Query live SEO data at scale
seo-dataforseoskillsetup L2★6,595
AgriciDaniel/claude-seo ↗What it does
Query live SEO data across 10 DataForSEO API modules (79+ MCP tools)
Best for
Live SERP and backlink analysis at scale when DataForSEO's speed and credit-efficiency outweigh free tools for high-volume keyword/competitor research.
Inputs
- · search query or domain
- · optional: location code, language, device (desktop/mobile)
- · optional: use case (SERP analysis, keyword metrics, backlink profile, tech detection, content analysis, listings, AI visibility, LLM mention tracking)
Outputs
- · SERP results (organic, images, YouTube)
- · keyword volume and difficulty scores
- · keyword intent classification
- · backlink profile summary
- · competitor domain analysis
- · ranked keywords for domain
- · tech stack detection
- · business listings data
- · ChatGPT/LLM mention tracking
- · on-page analysis (Lighthouse + parsing)
Requires
- · DataForSEO MCP extension (79+ tools across 10 modules)
Preconditions
- · DataForSEO extension installed via ./extensions/dataforseo/install.sh
- · extension provides MCP server connection
- · DataForSEO API credits available (charges per endpoint call)
Failure modes
- · extension not installed — must run install.sh
- · API credits exhausted — pre-estimate costs via dataforseo_costs.py check
- · location/language defaults (US, English) don't match use case — results misaligned
Trust signals
- · 79+ MCP tools across 10 modules (SERP, keyword metrics, backlink, on-page, tech, content, business listings, AI visibility, YouTube, bulk)
- · cost guardrail: pre-call estimation (python scripts/dataforseo_costs.py check) with approval flow
- · cost logging after each call (python scripts/dataforseo_costs.py log)
- · user commands for cost management (costs today, costs summary, cost config)
- · 22+ quick-reference commands with MCP tool mapping
- · location_code and language_code defaults documented