Why Fun Shopping is the New SEO Winner

Every January, we set resolutions for our businesses. Improve conversion rates. Reduce cart abandonment. Optimize for mobile. These are all worthy goals, but I’ve been thinking about something different lately.

What if this year, instead of focusing on metrics that benefit us, we focused on creating experiences our customers actually enjoy?

Not in a vague “customer-centric” buzzword way. Something more specific: what if we made shopping genuinely fun?

I had a conversation recently that helped me think about this differently. I was talking with someone in e-commerce about why engagement matters, and he kept coming back to conversion rates and traffic numbers. I couldn’t quite explain what I meant until I tried a different analogy.

“Think about video games,” I said. “The way to get people to play a video game is to make it fun. Players play longer. They come back more often. They explore more deeply. Not because they have to, but because they want to.”

He stopped. “Oh. That’s… actually, yeah. That’s what keeps me coming back to games I love.”

That conversation stuck with me.

The Video Game Principle

Video games figured out engagement decades ago. The best ones don’t force you to play—they make you want to play. They reward exploration. They make discovery feel satisfying. They create moments that keep you coming back.

When you’re playing a game you love, you’re not thinking, “I have to finish this level.” You’re thinking, “I wonder what’s around that corner. Let me try this path. Oh, that was cool—what else is here?”

That’s genuine engagement. Not obligation. Enjoyment.

The same principle applies to shopping.

What 35 Years of Catalog Design Taught Me About Shopping

I spent 35 years designing catalogs and direct mail. That’s thousands of layouts, millions of impressions, constant testing of what makes people flip through pages versus what makes them toss the catalog aside.

The great catalogs—the ones people actually spent time with—had something in common: they made browsing fun.

The layouts drew your eye naturally from one product to the next. Related items appeared together in ways that made sense. The visual flow felt effortless. You’d start looking for one thing and suddenly realize you’d been browsing for ten minutes, discovering things you hadn’t planned to look for.

That wasn’t accident. It was design. Intentional decisions about layout, flow, visual hierarchy, and how products related to each other on the page.

And here’s what I’ve noticed since moving into e-commerce: most online shopping experiences have lost that.

Search bars ask customers to describe exactly what they want. But catalog shoppers didn’t always know what they wanted—they browsed until something caught their eye.

Filters require systematic narrowing: type, size, color, price range. But catalog layouts showed you options visually, letting your eye do the filtering naturally.

Product pages show one item at a time, isolated from context. But catalogs showed items in relationship to each other—”this goes with that, which works beautifully with this other thing.”

These online approaches are functional. They help people who know exactly what they want find it quickly. And that’s valuable.

But they’re not fun. They don’t create that flow state where browsing becomes enjoyable. Where discovery feels natural. Where you look up and realize you’ve been exploring for longer than you planned because the experience itself was satisfying.

That level of enjoyment isn’t a luxury. It’s what kept catalogs on coffee tables instead of in recycling bins. And it’s what online shopping needs more of.

What “Fun Shopping” Might Look Like

When I think about my best in-person shopping experiences, they weren’t the most efficient ones. They were the ones where I got pleasantly lost.

The bookstore where I wandered into sections I hadn’t planned to visit and found something unexpected. The boutique where one great piece led me to three others I wouldn’t have thought to look for. The farmers market where part of the joy was just seeing what looked good as I walked through.

Those experiences shared something: discovery felt rewarding, not exhausting.

I’ve been thinking about what that might look like online:

Visual discovery instead of always searching. Sometimes people want to browse, not hunt. They want to see collections, combinations, possibilities—not just search results.

Natural exploration instead of targeted efficiency. What if finding related products felt easy and inviting rather than like clicking through to more isolated pages?

Room for serendipity. Some of the best purchases are the ones you didn’t plan to make—the ones you discovered while looking at something else.

Valuing browsing, not just buying. Not every visit needs to end in a purchase. Some visits could just feel enjoyable enough that people bookmark your site and come back when they’re ready.

Why This Feels More Urgent Now

You might be wondering if this is just philosophical musing. “Nice idea, but does it actually matter?”

Here’s what changed my thinking: when Google launched AI Mode in 2025, we started seeing data that suggested something important.

The algorithm shifted to weigh engagement signals much more heavily: how long users stay, how many products they view, whether they return, how deeply they interact.

