that pages with well-documented statistics have much greater visibility in generated responses than texts that lack references. AI aims to minimize the risk of providing incorrect information, so it relies on sources that demonstrate rigor.
La content structure This also becomes fundamental. Clear subheadings, concise paragraphs, lists when they add clarity, examples that illustrate abstract concepts… All of this helps the model identify which fragments are useful for an answer and how to assemble them.
Finally, it's crucial to keep the essentials up to date: dates, indicative prices, screenshots, and tool names. Generative search engines tend to favor recent content, especially for topics that change frequently. Regularly reviewing your main pieces is now an essential task.
GEO strategies: how to optimize for generative search engines without abandoning SEO
If you've been working for years Solid SEOYou've already made significant progress in optimizing for generative engines. The fundamentals remain the same: valuable content, technical accessibility, and authority. Even so, it's worth reinforcing some specific tactics geared towards the current behavior of AI models.
To begin with, it is key to publish consistently. relevant and well-focused content Focus on the topics you want to master. The more search engines associate your brand with a set of specific concepts and problems, the more likely they are to use you as a reference when a user asks a related question.
It's also important to make sure your content is easy to track and process by AI crawlers. Avoid making the most important parts depend exclusively on client-side JavaScript execution and, whenever possible, opt for server-side rendering or directly accessible HTML content.
Another front is that of the external brand mentionsGenerative models give considerable weight to what is said about you on other sites: media outlets, specialized blogs, directories, forums, and UGC platforms. Working on digital public relations, content collaborations, and maintaining a presence in relevant communities becomes another piece of the GEO strategy.
We must not forget the part about Authority and Trust (EEAT)The more demonstrable experience your content reflects (real cases, your own examples, authors identified with biographies), the more likely both traditional search engines and generative search engines will be to consider you a reliable source.
Tools and measurement in generative search environments
Measuring visibility in generative environments is more complicated than tracking classic positions, but tools are gradually emerging that allow you to get a reasonable idea of how these systems perceive you and how much indirect traffic they may be generating for your brand.
Platforms like Phrase They help identify users' real questions and structure answers and FAQ sections that are more likely to be cited, both in traditional SERPs and in generative experiences. They are useful for building coherent and well-interconnected thematic clusters.
Others like MarketMuse They allow you to identify gaps in your content coverage and suggest improvements to strengthen subject authority, which is vital when models look for sources that dominate a niche broadly and deeply rather than isolated articles.
Specific AI-oriented tools, such as Mangools AI Search Grader The AI modules of large SEO suites offer guidance on your site's potential presence in generative responses and help you prioritize pages for optimization. Semrush, for example, has a AI SEO Toolkit and Enterprise Solutions to monitor brand mentions, sentiment, and voice engagement in AI assistants.
Beyond the tools, it is advisable to incorporate new metrics into your dashboards: frequency with which AI uses information from your content, detectable references in sources such as Perplexity or Google summaries, and the behavior of users who arrive from generative environments even if the final click occurs on a classic link.
User experience, B2B UX, and humanized content in the age of AI
Alongside technological changes, generative search is raising the bar for user experienceThis is especially true in B2B contexts where decisions are complex and user time is limited. In these environments, a website can no longer be a simple catalog and form: it must convey a value proposition, brand personality, and trust.
UX and SEO experts agree that the B2B user experience It is no longer optionalbut rather part of the business model itself. When generative search engines offer the user a "pre-filter" of information, the websites that receive the subsequent click must provide more than just generic data: they need clarity, navigability, and a tone that connects with the people behind the company.
This involves working in depth on the pillars of AEO and GEO But also take care of the design and copywriting layer: clear messages, language adapted to the audience, an honest explanation of why to choose your brand over others and a less rigid approach in B2B, where an overly cold and corporate tone has often been abused.
In this context, many organizations are rediscovering the importance of Humanizing B2B communicationStop talking only about what you do and focus on why you do it, what real problems you solve, and how you help users make better decisions. AI can summarize information, but it can't replace a well-communicated value proposition and a seamless digital experience.
Ultimately, optimizing for generative search engines is not just about "writing for the machine." It's about building an ecosystem of content, reputation, technical structure, and user experience capable of convincing both algorithms and the people who, in the end, decide who to work with, which brand to believe in, and where to spend their time and money.
