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Guide

Google Shopping price monitoring with evidence you can trust

Use Google Shopping and retailer pages as discovery signals, then tie every competitor price to AI-matching proof, a source URL, a scraped-at timestamp, and clear price rank, gap, and trend. No manual competitor URL lists to maintain.

Why Google Shopping is the right discovery layer for price monitoring

Google Shopping surfaces the merchants buyers compare right before they choose where to buy. Comptrace treats those results as candidate competitor offers, then validates each one with AI matching before it counts as evidence, so you discover comparable prices automatically instead of building and maintaining competitor URL lists by hand.

  • Start from one product: URL, title, brand, GTIN, MPN, category, and images.
  • Let AI matching and competitor discovery decide which Google Shopping offers are truly comparable.
  • See every source URL, so weak or partial matches are flagged before they reach a pricing decision.

Keep every competitor price tied to verifiable proof

A price in a spreadsheet is a claim; a price with context is evidence. Comptrace normalizes each competitor row into the same fields, merchant, source URL, price, currency, shipping context, and a scraped-at timestamp, then layers the comparison signals your team needs to act with confidence.

  • Price rank shows exactly where your offer sits against comparable Google Shopping merchants.
  • Average gap tells you whether you are consistently above or below the competing offers.
  • Trend separates a one-off promotion from a sustained market move you should respond to.

Public discovery, private results

Discovery runs on public Google Shopping and retailer pages, but everything that feeds your pricing decisions stays private. Your imported catalog prices, matched competitor rows, and scraped results live only in your workspace and are never reused to enrich another customer's account.

  • Read-focused setup monitors your catalog without changing your products or prices.
  • Scraped competitor results stay connected to your catalog and your matching rules.
  • Privacy matters most exactly when this price data drives a pricing change.

Grow Merchant Center coverage as the evidence proves out

Start from the catalog data you already have, import a single product, a CSV or feed, a guided setup, or Google Merchant Center, then prove the matches before you scale. Already-supported public URLs preview almost instantly; newer or harder products are stored and followed up within roughly 15 minutes. Coverage depends on category, country, and catalog quality, so any gaps appear as exceptions with status and timestamps. As confidence grows, your team can use the same evidence in its existing pricing process.

Prices stay private

Your workspace is logically isolated. No catalog field, imported price, or scraped result ever feeds into another account.

Matching is explainable

AI uses product text, identifiers, imagery, retailer pages, and Google-discovered data to decide whether offers are comparable.

Metrics are action-oriented

Price rank, average gap, trend direction, and scraped-at timestamps tell teams what changed and whether the data is fresh.

See how your prices compare

Run a free competitor price check in minutes, then create a workspace to track it continuously.

Check competitor prices