Google Shopping Is Becoming More Conversational

Traditional product searches are often short and specific:

women’s waterproof hiking boots

But shoppers increasingly ask longer questions that describe the problem they are trying to solve:

What hiking boots are good for wet trails but still comfortable enough for an all-day hike?

Those searches contain more context, but they may not closely resemble a retailer’s product title.

Google is adapting Shopping campaigns to understand that kind of intent.

In April 2026, Google introduced AI Max for Shopping campaigns, designed to use Merchant Center product information to connect retailers with more conversational and long-tail searches.

That changes the role of the product feed.

Google needs more than a product name and price. Attributes such as material, fit, color, product type, features, and other details can help its systems understand when an item is relevant to a more specific shopping need.

AI Max Is Expanding Standard Shopping Campaigns

Performance Max has received much of the attention around AI-powered retail advertising, but Standard Shopping campaigns are also changing.

AI Max for Shopping adds new automation while preserving many of the controls advertisers already use in Shopping campaigns.

Text Customization Can Adapt Messaging

AI Max can generate text that helps a Shopping ad respond more directly to a shopper’s search.

The product itself still comes from your Merchant Center feed, but Google can use product and website information to make the overall advertising experience more relevant to the query.

This creates another reason to keep product pages clear and accurate.

If the site describes a product vaguely, Google’s systems have less useful information available when trying to understand where it fits.

Final URL Expansion Can Match Shoppers to Better Pages

AI Max can also use Final URL Expansion to identify a page on your website that may better match the shopper’s intent.

For some retailers, that flexibility can improve relevance.

For others, it creates a reason to pay closer attention to which pages are eligible destinations.

Product pages, category pages, outdated landing pages, and informational content do not necessarily serve the same purpose.

Advertisers should review their website structure and use URL controls when there are pages that should not become paid traffic destinations.

Google Can Select Between Shopping and Text Formats

AI Max can also determine whether a traditional Shopping format or a text ad is more appropriate for the search.

That makes Standard Shopping less isolated from the broader Search experience.

Google describes these capabilities as a way to help Shopping campaigns capture more complex searches while allowing advertisers to keep product targeting and bidding controls.

Performance Max Still Plays a Major Role for Retailers

AI Max does not replace Performance Max.

The two serve different campaign strategies.

Standard Shopping with AI Max remains centered on Shopping and Search, while Performance Max can use a Merchant Center feed across Google’s broader inventory, including Search, YouTube, Display, Discover, Gmail, and Maps.

That distinction matters.

A retailer that wants more control over its Shopping campaign structure may have different reasons for using Standard Shopping than a business looking for broader cross-channel reach.

The decision should come from campaign goals, measurement, budget, and testing rather than assuming one campaign type is automatically best for every store.

Google itself supports experiments comparing Standard Shopping and Performance Max, giving advertisers a way to evaluate whether moving more budget into PMax actually improves incremental conversion value for their account.

Your Merchant Center Feed Is Becoming Even More Important

Automation does not reduce the importance of product data.

It increases it.

Google has said that AI-powered shopping experiences depend heavily on the information retailers provide through Merchant Center. If that information is incomplete or inaccurate, Google’s systems have less context available to understand and surface the products.

Keep Core Product Information Accurate

At minimum, retailers need to pay attention to information such as:

• Product title
• Description
• Price
• Availability
• Brand
• Product identifiers
• Product category and type
• Color
• Size
• Material
• Images
• Shipping information

Not every attribute applies to every product, but the principle is the same.

Do not treat Merchant Center as something that gets configured once and forgotten.

Inventory changes.

Prices change.

Products are added and discontinued.

Promotions come and go.

Google requires product information used for Shopping to remain current and meet its product data standards.

Product Titles Still Need to Make Sense to People

Adding more information does not mean stuffing every possible keyword into a product title.

The title should accurately describe the item and put the most useful information where shoppers can understand it quickly.

A vague title such as:

Classic Shoe

provides far less context than:

Women’s Waterproof Leather Hiking Boot

The second title describes what the product actually is.

That helps both the shopper and the systems trying to match the product with relevant searches.

Merchant Center Is Giving Retailers More AI Visibility Data

One particularly useful development in 2026 is that Merchant Center can now provide more visibility into how products appear within Google’s AI-powered shopping experiences.

Google’s AI performance insights report can show how a brand is being discovered through conversational shopping queries in AI Mode and AI Overviews, including visibility across different stages of the shopping journey.

This is important because Shopping visibility is becoming broader than traditional ad impressions.

Retailers increasingly need to understand:

• What kinds of questions are leading people toward their products
• Which products are appearing during research and comparison
• Whether product information supports conversational searches
• How visibility changes across different stages of the shopping journey

That information can also expose weaknesses in the feed.

If shoppers frequently search around a product characteristic that is poorly represented in your data, improving that information may help Google understand the catalog better.

Product Reporting Is Becoming More Complete

Google also expanded product reporting in June 2026.

Previously, some product performance metrics were primarily available for Standard Shopping and certain Performance Max Search activity. Google expanded product-level reporting across additional Performance Max networks and campaigns such as Video, App, and Demand Gen when Merchant Center products are involved.

That gives retailers a more complete picture of individual product performance across Google’s advertising ecosystem.

