Marketing & Ads
Catalog Feed & Ads Health
One audit for the seam between your catalog and your ads: missing SKUs, disapproved ads, and price mismatches, ranked by money.
Feed drift silently taxes shopping campaigns — products drop out of feeds, prices go stale, ads point at dead SKUs. This makes the seam visible and fixable in one run.
Best forB2BB2b2cB2C
Agents5 required
Duration3-5 minutes
One audit for the seam between your catalog and your ads: missing SKUs, disapproved ads, and price mismatches, ranked by money. Feed drift silently taxes shopping campaigns — products drop out of feeds, prices go stale, ads point at dead SKUs. This makes the seam visible and fixable in one run.
How it runs
Multi-agent orchestration — here's the flow, step by step.
01
Pull the full sellable catalog: SKU, title, price, stock state, image presence, and category. This is the source-of-truth product set.
ecommerce scanner01
Pull the promoted-product side from every connected ad platform: which SKUs are in live feeds or campaigns, their approval statuses, advertised prices, and any disapproval reasons.
ads scanner02
Diff the two sets: SKUs missing from the feed entirely, SKUs advertised at stale prices, ads pointing at out-of-stock or discontinued products, and disapproved ads grouped by reason. Quantify lost coverage and wasted spend per gap.
data analyst03
For each fixable gap, draft the concrete fix: feed field corrections, price sync needed, which ads to retire vs which products to add. Rank by revenue coverage impact.
catalog optimizer04
Deliver the health report: coverage score, gap table with revenue at risk, ranked fix list, and the disapproval digest. Call verslay_memorize to store the coverage baseline for next-run comparison.
executive briefing writerRequired Agents
5- ecommerce-scanner
- ads-scanner
- data-analyst
- catalog-optimizer
- executive-briefing-writer
Connections
Required
AdvertisingE-Commerce
Optional
Social Media
What it does
- Feed-vs-campaign diff at SKU granularity — the full promoted-coverage picture
- Missing SKUs, stale prices, and ads-on-out-of-stock named explicitly
- Disapproval reasons grouped and counted, not buried in platform UIs
- Every gap quantified in revenue coverage or wasted spend
- Coverage baseline stored so the next run shows movement
Example prompt
Audit my product feed against my live ad campaigns — what's missing, disapproved, or priced wrong?
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