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Requires DataForSEO extension\n  installed. Use when user says \"dataforseo\", \"live SERP\", \"keyword volume\",\n  \"backlink data\", \"AI visibility check\", or \"real search data\".\nuser-invocable: true\nargument-hint: \"[command] [query]\"\nlicense: MIT\ncompatibility: \"Requires DataForSEO MCP server\"\nmetadata:\n  author: AgriciDaniel\n  version: \"2.2.4\"\n  category: seo\n---\n\n# DataForSEO: Live SEO Data (Extension)\n\nLive search data via the DataForSEO MCP server. Provides real-time SERP results\n(organic + images), keyword metrics, backlink profiles, on-page analysis, content\nanalysis, business listings, AI visibility checking, and LLM mention tracking\nacross 9 API modules with 79+ MCP tools.\n\n## Prerequisites\n\nThis skill requires the DataForSEO extension to be installed:\n```bash\n.\u002Fextensions\u002Fdataforseo\u002Finstall.sh\n```\n\n**Check availability:** Before using any DataForSEO tool, verify the MCP server\nis connected by checking if `serp_organic_live_advanced` or any DataForSEO tool\nis available. If tools are not available, inform the user the extension is not\ninstalled and provide install instructions.\n\n## API Credit Awareness\n\nDataForSEO charges per API call. Be efficient:\n- Prefer bulk endpoints over multiple single calls\n- Use default parameters (US, English) unless user specifies otherwise\n- Cache results mentally within a session; don't re-fetch the same data\n- Warn user before running expensive operations (full backlink crawls, large keyword lists)\n\n## Cost Guardrails\n\n**Before every DataForSEO MCP call**, run cost estimation:\n```\n\u002Fhome\u002Fnoirelab\u002F.config\u002Fopencode\u002Fskills\u002Fseo\u002Fbin\u002Fclaude-seo run dataforseo_costs.py check \u003Cendpoint> [--count N]\n```\n\n- If `\"status\": \"approved\"` → proceed with the API call\n- If `\"status\": \"needs_approval\"` → show the cost estimate to the user and ask for confirmation before proceeding\n- If `\"status\": \"blocked\"` → inform the user that the daily budget limit would be exceeded; do NOT proceed\n\n**After each API call completes**, log the cost:\n```\n\u002Fhome\u002Fnoirelab\u002F.config\u002Fopencode\u002Fskills\u002Fseo\u002Fbin\u002Fclaude-seo run dataforseo_costs.py log \u003Cendpoint> \u003Cactual_cost>\n```\n\n**User commands for cost management:**\n- `\u002Fseo dataforseo costs today` → show today's spending breakdown\n- `\u002Fseo dataforseo costs summary` → show 7-day spending history\n- `\u002Fseo dataforseo costs config --mode threshold --threshold 0.50` → configure approval mode\n\nLoad `references\u002Fcost-tiers.md` for the full pricing table, budget presets, and cost reduction tips.\n\n## Quick Reference\n\n| Command | What it does |\n|---------|-------------|\n| `\u002Fseo dataforseo serp \u003Ckeyword>` | Google organic SERP results |\n| `\u002Fseo dataforseo serp-images \u003Ckeyword>` | Google Images SERP results |\n| `\u002Fseo dataforseo serp-youtube \u003Ckeyword>` | YouTube search results |\n| `\u002Fseo dataforseo youtube \u003Cvideo_id>` | YouTube video deep analysis |\n| `\u002Fseo dataforseo keywords \u003Cseed>` | Keyword ideas and suggestions |\n| `\u002Fseo dataforseo volume \u003Ckeywords>` | Search volume for keywords |\n| `\u002Fseo dataforseo difficulty \u003Ckeywords>` | Keyword difficulty scores |\n| `\u002Fseo dataforseo intent \u003Ckeywords>` | Search intent classification |\n| `\u002Fseo dataforseo trends \u003Ckeyword>` | Google Trends data |\n| `\u002Fseo dataforseo backlinks \u003Cdomain>` | Full backlink profile |\n| `\u002Fseo dataforseo competitors \u003Cdomain>` | Competitor domain analysis |\n| `\u002Fseo dataforseo ranked \u003Cdomain>` | Ranked keywords for domain |\n| `\u002Fseo dataforseo intersection \u003Cdomains>` | Keyword\u002Fbacklink overlap |\n| `\u002Fseo dataforseo traffic \u003Cdomains>` | Bulk traffic estimation |\n| `\u002Fseo dataforseo subdomains \u003Cdomain>` | Subdomains with ranking data |\n| `\u002Fseo dataforseo top-searches \u003Cdomain>` | Top queries mentioning domain |\n| `\u002Fseo dataforseo onpage \u003Curl>` | On-page analysis (Lighthouse + parsing) |\n| `\u002Fseo dataforseo tech \u003Cdomain>` | Technology stack detection |\n| `\u002Fseo dataforseo whois \u003Cdomain>` | WHOIS registration data |\n| `\u002Fseo dataforseo content \u003Ckeyword\u002Furl>` | Content analysis and trends |\n| `\u002Fseo dataforseo listings \u003Ckeyword>` | Business listings search |\n| `\u002Fseo dataforseo ai-scrape \u003Cquery>` | ChatGPT web scraper for GEO |\n| `\u002Fseo dataforseo ai-mentions \u003Ckeyword>` | LLM mention tracking for GEO |\n\n---\n\n## SERP Analysis\n\n### `\u002Fseo dataforseo serp \u003Ckeyword>`\n\nFetch live Google organic search results.\n\n**MCP tools:** `serp_organic_live_advanced`\n\n**Default parameters:** location_code=2840 (US), language_code=en, device=desktop, depth=100\n\n**Also supports:** The `serp_organic_live_advanced` tool supports Google, Bing, and Yahoo via the `se` parameter. Specify \"bing\" or \"yahoo\" to switch search engines.