Instead of only asking:

Which campaign generated the most revenue?

you can also investigate:

Which products are generating impressions, clicks, conversions, and spend across campaigns?

That matters when deciding which products deserve more investment, which are struggling, and whether certain items are consuming budget without producing enough value.

Creative Is Becoming Part of Product Advertising

Shopping campaigns have traditionally depended heavily on product images from the feed.

That is becoming more flexible.

Google’s Product Studio can use AI to generate or enhance product images and create videos from existing product assets. For Shopify merchants using Google’s Google & YouTube app, Product Studio is also available directly through that ecosystem.

This can help smaller retailers create more variations without organizing a new photo or video shoot for every campaign.

But AI-generated creative still needs oversight.

Make sure the final asset accurately represents the product.

A visually impressive AI-generated scene is not useful if it changes the scale, shape, color, texture, or functionality of the item being sold.

Good creative should make the product easier to understand, not create expectations the actual product cannot meet.

Shopping Is Expanding Into AI-Powered Search Experiences

Google is also experimenting with how commercial results fit inside AI-powered Search.

AI Mode can already provide organic product recommendations during shopping research, and Google is testing sponsored formats that introduce retailers offering those products within the experience.

This matters because the journey between a search and a purchase may become less linear.

Someone might ask Google to compare products for a particular need, refine that request with follow-up questions, review recommendations, and encounter a relevant retailer during the same conversation.

That is very different from typing one product keyword and clicking the first Shopping ad.

For retailers, the response should not be to create a completely separate “AI Shopping strategy.”

The fundamentals remain connected:

• Accurate product data
• Competitive offers
• Useful product pages
• Reliable conversion tracking
• Strong creative
• Appropriate campaign goals

Those inputs help Google understand what you sell and when it may be relevant.

Product Pages Still Have to Close the Sale

AI can help Google find a shopper.

It cannot make a weak product page persuasive.

Once someone clicks, the site still needs to answer the questions that determine whether they buy.

That includes:

• Clear product images
• Useful descriptions
• Pricing
• Availability
• Shipping expectations
• Returns information
• Reviews or other trust signals
• Product options and variants
• A checkout process that works well on mobile

This becomes especially important as advertising reaches shoppers earlier in the research process.

A customer who already knows the exact product they want may need very little explanation.

Someone discovering the product through a conversational query may need much more context before purchasing.

For Shopify merchants, improving the Shopify store and the advertising strategy should therefore be treated as connected parts of the same customer journey.

Local Inventory Is Becoming More Integrated With Shopping

Google Shopping also continues to connect online product advertising with physical inventory.

In 2026, Google began making local inventory ads available by default within Shopping campaigns, with controls for advertisers that want to separate local and online inventory or budgets.

For retailers with physical locations, that creates opportunities to reach customers who care about whether an item is available nearby rather than whether it can be shipped.

But the information has to be reliable.

Showing a local shopper that a product is available and then having them arrive at the store to find it out of stock can damage the experience quickly.

Online and local product data need to stay synchronized.

Automation Still Needs Good Measurement

Google can optimize bidding and distribution, but it still needs a definition of success.

For an e-commerce business, that usually means tracking completed purchases and purchase value accurately.

But retailers may also need to account for:

• Profit margins
• New versus returning customers
• High-value product categories
• Returns
• Customer lifetime value
• Offline sales
• Promotion periods

A campaign can generate impressive revenue while still producing disappointing profit if most sales come from low-margin items or aggressive discounts.

That is why evaluating Shopping campaigns should extend beyond clicks and even beyond top-line ROAS.

The goal is to understand whether advertising is generating profitable growth.

Our guide to marketing ROI explains how to connect marketing performance with the business results behind the reporting.

What Retailers Should Do Now

Google Shopping is changing, but retailers do not need to adopt every new feature at once.

Start with the foundation.

Audit your Merchant Center data. Look for missing, outdated, or weak product information.

Review product pages. Make sure what Google sees in the feed matches what customers find when they click.

Understand your campaign mix. Know why you are using Standard Shopping, AI Max, Performance Max, or a combination rather than allowing campaign structure to evolve by accident.

Review product-level performance. Identify which products are actually driving value across campaigns.

Strengthen conversion tracking. Make sure Google is optimizing toward purchases and values you trust.

Test new automation deliberately. AI Max and Performance Max should be evaluated against meaningful business results.

Improve your creative assets. Give Google strong product images and video where they can help customers make decisions.

Watch how customers discover products. Conversational and AI-powered shopping experiences are expanding the types of searches that can lead to your store.

Google Shopping Is Becoming More Powerful, but the Basics Matter More

The biggest change in Google Shopping is not that AI suddenly replaces retail strategy.

It is that Google can now do more with the information retailers provide.

Product feeds can support more conversational searches. AI Max can expand how Shopping campaigns match intent. Performance Max can distribute products across more channels. Merchant Center can provide deeper insights. And AI-powered shopping experiences can introduce products earlier in the research process.

But all of those systems still depend on the fundamentals.

Google needs accurate information about your products.

Customers need useful information when they reach your website.

And your business needs reliable measurement to determine whether the advertising is actually profitable.

The technology around Google Shopping will continue to evolve.

Retailers with strong product data, good customer experiences, and clear business goals will be in a much better position to take advantage of whatever comes next.