seo-dataforseo
Use DataForSEO for live SERPs, keyword metrics, backlinks, competitor analysis, on-page checks, and AI visibility data. Trigger when the user needs real SEO data rather than static guidance.
Best use case
seo-dataforseo is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Use DataForSEO for live SERPs, keyword metrics, backlinks, competitor analysis, on-page checks, and AI visibility data. Trigger when the user needs real SEO data rather than static guidance.
Use DataForSEO for live SERPs, keyword metrics, backlinks, competitor analysis, on-page checks, and AI visibility data. Trigger when the user needs real SEO data rather than static guidance.
Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.
Practical example
Example input
Use the "seo-dataforseo" skill to help with this workflow task. Context: Use DataForSEO for live SERPs, keyword metrics, backlinks, competitor analysis, on-page checks, and AI visibility data. Trigger when the user needs real SEO data rather than static guidance.
Example output
A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.
When to use this skill
- Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
When not to use this skill
- Do not use this when you only need a one-off answer and do not need a reusable workflow.
- Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/seo-dataforseo/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How seo-dataforseo Compares
| Feature / Agent | seo-dataforseo | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Use DataForSEO for live SERPs, keyword metrics, backlinks, competitor analysis, on-page checks, and AI visibility data. Trigger when the user needs real SEO data rather than static guidance.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# DataForSEO: Live SEO Data (Extension) Live search data via the DataForSEO MCP server. Provides real-time SERP results, keyword metrics, backlink profiles, on-page analysis, content analysis, business listings, AI visibility checking, and LLM mention tracking across 9 API modules with 79 MCP tools. ## When to Use - Use when the user needs live SEO data instead of static best-practice guidance. - Use for SERP lookups, keyword volumes, backlink checks, competitor data, or AI visibility tracking. - Use only when the DataForSEO extension is available in the environment. ## Prerequisites This skill requires the DataForSEO extension to be installed: ```bash ./extensions/dataforseo/install.sh ``` **Check availability:** Before using any DataForSEO tool, verify the MCP server is connected by checking if `serp_organic_live_advanced` or any DataForSEO tool is available. If tools are not available, inform the user the extension is not installed and provide install instructions. ## API Credit Awareness DataForSEO charges per API call. Be efficient: - Prefer bulk endpoints over multiple single calls - Use default parameters (US, English) unless user specifies otherwise - Cache results mentally within a session; don't re-fetch the same data - Warn user before running expensive operations (full backlink crawls, large keyword lists) ## Quick Reference | Command | What it does | |---------|-------------| | `/seo dataforseo serp <keyword>` | Google organic SERP results | | `/seo dataforseo serp-youtube <keyword>` | YouTube search results | | `/seo dataforseo youtube <video_id>` | YouTube video deep analysis | | `/seo dataforseo keywords <seed>` | Keyword ideas and suggestions | | `/seo dataforseo volume <keywords>` | Search volume for keywords | | `/seo dataforseo difficulty <keywords>` | Keyword difficulty scores | | `/seo dataforseo intent <keywords>` | Search intent classification | | `/seo dataforseo trends <keyword>` | Google Trends data | | `/seo dataforseo backlinks <domain>` | Full backlink profile | | `/seo dataforseo competitors <domain>` | Competitor domain analysis | | `/seo dataforseo ranked <domain>` | Ranked keywords for domain | | `/seo dataforseo intersection <domains>` | Keyword/backlink overlap | | `/seo dataforseo traffic <domains>` | Bulk traffic estimation | | `/seo dataforseo subdomains <domain>` | Subdomains with ranking data | | `/seo dataforseo top-searches <domain>` | Top queries mentioning domain | | `/seo dataforseo onpage <url>` | On-page analysis (Lighthouse + parsing) | | `/seo dataforseo tech <domain>` | Technology stack detection | | `/seo dataforseo whois <domain>` | WHOIS registration data | | `/seo dataforseo content <keyword/url>` | Content analysis and trends | | `/seo dataforseo listings <keyword>` | Business listings search | | `/seo dataforseo ai-scrape <query>` | ChatGPT web scraper for GEO | | `/seo dataforseo ai-mentions <keyword>` | LLM mention tracking for GEO | --- ## SERP Analysis ### `/seo dataforseo serp <keyword>` Fetch live Google organic search results. **MCP tools:** `serp_organic_live_advanced` **Default parameters:** location_code=2840 (US), language_code=en, device=desktop, depth=100 **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. **Output:** Rank, URL, title, description, domain, featured snippets, AI overview references, People Also Ask. ### `/seo dataforseo serp-youtube <keyword>` Fetch YouTube search results. Valuable for GEO. YouTube mentions correlate most strongly with AI citations. **MCP tools:** `serp_youtube_organic_live_advanced` **Output:** Video title, channel, views, upload date, description, URL. ### `/seo dataforseo youtube <video_id>` Deep analysis of a specific YouTube video: info, comments, and subtitles. YouTube mentions have the strongest correlation (0.737) with AI visibility, making this critical for GEO analysis. **MCP tools:** `serp_youtube_video_info_live_advanced`, `serp_youtube_video_comments_live_advanced`, `serp_youtube_video_subtitles_live_advanced` **Parameters:** video_id (the YouTube video ID, e.g., "dQw4w9WgXcQ") **Output:** Video metadata (title, channel, views, likes, description), top comments with engagement, subtitle/transcript text. --- ## Keyword Research ### `/seo dataforseo keywords <seed>` Generate keyword ideas, suggestions, and related terms from a seed keyword. **MCP tools:** `dataforseo_labs_google_keyword_ideas`, `dataforseo_labs_google_keyword_suggestions`, `dataforseo_labs_google_related_keywords` **Default parameters:** location_code=2840 (US), language_code=en, limit=50 **Output:** Keyword, search volume, CPC, competition level, keyword difficulty, trend. ### `/seo dataforseo volume <keywords>` Get search volume and metrics for a list of keywords. **MCP tools:** `kw_data_google_ads_search_volume` **Parameters:** keywords (array, comma-separated), location_code, language_code **Output:** Keyword, monthly search volume, CPC, competition, monthly trend data. ### `/seo dataforseo difficulty <keywords>` Calculate keyword difficulty scores for ranking competitiveness. **MCP tools:** `dataforseo_labs_bulk_keyword_difficulty` **Parameters:** keywords (array), location_code, language_code **Output:** Keyword, difficulty score (0-100), interpretation (Easy/Medium/Hard/Very Hard). ### `/seo dataforseo intent <keywords>` Classify keywords by user search intent. **MCP tools:** `dataforseo_labs_search_intent` **Parameters:** keywords (array), location_code, language_code **Output:** Keyword, intent type (informational, navigational, commercial, transactional), confidence score. ### `/seo dataforseo trends <keyword>` Analyze keyword trends over time using Google Trends data. **MCP tools:** `kw_data_google_trends_explore` **Parameters:** keywords (array), location_code, date_from, date_to, language_code **Output:** Keyword, time series data, trend direction, seasonality signals. --- ## Domain & Competitor Analysis ### `/seo dataforseo backlinks <domain>` Comprehensive backlink profile analysis. **MCP tools:** `backlinks_summary`, `backlinks_backlinks`, `backlinks_anchors`, `backlinks_referring_domains`, `backlinks_bulk_spam_score`, `backlinks_timeseries_summary` **Default parameters:** limit=100 per sub-call **Output:** Total backlinks, referring domains, domain rank, spam score, top anchors, new/lost backlinks over time, dofollow ratio, top referring domains. ### `/seo dataforseo competitors <domain>` Identify competing domains and estimate traffic. **MCP tools:** `dataforseo_labs_google_competitors_domain`, `dataforseo_labs_google_domain_rank_overview`, `dataforseo_labs_bulk_traffic_estimation` **Output:** Competitor domains, keyword overlap %, estimated traffic, domain rank, common keywords. ### `/seo dataforseo ranked <domain>` List keywords a domain ranks for with positions and page data. **MCP tools:** `dataforseo_labs_google_ranked_keywords`, `dataforseo_labs_google_relevant_pages` **Default parameters:** limit=100, location_code=2840 **Output:** Keyword, position, URL, search volume, traffic share, SERP features. ### `/seo dataforseo intersection <domain1> <domain2> [...]