Product feed optimisation: Where ecommerce stores lose free shopping traffic

Ask most ecommerce owners about their Google Shopping feed and they will think of it as a paid advertising asset: the thing that powers their Shopping ads and Performance Max campaigns. That is only half the story, and the half they are missing is free. Since 2020, the same product feed also powers Google’s free listings, which surface your products organically across the Shopping tab and other Google surfaces at no cost per click. Most stores never optimise for this, which means they are leaving free, high-intent shopping traffic on the table every single day, usually without realising the opportunity exists.

The feed is doing double duty whether you pay attention to it or not. A neglected feed underperforms in paid campaigns and forfeits free visibility at the same time. A well-built one lifts both. Here is where stores lose that free traffic, and how we approach product feed optimisation for the ecommerce clients we work with.

The feed is the strategy, not the afterthought

It helps to reframe what the feed actually is. Your product feed is the structured data you submit to Google Merchant Center: titles, descriptions, images, prices, categories and product identifiers for every item you sell. Google reads that data to understand what each product is and which searches it should appear for. In that sense feed optimisation works exactly like SEO, except instead of optimising web pages you are optimising structured product data.

That single shift in thinking is what separates the stores that win on Google Shopping from those that do not. The brands outperforming their competitors are rarely spending more. They are feeding Google better data: titles that match how people actually search, complete identifiers, strong images, accurate pricing. The feed is the foundation beneath every Shopping ad, every free listing, and increasingly every product an AI shopping assistant recommends. Treat it as an afterthought and everything built on top of it underperforms.

Where the free traffic leaks away

A handful of feed problems account for most of the lost visibility we see. Working through them in order of impact is usually where the quick wins are.

Weak product titles

The title is the single most important attribute in your feed, because Google leans on it heavily to match products to search queries. The trap most stores fall into is using the same title on the feed as the bare product name on the page, something like “Aria Chair”. Google has no idea what that is. A title structured with the attributes people actually search, brand, product type, key features, colour, size, tells Google exactly when to show it. “Julian Bowen Aria Grey Velvet Dining Chair (Set of 2)” will earn impressions that “Aria Chair” never will. The most effective title structure varies by vertical, apparel leads with brand, electronics with the model number, and getting it right for your category is one of the highest-return changes available.

Missing product identifiers

Product identifiers, chiefly GTINs, along with brand and MPN, unlock a lot of Google’s matching and features. Items missing them are harder for Google to categorise and often lose eligibility for the richer treatment that earns clicks. Each product and variant should carry its own unique, correct GTIN, with no duplicated values. Where an item genuinely has no identifier, the feed should say so explicitly rather than leaving the field blank and letting Google guess.

Poor or non-compliant images

Images are what earn the click in a visual format, and they are also a common source of disapprovals. Use high-resolution images (Google recommends 1,500 by 1,500 pixels, and stricter minimums are coming into force, so it is worth getting ahead of them), show the product clearly against a clean background, and avoid watermarks or promotional text overlaid on the image, which breach Google’s rules. Poor images cost you clicks even when everything else is right.

Vague categories

Google’s product taxonomy runs to several thousand categories, and using the most specific one that fits your product measurably improves how accurately Google matches it to queries. Leaving products in a broad top-level category, or letting Google auto-assign, is a missed opportunity. Specific beats general every time.

Pricing and availability mismatches

If the price or stock status in your feed does not match your landing page, Google flags or disapproves the item, and a disapproved product earns nothing, free or paid. The feed and the page must agree. For stores with frequently changing prices, the feed needs to refresh often enough to stay accurate, otherwise you accumulate disapprovals that erode your visibility.

Descriptions and landing pages still matter

Two things that sit around the feed are worth attention, because they influence both free listings and the wider picture.

Descriptions are used by Google for relevance scoring and appear in free listings, so they are worth writing properly rather than importing the manufacturer’s boilerplate. Cover material, dimensions, use cases and compatibility, work in the terms people search for naturally, and avoid promotional phrases like “free shipping” or “best price”, which can trigger policy violations. The landing page the feed points to matters too: it needs to load quickly, match the product in the listing exactly, and carry the same price. This is where feed work and the on-site fundamentals meet, and it is worth building alongside your broader ecommerce SEO and technical SEO work rather than treating it as a separate silo. The same clean, accurate product data that helps your feed also feeds the structured data on your pages, which we cover in our guide to schema markup.

The new stakes: AI shopping assistants read your feed too

There is a development that raises the value of a clean feed further. As shoppers increasingly turn to AI assistants to find and compare products, those systems draw on structured product data to decide what to recommend. Your feed is part of how an AI decides whether to surface your product or a competitor’s. That makes accurate, complete, well-structured product data not just a Google Shopping concern but part of how visible you are across the whole emerging landscape of AI-driven product discovery. The stores that keep their product data clean are positioning themselves for that shift, not just for today’s free listings.

How we approach it

The practical method we use with clients is to start where the money is. Rather than trying to fix an entire catalogue at once, we begin with the top products by revenue, usually the top 20 percent, and get their titles, identifiers, images and categories right first. That concentrates effort where it returns the most, and the impact shows quickly, typically within a month, which builds the case for rolling the same treatment across the rest of the catalogue.

From there it becomes a maintenance discipline rather than a one-off. Google’s specifications evolve, stock and prices change, and disapprovals creep in, so the feed needs monitoring and regular attention to stay healthy. Done consistently, it lifts paid performance and free visibility together, from the same work.

If you would like us to audit your product feed and find where you are losing free and paid shopping traffic, or build feed optimisation into a wider ecommerce SEO and Google Shopping strategy, get in touch with the team at TAL and we will show you exactly where the gaps are and what to fix first.

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