The Resolution Layer · Case Study in BriefEKOM
A major appliance retailer.
A deep-pass, cross-referenced read across refrigeration, cooking, and laundry listings — one of a set of anonymized EKOM analyses. What surfaced, and where it leads.
Lead finding · brand trust
A rival brand's copy, quoted verbatim, on your own product page.
A feature bullet on a KitchenAid oven's listing explicitly mentions Maytag® ranges — a different manufacturer's copy, contaminating the page. The syndicated-content pipeline delivered something to every field; it just isn't always the right something.
Also surfaced
Specs that contradict themselves
A refrigerator's name says 21.51 cu ft; its own description says 31 cu ft. A wine cooler's name reads "Built-In Freestanding" — two installation types that can't both be true.
Barcodes that don't scan
Several GE items carry two pipe-delimited values in one UPC field instead of one canonical code; two other items are missing UPC and GTIN-14 entirely.
One brand, three names
GE's premium sub-lines are cataloged as entirely separate brand values from GE itself — splitting one manufacturer's inventory into three unfiltered pools.
A slug generator that doesn't know when to stop
A handle-kit's URL reads "cafe-cafe-…" — the brand prepended twice — a pattern that repeats across several items in the same line.
How EKOM read it. The engine mapped the public storefront, then cross-referenced each listing's syndicated content against the retailer's own page and against sibling products from the same brand — which is what surfaced a rival brand's copy sitting where it doesn't belong.
From diagnosis to channel-ready. This pass read and diagnosed. The same understanding powers what follows — correcting the contaminated content and contradictory specs, unifying the fragmented brand taxonomy, and holding the line at intake as new SKUs and feed updates arrive.