Ecommerce Merchant Center Enrichment

In Google Shopping and AI search, your ad spend gets you into the auction, but your product data decides whether you win it. We take your entire Merchant Center catalog to complete, accurate, AI-ready attributes, researched and validated at machine scale, with your team approving rather than assembling.

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  • Adidas
  • Morton Salt
  • Sunnyland Farms
  • Backyard Discovery
Ecommerce Merchant Center Enrichment

Your Catalog Is the Bottleneck, Not Your Bid

Google Shopping, free listings, and the new AI shopping surfaces rank and recommend products on the richness and accuracy of their structured data. Thin or wrong attributes get demoted, disapproved, or quietly suppressed even when a listing reads as approved. Most catalogs arrive 40 to 70% complete: titles, prices, and images are there, but the high value attributes are empty, and the attributes built for AI shopping are almost never populated at all. That gap is the biggest emerging blind spot in retail data, and it is the one we close.Typical coverage versus enrichedATTRIBUTE COVERAGETypical feedAdded by enrichmentTitle, price, imageColor and identifiersMaterialHighlights and detailsStructured Q&ARelated productsIllustrative. Most catalogs arrive 40 to 70% complete, and the AI-shopping attributes are almost always empty.

Most catalogs are half empty

Feeds piped from your store carry the basics. The attributes that decide ranking, like material, highlights, and detailed specs, are usually blank.

The AI-shopping attributes are blank

Structured Q&A, product highlights, and related products are almost never populated, because no human has time to write them for thousands of variants. That is exactly what AI assistants read when they shop.

Errors hide behind "approved"

Template bugs, wrong categories, promotional text in titles, and malformed values pass Google's checks while quietly suppressing performance.

Thin data gets demoted

Google ranks and recommends on the completeness and accuracy of your structured data. Sparse catalogs lose ground in Shopping and go missing from AI answers.

Product Data at Machine Scale, Approved by Humans

We built a proprietary Merchant Center connector, an MCP, that plugs into AI assistants and runs your catalog end to end. It reads your account health and a per-product map of which attributes are populated and which are missing, then cross-references the truth from your live GA4 revenue, your store, and your own website before it writes a single value. It never touches Google's write API. Enrichment publishes as an additive supplemental feed that Google joins to your existing feed by product ID, so nothing in your store changes and every edit is reversible. Across five brands in five different verticals it has mapped full catalogs, cleared a live product demotion end to end, and caught issues people missed, including a copy and paste error sitting on a brand's two highest revenue listings. Three things keep it safe:

  • Additive and reversible: Enrichment overlays your feed through a supplemental feed. Remove it and your catalog reverts to its baseline. It fails safe.
  • Sourced, never invented: Every value is validated against your own website. Anything ambiguous, like a material the site does not state outright, is flagged for your confirmation rather than guessed.
  • You approve, we do the work: The engine handles the research, gap analysis, and writing. Your team reviews a before and after sheet and signs off before anything publishes.

How Enrichment Works

Onboarding takes seconds, and the catalog work runs as a disciplined loop. We diagnose coverage, prioritize by real revenue, research and validate every value, draft your products to complete, and publish only what you approve. Then it folds into ongoing maintenance, so the catalog stays complete as products change.The cycle that keeps your catalog completeDiagnosePrioritizeEnrichApprovePublishMonitorStayscomplete

  1. Onboard

    Register your brand and link its Merchant Center ID. A health read validates access in seconds.

  2. Diagnose

    Pull account issues and a full-catalog coverage map: every attribute, populated or missing, and where the disapprovals are.

  3. Prioritize

    Rank products by real GA4 revenue so the work lands on the items that matter first.

  4. Research and validate

    Read your product and About pages and extract only what is explicitly stated, quoting the source.

  5. Draft to complete

    Correct titles and descriptions, fill every applicable attribute, and write the AI-shopping layer: highlights, specs, Q&A, and related products.

  6. Approve and publish

    You sign off on a before and after sheet. Approved enrichment publishes to the supplemental feed, Google ingests it, and we re-check health.

Why LimeLight for Merchant Center Enrichment

We fill the feed, not just route it

Feed tools move and map the data you already have. We generate the missing, validated content itself, the actual attribute values, which is what gets a catalog to complete.

Built for AI shopping

We populate the new attributes Google built for AI assistants: structured Q&A, highlights, detailed specs, and product relationships. Catalogs that have them get surfaced by AI shopping. Catalogs that do not are invisible to it.

Work humans cannot do by hand

A catalog is thousands of variants times dozens of attributes, tens of thousands of researched data points. The engine does the research and writing at machine speed, and your team approves.

Nothing is fabricated

Every value traces to a source on your own site. When a brand's site never states "Made in USA," the engine refuses to claim it. No invented specs, ratings, or certifications, which keeps you clear of Google's misrepresentation policies.

Additive and reversible

Enrichment is a supplemental overlay, never a destructive write to your account. Revert to your baseline at any time.

One engine across your stack

One connector and one credential cover your whole catalog. It is the product-data layer behind our Agentic SEO and Paid Media work, so Shopping, free listings, and AI search all pull from complete data.

From Our Clients

Get a Free Catalog Health and Coverage Audit

We will read your Merchant Center, map your full-catalog coverage, and show you exactly which attributes are missing and what reaching complete would unlock. No guesswork, just your data.

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