You have spent years learning how to be visible on Google, and that knowledge remains valuable. Right now, however, Google is changing where your customers make their purchase decisions, and that is exactly where some really good news lies: if you understand early on what is happening, you gain a clear head start. Artificial intelligence is reshaping search, and you can use this shift to your advantage instead of running after it.
On 20 May, at Google Marketing Live, Google announced a whole generation of new ad formats, built with the Gemini models and served in the new Google AI Mode, the conversational AI version of Search. At first, that sounds like one of those routine updates. It isn’t: this is where it is decided how present your shop is at exactly the moment of purchase. That is an opportunity, not a reason to worry.
A quick bit of context so that we are on the same page: the ten blue links that classic SEO revolved around are no longer the only place where purchase decisions are made. More and more, the decision is made in an AI answer that Google generates directly on the page. This article shows you, in a friendly and concrete way, what was announced, why it is the biggest search update since the introduction of Universal Search and what you can do, step by step, before your competitors get going.
What Google announced: AI Mode becomes a sales space
At the heart of the announcement is AI Mode in Google Search, a conversational, Gemini-powered version in which Google no longer just lists links but answers directly. Google is now bringing advertising into these answers. Two new ad formats take centre stage, and both have a special feature you should know about: every ad gets an independent AI explainer. Gemini assesses the advertised product itself and places this assessment next to the retailer’s ad. So Google is not only selling the placement, it is also moderating the verdict on your product. The whole thing remains labelled as “Sponsored”.
The first format is called Conversational Discovery Ads. Here, your ad answers a person’s specific question. If someone searches for something along the lines of “How can I make my flat smell like a spa or a rainforest without much effort?”, Gemini builds an ad tailored to exactly that search, highlighting the matching product features. The ad is no longer generic but a genuine answer. For you, this means your products can appear when they really fit.
The second format is Highlighted Answers. When AI Mode serves a list of recommendations, such as the best language-learning apps for an upcoming trip, highly relevant, high-quality ads can appear as a highlighted entry in that list. Your ad then no longer sits above or next to the answer, but right in the middle of it, as part of the recommendation itself.
Two more AI formats for classic Search
The good news is not limited to AI Mode. Two of the four new formats run there; Google is bringing the other two to regular Search over the coming months, also built on Gemini.
AI-powered Shopping Ads target the expensive purchases that need a lot of advice. Anyone looking for a new fridge or TV is often overwhelmed and wants to see why exactly this product is the right fit. If someone searches for an espresso machine, Gemini surfaces your most relevant products and immediately writes an individual explanatory text for them, setting out why your product could be the right choice for that person. So the product description is no longer written by your copywriter but by Google’s model, based on your feed data. For a Shopware retailer, this shifts the work away from the attractive product page towards the data quality behind it, and that is a lever you can pull yourself.
The Business Agent for Leads puts a brand agent directly into the ad. Instead of filling in a static form, a student researching universities, for example, clicks “Chat” and immediately gets answers based on your website. A dull form turns into a conversation, and with it into a qualified lead. For products that need explaining and for longer sales cycles, this is more relevant than it first appears.
For a B2B Shopware retailer with a product range that needs explaining, this is more tangible than it sounds. Imagine a buyer who wants to check whether your industrial pump fits their existing plant. Instead of sending a contact form and waiting three days for your field sales team, they ask the agent directly in the ad about delivery head, connection dimensions and delivery time, and get the answer from your own data. The lead is created exactly when purchase intent is at its highest. The prerequisite is that this information is stored cleanly and kept up to date on your website; otherwise, the agent may well answer incorrectly in your name.
The common pattern behind all four formats: Google is moving the advice that used to take place on your product detail page forward into Search. The comparison, the assessment, the customer’s first question: all of this can now happen before the click ever reaches you.
Direct Offers: discounts right in the AI answer
Google launched the Direct Offers pilot in January 2026, and brands such as Chewy, Gap and L’Oréal used it to serve relevant deals while shoppers weighed up their options. As of June 2026, the pilot has been expanded considerably: Google has since extended Direct Offers with AI-generated bundles, native checkout and travel deals.
With Promotion Bundling, you upload various promotions to Google Ads, from discounts and prize draws to local coupons. Gemini uses them to build a suitable offer for the specific search, such as a relevant product bundle, and serves the most compelling offer.
The Native Checkout is the most sensitive point for you as a retailer, and it deserves more than a passing remark. Google has added a native checkout integration for retailers that use the Universal Commerce Protocol (UCP). The customer then completes the purchase directly in Google’s interface without ever having visited your shop. That reduces friction and can lift conversion. But what moves to Google in the process is more than the individual sale: the email address, the order and shipping experience, the first impression after the purchase, the natural starting point for cross-selling and repeat purchases. You make the sale, but the customer relationship starts somewhere else. We take a calm look at this point further down, because it is worth making a conscious decision here.