\n\n**Output:** Rank, URL, title, description, domain, featured snippets, AI overview references, People Also Ask.\n\n### `\u002Fseo dataforseo serp-youtube \u003Ckeyword>`\n\nFetch YouTube search results. Valuable for GEO. YouTube mentions correlate most strongly with AI citations.\n\n**MCP tools:** `serp_youtube_organic_live_advanced`\n\n**Output:** Video title, channel, views, upload date, description, URL.\n\n### `\u002Fseo dataforseo youtube \u003Cvideo_id>`\n\nDeep analysis of a specific YouTube video: info, comments, and subtitles. Some third-party studies report a 0.737 correlation between YouTube mentions and AI visibility, so treat this as a methodology-dependent GEO signal.\n\n**MCP tools:** `serp_youtube_video_info_live_advanced`, `serp_youtube_video_comments_live_advanced`, `serp_youtube_video_subtitles_live_advanced`\n\n**Parameters:** video_id (the YouTube video ID, e.g., \"dQw4w9WgXcQ\")\n\n**Output:** Video metadata (title, channel, views, likes, description), top comments with engagement, subtitle\u002Ftranscript text.\n\n### `\u002Fseo dataforseo serp-images \u003Ckeyword>`\n\nFetch live Google Images search results. See which images rank for a keyword,\nwhich domains dominate image results, and identify visual content opportunities.\n\n**MCP tools:** `serp_google_images_live_advanced`\n\n**Default parameters:** location_code=2840 (US), language_code=en, device=desktop, depth=100\n\n**Parameters:** keyword (required), depth (optional, max 700, billed per 100-result increment), search_param (optional, e.g. \"site:example.com\")\n\n**Cost warning:** Using `site:` or `filetype:` operators incurs **5x API cost**. Warn user before running filtered queries.\n\n**Output:** Position, title, alt text, source page URL, direct image URL, domain, encoded URL.\n\n**Analysis to provide:**\n- Domain dominance: which sites own the most image positions (top 10 domains by count)\n- Alt text patterns: common title\u002Falt text patterns in top-ranking images\n- Format distribution: WebP vs JPEG vs PNG in top results (infer from image_url extension)\n- Opportunity identification: keywords where user has organic rankings but no image presence\n\n---\n\n## Keyword Research\n\n### `\u002Fseo dataforseo keywords \u003Cseed>`\n\nGenerate keyword ideas, suggestions, and related terms from a seed keyword.\n\n**MCP tools:** `dataforseo_labs_google_keyword_ideas`, `dataforseo_labs_google_keyword_suggestions`, `dataforseo_labs_google_related_keywords`\n\n**Default parameters:** location_code=2840 (US), language_code=en, limit=50\n\n**Output:** Keyword, search volume, CPC, competition level, keyword difficulty, trend.\n\n### `\u002Fseo dataforseo volume \u003Ckeywords>`\n\nGet search volume and metrics for a list of keywords.\n\n**MCP tools:** `kw_data_google_ads_search_volume`\n\n**Parameters:** keywords (array, comma-separated), location_code, language_code\n\n**Output:** Keyword, monthly search volume, CPC, competition, monthly trend data.\n\n### `\u002Fseo dataforseo difficulty \u003Ckeywords>`\n\nCalculate keyword difficulty scores for ranking competitiveness.\n\n**MCP tools:** `dataforseo_labs_bulk_keyword_difficulty`\n\n**Parameters:** keywords (array), location_code, language_code\n\n**Output:** Keyword, difficulty score (0-100), interpretation (Easy\u002FMedium\u002FHard\u002FVery Hard).\n\n### `\u002Fseo dataforseo intent \u003Ckeywords>`\n\nClassify keywords by user search intent.\n\n**MCP tools:** `dataforseo_labs_search_intent`\n\n**Parameters:** keywords (array), location_code, language_code\n\n**Output:** Keyword, intent type (informational, navigational, commercial, transactional), confidence score.\n\n### `\u002Fseo dataforseo trends \u003Ckeyword>`\n\nAnalyze keyword trends over time using Google Trends data.\n\n**MCP tools:** `kw_data_google_trends_explore`\n\n**Parameters:** keywords (array), location_code, date_from, date_to, language_code\n\n**Output:** Keyword, time series data, trend direction, seasonality signals.\n\n---\n\n## Domain & Competitor Analysis\n\n### `\u002Fseo dataforseo backlinks \u003Cdomain>`\n\nComprehensive backlink profile analysis.\n\n**MCP tools:** `backlinks_summary`, `backlinks_backlinks`, `backlinks_anchors`, `backlinks_referring_domains`, `backlinks_bulk_spam_score`, `backlinks_timeseries_summary`\n\n**Default parameters:** limit=100 per sub-call\n\n**Output:** Total backlinks, referring domains, domain rank, spam score, top anchors, new\u002Flost backlinks over time, dofollow ratio, top referring domains.\n\n### `\u002Fseo dataforseo competitors \u003Cdomain>`\n\nIdentify competing domains and estimate traffic.\n\n**MCP tools:** `dataforseo_labs_google_competitors_domain`, `dataforseo_labs_google_domain_rank_overview`, `dataforseo_labs_bulk_traffic_estimation`\n\n**Output:** Competitor domains, keyword overlap %, estimated traffic, domain rank, common keywords.