And here’s what became clear: you can’t fake engagement. You can’t trick the algorithm into thinking users are engaged when they’re having a frustrating experience.

But when shopping is genuinely enjoyable? Engagement happens naturally. People stay longer because they’re interested. They view more products because discovery feels rewarding. They come back because the experience was satisfying.

That’s not manipulation. That’s just… making something people actually like using.

A Question Worth Asking

“When someone shops here, do they enjoy the experience—or is it just functional?”

Not “Does it convert well?” or “Is it optimized?” Those things matter. But they ensure your store works. They don’t necessarily make it enjoyable.

Some questions I’ve found helpful:

  • When someone lands here, do they feel invited to explore, or immediately pressured to know what they want?
  • Can they discover things they weren’t specifically searching for?
  • Does browsing feel easy and natural, or does it require a lot of effort?
  • Would someone save this site just because they enjoyed the experience, even if they’re not ready to buy?
  • Are there reasons to come back beyond needing to purchase something?

I don’t have perfect answers for my own work. But asking the questions has been clarifying.

Thinking Like a Game Designer

Video game designers spend a lot of time on questions like: “How do we reward exploration? How do we make discovery feel satisfying? What makes players want to come back?”

I’ve started wondering if e-commerce folks should ask similar questions.

Not by adding gamification gimmicks—points, badges, spinning wheels. But by thinking about the fundamental experience of browsing a store. Does it feel like exploring something interesting? Or does it feel like completing a task?

The answers will vary by store and what you sell. But the principle might be universal: when something is genuinely enjoyable, people naturally engage more deeply with it.

That could mean showing products in visual collections instead of endless grids. Creating natural pathways between related items. Letting people save favorites and build their own collections. Designing for discovery, not just search-and-purchase.

The specifics depend on your store. But the question is worth exploring.

Could 2026 Be Different?

Most New Year’s resolutions for e-commerce stores look similar: optimize this, improve that, increase the other thing. All worthy goals.

But maybe this year could include something different. Not instead of those things—alongside them.

What if we spent some time making our stores more enjoyable to shop? Not in a vague way, but in specific, tangible ways that make browsing feel less like work and more like… well, like something people might actually want to do.

Because when shopping is fun, something interesting happens. People stay longer. They explore more. They come back more often. Not because we optimized them into it, but because they genuinely enjoyed themselves.

And in 2026, when engagement signals matter more than ever, that might not just be nice to have.

It might actually be smart strategy.

If you’re curious what engaging, enjoyable shopping can look like, the Stylaquin demo store has some examples of visual, magazine-style browsing that makes exploration feel more natural.

Happy New Year. Here’s to making online shopping fun!

What Google’s AI Mode Launch Taught Us About the Future of Organic Traffic

In May 2025, something big changed in how Google search works. It came without fanfare, and many store owners missed it at first. By mid-summer, the impact was undeniable: organic traffic patterns had shifted dramatically.

Some stores saw 30-50% traffic drops. Others, counterintuitively, saw massive increases. One store we track saw a 700% spike in organic traffic during the exact timeframe these changes rolled out.

What changed? Google launched AI Mode, and it altered how the search engine evaluates which sites deserve organic traffic.

Understanding what happened, and why some sites won while others lost, is more than interesting history. It’s critical intelligence for your 2026 strategy, because AI Mode is here to stay. It’s Google’s future direction for search.

What Is AI Mode? (And How Is It Different From Regular Search?)

Before May 2025, Google search worked in a familiar way:

You typed a query, Google showed a list of blue links, you clicked one, you got your answer.

Sometimes you’d see AI Overviews (formerly called Search Generative Experience) at the top, short AI-written summaries with cited sources. Traditional search results still appeared below.

AI Mode changed everything.

Introduced in May 2025, AI Mode doesn’t show traditional search results at all. Instead, Google’s Gemini AI model runs multiple background searches, synthesizes information from across the web, and generates a complete answer in a conversational format.

No list of links, no traditional “results page,” just an AI-generated response with some cited sources embedded.

For certain types of queries, AI Mode became the default experience. And Google clearly signaled this is where search is heading.

Why Google Launched AI Mode

Google didn’t build AI Mode to hurt websites. They built it to solve a real problem: people were getting frustrated with traditional search.