` Find shared keywords and backlink sources across 2-20 domains. **MCP tools:** `dataforseo_labs_google_domain_intersection`, `backlinks_domain_intersection` **Parameters:** domains (2-20 array) **Output:** Shared keywords with positions per domain, shared backlink sources, unique keywords per domain. ### `/seo dataforseo traffic <domains>` Estimate organic search traffic for one or more domains. **MCP tools:** `dataforseo_labs_bulk_traffic_estimation` **Parameters:** domains (array) **Output:** Domain, estimated organic traffic, estimated traffic cost, top keywords. ### `/seo dataforseo subdomains <domain>` Enumerate subdomains with their ranking data and traffic estimates. **MCP tools:** `dataforseo_labs_google_subdomains` **Parameters:** target (domain), location_code, language_code **Output:** Subdomain, ranked keywords count, estimated traffic, organic cost. ### `/seo dataforseo top-searches <domain>` Find the most popular search queries that mention a specific domain in results. **MCP tools:** `dataforseo_labs_google_top_searches` **Parameters:** target (domain), location_code, language_code **Output:** Query, search volume, domain position, SERP features, traffic share. --- ## Technical / On-Page ### `/seo dataforseo onpage <url>` Run on-page analysis including Lighthouse audit and content parsing. **MCP tools:** `on_page_instant_pages`, `on_page_content_parsing`, `on_page_lighthouse` **Usage:** - `on_page_instant_pages`:Quick page analysis (status codes, meta tags, content size, page timing, broken links, on-page checks) - `on_page_content_parsing`:Extract and parse page content (plain text, word count, structure) - `on_page_lighthouse`:Full Lighthouse audit (performance score, accessibility, best practices, SEO, Core Web Vitals) **Output:** Pages crawled, status codes, meta tags, titles, content size, load times, Lighthouse scores, broken links, resource analysis. ### `/seo dataforseo tech <domain>` Detect technologies used on a domain. **MCP tools:** `domain_analytics_technologies_domain_technologies` **Output:** Technology name, version, category (CMS, analytics, CDN, framework, etc.). ### `/seo dataforseo whois <domain>` Retrieve WHOIS registration data. **MCP tools:** `domain_analytics_whois_overview` **Output:** Registrar, creation date, expiration date, nameservers, registrant info (if public). --- ## Content & Business Data ### `/seo dataforseo content <keyword/url>` Analyze content quality, search for content by topic, and track phrase trends. **MCP tools:** `content_analysis_search`, `content_analysis_summary`, `content_analysis_phrase_trends` **Parameters:** keyword (for search/trends) or URL (for summary) **Output:** Content matches with quality scores, sentiment analysis, readability metrics, phrase trend data over time. ### `/seo dataforseo listings <keyword>` Search business listings for local SEO competitive analysis. **MCP tools:** `business_data_business_listings_search` **Parameters:** keyword, location (optional) **Output:** Business name, description, category, address, phone, domain, rating, review count, claimed status. --- ## AI Visibility / GEO ### `/seo dataforseo ai-scrape <query>` Scrape what ChatGPT web search returns for a query. Real GEO visibility check: see which sources ChatGPT cites for your target keywords. **MCP tools:** `ai_optimization_chat_gpt_scraper` **Parameters:** query, location_code (optional), language_code (optional). Use `ai_optimization_chat_gpt_scraper_locations` to look up available locations. **Output:** ChatGPT response content, cited sources/URLs, referenced domains. ### `/seo dataforseo ai-mentions <keyword>` Track how LLMs mention brands, domains, and topics. Critical for GEO. Measures actual AI visibility across multiple LLM platforms. **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` **Parameters:** keyword, location_code (optional), language_code (optional). Use `ai_opt_llm_ment_loc_and_lang` for available locations/languages and `ai_optimization_llm_models` for supported LLM models. **Workflow:** 1. Search LLM mentions with `ai_opt_llm_ment_search` (find mentions of a brand/keyword across LLM responses) 2. Get top cited domains with `ai_opt_llm_ment_top_domains` (which domains are most cited for this topic) 3. Get top cited pages with `ai_opt_llm_ment_top_pages` (which specific pages are most cited) 4. Get aggregate metrics with `ai_opt_llm_ment_agg_metrics` (overall mention volume, trends) **Output:** LLM mention count, top cited domains with frequency, top cited pages, mention trends over time, cross-platform visibility scores. **Advanced:** Use `ai_opt_llm_ment_cross_agg_metrics` for cross-model comparison (how mentions differ across ChatGPT, Claude, Perplexity, etc.). --- ## Available Utility Tools These DataForSEO tools are available for internal use by the agent but do not have dedicated commands: - `serp_locations`:Location code lookups for SERP queries - `serp_youtube_locations`:Location code lookups for YouTube queries - `kw_data_google_ads_locations`:Location lookups for keyword data - `kw_data_dfs_trends_demography`:Demographic data for trend analysis - `kw_data_dfs_trends_subregion_interests`:Subregion interest data for trends - `kw_data_dfs_trends_explore`:DFS proprietary trends data - `kw_data_google_trends_categories`:Google Trends category lookups - `dataforseo_labs_google_keyword_overview`:Quick keyword metrics overview - `dataforseo_labs_google_historical_serp`:Historical SERP results for a keyword - `dataforseo_labs_google_serp_competitors`:Competitors for a specific SERP - `dataforseo_labs_google_keywords_for_site`:Keywords a site ranks for (alternative to ranked) - `dataforseo_labs_google_page_intersection`:Page-level intersection analysis - `dataforseo_labs_google_historical_rank_overview`:Historical domain rank data - `dataforseo_labs_google_historical_keyword_data`:Historical keyword metrics - `dataforseo_labs_available_filters`:Available filter options for Labs endpoints - `backlinks_competitors`:Find domains with similar backlink profiles - `backlinks_bulk_backlinks`:Bulk backlink counts for multiple targets - `backlinks_bulk_new_lost_referring_domains`:Bulk new/lost referring domains - `backlinks_bulk_new_lost_backlinks`:Bulk new/lost backlinks - `backlinks_bulk_ranks`:Bulk rank overview for multiple targets - `backlinks_bulk_referring_domains`:Bulk referring domain counts - `backlinks_domain_pages_summary`:Summary of pages on a domain - `backlinks_domain_pages`:List pages on a domain with backlink data - `backlinks_page_intersection`:Shared backlink sources at page level - `backlinks_referring_networks`:Referring network analysis - `backlinks_timeseries_new_lost_summary`:Track new/lost backlinks over time - `backlinks_bulk_pages_summary`:Bulk page summaries - `backlinks_available_filters`:Available filter options for Backlinks endpoints - `domain_analytics_whois_available_filters`:WHOIS filter options - `domain_analytics_technologies_available_filters`:Technology detection filter options - `ai_opt_kw_data_loc_and_lang`:AI optimization keyword data locations/languages - `ai_optimization_keyword_data_search_volume`:AI-specific keyword volume data - `ai_optimization_llm_response`:Direct LLM response analysis - `ai_optimization_llm_mentions_filters`:Available filters for LLM mentions - `ai_optimization_chat_gpt_scraper_locations`:Available locations for ChatGPT scraper ## Cross-Skill Integration When DataForSEO MCP tools are available, other claude-seo skills can leverage live data: - **seo-audit**:Spawn `seo-dataforseo` agent for real SERP, backlink, on-page, and listings data - **seo-technical**:Use `on_page_instant_pages` / `on_page_lighthouse` for real crawl data, `domain_analytics_technologies_domain_technologies` for stack detection - **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 - **seo-page**:Use `serp_organic_live_advanced` for real SERP positions, `backlinks_summary` for link data - **seo-geo**:Use `ai_optimization_chat_gpt_scraper` for real ChatGPT visibility, `ai_opt_llm_ment_search` for LLM mention tracking - **seo-plan**:Use `dataforseo_labs_google_competitors_domain`, `dataforseo_labs_google_domain_intersection`, `dataforseo_labs_bulk_traffic_estimation` for real competitive intelligence ## Error Handling - **MCP server not connected**: Report that DataForSEO extension is not installed or MCP server is unreachable. Suggest running `./extensions/dataforseo/install.sh` - **API authentication failed**: Report invalid credentials. Suggest checking DataForSEO API login/password in MCP config - **Rate limit exceeded**: Report the limit hit and suggest waiting before retrying - **No results returned**: Report "no data found" for the query rather than guessing. Suggest broadening the query or checking location/language codes - **Invalid location code**: Report the error and suggest using the locations lookup tool to find the correct code ## Output Formatting Match existing claude-seo output patterns: - Use tables for comparative data - Prioritize issues as Critical > High > Medium > Low - Include specific, actionable recommendations - Show scores as XX/100 where applicable - Note data source as "DataForSEO (live)" to distinguish from static analysis ## Limitations - Use this skill only when the task clearly matches the scope described above. - Do not treat the output as a substitute for environment-specific validation, testing, or expert review. - Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
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