AI visibility for Amazon

Get your Amazon listings cited by Rufus.

Amazon controls your robots.txt and your JSON-LD. eCommerce Insights tells you what to put in Seller Central content (Title, Bullets, A+, Backend Keywords) to lift Rufus visibility and stay aligned with the COSMO knowledge graph.

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Works from any ASIN URL · No Seller Central credentials required · Per-listing scores

ASIN audit · Rufus + COSMO

Rufus citation: 2 of last 14 queries
COSMO relations present: 6 of 15
Title score: 54 / 100
Bullet rewrites suggested: 5
Backend keywords missing: 11

Illustrative output. Source for COSMO: Amazon Science, SIGMOD 2024.

Amazon is a closed system. You don't own the robots.txt, you don't emit your own JSON-LD, and you can't ship a schema patch through your theme. What you do own is the listing content in Seller Central. eCommerce Insights reads your public ASIN, scores it against Rufus citations and the COSMO knowledge graph Amazon Science published at SIGMOD 2024, and gives you the exact Title, Bullets, A+, and Backend Keyword edits to paste back into Seller Central. That's the lever Amazon actually leaves you.

The Amazon problem

Six things generic AI visibility tools get wrong on Amazon.

Robots.txt

You don't control the crawl surface.

Amazon's robots.txt blocks most third-party crawlers from listing pages. Generic AI audit tools that depend on a clean fetch return empty. eCommerce Insights works from the canonical ASIN URL on amazon.com and the public mobile view, which are the surfaces Rufus and external AI engines actually read.

JSON-LD

No schema to patch.

Amazon emits its own product schema, and you can't change it. Tools whose recommendations boil down to "add Product JSON-LD" have nothing to say on Amazon. eCommerce Insights skips schema and goes straight to listing fields you can edit: Title, Bullets, Product Description, A+ modules, Backend Keywords.

COSMO

Rufus reads through 15 relations, not keywords.

Amazon Science published COSMO at SIGMOD 2024: a commonsense knowledge graph with 15 relation types (capableOf, usedFor, partOf, locatedAt, mannerOf, and others) mapping products to intent. Rufus answers query through that graph. Keyword-density tools miss the relation layer entirely.

Brand Registry

A+ content is a citation surface.

A+ Content modules are scraped, parsed, and partially indexed by Rufus. Most listing optimizers treat A+ as creative-only. eCommerce Insights scores each A+ module on answerability and tells you which module to rewrite to lift the relations Rufus is missing.

Backend Keywords

Hidden fields still matter.

The 250-character Search Terms field is invisible to shoppers but visible to Amazon's retrieval layer, which feeds Rufus. eCommerce Insights mines COSMO intent clusters in your category and tells you which phrases belong in Backend Keywords, not as keyword stuffing, but as the intent vocabulary Amazon uses to route Rufus queries.

Cross-platform

Off-Amazon AI cites your Amazon listing.

When a shopper asks ChatGPT or Perplexity for a product, the cited source is often the Amazon listing, not your DTC site. eCommerce Insights tracks those external citations too, so you see when your Amazon copy is propagating into ChatGPT Shopping and Perplexity Shopping, and what it's saying on your behalf.

How it works

From ASIN to Seller Central edit in four steps.

01
Drop in your ASINs.
Paste a storefront URL, a list of ASINs, or upload a flat-file. eCommerce Insights reads each canonical Amazon listing without needing Seller Central credentials. Brand Registry sellers can connect for variant resolution on the agency tier (Early access).
02
eCommerce Insights scores against COSMO and Rufus.
Each listing is scored on the 15 COSMO relations (which are present in your Title, Bullets, A+, and how strongly), plus a Rufus citation check against the query bank for your category. Output is a 0–100 score and a relation map showing what the graph thinks your product is, versus what you want it to be.
03
Review the Seller Central diff.
For each listing, eCommerce Insights produces a rewrite of the four editable fields. Title is reordered to put the missing 'capableOf' relation in the first 80 characters. Bullets are rewritten as 'capableOf + usedFor' sentences Rufus can lift directly. A+ blocks are flagged module-by-module. Backend Keywords are filled with the missing COSMO intent phrases.
04
Paste, ship, re-score.
Copy the rewrites into Seller Central. eCommerce Insights re-scores the same ASIN on a weekly cadence and tracks the Rufus citation count over time. You see the lift, listing by listing, on a single dashboard.

Why this beats a generic tool

Generalist AI visibility tools vs. eCommerce Insights on Amazon.

Generic tool

"Audit your site for AI search."

Fetches your Amazon listing, hits the robots.txt block, returns "no schema detected, add Product JSON-LD." On Amazon, that's not an action you can take. The tool was built for a site you own.

Crawl-blocked on most ASINs
Recommends schema you can't ship
No model of Rufus or COSMO
Treats Amazon as a generic e-commerce URL

eCommerce Insights

Built for what Amazon actually lets you change.