\n\n### `\u002Fseo dataforseo ranked \u003Cdomain>`\n\nList keywords a domain ranks for with positions and page data.\n\n**MCP tools:** `dataforseo_labs_google_ranked_keywords`, `dataforseo_labs_google_relevant_pages`\n\n**Default parameters:** limit=100, location_code=2840\n\n**Output:** Keyword, position, URL, search volume, traffic share, SERP features.\n\n### `\u002Fseo dataforseo intersection \u003Cdomain1> \u003Cdomain2> [...]`\n\nFind shared keywords and backlink sources across 2-20 domains.\n\n**MCP tools:** `dataforseo_labs_google_domain_intersection`, `backlinks_domain_intersection`\n\n**Parameters:** domains (2-20 array)\n\n**Output:** Shared keywords with positions per domain, shared backlink sources, unique keywords per domain.\n\n### `\u002Fseo dataforseo traffic \u003Cdomains>`\n\nEstimate organic search traffic for one or more domains.\n\n**MCP tools:** `dataforseo_labs_bulk_traffic_estimation`\n\n**Parameters:** domains (array)\n\n**Output:** Domain, estimated organic traffic, estimated traffic cost, top keywords.\n\n### `\u002Fseo dataforseo subdomains \u003Cdomain>`\n\nEnumerate subdomains with their ranking data and traffic estimates.\n\n**MCP tools:** `dataforseo_labs_google_subdomains`\n\n**Parameters:** target (domain), location_code, language_code\n\n**Output:** Subdomain, ranked keywords count, estimated traffic, organic cost.\n\n### `\u002Fseo dataforseo top-searches \u003Cdomain>`\n\nFind the most popular search queries that mention a specific domain in results.\n\n**MCP tools:** `dataforseo_labs_google_top_searches`\n\n**Parameters:** target (domain), location_code, language_code\n\n**Output:** Query, search volume, domain position, SERP features, traffic share.\n\n---\n\n## Technical \u002F On-Page\n\n### `\u002Fseo dataforseo onpage \u003Curl>`\n\nRun on-page analysis including Lighthouse audit and content parsing.\n\n**MCP tools:** `on_page_instant_pages`, `on_page_content_parsing`, `on_page_lighthouse`\n\n**Usage:**\n- `on_page_instant_pages`:Quick page analysis (status codes, meta tags, content size, page timing, broken links, on-page checks)\n- `on_page_content_parsing`:Extract and parse page content (plain text, word count, structure)\n- `on_page_lighthouse`:Full Lighthouse audit (performance score, accessibility, best practices, SEO, Core Web Vitals)\n\n**Output:** Pages crawled, status codes, meta tags, titles, content size, load times, Lighthouse scores, broken links, resource analysis.\n\n### `\u002Fseo dataforseo tech \u003Cdomain>`\n\nDetect technologies used on a domain.\n\n**MCP tools:** `domain_analytics_technologies_domain_technologies`\n\n**Output:** Technology name, version, category (CMS, analytics, CDN, framework, etc.).\n\n### `\u002Fseo dataforseo whois \u003Cdomain>`\n\nRetrieve WHOIS registration data.\n\n**MCP tools:** `domain_analytics_whois_overview`\n\n**Output:** Registrar, creation date, expiration date, nameservers, registrant info (if public).\n\n---\n\n## Content & Business Data\n\n### `\u002Fseo dataforseo content \u003Ckeyword\u002Furl>`\n\nAnalyze content quality, search for content by topic, and track phrase trends.\n\n**MCP tools:** `content_analysis_search`, `content_analysis_summary`, `content_analysis_phrase_trends`\n\n**Parameters:** keyword (for search\u002Ftrends) or URL (for summary)\n\n**Output:** Content matches with quality scores, sentiment analysis, readability metrics, phrase trend data over time.\n\n### `\u002Fseo dataforseo listings \u003Ckeyword>`\n\nSearch business listings for local SEO competitive analysis.\n\n**MCP tools:** `business_data_business_listings_search`\n\n**Parameters:** keyword, location (optional)\n\n**Output:** Business name, description, category, address, phone, domain, rating, review count, claimed status.\n\n---\n\n## AI Visibility \u002F GEO\n\n### `\u002Fseo dataforseo ai-scrape \u003Cquery>`\n\nScrape what ChatGPT web search returns for a query. ChatGPT visibility check: see which sources ChatGPT cites for your target keywords. Check Google AI Overviews and AI Mode with GSC gen-AI reports when available.\n\n**MCP tools:** `ai_optimization_chat_gpt_scraper`\n\n**Parameters:** query, location_code (optional), language_code (optional). Use `ai_optimization_chat_gpt_scraper_locations` to look up available locations.\n\n**Output:** ChatGPT response content, cited sources\u002FURLs, referenced domains.\n\n### `\u002Fseo dataforseo ai-mentions \u003Ckeyword>`\n\nTrack how LLMs mention brands, domains, and topics. Critical for GEO. Measures actual AI visibility across multiple LLM platforms.\n\n**MCP tools:** `ai_opt_llm_ment_search`, `ai_opt_llm_ment_top_domains`, `ai_opt_llm_ment_top_pages`, `ai_opt_llm_ment_agg_metrics`\n\n**Parameters:** keyword, location_code (optional), language_code (optional). Use `ai_opt_llm_ment_loc_and_lang` for available locations\u002Flanguages and `ai_optimization_llm_models` for supported LLM models.