How can UX (and CRO) impact your SEO (GEO)?

For a long time, SEO boiled down to a relatively simple equation: clean code, well-chosen keywords, and high-quality backlinks. Today, Google uses a wide range of behavioral signals to assess a page’s true quality. It no longer just reads your content; it observes how users behave once they arrive on your site.

Core Web Vitals (LCP, INP, CLS) are often referred to as the bridge between UX and SEO, but they are much more than that. Behavioral signals are more subtle, yet just as critical.

But rest assured, Google has just released (May 2026) its official optimization guidelines for generative search, and the message is clear. The fundamentals of SEO remain fully valid, and user experience is one of its cornerstones.

More than ever, SEO and UX go hand in hand. It’s even become second nature in our day-to-day work. On every redesign and every CRO project, we work closely with our clients’ SEO teams. And that’s a good thing, because there was a time when even the slightest adjustment to a block’s placement would spark endless debates.

Pogo-sticking, the first post-click signal

The bounce rate—an indicator that measures the percentage of visitors who leave a site without interacting with it—is often misunderstood. A high bounce rate isn’t necessarily a bad thing. For example, a blog post that is read in its entirety and then closed may have a 100% bounce rate while still satisfying the user.

What interests Google more is pogo-sticking—the behavior where a user clicks on your result in the SERPs, immediately returns to Google, and clicks on a competitor’s result. This signal clearly indicates that your page did not meet the user’s query.

If a user returns to Google less than 10 seconds after clicking on your result, this is interpreted as a failure in relevance. When this behavior occurs on a large scale, it causes your rankings to drop, even if your content is technically optimized.

Information architecture and time spent on the page

Your website's architecture is one of the most underrated UX signals in SEO. Clear navigation doesn't just benefit users; it also guides search engine crawlers, facilitates the distribution of PageRank, and signals the site's editorial structure to the algorithm.

But beyond crawling, it’s the browsing experience that matters. A user lost in a site structure that’s too deep, unable to find what they’re looking for in three clicks or fewer, is a user who leaves. And a user who leaves sends a negative behavioral signal.

The "three-click rule" isn't just a myth among UX designers; it's a measure of friction.

Furthermore, while Google doesn’t officially state that it tracks the time spent on your pages, patents filed by Alphabet and correlations observed by SEO professionals worldwide tell a different story. Dwell time—the duration between clicking on a result and returning to the SERPs—is an implicit indicator of satisfaction.

Content that holds readers' attention for 4 or 5 minutes sends a strong signal. Conversely, a dwell time of 15 seconds on an article that is supposed to be comprehensive is an anomaly that the algorithm picks up on.

Scroll depth completes the picture. A page where 80% of users don’t scroll past the first third of the content raises a simple question: does this content really warrant its length? A page that is too long, poorly structured, or whose value is concentrated at the bottom will be penalized in terms of user behavior before it is penalized by algorithms.

For example, connect your website to Contentsquare to view your scroll heatmaps.

Content readability and visual hierarchy

With the rise of natural language processing models, Google is increasingly able to assess the structural quality of a page—not just what it says, but how it says it.

A wall of text with no white space, no subheadings, and no visuals is a painful reading experience, and Google knows it. The readability of content is directly linked to its engagement rate: the more readable it is, the longer users stay, scroll, and interact.

This point is, in fact, explicitly mentioned in Google’s official documentation on generative AI. The company notes that users “appreciate it when pages are organized into paragraphs and sections, with headings that clearly structure the content.” In other words, what you do for your readers, you also do for the systems that decide which pages deserve to be ranked.

According to data from the Nielsen Norman Group, users read an average of 20 to 28 percent of the content on a web page. Well-structured content is not designed to be read in its entirety; it is designed to be scanned efficiently, with clear value at every level of reading.

Understanding search intent

An internet user doesn’t just type in a keyword; they’re actually expressing a specific need. Two search queries that appear similar on the surface may actually reflect radically different intentions. “running shoes” and “best marathon running shoes” don’t lead to the same page, the same content, or the same user experience.

Search intent analysis involves classifying these queries into four broad categories:

• Informational: The user is looking to understand or learn ("how CRO works"). They expect educational and well-organized content.
• Organic search: The user searches for a specific brand or website ("Welyft CRO agency"). The site typically appears as the top result.
• Marketing: Users compare options before making a purchase ("best CRO agency in Paris"). They are influenced by reviews, comparisons, and social proof.
• Transactional: The user is ready to take action ("CRO audit"). They expect a clear call-to-action, an accessible form, and an immediate promise.

