SEO Dataforseo
AgriciDaniel/codex-seo
Live SEO data via DataForSEO MCP server. An agent skill from AgriciDaniel/codex-seo.
Pulls live SERP results, keyword metrics, backlink profiles and AI visibility data through the DataForSEO MCP server, with a cost check before each call.
$ npx skills add AgriciDaniel/claude-seo --skill seo-dataforseo -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install AgriciDaniel/claude-seo seo-dataforseo --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/AgriciDaniel/claude-seo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/seo-dataforseo .claude/skills/seo-dataforseo && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "seo-dataforseo" agent skill from https://github.com/AgriciDaniel/claude-seo/tree/main/skills/seo-dataforseo into .claude/skills/seo-dataforseo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-dataforseo", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/AgriciDaniel/claude-seo/tree/main/skills/seo-dataforseoType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add AgriciDaniel/claude-seo --skill seo-dataforseo -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install AgriciDaniel/claude-seo seo-dataforseo --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgriciDaniel/claude-seo.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/seo-dataforseo .agents/skills/seo-dataforseo && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "seo-dataforseo" agent skill from https://github.com/AgriciDaniel/claude-seo/tree/main/skills/seo-dataforseo into .agents/skills/seo-dataforseo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-dataforseo", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add AgriciDaniel/claude-seo --skill seo-dataforseo -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install AgriciDaniel/claude-seo seo-dataforseo --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgriciDaniel/claude-seo.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/seo-dataforseo .cursor/skills/seo-dataforseo && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "seo-dataforseo" agent skill from https://github.com/AgriciDaniel/claude-seo/tree/main/skills/seo-dataforseo into .cursor/skills/seo-dataforseo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-dataforseo", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/AgriciDaniel/claude-seo.git --path skills/seo-dataforseo--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add AgriciDaniel/claude-seo --skill seo-dataforseo -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install AgriciDaniel/claude-seo seo-dataforseo --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgriciDaniel/claude-seo.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/seo-dataforseo .gemini/skills/seo-dataforseo && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "seo-dataforseo" agent skill from https://github.com/AgriciDaniel/claude-seo/tree/main/skills/seo-dataforseo into .gemini/skills/seo-dataforseo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-dataforseo", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install AgriciDaniel/claude-seo seo-dataforseoInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add AgriciDaniel/claude-seo --skill seo-dataforseo -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/AgriciDaniel/claude-seo.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/seo-dataforseo .github/skills/seo-dataforseo && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "seo-dataforseo" agent skill from https://github.com/AgriciDaniel/claude-seo/tree/main/skills/seo-dataforseo into .github/skills/seo-dataforseo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-dataforseo", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add AgriciDaniel/claude-seo --skill seo-dataforseo -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install AgriciDaniel/claude-seo seo-dataforseo --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgriciDaniel/claude-seo.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/seo-dataforseo .opencode/skills/seo-dataforseo && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "seo-dataforseo" agent skill from https://github.com/AgriciDaniel/claude-seo/tree/main/skills/seo-dataforseo into .opencode/skills/seo-dataforseo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-dataforseo", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
seo-dataforseoPulls live SERP results, keyword metrics, backlink profiles and AI visibility data through the DataForSEO MCP server, with a cost check before each call.
This skill connects the agent to DataForSEO through an MCP server that spans nine API modules and more than 79 tools. It covers live Google and YouTube SERPs, keyword volume, difficulty, intent and trends, backlinks, on-page analysis, content and competitor analysis, business listings, domain analytics, AI visibility checks and LLM mention tracking.
DataForSEO bills per call, so the skill runs a cost-estimation script before each request. An approved status proceeds, a needs-approval status shows you the estimate first, and a blocked status stops the call because the daily budget would be exceeded. Actual costs are logged afterward, and slash commands show today's spending, a seven-day summary or let you set an approval threshold. The agent is also told to prefer bulk endpoints and not to re-fetch data it already has.
The extension has to be installed first with the install script in the extensions folder. When the MCP tools are not connected, the skill has the agent say so and give install instructions instead of guessing. Reference files hold the cost tiers and a tool catalog.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 4b99de2. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Requires DataForSEO MCP server
From compatibility in the SKILL.md frontmatter.
DataForSEO Live SEO Data loads about 4.4k tokens when it runs, and up to ~6k if it reads all its reference files. Until then it costs about 111 tokens; SKILL.md has 1,840 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from AgriciDaniel/claude-seo at commit 4b99de2, republished under its MIT licence (© AgriciDaniel). 1,840 words, ~4,426 tokens.
.claude/skills/seo-dataforseo/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Live search data via the DataForSEO MCP server. Provides real-time SERP results (organic + images), 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.
This skill requires the DataForSEO extension to be installed:
./extensions/dataforseo/install.shCheck 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.