\n\n**Workflow:**\n1. Search LLM mentions with `ai_opt_llm_ment_search` (find mentions of a brand\u002Fkeyword across LLM responses)\n2. Get top cited domains with `ai_opt_llm_ment_top_domains` (which domains are most cited for this topic)\n3. Get top cited pages with `ai_opt_llm_ment_top_pages` (which specific pages are most cited)\n4. Get aggregate metrics with `ai_opt_llm_ment_agg_metrics` (overall mention volume, trends)\n\n**Output:** LLM mention count, top cited domains with frequency, top cited pages, mention trends over time, cross-platform visibility scores.\n\n**Advanced:** Use `ai_opt_llm_ment_cross_agg_metrics` for cross-model comparison (how mentions differ across ChatGPT, Claude, Perplexity, etc.).\n\n---\n\n## Available Utility Tools\n\nAdditional DataForSEO MCP tools are available for internal use but do not have dedicated commands. Load `references\u002Ftool-catalog.md` when you need to find a specific utility tool (location lookups, bulk operations, historical data, filter options).\n\n## Cross-Skill Integration\n\nWhen DataForSEO MCP tools are available, other claude-seo skills can leverage live data:\n\n- **seo-audit**:Spawn `seo-dataforseo` agent for real SERP, backlink, on-page, and listings data\n- **seo-technical**:Use `on_page_instant_pages` \u002F `on_page_lighthouse` for real crawl data, `domain_analytics_technologies_domain_technologies` for stack detection\n- **seo-content**:Use `kw_data_google_ads_search_volume`, `dataforseo_labs_bulk_keyword_difficulty`, `dataforseo_labs_search_intent` for real keyword metrics, `content_analysis_summary` for content quality\n- **seo-page**:Use `serp_organic_live_advanced` for real SERP positions, `backlinks_summary` for link data\n- **seo-images**:Use `serp_google_images_live_advanced` for competitor image SERP data, cross-reference with on-page image audit\n- **seo-geo**:Use `ai_optimization_chat_gpt_scraper` for real ChatGPT visibility, `ai_opt_llm_ment_search` for LLM mention tracking\n- **seo-plan**:Use `dataforseo_labs_google_competitors_domain`, `dataforseo_labs_google_domain_intersection`, `dataforseo_labs_bulk_traffic_estimation` for real competitive intelligence\n\n## Error Handling\n\n- **MCP server not connected**: Report that DataForSEO extension is not installed or MCP server is unreachable. Suggest running `.\u002Fextensions\u002Fdataforseo\u002Finstall.sh`\n- **API authentication failed**: Report invalid credentials. Suggest checking DataForSEO API login\u002Fpassword in MCP config\n- **Rate limit exceeded**: Report the limit hit and suggest waiting before retrying\n- **No results returned**: Report \"no data found\" for the query rather than guessing. Suggest broadening the query or checking location\u002Flanguage codes\n- **Invalid location code**: Report the error and suggest using the locations lookup tool to find the correct code\n\n## Output Formatting\n\nMatch existing claude-seo output patterns:\n- Use tables for comparative data\n- Prioritize issues as Critical > High > Medium > Low\n- Include specific, actionable recommendations\n- Show scores as XX\u002F100 where applicable\n- Note data source as \"DataForSEO (live)\" to distinguish from static analysis\n","# DataForSEO: Live SEO Data (Extension)\n\nLive search data via the DataForSEO MCP server. Provides real-time SERP results\n(organic + images), keyword metrics, backlink profiles, on-page analysis, content\nanalysis, business listings, AI visibility checking, and LLM mention tracking\nacross 9 API modules with 79+ MCP tools.\n\n## Prerequisites\n\nThis skill requires the DataForSEO extension to be installed:\n```bash\n.\u002Fextensions\u002Fdataforseo\u002Finstall.sh\n```\n\n**Check availability:** Before using any DataForSEO tool, verify the MCP server\nis connected by checking if `serp_organic_live_advanced` or any DataForSEO tool\nis available. If tools are not available, inform the user the extension is not\ninstalled and provide install instructions.\n\n## API Credit Awareness\n\nDataForSEO charges per API call. Be efficient:\n- Prefer bulk endpoints over multiple single calls\n- Use default parameters (US, English) unless user specifies otherwise\n- Cache results mentally within a session; don't re-fetch the same data\n- Warn user before running expensive operations (full backlink crawls, large keyword lists)\n\n## Cost Guardrails\n\n**Before every DataForSEO MCP call**, run cost estimation:\n```\n\u002Fhome\u002Fnoirelab\u002F.config\u002Fopencode\u002Fskills\u002Fseo\u002Fbin\u002Fclaude-seo run dataforseo_costs.py check \u003Cendpoint> [--count N]\n```\n\n- If `\"status\": \"approved\"` → proceed with the API call\n- If `\"status\": \"needs_approval\"` → show the cost estimate to the user and ask for confirmation before proceeding\n- If `\"status\": \"blocked\"` → inform the user that the daily budget limit would be exceeded; do NOT proceed\n\n**After each API call completes**, log the cost:\n```\n\u002Fhome\u002Fnoirelab\u002F.config\u002Fopencode\u002Fskills\u002Fseo\u002Fbin\u002Fclaude-seo run dataforseo_costs.py log \u003Cendpoint> \u003Cactual_cost>\n```\n\n**User commands for cost management:**\n- `\u002Fseo dataforseo costs today` → show today's spending breakdown\n- `\u002Fseo dataforseo costs summary` → show 7-day spending history\n- `\u002Fseo dataforseo costs config --mode threshold --threshold 0.50` → configure approval mode\n\nLoad `references\u002Fcost-tiers.md` for the full pricing table, budget presets, and cost reduction tips.