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Amazon search ranking optimization and A9 algorithm mastery. Comprehensive SEO strategy, indexing optimization, keyword ranking improvement, and search visibility enhancement.
Passed 18 of 22 test cases with the skill, and 14 of 22 without it.
and 4 more in the full report
4 fixed14 passed either way4 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 4 test cases the skill fixed. Same model, same prompt, with and without the skill.
My stainless steel garlic press (ASIN: B08X123456) is stuck on page 3 for its main target terms. Please generate a comprehensive Amazon search ranking strategy. I need an initial search performance analysis breakdown, a full keyword optimization framework covering title, bullet points, and backend byte allocation, a technical indexing audit, conversion enhancement tactics, a multi-phase implementation roadmap, and an ROI projection framework to evaluate our expected returns.
| Checked | Without skill | With skill |
|---|---|---|
| The response begins with the header '## Amazon Search Optimization Strategy'. | Missed | Passed |
| The response includes a metadata line formatted with ASIN B08X123456, Current Ranking, Target, and Timeline. | Missed | Passed |
| The response displays an A9 Ranking Factors Assessment breakdown covering relevance, performance, customer satisfaction, and authority factors. | Passed | Passed |
The instructions your model reads when the skill loads.
Strategic Amazon search ranking optimization and A9 algorithm mastery. Achieve top search positions and maximize organic visibility.
npx skills add nexscope-ai/Amazon-Skills --skill amazon-search-optimization -g
Complete search optimization strategy:
"My product ranks page 3 for 'wireless phone charger' - create comprehensive SEO strategy to reach page 1"
A9 algorithm optimization:
"Optimize my listing for Amazon's A9 algorithm - need keyword strategy, performance factors, and ranking improvement plan"
Search visibility improvement:
"My products have low search visibility - analyze ranking factors and create optimization roadmap for better discoverability"
test cases passed, vs 14 / 22 without
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