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seo-dataforseo

Retrieve live SEO data via DataForSEO MCP endpoints.

Updated Apr 25, 2026
Search Tags:#keyword research#competitor analysis#content analysis#seo#ai visibility#serp analysis#backlink analysis
One-click install
npx skills add https://github.com/bykoleksii-hardo/hardo-app --skill seo-dataforseo-bykoleksii-hardo
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: seo-dataforseo
Source: https://github.com/bykoleksii-hardo/hardo-app/tree/main/.claude/skills/agriskills1/seo-dataforseo
Command: npx skills add https://github.com/bykoleksii-hardo/hardo-app --skill seo-dataforseo-bykoleksii-hardo

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides live SEO data to assist with SERP analysis, keyword research, backlink profiles, on-page analysis, competitor analysis, content analysis, business listings, AI visibility, and domain analytics.

Core Features & Use Cases

  • SERP Analysis: Fetch live Google, Bing, Yahoo, YouTube, and Google Images search results.
  • Keyword Research: Research keywords, including volume, difficulty, intent, and trends.
  • Backlink Profiles: Analyze comprehensive backlink profiles for domains.
  • On-Page Analysis: Conduct on-page analysis using Lighthouse and content parsing.
  • Competitor Analysis: Identify competitors and estimate traffic.
  • Content Analysis: Analyze content quality and track phrase trends.
  • Business Listings: Search and analyze business listings for local SEO.
  • AI Visibility: Check AI visibility across multiple LLM platforms.
  • Domain Analytics: Analyze domain metrics and WHOIS data.
  • Use Case: For an e-commerce business looking to improve its online presence, this Skill can be used to analyze competitors, identify high-volume keywords, and track domain performance.

Quick Start

Use the /seo dataforseo serp <keyword> command to fetch live Google organic search results for a keyword.

Frequently Asked Questions about seo-dataforseo

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

FAQPage Schema
How do I pull live SERP analysis data for Google and Bing search results?▼

Live SERP analysis data for Google, Bing, Yahoo, and YouTube is retrieved by connecting to the DataForSEO MCP server. The Skill uses Python scripts and MCP endpoints to fetch and process current search engine result pages for targeted keywords.

Can I check my website's AI visibility across different LLM platforms?▼

AI visibility across multiple LLM platforms can be checked using this Skill. It queries the DataForSEO MCP endpoints to analyze and report how prominently your domain or content appears in AI-generated responses.

What do I need to analyze backlink profiles and domain metrics?▼

To analyze backlink profiles and domain metrics, you need the DataForSEO MCP server and its associated tools installed. The Skill relies on these dependencies to retrieve comprehensive off-page data and WHOIS information.

How do I research keyword volume and difficulty for SEO?▼

Keyword research for SEO is performed by fetching search volume, difficulty, intent, and trend data through the DataForSEO integration. You can initiate this by using commands like /seo dataforseo serp <keyword> to start gathering metrics.

What is the best way to conduct on-page analysis and content parsing for SEO?▼

On-page analysis and content parsing for SEO is conducted using built-in Lighthouse checks and content phrase trend evaluation. This approach helps identify content quality issues and track phrase trends directly from the DataForSEO data.

Does this approach work for local SEO and business listings analysis?▼

Local SEO and business listings analysis is fully supported. The Skill searches and analyzes local business listings through the DataForSEO MCP server to help you track local search performance and domain analytics.

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