Google AI Overviews and Shopping Ads: The New PPC Battleground

February 2026 data from Similarweb, highlighted by SEO consultant Aleyda Solis, shows a clear shift in how Google is distributing clicks across search results. AI search optimisation stopped being just about AI Overviews months ago and Google is now actively pushing clicks away from organic results straight into paid ad slots. Ecommerce businesses that recognise this shift early can capture serious market share while their competitors are still working out what happened.

Everyone thought AI Overviews would kill both organic and paid traffic, but the reality’s more complicated than that. Google’s using these AI answers as a funnel that pushes users toward Shopping Search Ads and text adverts instead of answering everything outright. For UK retailers, that means the old assumptions about how to split budget between organic visibility and paid media no longer hold.

How AI Overviews Are Shifting Click Share From Organic to Paid

Analysis covered by Search Engine Roundtable in February 2026 shows exactly how click patterns have shifted across major ecommerce verticals. The data, highlighted by Aleyda Solis, compares January 2025 against January 2026 across US ecommerce categories.

Take headphones as an example. Organic results haemorrhaged 23 percentage points of click share between January 2025 and January 2026, tumbling from 73% down to 50%. Text ads picked up 13 of those points and total paid share doubled from 16% to 36%. The jeans category followed the same pattern with organic dropping from 73% to 56%, text ads gaining 9 points and paid share climbing from 18% to 34%.

Greeting cards dropped from 88% organic click share down to 75% in just twelve months, with text ads picking up 7 percentage points of that lost traffic. Online games went from 95% organic to 84% over the same period. These aren’t sectors you’d expect to see major shifts in paid advertising, which makes the consistency of the pattern worth paying attention to.

“Classic organic click share dropped in every single vertical… but the most consistent ‘winner’ wasn’t AI. It was Text Ads (and PLAs in product categories).”

– Aleyda Solis

The pattern holds across headphones, fashion, greeting cards and gaming, which suggests this is a structural change in how Google distributes search traffic rather than a temporary fluctuation.

What’s happening is that Google isn’t killing organic results with AI answers. They’re building a bridge from AI Overviews straight into paid placements. For UK retailers trying to understand where their search traffic is heading, that distinction matters. It’s not that traffic is disappearing, it’s that the route users take to reach your products is changing, and increasingly that route runs through paid placements.

How Google Shopping Ads Work Inside AI Overviews

Shopping ads now live directly inside AI Overview results. Product searches don’t just return an AI-generated answer anymore, they return that answer plus immediate buying options right there on the page. It’s a hybrid experience that blurs the line between informational and commercial search in a way Google hasn’t attempted before.

From Product Research to Purchase in a Single AI Interaction

Hovering over products in AI results now triggers extra details and purchase options without clicking through anywhere. The “Ask about” feature in Google AI Mode removes friction that used to send people bouncing between pages, which makes Shopping ads in these AI results much more effective at capturing attention. Google is basically collapsing the research phase and the purchase phase into one interaction, and paid placements sit right at the centre of that.

UK ecommerce brands need to think about how this affects stock level management when products start showing up in AI Overviews. Conversion patterns from these placements won’t match what you’re used to seeing from regular Shopping positions. Users arriving through AI-generated answers have already had a layer of product comparison and recommendation before they even reach your ad, so they arrive with different intent signals. That changes how you bid and how you structure landing pages.

Google’s not planning to kill paid ads with AI traffic. They’re building bridges between the two, which means retailers who get this integration right can grab clicks that would’ve gone to competitors or organic listings that haven’t adapted.

AI Overview Impact on Google Ads CPCs and Auction Dynamics

More clicks flowing toward paid results means auction pressure is ramping up. CPCs are climbing as competition increases around keywords that used to send most traffic to organic results, and UK retailers are feeling it hardest in ecommerce verticals where the shift has been most pronounced.

That pressure isn’t spread evenly. Product searches triggering AI Overviews with Shopping integration behave completely differently from broad informational queries. Advertisers who previously relied on organic visibility for product terms are now being forced into the auction, and that influx of new bidders is driving up costs. It’s hitting exact match product terms hardest, where commercial intent is strongest. If your bid management isn’t accounting for these shifts, you’ll watch profitability drop even as click volume goes up.

