SpiderOS Listing AI
Listings that rank, written in seconds.
Every listing scored against its keyword map and marketplace rules, with titles, bullets and backend terms written from what buyers actually search and say.
Get a free audit of your accountBefore 54
After 91
- 12 of 12 target terms indexed
- Within Amazon title and bullet limits
- Answers the 5 top review questions for Rufus
What SpiderOS Listing AI does differently
- Listing score
Indexing, keyword coverage, readability and rule compliance per ASIN.
- Copy from real data
Written from your keyword map and the language in your reviews.
- Marketplace rules built in
Character limits and banned terms checked for Amazon and Walmart.
- Before and after
Track rank and conversion after every change.
How SpiderOS Listing AI works
Step by step, in the order it runs in your workspace.
- 1Score the listing
Each ASIN is scored on keyword coverage against its keyword map, indexing, readability, image and A+ completeness and compliance with marketplace rules.
- 2Gather the inputs
The keyword map from Keyword research, the review themes from Competitor research and your own reviews, and the product attributes become the brief.
- 3Write the draft
Titles, bullets, descriptions and backend search terms are drafted to the marketplace's character limits and banned-term rules, in your brand's voice, with the primary terms placed where they index.
- 4Review and approve
Drafts are shown next to the live copy with the changes marked. You edit, approve or reject each field; nothing is published without approval.
- 5Publish and measure
Approved copy is pushed to the listing, the change is logged, and rank and conversion are tracked before and after so you can see what the rewrite did.
Built for
Fixing a catalog at scale
Score every ASIN, sort by the lowest score and the highest sales, and work through the list with drafts already waiting.
New product listings
A first draft from the keyword map and the category's review themes, ready for the writer to finish.
Rufus and AI search readiness
Attributes and Q&A content drafted so AI assistants describe the product correctly.
Walmart listings
The same product rewritten for Walmart's attributes and content rules, from the same keyword map.
Part of a connected web
Uses Keyword research for terms; Ads AI sends traffic once the listing is ready.
- Listing score per ASIN
- Title, bullets and description writer
- Backend search terms
- Rufus and AI search readiness
- Walmart formatting
- Change history
Getting set up
Listing AI uses the keyword maps and competitor sets from the research modules; set those up first for the best drafts. Add brand voice notes and any banned claims once per brand.
Listing AI questions
Does it publish automatically?
Changes are proposed for approval and pushed to the listing once approved.
Does it write A+ Content?
It drafts A+ copy; design is done by the PPC Spider creative team.
Will the copy sound generic?
The brief comes from your keyword map, your reviews and your brand notes, and every draft is edited and approved by a person before it goes live.
Can it update images or A+?
It scores image and A+ completeness and drafts A+ copy. Design is done by the PPC Spider creative team or yours.
Does it keep a history?
Every published change is logged with the previous version, so you can roll back any field.
Free strategy call
Meet a PPC Spider strategist
- A quick look at your account and goals
- Where profit is leaking, in plain numbers
- Which plan fits, with no obligation
Strategists on calls Monday to Friday, 9am to 5pm ET
What time works best?
Pick a day
The calendar invite is on its way to your inbox.