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E-commerce SEO analysis: Google Shopping visibility, Amazon marketplace intelligence, product schema validation, competitor pricing analysis, and marketplace keyword gaps. Combines on-page product SEO with marketplace data from DataForSEO Merchant API.
Passed 17 of 22 test cases with the skill, and 9 of 22 without it.
and 10 more in the full report
9 fixed10 passed either way5 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
A newer attempt on gemini-3.6-flash on 10/2/2026 did not produce a publishable comparison (not comparable). The snapshot above is the previously measured run.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
Before invoking a DataForSEO Merchant API call for Google product searches, what cost verification command should be run, and what response status allows the execution to proceed automatically without prompting the user?
| Checked | Without skill | With skill |
|---|---|---|
| Run dataforseo_costs.py check prior to making the Merchant API call. | Missed | Passed |
| Require a status value of approved to proceed without requesting user approval. | Missed | Passed |
The instructions your model reads when the skill loads.
Comprehensive product page optimization, marketplace intelligence, and competitive pricing analysis. Works standalone (on-page + schema) and with DataForSEO Merchant API for live Google Shopping and Amazon data.
| Command | Purpose | DataForSEO? |
|---|---|---|
/seo ecommerce <url> | Full e-commerce SEO analysis of a product page or store | Optional |
/seo ecommerce products <keyword> | Google Shopping competitive analysis | Required |
/seo ecommerce gaps <domain> | Keyword gap: organic vs Shopping visibility | Required |
/seo ecommerce schema <url> | Product schema validation and enhancement | No |
Fetch and parse any product page for on-page SEO quality.
1. "${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run render_page.py <url> --mode auto → raw/rendered HTML
2. "${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run parse_html.py --url <url> → SEO elements
3. Analyze product-specific signals (below)
[Product Name] - [Key Feature] | [Brand]test cases passed, vs 9 / 22 without
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