Merchant Center feed fixes and three click gains, per Uproer

Product feeds are usually filed under paid media, which is why an SEO agency’s account of feed work is worth reading closely. Uproer’s article, by Adam Dardine, covers three ecommerce clients and one lever, the Google Merchant Center feed. We fetched the page itself and took only the figures it states.

Why a feed helps organic#

Free Merchant Center listings feed the Popular Products and More Products grids in search results. Uproer’s article cites “recent studies” showing Popular Products grids appear in more than 80% of ecommerce results pages, without naming or linking them, so the figure cannot be checked from the article. The practical point stands without it: titles, descriptions and attributes in the feed decide which queries a product can match, and changing them needs no site rebuild.

What changed in each feed?#

The bakeware brand rarely appeared in the Popular Products or More Products grids for long-tail queries. Uproer rewrote titles and descriptions to match how people search, put size and dimensions in titles, and used the product_detail attribute to qualify for filters such as nonstick and dishwasher safe.

The supplements brand had best sellers disapproved under Merchant Center policy. Uproer wrote longer descriptions, using the room up to the 5,000 character limit, removed vague promotional claims in favor of factual copy, and worked primary and secondary keywords into category-level titles.

The fashion brand used the Shopify Google and YouTube feed app, which limited testing. Uproer moved it to Simprosys for attribute-level control, title format A/B tests and optional attributes such as color, gender and age group. The article notes that for apparel brands, missing those attributes can exclude products from free listings altogether.

What results does the source report?#

The supplements brand saw free Merchant Center listing clicks rise 130% within three months, with stronger placement in Popular Products grids. The fashion brand saw clicks rise 116% and impressions 263% after 28 days, and the agency says the move left the brand with a repeatable test-and-learn setup. The bakeware brand earned 3,500 incremental clicks from organic listings year over year within three months, mostly from non-branded, high-intent queries.

What Google’s docs say#

The tactics line up with Google’s attribute specifications, which is worth knowing before copying them. The title attribute allows 1 to 150 characters, and Google notes that users usually notice only the first 70 or fewer, depending on screen size. It recommends including defining details such as brand, size and color, and it says not to add prices, promotional text or all-caps emphasis. That supports the bakeware and supplements changes directly.

The product_detail attribute is Google’s field for technical specifications and other details beyond the standard attributes. Each detail takes an attribute name and value, with an optional section name, written as Section:Attribute:Value in a text feed, and it can repeat up to 100 times per product with 1 to 150 characters each. Google asks merchants not to use it for price, promotion dates or data that another attribute already covers. Our note on Google’s 2026 Merchant Center product data spec tracks the current changes to these fields.

What to check first#

• Disapproved products in Merchant Center, since the supplements gains started with policy fixes.
• Whether the first 70 characters of each title carry the product type and the size or variant.
• Specs that shoppers filter on but that sit only on the product page, not in product_detail.
• Whether your feed app lets you edit attributes and test title formats, the fashion brand’s bottleneck.

How far can this be trusted?#

Two limits apply. The clients are anonymous, so nobody can check the figures against Search Console or Merchant Center data. And the article gives no baseline counts or control group, only percentages and one absolute gain, so the size of the starting point is unknown. A 130% lift on a small base is a different result from 130% on a large one.

What the case does support is narrower and still useful: on these three accounts, changes made inside the feed, not the website, were followed by large measured gains in free listing traffic. The metrics above record the stated lifts, with before set to zero because no baseline was given.