Google 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.

Get a Free Catalog Audit

What we work on

Your Catalog Is the Bottleneck, Not Your Bid

Google Shopping and the new AI shopping surfaces rank products on the richness and accuracy of their structured data. Most catalogs arrive 40 to 70% complete: titles, prices and images are there, the high-value and AI-shopping attributes are not. We close that gap.

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, highlights and related products almost never get written for thousands of variants. They are 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.

Why LimeLight

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 Fleet does the research and writing at machine speed, and your team approves.

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.

Additive and reversible

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

How the work runs

How Enrichment Works

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.

01 /

Onboard

Register your brand and link its Merchant Center ID.

02 /

Diagnose

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

03 /

Prioritize

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

04 /

Research and validate

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

05 /

Draft to complete

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

06 /

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.

People + Fleet

Built to keep the work moving.

Fleet brings specialist AI agents into the research and implementation work. Your brand context, priorities and connected data guide the system.

Our people set direction, review the work and remain accountable for decisions. We agree on the scope and approval rules with you, so our team and the agents know where they can act.

Explore how Fleet works

The LimeLight Loop

Agile marketing, run in small loops.

KNOWLEDGE EXPANDS one more pass, one more thing proven Listen Read the evidence. Find the question worth asking. LL Operate Choose a priority. Put the right people and agents to work. OO Observe Watch what changes after the work ships. OO Prove Separate what the evidence supports from what it doesn't. PP
KNOWLEDGE EXPANDS one more pass, one more thing proven Listen Read the evidence. Find the question worth asking. LL Operate Choose a priority. Put the right people and agents to work. OO Observe Watch what changes after the work ships. OO Prove Separate what the evidence supports from what it doesn't. PP
  1. ListenRead the evidence. Find the question worth asking.
  2. OperateChoose a priority. Put the right people and agents to work.
  3. ObserveWatch what changes after the work ships.
  4. ProveSeparate what the evidence supports from what it doesn’t. Carry that learning into the next priority.

I'm beyond impressed with this solution. Any other agency that I could think of would have said this is how the platform works, tough. I'm beyond impressed.

Adam Walker · Sunnyland Farms

Your next move

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.

Get a Free Catalog Audit

Tech partnerships

Built on the platforms you run.

Strategy and implementation together, on the platforms your team manages.

  • SCAYLE
  • WordPress
  • Klaviyo
  • BigCommerce
  • Shopify Plus
  • Salsify
  • Google Partner
  • Microsoft
  • Meta
  • LinkedIn