\n\n## Quick Reference\n\n| Command | What it does |\n|---------|-------------|\n| `\u002Fseo dataforseo serp \u003Ckeyword>` | Google organic SERP results |\n| `\u002Fseo dataforseo serp-images \u003Ckeyword>` | Google Images SERP results |\n| `\u002Fseo dataforseo serp-youtube \u003Ckeyword>` | YouTube search results |\n| `\u002Fseo dataforseo youtube \u003Cvideo_id>` | YouTube video deep analysis |\n| `\u002Fseo dataforseo keywords \u003Cseed>` | Keyword ideas and suggestions |\n| `\u002Fseo dataforseo volume \u003Ckeywords>` | Search volume for keywords |\n| `\u002Fseo dataforseo difficulty \u003Ckeywords>` | Keyword difficulty scores |\n| `\u002Fseo dataforseo intent \u003Ckeywords>` | Search intent classification |\n| `\u002Fseo dataforseo trends \u003Ckeyword>` | Google Trends data |\n| `\u002Fseo dataforseo backlinks \u003Cdomain>` | Full backlink profile |\n| `\u002Fseo dataforseo competitors \u003Cdomain>` | Competitor domain analysis |\n| `\u002Fseo dataforseo ranked \u003Cdomain>` | Ranked keywords for domain |\n| `\u002Fseo dataforseo intersection \u003Cdomains>` | Keyword\u002Fbacklink overlap |\n| `\u002Fseo dataforseo traffic \u003Cdomains>` | Bulk traffic estimation |\n| `\u002Fseo dataforseo subdomains \u003Cdomain>` | Subdomains with ranking data |\n| `\u002Fseo dataforseo top-searches \u003Cdomain>` | Top queries mentioning domain |\n| `\u002Fseo dataforseo onpage \u003Curl>` | On-page analysis (Lighthouse + parsing) |\n| `\u002Fseo dataforseo tech \u003Cdomain>` | Technology stack detection |\n| `\u002Fseo dataforseo whois \u003Cdomain>` | WHOIS registration data |\n| `\u002Fseo dataforseo content \u003Ckeyword\u002Furl>` | Content analysis and trends |\n| `\u002Fseo dataforseo listings \u003Ckeyword>` | Business listings search |\n| `\u002Fseo dataforseo ai-scrape \u003Cquery>` | ChatGPT web scraper for GEO |\n| `\u002Fseo dataforseo ai-mentions \u003Ckeyword>` | LLM mention tracking for GEO |\n\n---\n\n## SERP Analysis\n\n### `\u002Fseo dataforseo serp \u003Ckeyword>`\n\nFetch live Google organic search results.\n\n**MCP tools:** `serp_organic_live_advanced`\n\n**Default parameters:** location_code=2840 (US), language_code=en, device=desktop, depth=100\n\n**Also supports:** The `serp_organic_live_advanced` tool supports Google, Bing, and Yahoo via the `se` parameter. Specify \"bing\" or \"yahoo\" to switch search engines.\n\n**Output:** Rank, URL, title, description, domain, featured snippets, AI overview references, People Also Ask.\n\n### `\u002Fseo dataforseo serp-youtube \u003Ckeyword>`\n\nFetch YouTube search results. Valuable for GEO. YouTube mentions correlate most strongly with AI citations.\n\n**MCP tools:** `serp_youtube_organic_live_advanced`\n\n**Output:** Video title, channel, views, upload date, description, URL.\n\n### `\u002Fseo dataforseo youtube \u003Cvideo_id>`\n\nDeep analysis of a specific YouTube video: info, comments, and subtitles. Some third-party studies report a 0.737 correlation between YouTube mentions and AI visibility, so treat this as a methodology-dependent GEO signal.\n\n**MCP tools:** `serp_youtube_video_info_live_advanced`, `serp_youtube_video_comments_live_advanced`, `serp_youtube_video_subtitles_live_advanced`\n\n**Parameters:** video_id (the YouTube video ID, e.g., \"dQw4w9WgXcQ\")\n\n**Output:** Video metadata (title, channel, views, likes, description), top comments with engagement, subtitle\u002Ftranscript text.\n\n### `\u002Fseo dataforseo serp-images \u003Ckeyword>`\n\nFetch live Google Images search results. See which images rank for a keyword,\nwhich domains dominate image results, and identify visual content opportunities.\n\n**MCP tools:** `serp_google_images_live_advanced`\n\n**Default parameters:** location_code=2840 (US), language_code=en, device=desktop, depth=100\n\n**Parameters:** keyword (required), depth (optional, max 700, billed per 100-result increment), search_param (optional, e.g. \"site:example.com\")\n\n**Cost warning:** Using `site:` or `filetype:` operators incurs **5x API cost**. Warn user before running filtered queries.\n\n**Output:** Position, title, alt text, source page URL, direct image URL, domain, encoded URL.\n\n**Analysis to provide:**\n- Domain dominance: which sites own the most image positions (top 10 domains by count)\n- Alt text patterns: common title\u002Falt text patterns in top-ranking images\n- Format distribution: WebP vs JPEG vs PNG in top results (infer from image_url extension)\n- Opportunity identification: keywords where user has organic rankings but no image presence\n\n---\n\n## Keyword Research\n\n### `\u002Fseo dataforseo keywords \u003Cseed>`\n\nGenerate keyword ideas, suggestions, and related terms from a seed keyword.