Turn a messy Amazon keyword export into a listing and PPC plan.

Deduplicate, cluster, prioritize, and map the terms you already researched across title, bullets, backend fields, and ad campaigns. No invented search volume. No black box.

Keywords stay in your browser Evidence-aware placement Action-ready exports

Add your researched keywords

Paste up to 5,000 rows or include CSV columns for volume, relevance, rank, CPC, and source.

Keyword research is not the bottleneck. Turning it into decisions is.

Most keyword tools return another list. The operating work starts afterward: merge exports, remove duplicates, separate customer intent, decide which phrases deserve scarce listing space, keep backend fields within byte limits, and move the right terms into PPC.

This builder preserves the evidence you provide and turns it into a reviewable map. Every assignment includes a reason, so a listing owner and PPC manager can disagree productively instead of trusting a mystery score.

  1. Combine sourcesPaste Brand Analytics, competitor, organic-rank, and PPC terms into one working set.
  2. Normalize evidenceMerge exact duplicates while retaining the strongest supplied volume, relevance, rank, CPC, and source signals.
  3. Separate intentKeep core product, feature, use-case, problem, comparison, branded, and competitor language distinct.
  4. Map scarce spaceReserve title and bullet placements for the strongest relevant phrases, then fill backend and PPC queues.
  5. Export ownershipSend one CSV to listing and ads owners with the placement, intent, cluster, evidence, and rationale intact.

What each queue means

The output is a planning recommendation, not an automatic listing rewrite or bid instruction.

Title and bulletsHigh-priority phrases with strong product overlap. Readability, claims compliance, and conversion still outrank keyword stuffing.
Backend termsUseful tokens not already covered by the title or bullets, packed within 249 UTF-8 bytes.
PPC exactHigher-confidence terms worth isolating for clean performance measurement.
PPC discoveryBroader or lower-confidence terms that need controlled testing before promotion.
PPC researchCompetitor terms kept out of listing fields and separated for policy-aware human review.

Amazon keyword set builder FAQ

Does this tool find new Amazon keywords?

No. It organizes the keyword evidence you already collected from Brand Analytics, Search Query Performance, PPC reports, Helium 10, Data Dive, SellerSprite, or another research source. It never fabricates search volume or ranking data.

How does the priority score work?

The score combines any search volume and relevance you provide with current organic rank opportunity, product-token overlap, and shopper intent. Missing metrics are handled transparently instead of being invented.

Should competitor brand terms go in my Amazon listing?

Usually no. The builder keeps recognized competitor terms in a PPC research queue so they do not drift into your title, bullets, or backend fields. Review trademark and marketplace policy before targeting any brand term.

Why is the backend term limit 249 bytes?

Amazon documents a 250-byte search-term limit for many Seller Central keyword fields. This tool stays at 249 UTF-8 bytes, removes repeated tokens already covered by title or bullets, and gives multi-byte characters their real byte cost.

Does ALFI receive or store my keyword list?

No. Parsing, deduplication, scoring, mapping, and exports happen locally in your browser. Analytics contain only coarse count bands and never include keywords, brand names, filenames, or source data.

Need the keyword map connected to profit?

ALFI connects listing coverage, Search Query Performance, and PPC economics for established Amazon brands. The free builder organizes the work; our team helps decide what moves revenue and contribution margin.

Talk to an Amazon growth strategist