Your top competitor is ranking for 200+ keywords on Amazon. You are ranking for 40. The gap is not your product — it is your keyword coverage. And the data to close that gap exists in structured form, accessible in under a minute.

Here is how to systematically extract a competitor’s keyword strategy, identify the gaps in your own coverage, and build a prioritized list of keywords to target.

Step 1: Pull Their Full Keyword Footprint

Every ASIN on Amazon leaves a keyword footprint. The product_traffic_terms tool returns every keyword a product ranks for in the top 3 search pages — with position data, share of voice, and organic vs. ad breakdown.

# Via sorftime-seller-agent MCP:
# product_traffic_terms → keyword, position, share, type (organic/ad)

Example output: reverse-ASIN traffic terms with search volume and exposure positions. Example output: reverse-ASIN traffic terms with search volume and exposure positions.

A typical ASIN with strong organic ranking returns 80-200 keywords. Each keyword entry shows: the keyword itself, which page it ranks on (1-3), its position on that page, and whether it is organic or ad placement.

Step 2: Filter for the Keywords That Actually Matter

Not all 200 keywords are worth targeting. Filter by three criteria:

Criterion 1: Page 1 organic position. Keywords where the competitor ranks on page 1 organically — not through ads — are the highest-value targets. These keywords have validated conversion potential.

Criterion 2: Search volume above 500/month. A keyword nobody searches for is not worth optimizing for, regardless of how well the competitor ranks for it.

Criterion 3: Not already in your coverage. Cross-reference the competitor’s keyword list against your own ASIN’s traffic terms. Remove duplicates. What remains is your gap list — keywords the competitor owns that you do not.

Step 3: Prioritize the Gap List

A gap list of 80 keywords is not actionable. Narrow it to the top 10 by:

  1. Search volume (higher = more potential traffic)
  2. Position difficulty (keywords where the competitor ranks position 15-30 are easier to overtake than keywords where they hold position 1-3)
  3. Relevance to your product (a keyword with high volume but low product fit will convert poorly)

The output is a ranked list: the 10 highest-impact keywords you should target next.

Step 4: Deploy and Measure

For each priority keyword: add it to your listing (title, bullets, backend search terms if it fits naturally), create a manual exact-match ad campaign with a moderate bid, and track ranking movement weekly.

# Track your ranking progress:
# product_traffic_terms → filter for your target keywords → compare week-over-week position

This Is Not a One-Time Task

Competitor keyword strategies shift — new keywords emerge, old ones decline, competitors optimize their listings. Run this workflow monthly for your top 3 competitors. Over 6 months, you will have closed the keyword coverage gap and built a systematic understanding of how your category’s search landscape evolves.

The data exists. The tools to extract it exist. The only question is whether you are doing this systematically or occasionally.

Try it yourself: git clone https://github.com/DannylydST/sorftime-seller-agent → python3 scripts/install.py → get your key at open-intl.sorftime.com