Overview

In early February 2024, Helium 10 released the second installment of its “Listing Builder” masterclass, demonstrating how artificial‑intelligence (AI) features can automate the creation of Amazon product listings. The session walked sellers through practical steps for generating titles, bullet points, and long‑form descriptions that boost search visibility and conversion rates.

Key Points

• AI‑crafted titles — The system proposes titles up to 200 characters, blending high‑search‑volume keywords with differentiators such as “eco‑friendly” or “limited edition.”
• Data‑driven bullet generation — By scanning the top‑10 listings in a category, the AI produces five bullets that embed performance metrics, for example “over 5,000 positive reviews.”
• Story‑focused long description — A language model writes paragraphs that weave brand narrative with product benefits while keeping keyword density between 1 % and 1.5 %.
• Keyword‑gap analysis — The “Keyword Gap” tool surfaces roughly 15 competitor terms that are missing from the seller’s current copy.
• Automated A/B testing — Listing Builder can launch two parallel versions of a listing and report real‑time click‑through rate (CTR) and conversion rate (CR) data.
• Cross‑market localization — The AI automatically translates and adapts key attributes for Amazon.es, Amazon.co.uk, and Amazon.de, adhering to each marketplace’s policy requirements.

How Listing Builder Works

1. Import product data — Sellers upload a spreadsheet containing ASINs, dimensions, and feature lists; for instance, a thermos vendor might submit 150 rows detailing capacity and material composition.
2. Choose optimization goal — The platform lets users prioritize “traffic generation” or “conversion uplift”; a brand launching a new item typically selects the traffic‑focused option.
3. Run keyword analysis — The AI queries Helium 10’s keyword database, extracts the 20 most searched terms, and enriches them with synonyms such as “thermal bottle” and “insulated cup.”