\n\n**MCP tools:** `dataforseo_labs_google_keyword_ideas`, `dataforseo_labs_google_keyword_suggestions`, `dataforseo_labs_google_related_keywords`\n\n**Default parameters:** location_code=2840 (US), language_code=en, limit=50\n\n**Output:** Keyword, search volume, CPC, competition level, keyword difficulty, trend.\n\n### `\u002Fseo dataforseo volume \u003Ckeywords>`\n\nGet search volume and metrics for a list of keywords.\n\n**MCP tools:** `kw_data_google_ads_search_volume`\n\n**Parameters:** keywords (array, comma-separated), location_code, language_code\n\n**Output:** Keyword, monthly search volume, CPC, competition, monthly trend data.\n\n### `\u002Fseo dataforseo difficulty \u003Ckeywords>`\n\nCalculate keyword difficulty scores for ranking competitiveness.\n\n**MCP tools:** `dataforseo_labs_bulk_keyword_difficulty`\n\n**Parameters:** keywords (array), location_code, language_code\n\n**Output:** Keyword, difficulty score (0-100), interpretation (Easy\u002FMedium\u002FHard\u002FVery Hard).\n\n### `\u002Fseo dataforseo intent \u003Ckeywords>`\n\nClassify keywords by user search intent.\n\n**MCP tools:** `dataforseo_labs_search_intent`\n\n**Parameters:** keywords (array), location_code, language_code\n\n**Output:** Keyword, intent type (informational, navigational, commercial, transactional), confidence score.\n\n### `\u002Fseo dataforseo trends \u003Ckeyword>`\n\nAnalyze keyword trends over time using Google Trends data.\n\n**MCP tools:** `kw_data_google_trends_explore`\n\n**Parameters:** keywords (array), location_code, date_from, date_to, language_code\n\n**Output:** Keyword, time series data, trend direction, seasonality signals.\n\n---\n\n## Domain & Competitor Analysis\n\n### `\u002Fseo dataforseo backlinks \u003Cdomain>`\n\nComprehensive backlink profile analysis.\n\n**MCP tools:** `backlinks_summary`, `backlinks_backlinks`, `backlinks_anchors`, `backlinks_referring_domains`, `backlinks_bulk_spam_score`, `backlinks_timeseries_summary`\n\n**Default parameters:** limit=100 per sub-call\n\n**Output:** Total backlinks, referring domains, domain rank, spam score, top anchors, new\u002Flost backlinks over time, dofollow ratio, top referring domains.\n\n### `\u002Fseo dataforseo competitors \u003Cdomain>`\n\nIdentify competing domains and estimate traffic.\n\n**MCP tools:** `dataforseo_labs_google_competitors_domain`, `dataforseo_labs_google_domain_rank_overview`, `dataforseo_labs_bulk_traffic_estimation`\n\n**Output:** Competitor domains, keyword overlap %, estimated traffic, domain rank, common keywords.\n\n### `\u002Fseo dataforseo ranked \u003Cdomain>`\n\nList keywords a domain ranks for with positions and page data.\n\n**MCP tools:** `dataforseo_labs_google_ranked_keywords`, `dataforseo_labs_google_relevant_pages`\n\n**Default parameters:** limit=100, location_code=2840\n\n**Output:** Keyword, position, URL, search volume, traffic share, SERP features.\n\n### `\u002Fseo dataforseo intersection \u003Cdomain1> \u003Cdomain2> [...]`\n\nFind shared keywords and backlink sources across 2-20 domains.\n\n**MCP tools:** `dataforseo_labs_google_domain_intersection`, `backlinks_domain_intersection`\n\n**Parameters:** domains (2-20 array)\n\n**Output:** Shared keywords with positions per domain, shared backlink sources, unique keywords per domain.\n\n### `\u002Fseo dataforseo traffic \u003Cdomains>`\n\nEstimate organic search traffic for one or more domains.\n\n**MCP tools:** `dataforseo_labs_bulk_traffic_estimation`\n\n**Parameters:** domains (array)\n\n**Output:** Domain, estimated organic traffic, estimated traffic cost, top keywords.\n\n### `\u002Fseo dataforseo subdomains \u003Cdomain>`\n\nEnumerate subdomains with their ranking data and traffic estimates.\n\n**MCP tools:** `dataforseo_labs_google_subdomains`\n\n**Parameters:** target (domain), location_code, language_code\n\n**Output:** Subdomain, ranked keywords count, estimated traffic, organic cost.\n\n### `\u002Fseo dataforseo top-searches \u003Cdomain>`\n\nFind the most popular search queries that mention a specific domain in results.\n\n**MCP tools:** `dataforseo_labs_google_top_searches`\n\n**Parameters:** target (domain), location_code, language_code\n\n**Output:** Query, search volume, domain position, SERP features, traffic share.\n\n---\n\n## Technical \u002F On-Page\n\n### `\u002Fseo dataforseo onpage \u003Curl>`\n\nRun on-page analysis including Lighthouse audit and content parsing.\n\n**MCP tools:** `on_page_instant_pages`, `on_page_content_parsing`, `on_page_lighthouse`\n\n**Usage:**\n- `on_page_instant_pages`:Quick page analysis (status codes, meta tags, content size, page timing, broken links, on-page checks)\n- `on_page_content_parsing`:Extract and parse page content (plain text, word count, structure)\n- `on_page_lighthouse`:Full Lighthouse audit (performance score, accessibility, best practices, SEO, Core Web Vitals)\n\n**Output:** Pages crawled, status codes, meta tags, titles, content size, load times, Lighthouse scores, broken links, resource analysis.