Analyze Live SEO and SERP Data

DataForSEO: Live SEO Data (Extension) provides live search data via the DataForSEO MCP server - real-time SERP results, keyword metrics, backlink profiles, on-page analysis, content analysis, business listings, AI visibility checking, and LLM mention tracking, spanning 9 API modules and 79 MCP tools by the skill's own count.

Use this when the user needs live SEO data instead of static best-practice guidance, for SERP lookups, keyword volumes, backlink checks, competitor data, or AI visibility tracking, and only when the DataForSEO extension is actually installed and its MCP server is connected - verify a tool like serp_organic_live_advanced is available first, and if not, tell the user the extension is missing and point them to ./extensions/dataforseo/install.sh.

Since DataForSEO charges per API call, it prefers bulk endpoints over repeated single calls, defaults to US/English parameters unless told otherwise, avoids re-fetching the same data within a session, and warns before expensive operations like a full backlink crawl or a large keyword list. Command groups cover: SERP analysis (serp <keyword> for live Google organic results via serp_organic_live_advanced, also switchable to Bing/Yahoo; serp-youtube and youtube <video_id> for YouTube search and deep video analysis - YouTube mentions have the strongest stated correlation, 0.737, with AI visibility, making them important for GEO); keyword research (keywords, volume, difficulty, intent, trends covering ideas, search volume/CPC, 0-100 difficulty scores, intent classification, and Google Trends time series); domain and competitor analysis (backlinks, competitors, ranked, intersection, traffic, subdomains, top-searches covering backlink profiles, competing domains and traffic estimates, ranked keywords, cross-domain keyword/backlink overlap, and top queries mentioning a domain); technical/on-page (onpage combining instant-page checks, content parsing, and a full Lighthouse audit; tech for technology-stack detection; whois for registration data); content and business data (content for quality/sentiment/readability and phrase trends, listings for local business search); and AI visibility/GEO (ai-scrape to see what ChatGPT cites for a query, ai-mentions to track how LLMs mention a brand, domain, or topic across a four-step workflow - search mentions, get top cited domains, get top cited pages, get aggregate metrics - with cross-model comparison available separately).

Feeds live data into five other claude-seo skills: seo-audit spawns this skill for real SERP, backlink, on-page, and listings data, seo-technical uses on-page and technology-detection tools for real crawl data, seo-content uses keyword-volume/difficulty/intent and content-analysis tools, seo-page uses live SERP positions and backlink summaries, seo-geo uses the ChatGPT scraper and LLM-mention tools, and seo-plan uses competitor, intersection, and traffic-estimation tools for competitive intelligence. Output is formatted to match existing claude-seo conventions: tables for comparative data, issues prioritized Critical > High > Medium > Low, scores shown as XX/100, and results tagged "DataForSEO (live)" to distinguish them from static analysis.

SEO practitioners and agents who need real, current data rather than general best-practice guidance - live rankings, keyword volumes, backlink profiles, technical crawl results, and AI-citation visibility - with explicit error handling for a disconnected MCP server, failed authentication, rate limits, empty results, and invalid location codes so failures are reported rather than guessed around.