Adjusting PPC Budgets and Bids for the New Organic-Paid Split

Budget allocation has become considerably harder to get right. When retailers built their paid search strategies around predictable organic/paid splits, they weren’t planning for AI Overviews to rearrange the entire click distribution. PPC strategies that worked when organic captured 70-90% of clicks need rethinking when paid accounts for 30-40% or more. That’s not just a budget question. It affects campaign structure, bid strategies and which match types you prioritise across your account.

Attribution modelling gets complicated here too. Click paths look completely different when users interact with AI Overviews first, then hit your Shopping ads, compared to the traditional SERP route. Figure out these pathway differences and you’ll know where to place your bids and spread your budget.

Google Shopping Feed Optimisation for AI Overview Placement

The defensive move is clear enough: increase investment in Shopping ads and text ads for product categories where organic traffic has dropped significantly. But there’s an offensive opportunity too. Retailers who adapt to AI Overview integration early can capture traffic from competitors who haven’t adjusted their approach.

Product Feed Attributes That Influence AI Overview Visibility

Your Shopping feed optimisation strategy needs rethinking. Product titles, descriptions and attributes that perform well in AI-generated contexts aren’t necessarily the same ones that worked for traditional Shopping ad placements. AI systems parse and present product information differently from standard search results, so focus your testing on areas that influence AI Overview placement:

• Product titles that read naturally and include descriptive language AI systems favour when generating recommendations.
• Complete product attributes. Missing fields like colour, material or size limit how and where your products show up.
• Categorisation that aligns with Google’s product taxonomy, not your internal naming conventions.
• Clean data throughout. AI systems surface products more reliably when there’s no conflicting or incomplete information to deal with.

Why AI Overview Traffic Needs Different Landing Pages

Traffic flowing through AI Overview pathways brings users with different intent signals. These shoppers have already had AI-generated product information before they click your Shopping ads, which often means they’re further along in the purchase funnel. Your landing pages and conversion strategies need to reflect that. Someone who’s already read an AI-generated comparison of five headphone brands doesn’t need your landing page to repeat that comparison. They need a clear path to purchase, strong product detail and reasons to choose you over the alternatives.

Balancing budgets gets tricky when clicks start migrating away from traditional results. You’ll likely need to shift money from broad match keywords into exact match product terms, or increase budget in Shopping campaigns where organic visibility has declined. The key is maintaining coverage across your account whilst increasing investment where commercial intent and traffic are concentrating.

PPC Attribution Challenges With AI Overview Click Paths

AI Overviews create attribution challenges that most measurement setups aren’t built to handle. When users browse AI-generated content before converting through your paid ads, traditional attribution models miss significant parts of the customer journey. That interaction layer creates conversion path steps your current tracking wasn’t designed to capture. If you’re still running last-click attribution, it’s worse still because the AI Overview interaction that warmed up the conversion gets zero credit.

Don’t take Google’s aggregate claims about overall traffic referrals staying steady at face value. Total volume might hold across all their properties, but the split between organic and paid clicks shows significant shifts at the category level. Check your own campaign and keyword data rather than relying on their top-line numbers.

Source: Aleyda Solis / Similarweb data, comparing top US ecommerce queries, January 2025 vs January 2026.

When AI Overviews start eating into your organic traffic, you need to know whether those lost clicks are converting through paid channels at a rate that justifies the spend. Cross-channel tracking becomes a headache here because you’re dealing with integrated data across every search touchpoint. UK retailers with both domestic and international campaigns have it worse since AI Overview rollout isn’t consistent across markets yet. The same product category might have completely different organic/paid splits depending on geography.

Treat AI Overview interactions as separate touchpoints within your attribution model. Users who click through AI-generated product suggestions behave differently from traditional searchers and their conversion rates, basket values and lifetime values can vary massively. Spot these patterns and you’ll know where to push your bids and budgets for better returns.

The Future of AI Shopping Ads in Google Search

Google keeps refining AI Overview controls and citation features, which tells you this system is still evolving. The colour-coded citations they’ve introduced (blue for unread sources, grey for read ones) are designed to make the user experience clearer around AI answers. As these features mature, they could change how Shopping ads perform within AI results, particularly if users develop stronger preferences about which sources they engage with.

