Google Merchant Center Audit: 15-Point Checklist for Ecommerce Stores

You're adjusting bids, testing ad copy, tweaking audience signals. Your campaign manager says performance is fine. But your Shopping revenue keeps underperforming what the traffic numbers suggest is possible.

The culprit is almost always Merchant Center. Not campaigns. Not bids. The product feed and account health sitting underneath everything.

I've audited hundreds of e-commerce Google Ads accounts. The pattern repeats: stores with clean, complete Merchant Center setups consistently outperform stores with better campaign structure but messy feeds. The feed is upstream of everything. Fix it first.

This checklist covers all 15 points across three areas: account settings, store quality, and product feed quality. Work through them in order. By the end, you'll know exactly where your account is leaking performance.

Campaign optimization gets all the attention because it's visible. You can see bids, budgets, and keywords. You can pull a report and point to a number. Merchant Center problems are quieter. Products get disapproved silently. Store quality scores decay gradually. Feed quality degrades as the product catalog grows.

Here's what makes this particularly costly: campaign optimization has a ceiling set by feed quality. You can have perfect bidding strategy and a well-structured Shopping campaign, but if 20% of your products are disapproved or your product titles don't match what buyers search for, you're optimizing against a broken foundation.

Three Layers That Determine Shopping Performance

Most store owners think of Merchant Center as a single thing. It's actually three separate layers, each with its own set of failure modes:

• Account settings: Shipping, tax, website verification, connected services. Issues here can get your entire account suspended.
• Store quality: Google's assessment of your store as a trustworthy place to buy. Affects eligibility for annotations like "Free returns" and "Trusted store" badges.
• Product feed: The data Google uses to match your products to search queries and determine Shopping rank. Titles, descriptions, images, attributes, GTINs.

How Often Should You Audit?

Quarterly is the minimum for active Shopping campaigns. Monthly if you're adding significant new inventory, running promotions, or managing a large catalog. After any major site change (replatforming, checkout updates, domain changes) run an audit immediately. Don't wait for Google to email you about a problem — by then, you've already lost impressions.

Work through all 15 items. Flag anything that needs fixing — you'll prioritize in Section 4.

I ran a Merchant Center audit on a client account using AI assistance alongside my manual review. The comparison was instructive. Not because AI is unreliable — it's genuinely useful for pattern detection at scale — but because it exposed exactly where human judgment is irreplaceable.

What AI Did Well

Across a 3,200-product catalog, the AI flagged all 47 products with GTIN warnings in under 30 seconds. It correctly identified that 31 out of 180 product titles were under 50 characters and likely too short for competitive Shopping placement. It caught a category misassignment pattern where 220 products in the "Jewelry" category were assigned to a sub-category that competes against different stores than the client actually sells against.

For bulk pattern recognition across large catalogs, AI audit is faster and more thorough than any manual spot-check.

What AI Got Wrong

The AI flagged 14 products as having "insufficient title detail" because the titles were under 70 characters. The problem: those 14 products were exact-match brand searches. Buyers type the product name exactly as it appears in the title. Adding more detail to those titles would have made them less relevant, not more.

The AI also recommended adding promotional text to product descriptions to improve CTR. That's a disapproval trigger. It didn't know the Merchant Center policy nuance that distinguishes acceptable benefit language from promotional language.

Finally, it missed that three products were disapproved not for anything in the feed, but because those specific product landing pages returned a 302 redirect instead of a 200 response. A URL crawler would catch this. A feed analyzer won't.

The Right Approach

Use AI for bulk pattern detection on large catalogs. Use human review for policy interpretation, context-specific judgments, and anything involving URL behavior, checkout flows, or store quality assessment. The combination is faster and more accurate than either alone.

After running through all 15 checklist items, you'll have a list of issues. Not all of them are equal. Here's how to prioritize.

Critical: Fix Immediately

• Account-level suspensions or warnings — if your account is at risk of suspension (misrepresentation, policy violations), this takes priority over everything else. One suspension disables your entire Shopping presence.
• Website verification lost or expired — without verified ownership, no products are eligible. Check this first.
• Price mismatches between feed and checkout — these cause disapprovals and erode store quality simultaneously.
• Shipping configuration gaps — missing regions or inaccurate rates trigger store quality issues that suppress impression share across all your products.

High Priority: Fix This Week

• Product disapprovals — every disapproved product is revenue being blocked. Sort by volume and fix the most common disapproval reasons first. One root cause often covers dozens of products.
• Store quality score below "Good" — affects eligibility for Shopping annotations that directly improve CTR. Return policy and trust signals are usually the fastest things to fix.
• Missing GTINs on branded products — these are in Google's product catalog and GTIN-less listings get disadvantaged placement.

Medium Priority: Fix This Month

• Product title optimization — meaningful improvement but requires testing. Batch in groups of 20 to 30 products, measure Shopping impression share change after 2 to 3 weeks.
• Image quality improvements — particularly for top-selling products where higher-quality images will have measurable CTR impact.
• Category corrections — important for long-term competitiveness but won't cause immediate revenue loss.

Most store owners only look at the Diagnostics tab. Merchant Center has substantially more data available, and most of it is underused.

Performance Reports

Go to Analytics > Performance. You'll find impressions, clicks, and CTR broken down by product, product group, and category. This is separate from your Google Ads data and shows organic Shopping performance as well. Filter by custom date range to identify which products are getting impressions but not clicks (title or image problem) vs products getting zero impressions (feed or eligibility problem).

Competitive Visibility

Go to Analytics > Competitive visibility. This shows your impression share relative to competitors in your category, your benchmark CTR compared to similar products, and your relative price position. If your price is significantly above benchmark for a category, Shopping will suppress your impression share even with a healthy feed. This report tells you when a pricing problem is masquerading as a bidding problem.

