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.