Each category of intent requires a specific UX experience. Ignoring this distinction risks creating a mismatch between what the user is looking for and what they actually find—in other words, pogo-sticking.

The analysis of search intent goes beyond simply classifying search terms. The search volume associated with each query provides valuable insight into the nature of that intent and helps assess demand.

In addition to these fundamentals, a new paradigm has emerged: the shift toward conversational queries driven by the use of large language models (LLMs) or generative AI. With the adoption of these tools, internet users are getting used to formulating much longer, richer, and more contextual queries. These queries, which could be defined as "ultra-long-tail," require content that is not only relevant but also capable of meeting multiple ultra-personalized criteria within a single page.

Web performance as a behavioral indicator

Core Web Vitals are often presented as purely technical metrics, but their real impact on SEO is primarily behavioral.

A slow LCP means a user is waiting. And a user who waits is a user who leaves before even seeing your content. Pogo-sticking can therefore occur not because your page is poorly designed or poorly targeted, but simply because it takes too long to load. Google doesn’t distinguish between these factors; it registers a quick return to the SERPs and interprets it as a failure.

CLS, the visual shifts that cause content to jump around while loading, creates a different kind of friction. Users click in the wrong place, lose their train of thought, and feel disoriented. This disengagement is directly reflected in metrics such as scroll depth and time spent on the page.

Web performance is not an end in itself. It determines your page’s ability to generate positive behavioral signals, and without it, even the best content, structure, and targeting won’t be able to reach their full potential.

A page that loads slowly or is visually unstable never gives the user experience a chance to shine. This is the first issue to address before optimizing anything else.

How does UX improve your GEO?

The rise of response engines (ChatGPT, Claude, Gemini, etc.) has given rise to a new paradigm: GEO (Generative Engine Optimization). The goal is no longer simply to appear in traditional search results, but to be cited and recommended by generative AI models.

GEO doesn't start from scratch. It is largely built on the same foundations as SEO and, by extension, on the quality of the user experience you provide.

This is precisely the official position adopted by Google in its May 2026 publication on optimizing for generative search. In it, the search engine states in no uncertain terms that “optimizing for generative search means optimizing for search in general, and therefore doing SEO.” The reason is crystal clear: Google’s AI Overviews and AI mode rely on the same index and ranking systems as traditional search. When AI constructs an answer, it draws from pages that are already well-ranked organically—that is, those that generate the best behavioral signals. A good UX therefore directly boosts your visibility in the generated answers.

Google goes even further by debunking most of the "SEO hacks" that are out there: no need for an llms.txt file, no need to break down your content into micro-blocks for AI, and no need to rewrite your pages in a special language. What matters is unique content organized for humans and a page that provides a good user experience.

Well-structured, organized, readable content that is perfectly aligned with the search intent is precisely the type of content that AI models prioritize when formulating their responses. These models are trained to identify sources that are clear, authoritative, and easy to interpret—exactly what a good user experience delivers.

Please note, however, that this clarification applies only to Google. For other LLMs (ChatGPT, Claude, Perplexity, Mistral, etc.), we do not yet have any equivalent official documentation regarding their source selection criteria. Each relies on its own retrieval mechanisms, and these algorithms are constantly evolving without public communication.

UX is no longer just an SEO option—it’s a ranking factor

For a long time, there was a tendency to pit these two worlds against each other. Personally, when I was an SEO consultant, I witnessed firsthand the sometimes tense debates between SEO and UX teams. I (on the SEO side) recommended more contextual links on a page to distribute internal link equity using optimized anchor text. On the other side, the UX team wanted to channel the user’s attention and prevent distractions. We each had our arguments, and looking back, we were both right.

Today, this debate no longer really makes sense. Teams need to work hand in hand, and decisions are made with a single priority in mind: the user.

That’s why, at Welyft, SEO is integrated into all our redesign and optimization projects from day one. Thanks to my background in SEO and GEO, this integration comes naturally. We no longer work in silos; instead, we design UX experiences that are fully aligned with search engine requirements.

The goal is twofold: to avoid dramatic drops in search rankings that lead to a loss of traffic at launch, but above all to design a website that is inherently "SEO and UX friendly" and will perform well over the long term.

Because a user experience designed with the customer in mind leads to stronger behavioral signals, better organic search rankings, and, ultimately, measurable growth.

And if you’d like to discuss this, feel free to contact me directly. I’m particularly interested in this topic, and I’m always up for discussing a specific case—whether it involves SEO, UX, or both.