The discoverability engine

The way products get found
just changed forever.

Your agencies don’t see it. Your tools don’t measure it.
Your listings aren’t built for it.

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COSMO

The algorithm that replaced twenty years of keyword search.

Amazon’s search engine no longer matches keywords to products. COSMO builds a knowledge graph of shopper intent — mapping what people mean, not what they type. 6.3 million product relationships, learned from the catalog itself.

Amazon SIGMOD 2024
RUFUS

The AI assistant that decides if shoppers see your listing.

Active across every US session. Rufus reads your listing, interprets your content, and decides whether to recommend you — or your competitor. If it can’t parse your copy, it picks someone else’s.

Amazon, 2025
0M

daily AI decisions on Amazon.

Together, COSMO and Rufus replaced twenty years of keyword search. They now decide what shoppers see — and what they don’t.

Amazon SIGMOD 2024 · Amazon 2025 · growing 210% YoY

$68B spent on Amazon ads this year
$0 spent making listings work for the AI that decides

What every listing must answer for modern AI search

Four questions. Every listing. Every time.

01
What are you claiming?
AI surfaces every product claim in the copy — explicit and implied.
02
Where is it proven?
Each claim traced across title, bullets, A+, and images — or flagged where proof is missing.
03
Do customers validate it?
Customer Intel scored as third-party corroboration against what the listing claims.
04
What’s still unanswered?
Every gap flagged with a prioritized fix — and a revenue impact attached.

Introducing

StoreWalk.

The store walk your listing never got.

Every section — scored, diagnosed, rewritten.

01 · STOREWALK
AI analysis + rewrites, every scan
Streaming AI analysis across all seven PDP dimensions. Returns a rewritten title and five rewritten bullets alongside per-dimension findings — ready to paste into Seller Central.
02 · LISTING SCORE
The score that shows its work
A rubric of hard rules runs alongside the AI — pass/fail checks against your actual listing, across all seven dimensions. AI never touches this number.
03 · REVENUE IMPACT
Calibrated per category, per market
A calibrated revenue estimate and opportunity range, with per-category accuracy disclosed and a confidence signal on every number. Never a point estimate where a range is honest.

Your listings, scored against real marketplace data.

Eight Amazon markets calibrated per country. Fourteen adjacent markets served via proxy from the nearest calibrated neighbor. Walmart support in development. Every score traceable to its source.

 

8 calibrated markets 14 proxy markets Walmart in dev 10 currencies

The pilot

Three ASINs.
One hour.

Share three of your listings. We run a live StoreWalk and return findings, rewrites, a listing score, and a calibrated revenue impact per ASIN — inside one hour.

Request a pilot →

Run it. Change it. Prove it.

We’ll run a StoreWalk on your top ASINs and show you exactly where discoverability is hiding.

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PROOF
rick@runproof.run