Google Merchant Center in 2026: Why "Approved" Is Not the Same as Optimized

What about Product Studio?

Product Studio can lower the barrier to creating additional product imagery and video, but the output still needs human review.

Product Studio can generate and enhance product imagery and create videos from merchant assets. Google says the feature remains experimental and recommends using high-quality source images because input quality materially affects the output.

Source:Google Merchant Center Help: Product Studio video generation

For smaller brands without large creative teams, that can be useful.

But AI generation does not change the underlying rule:

Bad inputs rarely produce excellent product marketing.

Start with strong product photography, accurate product information, and clean catalog data.

Then use AI tools where they genuinely improve the shopping experience.

Does product approval mean Merchant Center is optimized?

No. Approval is an eligibility threshold. Optimization is about whether the product information gives Google and shoppers the clearest useful understanding of what you sell.

A Merchant Center account can have approved products while still suffering from:

• missing products
• weak or confusing titles
• incorrect imagery
• poor catalog organization
• inaccurate categorization
• thin product attributes
• unused segmentation opportunities
• product data that technically passes but poorly communicates the item

This is one of the biggest misconceptions TAC sees around Merchant Center.

Businesses often ask:

The Agency Check

"Are my products approved?"

The better question is:

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"What information is Google actually receiving about these products?"

What should you check first in Google Merchant Center?

Start with the data source. Before optimizing titles or campaigns, confirm where Google is getting the product information and whether the intended catalog is actually reaching Merchant Center.

Google defines a primary data source as the main source Merchant Center uses to access and display product information. It is also the data-source type that can add or remove products.

Source:Google Merchant Center Help: Create a product data source

This is the first place TAC checks.

For Shopify businesses in particular, do not assume that having the Google & YouTube channel connected means the full intended catalog is correctly represented.

Open Merchant Center.

Open the actual data source.

Then verify the products.

Are all the products you intend to advertise actually there?

TAC has seen brands where products simply were not reaching Merchant Center correctly, including stores where the ecommerce integration existed but the intended catalog was incomplete.

Many businesses jump immediately to bidding strategy, negative keywords, or campaign structure without confirming this basic foundation.

What does TAC consider the minimum standard for a healthy Merchant Center feed?

TAC's minimum is simple: the intended catalog is connected, product titles are useful, imagery is strong and correct, and categorization has been checked for accuracy.

These are not Google's complete requirements. They are TAC's baseline diagnostic before we start looking for deeper opportunities.

1. The intended product catalog is actually connected

If Google never receives the product, nothing downstream can compensate for it.

2. Product titles clearly describe what is being sold

A title should communicate the product quickly and accurately.

3. Product imagery is correct, relevant, and high quality

Poor images can weaken both presentation and performance.

4. Product categorization has been checked

Google automatically assigns product categories. Merchants should verify that the taxonomy reflects what they actually sell and use the google_product_category attribute when an applicable override is needed.

Source:Google Merchant Center Help: Google product category

These are the minimum foundation.

From there, stronger feeds may include richer descriptions, GTINs and other identifiers, additional images, product details, video, custom labels, promotions, and other relevant attributes.

How should product titles be optimized?

The title should clearly explain what the product is, with the most useful information appearing early.

Google recommends putting important product details toward the beginning because titles are often truncated and because titles help match products with relevant searches.

Source:Google Merchant Center Help: Product title

Consider a fictional product called:

Brand X Yellow Fever

If the shopper has never heard of Brand X or Yellow Fever, that name communicates very little about what the item actually is.

A clearer title could be:

Banana Flavored Sugar-Free Soda | Brand X

The right formula depends on the product and the brand.

For a highly recognized brand, putting the brand prominently at the beginning may make sense.

For a lesser-known brand, TAC generally prefers making the product type and useful attributes immediately obvious.

The objective is not keyword stuffing.

The objective is clarity.

Ask:

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If someone saw only this title, would they know what the product is?

If the answer is no, there is probably room for improvement.

How important are product images?

Very. The correct product can still be poorly represented if Merchant Center is using weak, low-resolution, or inappropriate imagery.

Google recommends using high-resolution images and avoiding placeholders or promotional overlays.

There is also a concrete deadline ecommerce teams should not ignore. Beginning January 31, 2027, Google says submitted product images will need to be at least 500 x 500 pixels across product categories and marketing methods. Google began issuing warnings in 2026 ahead of enforcement.

Source:Google Merchant Center Help: 2026 product data specification update

When reviewing a feed, TAC does not simply confirm that an image exists.

We ask:

• Is it the correct product?
• Is it one of the strongest available images?
• Is Google using an unwanted variation?
• Is the product easy to understand?
• Is the resolution strong enough?
• Are additional images or video warranted?

Is Google Product Category still worth checking?

Yes. Google automatically categorizes products, but merchants should still verify that the assigned taxonomy accurately represents what they sell.

The google_product_category attribute is optional because Google automatically assigns a category. Google allows merchants to override that categorization in specific applicable cases.

Source:Google Merchant Center Help: Google product category

For TAC, accurate categorization remains part of the review process.

We do not assume:

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Google assigned something, therefore it must be correct.

We verify it.

Are custom labels worth using?

Yes, when they help you make better advertising decisions.

Custom labels allow Shopping and Performance Max advertisers to subdivide products according to business-specific criteria such as seasonality, sales performance, promotion status, margin tier, or another useful internal classification.

Source:Google Ads Help: Custom labels for Shopping ads

Examples might include:

• high-margin
• low-margin
• bestseller
• clearance
• seasonal
• hero product
• new launch
• excess inventory

Custom labels are not mandatory for every catalog.

