Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
AmazonSEO.ai is an AI powered Amazon listing optimization platform that helps sellers generate and improve titles, bullet points, descriptions, backend search terms, and keyword coverage.
Highlights
Highlighted by the publisher on AWS Marketplace.
Optimized for Amazon Rufus & COSMO Fine tuned for Amazon's proprietary AI systems, Rufus and COSMO Optimizes every element of your listing from title structure to backend keywords Improves placement in search results and Buy Box visibility
Co Created with Leading Sellers & Proven by Rigorous A/B Testing Developed hand in hand with top performing Amazon sellers Put through strict A/B testing to validate effectiveness Demonstrated to significantly lift listing conversion rates
Weekly Brand Analytics Insights from Amazon's Top Search Terms Weekly updates with the latest "Top Search Terms" from Amazon Brand Analytics Ensures your keyword strategy reflects current high volume shopper queries Keeps your listings competitive with fresh market data
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Plans and pricing as listed
6 listed- Units
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Refund terms
As stated by the publisher on AWS Marketplace.
We offer a 7 day no questions asked refund policy. If the product doesn't meet your expectations, send your account details to support@amazonseo.ai, and we'll process your refund promptly.
Sources
Linked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.