At the same time, Google is opening Direct Offers to the travel industry: partners such as Booking and Expedia will in future feed offers directly into AI-assisted trip planning. For classic product retail, that is a side note, but it shows the direction: in future, deals will appear quite naturally in the middle of the AI Mode answer while customers go through their options.
Why this is the biggest search update in years
A few new ad formats on their own would be a side note. What matters is the shift behind them. Google cites a figure from an Ipsos survey it commissioned: 75% of the online shoppers surveyed say that AI Mode helps them make faster and more confident purchase decisions. Two points for an honest assessment: it is self-reported, not an objectively measured effect, and the respondents were specifically shoppers who already use AI features when shopping. Even so, the direction is clear. Three out of four of these users reach a decision faster because the AI does the research for them. But research used to be your playing field. That is exactly where you built visibility with guides, product comparisons and category texts, and that is exactly where you can keep scoring.
When the answer is right there on the search results page, the incentive to click drops. This phenomenon, zero-click search, is not new, but AI Mode accelerates it considerably.
One point that hurts many, but matters: ranking in first place no longer automatically means traffic. You can be the source Gemini builds its answer from and still get fewer visitors, because the user is already satisfied with the answer. Visibility and clicks are no longer the same thing, and the sooner you plan for this, the more calmly you can steer against it.
At the same time, the line between organic and paid is blurring. A Highlighted Answer looks like an editorial recommendation but is an ad. An AI-powered Shopping Ad uses your product feed, in other words data that you also maintain for organic Shopping visibility. Anyone who has so far had SEO and SEA in two separate teams or with two separate service providers will rethink this, and that is an opportunity to link the two more closely. The quickest way to grasp the shift is to put the old and the new search side by side:
| Dimension | Classic Google Search | Google AI Mode |
|---|---|---|
| Result | List of ten blue links | Generated answer plus selected sources |
| Where the purchase decision is made | On your product page, after the click | In the answer, often before the click |
| SEO goal | Rank so that someone clicks | Get cited so that the AI uses you |
| Position of the ads | Set apart above and next to the results | Placed right in the middle of the answer |
| Most important asset | Keyword-optimised content | Structured product and proprietary data |
What Google AI Mode means for your SEO
The good news first: SEO isn’t dying, it is only shifting its goal. Until now, you wanted to rank so that someone clicks. In future, you also want to be cited so that Gemini uses you in its answer. The term that has become established for this is Generative Engine Optimisation (GEO), sometimes also Answer Engine Optimisation (AEO). This is not a marketing buzzword but a concrete shift in optimisation goals, and you have most of the levers in your own hands.
In practice, this mainly means structured, machine-readable content. Clean schema markup for products, reviews, FAQs and prices becomes a must, because it feeds the model directly. Clear, answerable questions in your texts, answered briefly and correctly, have a better chance of making it into a generative answer than convoluted SEO copy that only gets to the point after 300 words. And brand signals gain weight: if your brand is mentioned often and in the right context, the likelihood rises that the AI treats you as a trustworthy source.
An example makes the difference tangible. Imagine a retailer of bean-to-cup coffee machines. At the moment, its category page “bean-to-cup coffee machines with grinder” ranks on page one: the customer clicks, reads, compares in the shop and buys. In AI Mode, the same customer asks instead: “Which bean-to-cup coffee machine under 800 euros is quiet enough for the office and easy to clean?” Gemini synthesises the answer from product data, reviews and tests, names three specific models with reasons and shows a Highlighted Answer next to them. Ranking alone does nothing for the retailer here. What helps are exact attributes (noise level in dB, cleaning effort), genuine reviews with schema markup and a feed that makes exactly these questions answerable. Whoever supplies this data shows up, and that is achievable.
What you can spare yourself: blindly continuing to optimise for pure keyword volume. A generic guide to “best espresso machine” that only exists to capture traffic will hardly have any value of its own in AI Mode, because Gemini does exactly this synthesis itself. Depth, proprietary data and genuine product expertise are the content that is harder to copy, and that plays into your hands. We have described in detail how to systematically prepare your shop for AI visibility in our article on GEO and AI visibility.
One point many overlook: in future, you can measure your success differently, and that takes the pressure off. If clicks fall but your brand is cited more often in AI answers and AI Overviews, the classic click-through rate paints too gloomy a picture. Instead, keep an eye on how often your content appears in AI answers at all, whether searches for your brand name are rising and whether qualified visitors buy more despite less overall traffic. Visibility in the AI answer is a brand and trust signal that often only shows up in direct and brand traffic with a delay. Set up the right metrics before your traffic mix tips, not afterwards.
What AI Mode means for your Google Ads
On the paid side, the direction is clear: Google is shifting control further away from manual keyword and ad copy work towards AI-assisted, automated campaigns. The new formats explicitly build on a foundation of AI Max for Search, AI Max for Shopping and Performance Max. If you have this foundation in place, you have a clear advantage when the new AI ads roll out.