But when an advertiser needs to manage different groups of products differently, they can be extremely useful.

In TAC's experience, they are often underused.

How can you audit Merchant Center in 30 minutes?

Start with the data source, confirm catalog coverage, then inspect roughly the ten products receiving the most clicks. Review their imagery, titles, categorization, and eligibility. If those fundamentals are consistently weak, the feed is probably connected but not meaningfully optimized.

The TAC 30-Minute Merchant Center Check

1. Check the data source

Identify where Merchant Center is actually receiving product information.

2. Verify the catalog

Confirm that all intended products are present.

Do not assume.

Check.

3. Look at the products getting clicks

Merchant Center provides product-level visibility and performance information that can help you inspect the products already receiving attention.

Start with approximately the ten products getting the most meaningful interaction.

4. Inspect the images

Are they correct, clear, and commercially useful?

5. Read the titles

Would a shopper unfamiliar with the brand understand the product?

6. Check categorization

Does the assigned product category accurately represent the offer?

7. Look for disapprovals

Warnings can matter, but TAC prioritizes issues that actually prevent products from serving.

If products are disapproved, solve those first.

Then evaluate other warnings according to their likely impact on eligibility, data quality, presentation, or performance.

This is not a complete technical Merchant Center audit.

It is a fast diagnostic designed to answer a simpler question:

Was this feed actually worked on, or was it mostly connected and left alone?

Why is Merchant Center optimization part of Google Ads optimization?

Because Shopping and Performance Max depend on product data. Campaign optimization cannot fully compensate for weak product information.

Google says Merchant Center product data helps match products to the right queries and serves as a foundational input for ads, including AI-powered ad experiences.

Source:Google Merchant Center Help: Product data specification

You can optimize:

• budgets
• bidding
• campaign structures
• negative keywords
• audience signals
• creative assets

But none of those fixes:

• a missing product
• an unclear title
• the wrong image
• weak product classification
• incomplete product information

This is one area where TAC sees a meaningful difference between running Google Ads and optimizing Google Ads.

Many advertisers spend substantial time inside Google Ads while barely touching Merchant Center.

For ecommerce accounts, we believe that is a mistake.

Merchant Center optimization is Google Ads optimization.

If you are trying to determine whether the broader account is being actively managed,

Related guide:how to tell if your Google Ads are actually being optimized

"My Shopping campaigns already make sales. Why should I bother?"

Because making sales proves the system is working. It does not prove the system has reached its potential.

Imagine your Shopping campaigns produce a 2x ROAS.

Is 2x the natural ceiling of that account?

Could it be 2.5x?

Could it be 3x?

Could better product information improve the quality of the searches where your products appear?

Could better imagery earn more qualified clicks?

Could additional catalog coverage unlock demand you are currently missing?

Could smarter segmentation shift spend toward the products that make the business more money?

You cannot answer those questions simply by saying:

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"The campaigns are profitable."

This is a broader TAC principle:

A positive metric is not the same thing as proof of optimal performance.

A platform can report a healthy efficiency number while the underlying business is still missing opportunities or measuring the wrong outcome. That is why we also look at

Related guide:why good ROAS can coexist with weak revenue growth

The better question is:

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Are you extracting the performance this platform should reasonably be capable of producing?

How is AI changing Merchant Center?

Google is increasingly combining structured product data, visual assets, and conversational shopping behavior. Merchants should respond by improving the quality and completeness of the information Google receives, not by chasing speculative AI hacks.

Google says clean structured product details can improve how product information appears across Shopping and AI-driven surfaces.

Source:Google Merchant Center Help: Product detail

Merchant Center's AI performance insights can also show how brands are appearing for conversational shopping queries in AI Mode and AI Overviews in supported markets.

The implication is significant.

Traditional ecommerce feeds often focused on whether the required fields were present.

The future increasingly rewards a richer representation of the product:

• accurate structured data
• descriptive titles
• useful attributes
• quality imagery
• additional product details
• video
• clean inventory information

That does not mean adding data for the sake of having more data.

It means giving Google enough accurate information to understand what the product is and when it is relevant.

What should ecommerce brands do now?

Fix the Merchant Center foundation first. Then progressively enrich product information and creative assets as Google's commerce ecosystem evolves.

Our recommended order is:

1. Confirm the correct data source.

2. Verify that the full intended catalog is connected.

3. Fix meaningful disapprovals.

4. Review the products already getting clicks.

5. Improve unclear product titles.

6. Correct weak or inappropriate images.

7. Verify product categorization.

8. Use custom labels where they improve campaign management.

9. Identify products where video would meaningfully improve understanding.

10. Enrich relevant product attributes and details.

11. Monitor Google's AI-shopping and agentic-commerce developments.

12. Evaluate UCP readiness as availability expands.

Do not overhaul your entire operation because "AI commerce" is trending.

But do not ignore the direction of travel either.

Google is clearly investing in richer product data, richer creative assets, conversational shopping, and AI-assisted purchasing.

The brands that prepare their foundations now will have less catching up to do later.

The takeaway

Google Merchant Center should no longer be treated as a set-it-and-forget-it product feed.

An account can be approved and still be poorly optimized.

A catalog can be connected and still be incomplete.

A product can be eligible and still have a weak title.

A Shopping campaign can generate sales and still be leaving meaningful performance unrealized.

The goal is not simply:

The Agency Check

"Are our products approved?"

The better question is:

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"Are we giving Google the clearest, most complete, and most useful representation of what we sell, and are we getting the performance that foundation should make possible?"

That is the standard ecommerce brands should increasingly use.