Mafalda Martins For years, SEO (Search Engine Optimization) was practically synonymous with sustainable digital growth: publishing optimized content, earning backlinks, improving page experience, and waiting for search engines to reward us with steady traffic. But we are now witnessing a structural shift in which “traditional” organic traffic is facing strong erosion, particularly in informational queries, and much of this decline is directly related to the popularization of Artificial Intelligence tools and the new ways of presenting answers in search interfaces.
In this article we will explore:
- The phenomenon observed (decline in organic traffic)
- Why this is closely linked to the rise of AI and answer engines (AI Overviews, chatbots, etc.)
- The specific factors that explain the loss of clicks
- Adaptive strategies to mitigate the impact and reinvent approaches to content and visibility
- Future scenarios and practical recommendations to avoid becoming obsolete
The phenomenon: many websites reporting traffic drops
In recent months, various sites and agencies have reported a worrying trend: sharp declines in organic traffic from search engines such as Google. What until recently was considered the most stable foundation of digital acquisition is now beginning to show fragility. Pages created to answer common questions such as “what is,” “how to,” or “complete guide to a certain topic” are among the hardest hit.
The difference compared to previous years is striking. Many sites still appear in search results, impressions have not dropped significantly, but clicks have plummeted. The explanation lies in the increasingly frequent phenomenon of so-called zero-click searches: the user finds the information they need directly on the results page and feels no need to visit the website. This trend, which was already growing, has taken on a new dimension with the introduction of AI-generated answers at the top of SERPs.
Why AI is behind this decline
Google and other search engines are turning into answer engines. Instead of just presenting a list of links, they now offer summaries generated by language models. Known as AI Overviews, these summaries provide concise and often complete answers, accompanied by citations to sources. For the user, the value is obvious: less time spent, greater clarity, and the ability to obtain an immediate answer to their question.
However, this convenience comes at a high cost for content producers. Whenever a summary answers the question satisfactorily, the probability of a click drops dramatically. Statistics confirm the impact: studies by Ahrefs show that the click-through rate of the first position can fall by more than one third when an AI Overview is present on the page.
Beyond the technological shift, there is also a cultural and behavioral change. Users have become accustomed to instant, reliable, and simplified answers. Searching, opening multiple pages, comparing information, and forming an opinion has become an effort many prefer to avoid. The search engine thus becomes not only the provider of information but also the decision maker.
Another critical point is how these AIs select the sources they cite. Most of the time, they favor sites already recognized as authorities, with strong reputations and solid backlink histories. This means smaller brands or sites specialized in emerging niches are at a disadvantage. If they are not included in these answer blocks, they become virtually invisible to a large part of the audience.
In short, the logic has changed. What used to be an equation of ranking plus clicks has turned into an equation of answers plus visibility. Being well positioned no longer guarantees traffic, and success is often measured by the ability to be cited in an AI summary.
Key factors explaining the loss of clicks
The decline in organic traffic does not result from a single element, but from the combination of several forces. The presence of AI blocks at the top of SERPs is the most obvious, as it pushes traditional results down and absorbs user attention. Added to this is the growing popularity of zero-click searches, in which the user’s journey ends within the search engine itself.
There is also the issue of competition for authority, which favors large brands and makes life harder for smaller projects. Reduced link visibility, often hidden below the initial fold of the page, also contributes to declining click-through rates. Finally, content that is too generic or easily replicable by AI loses relevance, as machines can condense it into a few sentences without much loss of value.
In summary:
- Presence of AI Overviews pushes results down and reduces CTR.
- Zero-click searches end the journey before the website.
- Competition for authority means smaller sites lose ground.
- Displacement of links below the fold decreases visibility.
- Generic content is easily synthesized by AI and loses value.
- Exclusive focus on CTR ignores the new metric of visibility in AI.
Strategies for adaptation and mitigation
If the scenario has changed, the response cannot be business as usual. The first adaptation is understanding that it is no longer enough to optimize only for traditional search engines. A new concept is emerging: Answer Engine Optimization (AEO) or Generative Engine Optimization (GEO). The goal is to make content easier for AI models to extract and cite. This requires creating direct and clear answers before the detailed explanation, using verifiable data, structuring information logically, and adopting a conversational tone aligned with how users ask questions.
Another adaptation front is focusing on niche queries. While AIs handle generic questions well, they still fail in technical, contextual, or highly specific topics. Specialized sites can regain ground here, offering depth and practical expertise that is hard to replace with a generic AI summary.
Building authority also becomes essential. It is not just about collecting backlinks but reinforcing credibility through collaborations, media presence, frequent updates, and demonstrating author expertise. The stronger the perception of trust, the greater the chance that AI will cite the content as a reference.
Another path is diversifying channels. Relying solely on traditional organic traffic has become risky. It is necessary to explore communities, forums, social networks, video, audio, and even new conversational search platforms like Perplexity or Gemini. Content distribution should be broader and less dependent on a single ecosystem.
In addition, metrics must be rethought. Measuring only clicks no longer reflects reality. Brands need to track mentions, citations in AI blocks, visibility in answer engines, and above all, real impact on leads and conversions. Value lies less in volume and more in the quality of attention captured.
Finally, none of these strategies will work without a mindset of experimentation. We are in a transitional phase with no universal recipes. Testing formats, monitoring results, revising content, and iterating quickly will be the key to discovering what works in each niche.
Future scenarios and what to expect
Despite all these changes, organic traffic will not disappear. It will continue to exist, especially in navigational and transactional searches, when the user looks for a specific brand or intends to buy a product. What is expected, however, is significant compression in informational traffic, which for years sustained many digital projects.
At the same time, there is growing expectation that AI-based searches may surpass traditional searches in the coming years. If this prediction materializes, the weight of AI-focused optimizations will become increasingly decisive. This will bring a cultural transformation: information discovery will be mediated by language models rather than direct interaction with web pages.
This new paradigm also raises risks of power concentration. Recognized sites and brands will naturally have an advantage, consolidating their position while smaller ones struggle for visibility. To mitigate this risk, it will be essential to act early, build authority, and find spaces where AI still cannot compete in depth.
The future, it seems, will be hybrid. Classic SEO will retain value but will coexist with practices designed to ensure presence in answer engines. Those who can combine both worlds will be better positioned to face the next decade.
Conclusion
The decline of organic traffic does not mean the end of SEO, but rather its deepest transformation since the emergence of search engines. The issue is not just ranking, but how information is consumed. Brands that continue to measure only clicks will lose relevance, while those that understand the importance of visibility in AI answers will be prepared to thrive. In the short term, it is essential to audit the most affected content, reformat articles into more direct and testable formats, invest in authority, and diversify distribution channels. In the medium term, it will be crucial to adapt metrics, explore specific niches, and adopt a culture of continuous experimentation.
More than ever, digital success will depend on the ability to reinvent oneself. SEO is not dead, but the game has changed — and those who learn to play faster will gain the advantage. In this context, the world of Marketing and Technology is in constant evolution, and it is increasingly important to rely on specialists who ensure the integration of innovations within companies. For technology to truly contribute to business success, a clear strategy is indispensable — one that guides the implementation, adoption, and evolution of systems.