Free seller guide · August 2026
How to audit what
Alexa for Shopping
knows about your product
✓
Read in 20 minutes, run on any ASIN this week
✓
Real sample tables from one audit on one product
✓
No theory, no ranking promises, limits stated plainly
Numbers behind our guide
customers used Rufus in 2025
incremental annualized sales credited to it
engagement growth, Q1 2026 YoY
Amazon Q1 2026 reporting; Marketplace Pulse, July 2026 — 1,963 non-branded queries and 12,810 recommendations captured May–June 2026. A third shelf you cannot buy or rank your way onto.
Seller guide · August 2026
How to audit what Alexa for Shopping knows about your product
Amazon's AI answers shoppers from your listing data, not your rankings.
Map
Diff
Ask
Fix
Re-run

14 pages · PDF
Sample tables included
Sources cited
What's inside
The Knowledge Map Method, step by step
Five sequential steps. Step 1 is the one most AI audits skip, and it is the reason the rest of the method works.
01
Build the knowledge map
Document every verifiable fact from primary sources — not from the listing you are auditing.
02
Diff the listing
Compare every mapped field against your live listings. Wrong, absent, correct — marked field by field.
03
Interrogate the assistant
Run a structured question set across five buckets and grade every answer on a four-level scale.
04
Fix at the source
Route each failure to the field that caused it. Attributes come before copy, and the Prompts tab gets read.
05
Re-run and measure
Same questions, same clean context, after the lag. The before-and-after scorecard is the deliverable.
Also inside: what you can actually control and what you can't, the three ways product data fails, and the two figures circulating in this space that we could not trace and do not use.
Scroll up/down to see more
The guide is free, the audit takes under an hour per ASIN, and every fix improves the listing for human shoppers anyway.
Already sell on Amazon and want your top ASIN run through this method? Reply to the email and ask for a free audit.








