One of the most watched topics in digital marketing lately has been GEO, or generative engine optimization. In many markets, it has moved into the mainstream business narrative, and I am seeing agencies and consultants positioning it as the next frontier of brand visibility and search growth. Yet, I find that narrative a little simplistic.
Yes, generative search’s influence is expanding. It is already changing how people discover information, compare options and form their first impressions of brands. Yet I do not see concrete evidence to support that GEO is replacing SEO. While AI is reshaping the front end of search behavior, particularly for informational and long-tail queries, high-intent conversion traffic still mainly comes from traditional search results, branded search and paid search.
Therefore, I think companies are asking the wrong question. The question is not whether AI-driven discovery matters, because it does. The question should be which parts of the search funnel are affected first, and how that affects content strategy and performance.
The Real Disruption Starts At The Top Of The Funnel
The clearest change so far appears at the top of the search funnel. The Pew Research Center found that when an AI summary appears, users are less likely to click on traditional search results. Users clicked on a standard result 8% of the time when an AI summary was shown and 15% when there were none. At the same time, when an AI summary appeared, users were more likely to end their session without taking any further action.
This suggests that the AI summary layer is now absorbing some of the information-gathering behavior on publishers’ and brands’ websites. This indicates that the search layer for research and information filtering is being restructured, not a collapse of commercial search.
At the keyword level, AI-generated results are mostly displacing informational long-tail queries rather than transactional searches. Even as AI overviews expand into commercial and navigational searches, informational queries still have the largest share of trigger patterns. Kongfuseo’s research has also found that question-led searches, with longer, specific queries, are more likely to trigger AI-generated summaries.
AI Is Reshaping Discovery, Not Demand
AI does not absorb the core traffic value of the entire search economy, but the exploratory and comparative queries that occur at the early stages of decision-making. The searches most vulnerable to the AI answer layer are those furthest away from conversion.
This explains why companies did not experience a commercial-traffic collapse. Google has stated that, overall, organic clicks from Search are relatively stable year over year, while average click quality has improved. It points to a more realistic pattern: Lower-value clicks are being filtered out, while the visitors who remain arrive with clearer intent.
Performance data from AI-referred traffic supports the same conclusion. Adobe’s reporting shows that AI-driven retail traffic demonstrates stronger engagement than non-AI traffic, including lower bounce rates, longer time on site and more pages viewed per session.
While AI-referred traffic conversion rates are lower than traditional search, Similarweb found that AI-generated referrals are growing rapidly and showing conversion potential. Moreover, Similarweb also pointed out that generative AI is complementary to search, not a replacement.
I agree with that conclusion. AI traffic may not always have larger volume, but it is becoming more mature, with users arriving with more focused intent before they even reach the website. In other words, AI is not replacing search but reorganizing it.
The Emerging Shape Of The Search Journey
I see consumers now using AI interfaces to complete their first round of evaluation, like narrowing down options or researching pros and cons. But when they compare prices and specifications, check credibility and purchase, they still rely heavily on brand websites, standard search results and paid search.
That is why “SEO versus GEO” can be misleading. They are not two competing systems. GEO depends on the same fundamentals that SEO has always required, like:
• Well-structured and crawlable pages
• Complete product and service information
• Consistency across the web
• Topical depth
• Brand authority
• Third-party references that reinforce trust.
If these foundations are weak, no amount of so-called AI-friendly content will create a durable advantage.
GEO Is Built On SEO
SEO remains the foundation for search visibility. GEO is the additional layer, influencing whether a brand is cited or summarized in AI-generated answers. SEO determines a company’s discoverability and conversion capability in traditional search environments. GEO influences a brand’s visibility during the research and recommendation stage. They work in tandem toward the same goal. With this system, companies have a clear way forward.
It is better to treat GEO as part of the overall search strategy. For businesses that still have unresolved SEO fundamentals like weak site architecture, incomplete commercial pages or inconsistent brand signals, it is too early to treat GEO as a growth strategy. SEO will continue capturing high-intent traffic and strengthening conversion-oriented content. GEO is better for improving visibility in answer-driven environments and third-party validation.
This is also why companies need to adjust both their strategy and how they measure performance. Beyond ranking, we must measure if the brand enters the answer layer, how it is described once it appears there and whether that visibility brings higher-quality visitors into the later stages of the conversion funnel.
What Companies Should Track Going Forward
AI will keep reshaping search behavior. More discovery journeys will begin in conversational interfaces, and more upper-funnel traffic will be preprocessed before users ever arrive on a website. This signals that the search landscape is moving from a single-layer to a dual-layer competition.
The first layer is the AI answer layer, where it’s important whether a brand is included, how it is interpreted and whether it is considered credible enough to be surfaced. The second is the traditional search layer, where user intent is captured, evaluated and converted into commercial outcomes.
For brands, future search competition will depend on building both layers. For consumers, this will mean better access to structured information and better comparison. In Kongfuseo’s view, that is GEO's long-term values. GEO should be taken seriously but not mythologized.
The blog can also be viewed at: https://www.forbes.com/councils/forbesbusinesscouncil/2026/05/15/geo-matters-but-seo-still-wins-conversions/