Google describing its own AI Overview opt-out controls as a “huge engineering project” says a lot about how deeply this is baked into search infrastructure now. They’re building colour-coded citation tracking and granular publisher controls, which suggests they know the traffic distribution shift is significant and that publishers and advertisers both need better tools to measure what’s changing. For retailers, that means keeping a close eye on developments. Any tweaks to how AI Overviews present commercial content could shift those click migration patterns we’re seeing in the data right now.

Several developments are worth watching:

• Product recommendation engines that understand context better and can match what someone’s looking for to specific product features.
• Visual search that works reliably enough to connect image-based queries to Shopping inventory.
• AI content that integrates directly with product feeds, tightening the loop between discovery and purchase.

Retailers running Google Ads campaigns need to be factoring these developments into their PPC planning now, not when they’re already live. Google is also shrinking the gap between product discovery and purchase through that hover functionality in AI Mode. Less friction between browsing and buying will likely mean new ad formats and targeting options that go well beyond current Shopping ad capabilities.

Zero-Click Search Trends and the Shift Toward AI Discovery

The click migration from organic to paid isn’t happening in isolation. Broader search behaviour data tells a similar story. The Datos/SparkToro State of Search report, produced in collaboration with Rand Fishkin, found that zero-click searches have been rising since March 2025 and that AI tool usage across the US and Europe has nearly tripled. Google desktop searches per user in the US fell by nearly 20% year on year, though the UK and EU saw a much smaller decline of around 2-3%.

“AI answers have dramatically altered the way many users engage with Google, answering their questions before they ever need to click on an organic result or perform a second/third/fourth search.”

– Rand Fishkin, SparkToro

For ecommerce retailers, the takeaway is that users aren’t just clicking differently on the results they see. They’re searching differently in the first place. Fewer follow-up searches, more zero-click answers and a growing share of traffic flowing through AI tools all point toward a search ecosystem where paid placements become more important, not less.

All of this points in the same direction. UK retailers who treat AI Overviews as a temporary experiment rather than a permanent shift in how Google distributes commercial traffic will find themselves playing catch-up within months.

How UK Retailers Should Respond to AI Overview Changes

UK ecommerce businesses need to act on this quickly. Start by examining your organic versus paid split across different product lines and identify which categories match the patterns showing up in US data. The UK tends to lag the US by a few months on these things, so there’s still a window to prepare before the full impact lands. Once you know where the gaps are, you’ll know where to increase paid budget and which organic efforts need reinforcing.

Reviewing Google Shopping Feeds for AI Compatibility

Shopping feeds need a thorough review for AI compatibility without breaking what already works. Test product titles that make sense to both humans and AI systems, check your categorisation is accurate and fill in those missing attributes. When your products show up in AI Overviews alongside Shopping ads, they need to perform in both contexts. If you’re running Performance Max campaigns, look at how your asset groups are structured too. Google’s AI systems pull from the same product data when deciding what to show in Overviews.

Restructuring PPC Campaigns for AI-Driven Traffic Shifts

Campaign structures need revisiting when organic traffic starts declining. What you change will depend on your account, but the common priorities are:

• Separate campaigns or ad groups for keywords that have lost significant organic visibility. You need to control bids and budgets independently for these.
• Higher bids on Shopping campaigns where commercial intent is strong and AI Overviews are pushing more traffic toward paid placements.
• Testing whatever new ad formats work alongside AI-generated content, including any beta placements Google rolls out.

It’s also worth asking whether your current campaign segmentation still makes sense, or whether you need to restructure around the categories hit hardest by AI Overview integration.

Keep monitoring the SERPs closely because things change fast when AI gets involved. Your AI SEO efforts shouldn’t stop, but you’ll want more budget flowing into paid ads given that Google is clearly directing traffic toward commercial results.

February 2026 showed us something that can’t be ignored. This isn’t a temporary Google experiment that will disappear next quarter. It’s how people search now, and UK retailers who adjust their PPC strategies early will hold a significant advantage over competitors still trying to work out where their traffic went.