seo-dataforseo

Retrieve live SEO metrics from DataForSEO MCP server modules.

8|5|Updated Feb 18, 2026
One-click install
npx skills add https://github.com/shenxingy/Clade --skill seo-dataforseo-shenxingy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: seo-dataforseo
Source: https://github.com/shenxingy/Clade/tree/main/configs/skills/seo-dataforseo
Command: npx skills add https://github.com/shenxingy/Clade --skill seo-dataforseo-shenxingy

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It eliminates guesswork in SEO planning by retrieving live search-engine results, keyword metrics, backlink data, and page-level analysis instead of relying on stale or approximate datasets.

Core Features & Use Cases

  • Live SERP intelligence: Pulls real organic results (including featured snippets and PAA) across major engines and supports Google Images and YouTube discovery for visibility-oriented research.
  • Keyword research with actionable metrics: Generates keyword ideas and retrieves volume, difficulty, intent classification, and trend signals for content prioritization.
  • Backlinks and competitor visibility: Analyzes backlink profiles, identifies competitors, finds ranked keywords, and supports intersection/traffic estimation across domains.
  • On-page and technical signals: Runs page audits (Lighthouse + parsing) and detects technologies and WHOIS details to inform optimization decisions.
  • AI visibility / GEO checks: Scrapes ChatGPT search outputs and tracks LLM mention patterns to measure AI-driven discoverability.

Quick Start

Use the command /seo dataforseo serp dataforseo keyword research to fetch live SERP results for that keyword.

Frequently Asked Questions about seo-dataforseo

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

FAQPage Schema
How do I get live SERP analysis data instead of using stale keyword datasets?

Live SERP analysis retrieves real-time organic search results, featured snippets, and PAA boxes directly from search engines, ensuring your keyword research relies on current ranking data rather than outdated or approximate datasets.

What is AI visibility assessment and how does it track LLM mentions?

AI visibility assessment scrapes ChatGPT search outputs to track LLM mention patterns, measuring how effectively your content is discovered by AI-driven search engines within your GEO workflows.

How do I run a technical on-page audit for SEO optimization?

Running a technical on-page audit utilizes Lighthouse parsing and page-level analysis to detect performance issues and technologies, producing structured outputs to inform your technical optimization decisions.

Can I analyze competitor backlink profiles and estimate their traffic?

Analyzing competitor backlink profiles identifies ranked keywords and supports domain intersection analysis, allowing you to estimate competitor traffic and inform your own content prioritization strategy.

Does performing keyword research with live data include search intent classification?

Keyword research with live data retrieves accurate search volume, difficulty scores, intent classification, and trend signals, providing actionable metrics for effective content strategy planning.