Price Competitiveness

Go to Growth > Price competitiveness. Google shows you where your prices sit relative to the market for your specific products. Products marked "Higher price than benchmark" are being suppressed in Shopping results. This is one of the most actionable reports in Merchant Center and one of the least-used. Products where you can reduce price even slightly often see outsized impression share gains.

Product Feed Rules and Supplemental Feeds

Go to Products > Feeds. Check all active feeds and supplemental feeds. Over time, accounts accumulate feed rules that override original feed data in ways that become hard to track. Review every rule and verify it still serves its intended purpose. Conflicting rules from old agencies or feed tools are a common source of unexplained disapprovals and data mismatches.

Let's make this concrete. Merchant Center fixes are not theoretical improvements. They have direct, measurable revenue impact.

Disapproval Rate: Revenue Blocked Directly

If you have 2,000 products and 200 are disapproved, you're running Shopping campaigns with 10% of your inventory missing from auctions. If those products represent 15% of your revenue (common for newer or specialty items that get disapproved more often), that's a direct revenue gap from a fixable technical issue. Disapproval resolution typically takes 24 to 72 hours to reflect in product eligibility.

Store Quality Score: Impression Share Impact

A store quality score below the "Good" threshold limits eligibility for Shopping annotations including "Free returns", trusted store badges, and price-drop notifications. These annotations improve CTR by 5 to 20% depending on the category. In competitive categories like jewelry, apparel, and electronics, missing these annotations puts you at a structural CTR disadvantage against competing stores with identical bids.

Price Competitiveness: The Hidden Suppression

Google's Shopping algorithm suppresses products priced significantly above market benchmarks even when bids are competitive. A store paying $1.50 CPC on a product priced 40% above the benchmark will see lower impression share than a store paying $0.80 CPC on a competitively priced product. The competitive visibility report shows exactly which products are being suppressed for pricing reasons, letting you target price adjustments where they'll have the highest Shopping impact.

Title Optimization: Long-Term Relevance Gains

Product title improvements are slower to compound but have significant long-term impact. Better-matched titles improve your Shopping Quality Score equivalent, which reduces CPC at equivalent positioning. A title improvement that increases match quality by 20% can reduce your effective cost per impression over time. Test title changes on your top 20 revenue-generating products first before applying rules across the full catalog.

These mistakes come up in nearly every account audit I run.

Only Checking the Diagnostics Tab

Diagnostics shows disapprovals and warnings. It doesn't show store quality issues, competitive position, price suppression, or feed conflicts. A clean Diagnostics tab does not mean a healthy Merchant Center. Treat Diagnostics as one of seven or eight sections that need regular review, not the single source of truth.

Treating Warnings as Non-Urgent

Merchant Center warnings are soft violations with grace periods. Many store owners see warnings and ignore them because products are still serving. The problem: Google converts warnings to disapprovals without consistent advance notice. A warning about price mismatches or missing GTINs that looks minor today can disapprove hundreds of products during your next feed crawl. Resolve warnings on the same schedule as disapprovals.

Fixing Issues in the Feed Instead of the Source

Feed rules that patch problems at the Merchant Center level feel like quick wins. They create long-term technical debt. If your product titles are bad in your CMS or Shopify, fix them there. If prices don't match because your feed export doesn't include sale prices, fix the export. Layering feed rules on top of feed rules eventually creates conflicts that are harder to debug than the original problem.

Using the Same Images as Organic Product Pages

Organic product pages often use lifestyle photography with models, backgrounds, and contexts that look great on a website. Shopping has specific image requirements: no promotional text or overlays, no watermarks, and for apparel specifically, white or transparent backgrounds are strongly preferred for the main image. Lifestyle images are allowed as additional images. Using lifestyle images as the primary Shopping image suppresses performance in apparel categories.

Forgetting to Clean Up Old Manager Links

Every agency or tool that has ever had access to your Merchant Center may have left behind a manager link, data source, or supplemental feed. These don't expire automatically. Orphaned data sources continue feeding data that conflicts with your active feed. Old agency supplemental feeds override attributes you're trying to control. Audit your linked accounts and data sources every 6 months and remove anything that shouldn't be there.

Here's how to execute the full audit in one structured sprint. Set aside 3 to 4 hours and work through this in order. Don't jump around — the sequence matters.

Campaign optimization is visible and feels productive. Merchant Center maintenance is invisible and often unglamorous. But the relationship between the two is unambiguous: campaign performance is capped by Merchant Center health.

A store with a clean Merchant Center and mediocre bidding strategy will outperform a store with excellent bidding but a neglected feed. Every disapproved product, every store quality deduction, every category misconfiguration is a drag on campaign performance that no amount of bid adjustment will fix.

What a Healthy Merchant Center Looks Like

• 95% or higher product approval rate
• Zero active account-level warnings or policy flags
• Store quality score in the "Good" or "Excellent" range
• Shipping configuration that matches checkout exactly
• GTINs populated for all brandable products
• Product titles optimized for the actual search terms buyers use
• Competitive visibility report showing price parity or better on core products

Where to Go From Here

Once your Merchant Center is in order, the next priority is campaign structure. How you split products into campaigns and asset groups, how you approach PMAX vs standard Shopping, and how you build your bidding strategy all compound on top of the feed quality you've established. See the portfolio bidding strategy guide for how to structure bids across a large product catalog, and the Google Ads experiments guide for how to test PMAX against Shopping with clean data.

Merchant Center is the foundation. Build it right first, then optimize on top of it.