Reads the canonical ASIN, scores against the COSMO knowledge graph and live Rufus citations, and outputs Seller Central edits. The four fields you actually own get a diff. Nothing else.

Works on any public ASIN
Recommends Title, Bullets, A+, Backend Keywords
Scores 15 COSMO relations explicitly
Tracks Rufus citations week over week

Seller profile

A health-and-wellness brand, 220 ASINs across three parent listings, hybrid DTC and Amazon.

The DTC site lives on Shopify. The Amazon storefront is a separate workflow, run by one in-house ops lead and a 3P consultant. Rufus citations were a black box: nobody on the team could tell which ASINs were being cited or why. eCommerce Insights's COSMO relation map showed three of the top-selling ASINs were heavy on "partOf" and "madeOf" relations but light on the "usedFor" scenarios Rufus weights highest. Two weeks of Bullet rewrites later, Rufus citations were tracking on the priority ASINs. The team kept their existing Helium 10 setup for rank tracking.

Illustrative seller profile. eCommerce Insights does not publish customer case studies without permission.

ASIN diff · Bullet 2

Made with 100% organic cotton, pre-shrunk.

→ Wicks sweat during 45-minute workouts; the 100% organic cotton is pre-shrunk so the fit holds after washing.

COSMO relations added: usedFor, capableOf, hasProperty

Amazon takes your schema away. eCommerce Insights hands you the four fields they let you keep.

Audit a listing now

Drop an ASIN URL, get a Rufus + COSMO score.

Keep reading.

Platforms

All AI engines

How eCommerce Insights tracks ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude, and Copilot.

Feature

SKU-level tracking

The tracking primitive eCommerce Insights is built around. Works for ASINs the same way.

Channel

For Shopify brands

Running a hybrid DTC+Amazon catalog? The Shopify side gets the metafield workflow.

How to rank products in ChatGPT, Perplexity, and Rufus

Further reading: Amazon Science's COSMO paper (SIGMOD 2024), which describes the 15-relation commonsense graph Rufus reads against.

Ask AI about eCommerce Insights for Amazon

Have your favorite AI engine summarize this page for your specific use case.

Frequently asked questions

Do I need to connect Seller Central to use eCommerce Insights on Amazon?

No. eCommerce Insights audits any Amazon listing from its public ASIN URL. You paste a storefront or a list of ASINs, eCommerce Insights scores them against Rufus and the COSMO knowledge graph, and you copy the recommended edits into Seller Central yourself. A Seller Central API connection is on the roadmap for the agency tier; today the workflow is read-only and out-of-band.

What is COSMO and why does it matter for Amazon AI visibility?

COSMO is the commonsense knowledge graph Amazon published at SIGMOD 2024. It defines 15 relation types (capableOf, usedFor, partOf, locatedAt, mannerOf, and others) that map products to user intent. Rufus and Amazon search read product attributes through that lens. A listing that surfaces 'capableOf' (what the product does) and 'usedFor' (the scenario) inside the Title, Bullets, and A+ blocks fits the graph. A listing that only lists features sits outside it.

What does eCommerce Insights tell me to change in Seller Central?

Specific edits to four fields: Product Title (which COSMO relations are missing from the first 80 characters), Bullet Points (rewriting feature bullets as 'capableOf + usedFor' sentences Rufus can lift directly), A+ Content (modules that pair the lifestyle image with the answerable spec), and Backend Keywords (intent phrases COSMO clusters under your category that aren't yet in your hidden fields). Every edit is shown as a diff against your current copy.

Does eCommerce Insights optimize for Amazon search or for Rufus?

Both, because they share infrastructure. The Title and Bullet rewrites that lift Rufus visibility also satisfy A9 indexing, since both systems read the same listing fields. Where the two diverge (Rufus weights answerability and 'usedFor' relations more heavily than keyword density), eCommerce Insights flags the trade-off in the diff and lets you decide. The default rewrite favors Rufus without hurting A9.

Can eCommerce Insights track my listings on Amazon search, or only on Rufus?

eCommerce Insights tracks Rufus queries and the AI shopping engines outside Amazon (ChatGPT Shopping, Perplexity Shopping, Google AI Overviews) where they cite Amazon listings. Standard Amazon search rank tracking is not in scope; Helium 10 and Jungle Scout already do that well. eCommerce Insights is the layer above, focused on AI shopping intent.

How is this different from a generic Amazon listing optimizer?

Generic listing optimizers score density, character count, and keyword presence. eCommerce Insights scores against the COSMO relation graph and against actual Rufus citations. The audit answers 'does Rufus cite my listing when a shopper asks for what I sell' rather than 'is my listing keyword-dense.' The mechanism is different; the output is a different set of edits.

Audit an Amazon listing in 60 seconds.

No Seller Central credentials. Drop the ASIN URL, get a Rufus + COSMO score and a diff.