This has a side that feels unfamiliar at first: you give up some control. Gemini writes the explanatory text of your AI-powered Shopping Ad, not you. The model decides which products are highlighted, based on your feed. Your levers shift accordingly: away from fine-tuning individual ads, towards the quality of what you feed into the system, and that is exactly where you can get really good.
A simple scenario shows how much this tips the balance. Two shops sell the same robot vacuum. Shop A maintains clean attributes in Shopware: suction power in pascals, battery life, mopping function, app control, room detection. Shop B has a title, a price and an image. If a customer in AI Mode asks for a robot vacuum for a flat with deep-pile carpet and pets, Gemini writes a convincing explanatory text for Shop A that picks up exactly these features. For Shop B, it stays at “robot vacuum, black”. Both ads sit side by side. Which one convinces is decided not by the bid but by the feed.
In concrete terms, it now pays to harden your conversion tracking and your data foundation before you put more budget into automated campaigns. Automation amplifies good and bad signals alike. Clean data in, good decisions out. Bad data in, and you scale your mistakes. By now at the latest, SEO and paid belong in one joint strategy instead of two separate silos.
What this means for your business
This is where it gets fundamental for Shopware retailers. Three developments affect you directly, and for all three there is a clear way forward.
First, your product feed becomes the most important asset in your marketing. It feeds organic Shopping results, AI-powered Shopping Ads and the explanatory texts that Gemini writes about your products. In Shopware, this means taking product data, custom fields and exports seriously instead of treating them as a tiresome chore alongside the actual shop. A well-structured feed is no longer a nice-to-have; it is the prerequisite for being displayed properly in the new formats at all.
Second, the native checkout via UCP raises a strategic question that you should answer deliberately instead of sitting it out. Picture the trade-off concretely: if you sell via Google’s checkout, conversion may rise, but you lose the email address for the after-sales email, the account with the order history and the natural cross-selling moment in the shop. If you deliberately sell only in your own shop, you keep the customer relationship but risk the lower-friction competitor winning the click. This is not a technical decision but a business one. There is no universally right answer, but there is an unfavourable one: having no answer at all while your competitors position themselves.
Third, brand presence beats bargain-hunter traffic. In a world where AI compares and recommends, the winner is whoever is perceived as a trustworthy brand. Pure price leadership without a profile becomes interchangeable, because the AI handles the price comparison in milliseconds. Differentiation shifts to range depth, service, content and brand strength, in other words exactly the things a model cannot simply calculate away and that you can build up deliberately.
Timeline: what is already here and what is still to come
Before you rush into action, a relaxed look at the timeline. Google explicitly describes most of these ad formats as tests or as something that will arrive “in the coming months”, initially with a strong focus on the US market. Important for context: AI Mode itself has long ceased to be a US-only story. Google has rolled it out in more than 40 countries since October 2025, including Germany, Austria and Switzerland. What is still missing for the German market are concrete availability dates for the new ad and commerce formats; Google has not named any so far.
That tempts you to wait, but it would be a waste of your head start. AI summaries and AI Mode have long been a reality in Germany (AI Overviews anyway, the conversational AI Mode since October 2025), and you need the foundations the new formats build on in every scenario: a clean product feed, structured data, the AI Max foundation. So you are not optimising for a feature that might come, but for prerequisites that already pay off today and at the same time get you ready for the day it arrives.
What you should do now
Instead of waiting until everything is live in Germany, you can lay the foundations the new formats build on right now. This order has proven itself:
- Clean up your product feed and structured data. Complete attributes, correct prices and stock levels, schema markup for products, reviews and FAQs. This is the basis for organic and paid AI visibility at the same time.
- Make your content answerable. Clear questions, short and correct answers, genuine product and application expertise instead of generic guides that only aim at volume.
- Harden the data foundation for ads. Check conversion tracking, secure feed quality and build the AI Max/Performance Max foundation before you shift budget into the new formats.
- Make a strategic decision on the checkout question. Decide deliberately whether and when a native checkout outside your shop makes sense for you, instead of leaving it to chance.
- Strengthen your brand and proprietary data. Build content and signals that a model cannot trivially reproduce, because they are based on genuine expertise and your own data.
If you are not sure where your shop stands here, a sober status check of your own data and visibility is worthwhile. That is exactly where our e-commerce consulting supports you, from the feed architecture in Shopware to aligning SEO and paid. For ongoing care of the technology and content, there is also our Shopware SEO support.
Conclusion
Google Marketing Live did not just tighten a screw; it moved the table on which the game is played. Search is becoming a conversational AI interface, advertising is moving right into the answer, and checkout is moving closer to Google. For Shopware retailers, this is neither the end of the world nor hype, but a clear, achievable invitation to put their own foundations in order: clean product data, answerable content, a deliberate position on data sovereignty and a brand that is more than the lowest price.
The retailers who start now will show up in tomorrow’s AI answers. You don’t have to rebuild everything at once, just take the first step today. The shift is already here, and the good news is: you can help shape it if you get started now.