October 12, 2026
For more than two decades, Google search engine optimization (SEO) followed a straightforward principle: rank near the top of the results page to attract visitors to your website. That model is changing. With features such as Google’s AI Overviews, search results can now include AI-generated summaries that answer questions directly, alongside links to sources.
This shift could affect businesses, publishers and other organizations that rely on organic search traffic. But it does not mean that SEO is disappearing—or that every website will lose traffic. The impact varies by topic and search query, and the longer-term effects are still developing.
Google is becoming more of an answer engine
AI Overviews can summarize information from multiple sources and display an answer near the top of a search results page. That may help users find information without visiting every source. For example, someone researching how to invest in exchange-traded funds might see a summary before the usual links.
This can change how people interact with search results. In a 2026 randomized field experiment, users were less likely to click through to organic websites when an AI Overview appeared. The study found that organic clicks fell by 38% on searches that triggered an overview. Its findings apply to the study’s participants and conditions, rather than predicting the exact effect for every site or query.
What it could mean for website traffic
When a search result answers a question directly, some users may not click through to a website. This can put pressure on publishers, comparison sites and other businesses that depend on organic visits, especially when their content answers questions that can be summarized briefly.
The effect is not uniform. It depends on factors such as the topic, the search intent, the way the results page is presented and whether users still need a detailed explanation, original data, a product or a service. A summary may satisfy a simple informational query, while a complex decision or a need for expert advice may still lead people to visit a source.
What investors should—and shouldn’t—take from the shift
The rise of AI-driven search may create opportunities for companies that provide AI software, cloud services, chips and digital infrastructure. At the same time, businesses that rely heavily on search traffic may need to adapt their customer-acquisition strategies.
These are possible consequences, not guaranteed investment outcomes. A company’s prospects depend on many factors beyond search trends, and increased AI use does not automatically translate into higher revenue or a stronger valuation.
SEO is changing, not vanishing
Traditional SEO remains relevant: search engines still need to discover, understand and assess web content. But ranking well may not be enough to secure a visit when an AI-generated answer appears above the links. There may also be value in being selected or cited as a source in an AI-generated response.
That makes distinctive, trustworthy content important. First-hand experience, original research, expert analysis and useful data can offer value that a generic summary may not. Clear writing, accurate information and a strong reputation can also help readers—and search systems—understand why a source is worth trusting.
From keywords to conversational searches
People have long searched with short phrases such as “best smartphone 2026.” They may also ask more specific questions, such as “Which smartphone is best for night photography under €600?” Search systems increasingly need to interpret the intent behind a query, not just match its words.
For SEO, this is a reason to create useful pages that address real questions and specific needs—not a reason to abandon keyword research. Keywords still help reveal what people are looking for; they work best when paired with content that answers the question clearly and in context.
From SEO to GEO?
“Generative Engine Optimization,” or GEO, is a term used for efforts to improve a brand’s visibility in AI-generated answers. It may be a useful way to describe a new area of search visibility, but it should not be treated as a proven replacement for SEO. The two overlap: well-structured, useful, credible content can matter in both traditional search and AI-generated responses.
A practical strategy is to build a recognizable brand, publish genuinely useful material, support claims with evidence and seek relevant mentions across trusted sources. There is no guarantee that these steps will result in an AI citation, just as no SEO tactic can guarantee a particular ranking.
Why original, human expertise matters
AI tools make it easier to produce large amounts of text, but volume alone does not make content helpful or reliable. Google’s guidance emphasizes content that is useful and trustworthy, rather than content created simply to manipulate rankings. Experience, expertise, authoritativeness and trustworthiness—often summarized as E-E-A-T—are useful concepts for assessing content quality, not a simple checklist or a guaranteed ranking formula.
Real-world product testing, first-hand accounts, original reporting and expert perspectives can help a page offer something more than a broadly available summary. The goal should be to serve readers, not merely to produce content that sounds optimized.
The bottom line
AI-generated answers are changing how people use search and may reduce organic clicks for some queries. For businesses and publishers, that makes it important to understand where their traffic comes from and how dependent they are on a single channel.
SEO is not simply over. It is evolving: rankings still matter, but so do brand recognition, original expertise and visibility in AI-generated results. The organizations best placed to adapt will be those that provide genuine value to readers while building audiences beyond search alone.
My view: I agree with the article’s central point that AI is reshaping search and putting pressure on some traffic-dependent business models. I’d soften its more absolute claims: SEO has not simply “disappeared,” traffic is not falling equally across all sites, and GEO is better described as an emerging complement to SEO than a settled replacement.
Corrections and changes I made:
- Changed “AI” to “AI” consistently in the English title and copy, and translated the article into natural English rather than word-for-word.
- Replaced categorical predictions of a drastic traffic decline with qualified language. I included a study finding a 38% drop in organic clicks for searches that triggered AI Overviews, while clarifying that it does not establish the effect for every site or query.
- Clarified that SEO is changing, not disappearing, and that GEO is an emerging term rather than a proven replacement.
- Reframed the investment section as possible industry effects, not guaranteed winners or outcomes.
- Made the discussion of E-E-A-T more precise: it is a useful quality framework, not a checklist that guarantees rankings.
- Removed repetition and merged overlapping sections on conversational search, AI summaries, GEO and content quality.
