Lore

3-Step SEO Framework (Keyword Research → Build → Validate)

A three-phase structure for optimizing an Amazon listing for the Amazon A9 Algorithm:

1. Keyword research — reverse-engineer proven keywords from top competitors rather than guessing (see Reverse ASIN Lookup (Helium 10 Cerebro), Cerebro Filtering Protocol (Organic / Competitor Rank / Number of Competitors)), organized via the Helium 10 Four-List Keyword System (Main, Related, Misspelled, Master).
2. Build the listing — write title/bullets/description/images around the keyword lists, optionally accelerated with Helium 10 Listing Builder.
3. Create and validate in Seller Central — publishing the listing is not the end: verify the keyword is indexed, then found (Helium 10 Index Checker), then ranking (Helium 10 Keyword Tracker), per the Main Keyword & Organic Listing Validation Protocol.

Claim: sellers who fail either skip step 1 (guess at keywords/PPC instead of reverse-engineering competitor data) or skip step 3 (stop after publishing without confirming Amazon indexed and ranks the listing). Contrast with Two-Step Conversion-Then-Indexing SOP, a troubleshooting order-of-operations for an underperforming listing rather than an initial build sequence.

Why Keyword Research Comes First

Keyword research is the first of the three steps because Amazon's A9 algorithm ranks listings primarily on keyword relevancy plus sales performance — a listing that isn't indexed for a keyword, or is indexed but never converts on it, cannot rank for it regardless of how well the "build" and "validate" steps are executed. This is why the framework starts with research rather than copywriting: the keyword list produced here (see Helium 10 Four-List Keyword System (Main, Related, Misspelled, Master)) constrains everything downstream, including title structure (A9 Title Keyword Weighting (Position & Phrase Match)) and PPC campaign structure (Six-Campaign PPC Launch Structure).

Из тем: SEO & Keyword Strategy: Winning A9, Cosmo & Rufus