Consider a query like: “What should I know before buying a road bike?”

Traditional search gives you 10 blue links to different articles. Each article answers part of the question. You open multiple tabs, piece together information yourself, and it takes 15-20 minutes.

AI Mode gives you one answer that synthesizes multiple sources, organized by topic, covering the most important considerations. It takes 2-3 minutes to read.

For informational queries, where someone just wants to learn something, AI Mode is objectively better. Faster, more efficient, less cognitive load. Google knows this, which is why they’re pushing AI Mode aggressively.

The Zero-Click Problem (And Why Many Sites Lost Traffic)

The painful part hits website owners hard.

When AI Mode answers someone’s question fully, they don’t need to click through to any website. The query ends right there with zero clicks. The data is stark.

For news-related queries, zero-click results increased from 56% to 69% between early 2025 and mid-2025. That means over two-thirds of searches end without anyone clicking a traditional link.

For informational queries, the percentage is even higher. People get their answer and move on.

The result: many content-driven sites saw traffic drop 30-50% starting in May 2025. Publishers, blogs, how-to sites, anyone whose primary value was “answering questions” got hit hard.

If your site’s main purpose is providing information that AI Mode can summarize, you’re competing with a summary that appears before users ever see your link. That’s a losing battle.

But Some Sites Saw Traffic Increase

Here’s what confused everyone: while most sites lost traffic, some saw dramatic gains during the exact same timeframe.

We tracked one e-commerce store that saw 700% organic traffic growth starting in mid-May 2025, precisely when AI Mode launched.

This was no fluke. Other stores with similar characteristics also reported growth.

What made the difference?

AI Mode needed to learn something new.

When AI Mode answers a question, it’s synthesizing information it found on various websites. But how does Google’s AI know which websites to trust? Which ones actually deliver value?

Google’s AI can no longer rely on traditional SEO signals (keywords, backlinks, domain authority) alone. Those tell you if a site theoretically should be good. They don’t tell you whether users actually experience it as valuable.

So Google started weighting engagement signals far more heavily. These are behavioral indicators that users find genuine value: dwell time (how long users stay before returning to search), pages per session (how many pages users explore), return visits (do people come back), interaction patterns (scrolling, clicking, adding to cart, engaging with content), and bounce-back rate (do users immediately hit “back” and try a different result).

These signals tell Google’s AI: “Users actually liked this site. They explored. They engaged. They came back.”

Sites optimized for engagement, beyond just information delivery, thrived under AI Mode.

The E-Commerce Advantage No One Expected

Here’s the counterintuitive insight: e-commerce sites with high engagement had an unexpected advantage when AI Mode launched. Shopping is more than answering questions, it’s about discovery, exploration, and experience.

Consider these two scenarios.

Store A (Low Engagement): User searches for fabric and lands on the store. They view a couple of products, spend about 90 seconds on the site, then leave. They don’t return.

Store B (High Engagement): User searches for fabric and lands on the store. They view 8-10 different fabrics, spend 5+ minutes exploring, and bookmark the site. They return the next day and again later that week.

The difference isn’t what the stores say they offer. It’s what users actually do when they get there. Store B creates an experience where shoppers naturally view more products, stay longer, and come back. That behavioral difference is exactly what AI Mode learned to recognize as genuine value.

All the content that used to count is now mostly ignored.

Real Data: What “Winning” Looked Like

Let’s look at the concrete numbers from that store that saw 700% traffic growth.

This store installed Stylaquin in February 2024. Over the following 15 months, shoppers who used Stylaquin’s visual browsing features engaged very differently than those who shopped traditionally. By May 2025, when AI Mode launched, the engagement difference was stark.

Comparing shoppers who used Stylaquin versus those who didn’t: session duration moved from 4:06 to 5:24 (32% longer), products viewed per session moved from 4.9 to 10.0 (104% more), events per session moved from 5.3 to 11.2 (111% more), returning visitor rate moved from 14.5% to 26.2% (80% higher), and returning visitor conversion moved from 3.76% to 8.13% (116% higher).

These came from individual shopper behavior, measured precisely. Shoppers who engaged with Stylaquin’s Idea Boards viewed twice as many products, stayed 32% longer, and came back 80% more often than shoppers who used traditional product grids.

