BeeBrain: Amazon listing optimization software built inside an agency

Connect each client’s seller account through Amazon’s Selling Partner API. All of them appear under Connections, and the account selector at the top of the Optimizations page sets which client you are working in. Every listing and optimization below it follows that selection, so nobody publishes to the wrong brand.

Each product gets its own analysis. BeeBrain scores every keyword for relevance, checks where the ASIN ranks today, weighs how competitive the term is and assigns it an action: Maintain (rank 1 to 10), Push (11 to 50), Grow (51 to 150) or Untapped (151 or deeper, or not ranking). It then rewrites the listing around that keyword plan. Your team sees the full Keyword Intelligence report alongside the copy.

Add the client’s product page URL, tone requirements, approved claims and any keywords they want considered. BeeBrain folds them into the analysis rather than bolting them on at the end, so the output matches the brief without a second rewrite.

Two ways to run a client’s catalog in one go. Choose from my store lists the client’s live listings from Seller Central: tick up to 25, search by title or paste ASINs, and start. File upload for larger catalogs is coming soon: BeeBrain will take a CSV or Excel file, verify every row against Amazon before any credits are used and flag duplicates and unknown ASINs. Either way it is one credit per listing, one brief for the batch with per-ASIN instructions where needed, and every result opens in the same field-by-field review. Nothing in a batch publishes without approval.

Materials, use cases, audience and other structured fields are completed from what the product actually is. Alexa for Shopping reads these fields when deciding what to recommend, and most client listings arrive with them blank.

Current content sits on the left, suggestion on the right, for every field. Edit anything, regenerate the title, bullets or description once per listing credit, and switch on only the fields the client has approved. Nothing else is touched.

Approved fields are submitted through the Selling Partner API. No flat files, no copy-paste between tabs, no overwriting fields the client wanted left alone.

See which keywords went live with each update, then follow their positions week to week. Your account managers can review ranking movement alongside the Listing History and use that record in client reporting, without rebuilding the timeline from spreadsheets.

Invite teammates by email to the same workspace. Everyone can optimize, edit, publish approved fields and use keyword tracking from one shared pool of credits. The workspace owner manages billing, Amazon connections and the team, sees teammate credit use, and can check Listing History for who did what and when. Your specialists work together without passing drafts between separate tools.

Give your PPC team the Keyword Intelligence report today, so listing work and campaign planning start from the same keyword opportunities. Coming soon, BeeBrain will run rank campaigns on that same intelligence. You approve the budget, BeeBrain handles the rest.

Replace the research spreadsheet and the copywriting round with one run per ASIN, then put your specialist’s time into review and client sign-off.

Keep listing work moving across a large client roster without adding headcount, and hand the output to your PPC team with the keyword plan already decided.

Work across separate client accounts with the active brand always visible, and run a repeatable process whether you manage three ASINs or three hundred.

ChatGPT can draft from the product information and keywords you supply. BeeBrain researches the ASIN first, scores keyword relevance, current rank and competition, and builds a plan before writing. Your specialists start with the Keyword Intelligence report and a full draft, not a blank chat and a research spreadsheet.

A general chat tool can help write text, but your team still needs to gather the live listing, check its category requirements, move the draft into Seller Central and track changes separately. BeeBrain brings keyword research, title, item highlights, bullets, description, backend keywords and product attributes together with side-by-side review, approved publishing and rank tracking.

Select up to 25 listings from a client's store, apply a shared brand brief with per-ASIN instructions where needed, and review each result as it completes. Repeat across the roster to work through hundreds of listings without rebuilding the research and drafting process for each product. Your team's time goes into accuracy, client strategy and sign-off, with fewer manual handoffs between tools.

BeeBrain was built inside AMZ Optimized for work on real client listings. Teammates share the workspace and credits, the owner manages account connections, and Listing History records who did what and when. Only the fields your team approves are sent to Amazon, so a faster drafting workflow does not remove the review an agency needs.