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.
SkillScore71Maintained
Automatic
◆Marketing & Content pack
Last verified 9/1/2026
What it changes
Passed 16 of 22 test cases with the skill, and 5 of 22 without it.
Without skill21%
With skill71%
Checks it passed that the model alone missed
Specifies WebP image format with JPEG fallback.
Identifies this scenario as an Organic Only gap type.
Includes median rating metrics across both marketplaces.
and 14 more in the full report
12 fixed5 passed either way7 still failing0 broke
Pass-rate lift
+50 pp
Tokens
+108%
Agent turns
0%
Response time
-14%
Model gemini-3.6-flashMeasured 9/1/2026v117 of 24 cases passed with skill · 22 comparable
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 12
Prompt
What specific script and parameters should be run prior to querying product endpoints, and what are the three valid evaluation outcomes returned by the cost check tool?
What was checked, without and with the skill
Checked
Without skill
With skill
Invokes python3 scripts/dataforseo_costs.py check with the relevant endpoint parameter.
Missed
Passed
Identifies approved, needs_approval, and blocked as the three status outcomes.
Missed
Passed
case-05 · gemini-3.6-flash · 9/1/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md350 lines3 files
E-commerce SEO Analysis
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.
Commands
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
1. Product Page Analysis (No DataForSEO Needed)
Fetch and parse any product page for on-page SEO quality.
Workflow
1. python3 scripts/render_page.py <url> --mode auto → raw/rendered HTML
2. python3 scripts/parse_html.py --url <url> → SEO elements
3. Analyze product-specific signals (below)
Product SEO Checklist
Title Tag
Contains primary product keyword
Includes brand name
Under 60 characters (no truncation in SERPs)
Format: [Product Name] - [Key Feature] | [Brand]
Meta Description
Contains product keyword + benefit
Includes price or "from $XX" (triggers rich snippet interest)
Hreflang and international SEO audit, validation, and generation. Detects common mistakes, validates language/region codes, and generates correct hreflang implementations. Use when user says "hreflang", "i18n SEO", "international SEO", "multi-language", "multi-region", or "language tags".