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Guide

AI product matching that finds comparable competitor prices for you

Comptrace matches each product to comparable competitor offers and discovers them through Google, so you compare prices with full context, without maintaining manual competitor URL lists.

Match on identifiers, not title guesses alone

Reliable matching never trusts title similarity by itself. Comptrace combines product identifiers, brand, images, your product URL, Google Shopping candidates, retailer pages, category context, pack size, condition, and shipping clues to find offers that are genuinely comparable, then keeps every signal visible behind the result.

  • GTIN and MPN confirm exact-product matches when the identifier is present.
  • Brand and product images separate near-identical variants, bundles, and pack sizes.
  • Titles add context, but a broad title overlap never counts as automatic proof.

See why a competitor price was selected

AI matching only earns trust when teams can audit it. Comptrace attaches the source URL and a scraped-at timestamp to every comparable offer, and flags weak identifiers, mismatched brands, missing images, or suspiciously broad Google Shopping results so questionable rows surface as exceptions instead of quietly skewing your numbers.

  • Every result keeps its source URL and scraped-at timestamp as evidence.
  • Weak or stale matches are flagged before they reach a pricing decision.
  • Edge cases stay visible as exceptions with status states, not forced into one score.

Turn matched offers into price rank, gap, and trend

Once comparable offers are trustworthy, Comptrace normalizes each row, the title, merchant, price, currency, shipping context, URL, and scraped-at timestamp, then derives price rank, average gap, and trend. These metrics point teams to the products worth investigating instead of inviting blind price changes.

  • Price rank shows whether your offer is the cheapest, mid-market, or most expensive.
  • Average gap quantifies how far your price sits from the matched competitor set.
  • Trend separates a stable, structural difference from a recent competitor move.

Your catalog and matches stay private to your workspace

Imported prices, catalog identifiers, and matched competitor rows stay scoped to your workspace and are never reused for another customer. Catalog access is read-focused, so matching watches your market without changing your products or prices.

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