\n\n### `\u002Fseo dataforseo tech \u003Cdomain>`\n\nDetect technologies used on a domain.\n\n**MCP tools:** `domain_analytics_technologies_domain_technologies`\n\n**Output:** Technology name, version, category (CMS, analytics, CDN, framework, etc.).\n\n### `\u002Fseo dataforseo whois \u003Cdomain>`\n\nRetrieve WHOIS registration data.\n\n**MCP tools:** `domain_analytics_whois_overview`\n\n**Output:** Registrar, creation date, expiration date, nameservers, registrant info (if public).\n\n---\n\n## Content & Business Data\n\n### `\u002Fseo dataforseo content \u003Ckeyword\u002Furl>`\n\nAnalyze content quality, search for content by topic, and track phrase trends.\n\n**MCP tools:** `content_analysis_search`, `content_analysis_summary`, `content_analysis_phrase_trends`\n\n**Parameters:** keyword (for search\u002Ftrends) or URL (for summary)\n\n**Output:** Content matches with quality scores, sentiment analysis, readability metrics, phrase trend data over time.\n\n### `\u002Fseo dataforseo listings \u003Ckeyword>`\n\nSearch business listings for local SEO competitive analysis.\n\n**MCP tools:** `business_data_business_listings_search`\n\n**Parameters:** keyword, location (optional)\n\n**Output:** Business name, description, category, address, phone, domain, rating, review count, claimed status.\n\n---\n\n## AI Visibility \u002F GEO\n\n### `\u002Fseo dataforseo ai-scrape \u003Cquery>`\n\nScrape what ChatGPT web search returns for a query. ChatGPT visibility check: see which sources ChatGPT cites for your target keywords. Check Google AI Overviews and AI Mode with GSC gen-AI reports when available.\n\n**MCP tools:** `ai_optimization_chat_gpt_scraper`\n\n**Parameters:** query, location_code (optional), language_code (optional). Use `ai_optimization_chat_gpt_scraper_locations` to look up available locations.\n\n**Output:** ChatGPT response content, cited sources\u002FURLs, referenced domains.\n\n### `\u002Fseo dataforseo ai-mentions \u003Ckeyword>`\n\nTrack how LLMs mention brands, domains, and topics. Critical for GEO. Measures actual AI visibility across multiple LLM platforms.\n\n**MCP tools:** `ai_opt_llm_ment_search`, `ai_opt_llm_ment_top_domains`, `ai_opt_llm_ment_top_pages`, `ai_opt_llm_ment_agg_metrics`\n\n**Parameters:** keyword, location_code (optional), language_code (optional). Use `ai_opt_llm_ment_loc_and_lang` for available locations\u002Flanguages and `ai_optimization_llm_models` for supported LLM models.\n\n**Workflow:**\n1. Search LLM mentions with `ai_opt_llm_ment_search` (find mentions of a brand\u002Fkeyword across LLM responses)\n2. Get top cited domains with `ai_opt_llm_ment_top_domains` (which domains are most cited for this topic)\n3. Get top cited pages with `ai_opt_llm_ment_top_pages` (which specific pages are most cited)\n4. Get aggregate metrics with `ai_opt_llm_ment_agg_metrics` (overall mention volume, trends)\n\n**Output:** LLM mention count, top cited domains with frequency, top cited pages, mention trends over time, cross-platform visibility scores.\n\n**Advanced:** Use `ai_opt_llm_ment_cross_agg_metrics` for cross-model comparison (how mentions differ across ChatGPT, Claude, Perplexity, etc.).\n\n---\n\n## Available Utility Tools\n\nAdditional DataForSEO MCP tools are available for internal use but do not have dedicated commands. Load `references\u002Ftool-catalog.md` when you need to find a specific utility tool (location lookups, bulk operations, historical data, filter options).\n\n## Cross-Skill Integration\n\nWhen DataForSEO MCP tools are available, other claude-seo skills can leverage live data:\n\n- **seo-audit**:Spawn `seo-dataforseo` agent for real SERP, backlink, on-page, and listings data\n- **seo-technical**:Use `on_page_instant_pages` \u002F `on_page_lighthouse` for real crawl data, `domain_analytics_technologies_domain_technologies` for stack detection\n- **seo-content**:Use `kw_data_google_ads_search_volume`, `dataforseo_labs_bulk_keyword_difficulty`, `dataforseo_labs_search_intent` for real keyword metrics, `content_analysis_summary` for content quality\n- **seo-page**:Use `serp_organic_live_advanced` for real SERP positions, `backlinks_summary` for link data\n- **seo-images**:Use `serp_google_images_live_advanced` for competitor image SERP data, cross-reference with on-page image audit\n- **seo-geo**:Use `ai_optimization_chat_gpt_scraper` for real ChatGPT visibility, `ai_opt_llm_ment_search` for LLM mention tracking\n- **seo-plan**:Use `dataforseo_labs_google_competitors_domain`, `dataforseo_labs_google_domain_intersection`, `dataforseo_labs_bulk_traffic_estimation` for real competitive intelligence\n\n## Error Handling\n\n- **MCP server not connected**: Report that DataForSEO extension is not installed or MCP server is unreachable. 