Overview

Helium 10’s Scribbles tool now enables Amazon sellers to deconstruct any competitor’s product page in under two minutes, extracting high‑impact keywords, bullet‑point phrasing, and hidden backend terms. The speed gain eliminates the manual copy‑paste routine and accelerates listing optimization, a crucial edge for brands operating in fast‑moving categories.

Key Points

• Instant keyword extraction — Input a rival ASIN and Scribbles returns up to the top 250 organic keywords, such as “stainless steel water bottle” and “vacuum insulated flask” for a best‑selling 32‑oz bottle.
• Bullet‑point mapping — The interface isolates each bullet line, showing exact wording like “Keeps drinks cold for 24 hours,” allowing you to mirror the structure in your own copy.
• Backend term capture — Scribbles reveals hidden search terms that are not visible to shoppers, for example the phrase “BPA‑free travel mug” that drives additional traffic.
• Real‑time search volume — Every suggested keyword is paired with its current monthly search volume, letting you prioritize “leak‑proof water bottle” (≈12 k searches) over lower‑volume alternatives.
• Compliance alerts — The system automatically flags prohibited claims such as “medical grade” or “FDA approved,” helping you avoid policy violations before submission.
• Export ready — All extracted data can be downloaded as a CSV file, ready for immediate paste into a new listing or for sharing with a copy‑writing team.

How Scribbles Works

1. Enter ASIN — Paste the competitor’s Amazon Standard Identification Number (e.g., B07XYZ1234) into the Scribbles search bar; the tool instantly loads the live product page for analysis.
2. Scan title & bullets — Scribbles parses the title and each bullet, displaying them side‑by‑side with high‑traffic words highlighted; for a “Bamboo Cutting Board” it surfaces terms like “eco‑friendly,” “knife‑safe,” and “dishwasher safe.”
3. Generate keyword list — The engine cross‑references the listing with Helium 10’s keyword database, outputting a ranked list; you’ll see “bamboo kitchen board” (≈8.5 k searches) and “large chopping board” (≈5.2 k searches).