Their site went beyond just getting traffic. It was keeping users genuinely engaged.

When AI Mode launched and started evaluating sites based on engagement signals, Google’s AI saw exactly what it was looking for: a site where users explore, discover, interact, and return.

The result? 700% organic traffic growth during the period when most sites were declining.

Why This Matters for 2026

AI Mode is permanent. It’s Google’s long-term direction.

Google announced in late 2025 that they’re expanding AI Mode to more query types. The zero-click trend will accelerate. More searches will end without anyone clicking a traditional result.

If your 2026 strategy assumes traditional search results will still dominate, you’re planning for a past that’s disappearing.

Here’s what merchants need to understand. Information Alone Won’t Drive Traffic Anymore

If your site’s primary value is answering questions (“What’s the best [product]?” or “How do I [solve problem]?”) AI Mode will answer those questions before users reach you.

You need to offer something AI can’t replicate: experiential value. Visual discovery, interactive exploration, curated collections, social proof, personal recommendations, the tactile experience of browsing. These create engagement that signals value to Google’s AI.

Engagement Metrics Are Now Primary Ranking Factors

Keywords still matter, backlinks still matter, and technical SEO still matters. But if users bounce immediately, view one page, and never return, the AI learns your site doesn’t deliver genuine value, regardless of your keywords and backlinks.

Track these metrics as closely as you track traffic: average session duration, pages per session, bounce rate (or engagement rate in GA4), returning visitor percentage, and interaction depth (clicks, scrolls, product views). If these metrics are weak, you’re fighting the algorithm.

The Shopping Experience Is Your Competitive Advantage

E-commerce has an inherent advantage in the AI Mode era: shopping is experiential by nature. But only if you design for it.

Traditional product grids where users search, filter, click isolated product pages, and leave? That’s low engagement. That looks like “didn’t find value” to the AI.

Visual browsing where users explore collections, discover related items, save favorites, and explore multiple products in a session? That’s high engagement. That signals “genuine value delivered.”

The stores that thrive in 2026 won’t be the ones with the best product descriptions (AI can summarize those). They’ll be the ones with the most engaging shopping experiences.

Mobile Experience Isn’t Optional

Google uses mobile-first indexing, and mobile users have even less patience for slow, clunky experiences. If your mobile site loads slowly, has tiny buttons, requires pinch-to-zoom, or makes discovery difficult, you’re penalized heavily in AI Mode’s evaluation.

Test your mobile experience weekly and fix issues immediately.

Authority and Trust Signal Real Value

AI Mode needs to know which sites to cite and recommend. Authority signals help: customer reviews and ratings, clear about/contact information, author credentials on content, external mentions and backlinks from reputable sources, transparent policies, and secure checkout (HTTPS).

These are how the AI determines if your site is trustworthy enough to recommend.

The Shift From Keywords to Experiences

The big shift AI Mode represents is this: Google is moving from evaluating content to evaluating experiences.

For 20+ years, SEO was primarily about content optimization. Get the right keywords, structure your pages correctly, build quality backlinks, load fast. If you did those things, you ranked.

AI Mode changes the equation. Now Google asks: “After users reach this site, do they have a genuinely satisfying experience? Do they engage? Do they find value? Do they return?”

Content optimization still matters, but experience optimization matters more.

The merchants who recognize this shift early will dominate organic search in 2026. The ones who keep optimizing for 2015’s algorithm will wonder why their traffic keeps declining.

Start 2026 With the Right Strategy

As we head into 2026, ask yourself these questions.

If AI Mode answers my customers’ questions before they reach my site, why would they click through? If you don’t have a good answer, neither will Google’s AI.

When users do reach my site, do they engage deeply or bounce quickly? If they’re bouncing, the AI is learning your site doesn’t deliver value.

Am I designing for discovery and exploration, or just displaying products? Discovery creates engagement. Engagement signals value. Value drives rankings.

The stores that thrive in 2026 won’t be the ones with the best keywords. They’ll be the ones with the most engaging experiences, because that’s what AI Mode rewards.

Want to see what high-engagement e-commerce looks like? Visit the Stylaquin demo store and experience how visual, magazine-style browsing creates the kind of engagement AI Mode recognizes as valuable.

Google’s AI is watching how users behave on your site. Make sure what it sees signals genuine value.