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Suggest broadening the query or checking location\u002Flanguage codes\n- **Invalid location code**: Report the error and suggest using the locations lookup tool to find the correct code\n\n## Output Formatting\n\nMatch existing claude-seo output patterns:\n- Use tables for comparative data\n- Prioritize issues as Critical > High > Medium > Low\n- Include specific, actionable recommendations\n- Show scores as XX\u002F100 where applicable\n- Note data source as \"DataForSEO (live)\" to distinguish from static analysis\n",{"name":5,"license":15,"metadata":71,"description":74,"argument-hint":75,"compatibility":76,"user-invocable":77},{"author":72,"version":73,"category":39},"AgriciDaniel","2.2.4","Live SEO data via DataForSEO MCP server: SERP analysis, keyword research (volume, difficulty, intent, trends), backlink profiles, on-page analysis, competitor and content analysis, business listings, AI visibility (LLM mention tracking), and domain analytics. 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Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.","https:\u002F\u002Fgithub.com\u002Fnoirelab\u002Flinux-setup\u002Fblob\u002Fmain\u002Fconfigs\u002Fcommon\u002Fopencode_home\u002Fskills\u002Freturns-reverse-logistics\u002FSKILL.md",[],[149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,51,165,166,167,168,169,170,171,172,173,138,174,175,42,176],"returns","returns reverse logistics","reverse logistics","reverse","github","code","product","https","authorization","detection","fraud","recovery","decisions","management","operations","vendor","claims management","frameworks","fraud detection","pattern","grading","processing","economics","managers","claims","expertise","refund","inspection",{"skillNo":178,"name":179,"nameZh":6,"description":180,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":118,"licenseFileUrl":6,"sourceHtmlUrl":181,"categories":182,"keywords":183,"publishedAt":66},"01M6C2ZGWSNZGZZQ5VCFWHD2QT","quality-nonconformance","Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.","https:\u002F\u002Fgithub.com\u002Fnoirelab\u002Flinux-setup\u002Fblob\u002Fmain\u002Fconfigs\u002Fcommon\u002Fopencode_home\u002Fskills\u002Fquality-nonconformance\u002FSKILL.md",[],[184,185,153,186,187,154,188,156,189,59,190,191,58,192,162,51,193,194,195,196,197,198,199,200,138,174,201,42],"quality","quality nonconformance","root cause analysis","interpretation","issues","audit","methodology","lifecycle","investigation","fda","across","manufacturing","environments","corrective action","supplier quality management","action","conformance","root cause",{"skillNo":203,"name":204,"nameZh":6,"description":205,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":118,"licenseFileUrl":6,"sourceHtmlUrl":206,"categories":207,"keywords":208,"publishedAt":66},"01M6C2Z8VQ9AYZYKPZW1KD9DX5","production-scheduling","Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC\u002Fdrum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP\u002FMES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.","https:\u002F\u002Fgithub.com\u002Fnoirelab\u002Flinux-setup\u002Fblob\u002Fmain\u002Fconfigs\u002Fcommon\u002Fopencode_home\u002Fskills\u002Fproduction-scheduling\u002FSKILL.md",[],[209,210,211,153,154,212,156,213,58,214,215,51,216,217,166,218,219,220,195,221,138,174,42],"Production","production scheduling","scheduling","batch","Optimization","erp","bottleneck","toc","patterns","line","interaction","sequencing","buffer",{"skillNo":223,"name":224,"nameZh":6,"description":225,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":118,"licenseFileUrl":6,"sourceHtmlUrl":226,"categories":227,"keywords":228,"publishedAt":66},"01M6C2YR01NNN2Z1G18RN7F9MP","logistics-exception-management","Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.","https:\u002F\u002Fgithub.com\u002Fnoirelab\u002Flinux-setup\u002Fblob\u002Fmain\u002Fconfigs\u002Fcommon\u002Fopencode_home\u002Fskills\u002Flogistics-exception-management\u002FSKILL.md",[],[162,229,153,154,230,188,231,156,232,51,166,233,234,235,236,173,138,174,237,42],"logistics exception management","shipping","protocols","escalation","delivery","claude-code","judgment","with","freight",{"skillNo":239,"name":240,"nameZh":6,"description":241,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":118,"licenseFileUrl":6,"sourceHtmlUrl":242,"categories":243,"keywords":244,"publishedAt":66},"01M6C2YC5PXTEJYBJJQZVXPQS0","inventory-demand-planning","Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC\u002FXYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.","https:\u002F\u002Fgithub.com\u002Fnoirelab\u002Flinux-setup\u002Fblob\u002Fmain\u002Fconfigs\u002Fcommon\u002Fopencode_home\u002Fskills\u002Finventory-demand-planning\u002FSKILL.md",[],[245,246,247,248,153,154,156,249,213,250,58,162,164,251,51,252,166,253,254,255,256,257,138,174,258,42],"planning","inventory","inventory demand planning","demand planning","negotiation","Safety","forecasting","selection","estimation","stock","seasonal","lift","at","transition"]