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AnasIsmai1
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seo-ecommerce

Analyzes product page SEO, Google Shopping and Amazon marketplace data, and Product schema for e-commerce sites.

Updated Sep 20, 2024
Search Tags:#amazon#dataforseo#product schema#google shopping#ecommerce seo#keyword gap#marketplace analysis
One-click install
npx skills add https://github.com/AnasIsmai1/dotfiles --skill seo-ecommerce-anasismai1
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: seo-ecommerce
Source: https://github.com/AnasIsmai1/dotfiles/tree/main/claude/.claude/skills/seo-ecommerce
Command: npx skills add https://github.com/AnasIsmai1/dotfiles --skill seo-ecommerce-anasismai1

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve? E-commerce teams struggle to see how their products perform across organic search, Google Shopping, and Amazon at the same time, and often ship incomplete Product schema that costs them rich results. This Skill combines on-page product SEO audits, marketplace pricing intelligence, keyword gap analysis, and schema validation into one workflow. ## Core Features & Use Cases - Product Page SEO Audit: Scores title tags, meta descriptions, images, content quality, and internal linking against a weighted checklist. - Marketplace Intelligence: Pulls live Google Shopping and Amazon data via the DataForSEO Merchant API for pricing distribution, seller landscape, and listing quality analysis, with mandatory cost guardrails before every paid call. - Keyword Gap Analysis: Cross-references organic rankings with Shopping visibility to find keywords where you should launch ads or build content. - Product Schema Validation: Validates JSON-LD against Google's required and recommended Product fields and scores completeness out of 100. - Use Case: Run an analysis on a product URL to get a scored report covering on-page SEO, schema completeness, and competitor pricing, then use the keyword gap report to decide which terms need Shopping ads versus new content. ## Quick Start Ask the assistant to run an e-commerce SEO analysis on a product page URL, for example by saying: analyze the e-commerce SEO of https://store.example.com/product/blue-widget including schema and Google Shopping competition.

Frequently Asked Questions about seo-ecommerce

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze a product page for e-commerce SEO?▼

Provide a product page URL and the Skill renders and parses the HTML, then scores title tags, meta descriptions, images, content quality, internal linking, and Product schema against a weighted checklist. The output is a scored report with prioritized recommendations.

How to find keyword gaps between organic search and Google Shopping?▼

The Skill fetches your domain's organic rankings via DataForSEO Labs and compares them with Google Shopping presence for the same keywords. Keywords are classified as organic-only, Shopping-only, both, or neither, each with a recommended action.

Does this require a DataForSEO API key?▼

No, the core product page audit and schema validation work without any API credentials. DataForSEO is only needed for live Google Shopping and Amazon marketplace data, and the Skill notes the limitation when credentials are missing.

What Product schema fields does Google require for rich results?▼

Google requires name, image, description, brand, and an offers block with url, priceCurrency, price, availability, and seller. Recommended additions like aggregateRating, sku, gtin, shippingDetails, and hasMerchantReturnPolicy raise the schema completeness score toward 100.

Why does the Skill ask for approval before some API calls?▼

Every DataForSEO Merchant endpoint costs money per call, so a mandatory cost guardrail checks the endpoint before execution. Amazon endpoints are in a warn list and always require explicit user approval, and blocked budgets stop the call with an explanation.

What are the limitations of the marketplace analysis?▼

Marketplace data depends on DataForSEO availability, location, and language settings, and empty Shopping results may just mean the keyword has no product listings. Amazon calls can time out under rate limits, in which case the Skill retries or falls back to Google-only data.

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