DataForSEO charges per API call. Be efficient:
Before every DataForSEO MCP call, run cost estimation:
"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run dataforseo_costs.py check <endpoint> [--count N]"status": "approved" → proceed with the API call"status": "needs_approval" → show the cost estimate to the user and ask for confirmation before proceeding"status": "blocked" → inform the user that the daily budget limit would be exceeded; do NOT proceedAfter each API call completes, log the cost:
"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run dataforseo_costs.py log <endpoint> <actual_cost>User commands for cost management:
/seo dataforseo costs today → show today's spending breakdown/seo dataforseo costs summary → show 7-day spending history/seo dataforseo costs config --mode threshold --threshold 0.50 → configure approval modeLoad references/cost-tiers.md for the full pricing table, budget presets, and cost reduction tips.
| Command | What it does |
|---|---|
/seo dataforseo serp <keyword> | Google organic SERP results |
/seo dataforseo serp-images <keyword> | Image elements from the organic SERP (the pinned MCP server has no Google Images tool) |
/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 |
/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. Some third-party studies report a 0.737 correlation between YouTube mentions and AI visibility, so treat this as a methodology-dependent GEO signal.
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.
/seo dataforseo serp-images <keyword>Report the image elements Google shows in the organic results for a keyword (the pinned MCP server has no Google Images tool, so this is not a full Images SERP). See which images appear, which domains dominate them, and identify visual content opportunities.
MCP tools: none. The pinned dataforseo-mcp-server@2.8.10 exposes no
Google Images SERP tool (checked against the package, 2026-09-23). Say image
SERP data is unavailable through the MCP and never call a tool by that name;
an images element in serp_organic_live_advanced results, when present,
is the closest substitute.
Default parameters: location_code=2840 (US), language_code=en, device=desktop, depth=100
Parameters: keyword (required), depth (optional, max 700, billed per 100-result increment), search_param (optional, e.g. "site:example.com")
Cost warning: Using site: or filetype: operators incurs 5x API cost. Warn user before running filtered queries.
Output: Position, title, alt text, source page URL, direct image URL, domain, encoded URL.
Analysis to provide:
/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.
/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.
/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).
/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.
/seo dataforseo ai-scrape <query>Scrape 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.
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:
ai_opt_llm_ment_search (find mentions of a brand/keyword across LLM responses)ai_opt_llm_ment_top_domains (which domains are most cited for this topic)ai_opt_llm_ment_top_pages (which specific pages are most cited)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.).
Additional DataForSEO MCP tools are available for internal use but do not have dedicated commands. Load references/tool-catalog.md when you need to find a specific utility tool (location lookups, bulk operations, historical data, filter options).
When DataForSEO MCP tools are available, other claude-seo skills can leverage live data:
seo-dataforseo agent for real SERP, backlink, on-page, and listings dataon_page_instant_pages / on_page_lighthouse for real crawl data, domain_analytics_technologies_domain_technologies for stack detectionkw_data_google_ads_search_volume, dataforseo_labs_bulk_keyword_difficulty, dataforseo_labs_search_intent for real keyword metrics, content_analysis_summary for content qualityserp_organic_live_advanced for real SERP positions, backlinks_summary for link dataimages element from serp_organic_live_advanced, cross-referenced with the on-page image auditai_optimization_chat_gpt_scraper for real ChatGPT visibility, ai_opt_llm_ment_search for LLM mention trackingdataforseo_labs_google_competitors_domain, dataforseo_labs_google_domain_intersection, dataforseo_labs_bulk_traffic_estimation for real competitive intelligence./extensions/dataforseo/install.shMatch existing claude-seo output patterns:
© AgriciDaniel, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files (references) in skills/seo-dataforseo of AgriciDaniel/claude-seo.
Open the folder on GitHubat commit 4b99de2
DataForSEO Live SEO Data next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| DataForSEO Live SEO Data this skillAgriciDaniel/claude-seo | 19k | — | ~4.4k | Automated safety check: Pass | MIT | |
| SEO DataforseoAgriciDaniel/codex-seo | 797 | 2 repos | ~4.6k | Automated safety check: Pass | MIT | |
| SEO Dataforseohashgraph-online/awesome-codex-plugins | 1.3k | — | ~4.5k | Automated safety check: Notes | MIT | |
| SEO Dataforseosickn33/agentic-awesome-skills | 47k | 2 repos | ~4.4k | Automated safety check: Notes | MIT | |
| SEO APIseranking/seo-skills | 160 | — | ~4.1k | Automated safety check: Pass | MIT | |
| Localseodata Toolgarrettjsmith/localseoskills | 120 | — | ~4.1k | Automated safety check: Pass | MIT |
AgriciDaniel/codex-seo
Live SEO data via DataForSEO MCP server. An agent skill from AgriciDaniel/codex-seo.
hashgraph-online/awesome-codex-plugins
Live SEO data via DataForSEO API credentials. An agent skill from hashgraph-online/awesome-codex-plugins.
sickn33/agentic-awesome-skills
Use DataForSEO for live SERPs, keyword metrics, backlinks, competitor analysis, on-page checks, and AI visibility data.
seranking/seo-skills
SE Ranking API integration architect. An agent skill from seranking/seo-skills.
garrettjsmith/localseoskills
When the user wants to pull local SEO data — SERP results, local pack rankings, business profile data, reviews, citations, audits, geogrid scans, keyword research, AI visibility, competitor…
Ryze-AI-Adgent/open-seo-mcp-skills
Find keywords a competitor ranks for that the user's site doesn't — the content gap, prioritized by volume and winnability.
AgriciDaniel/claude-seo
Audits, validates and generates hreflang tags for multi-language and multi-region sites in HTML, HTTP headers or XML sitemaps, flagging common code and return-tag mistakes.
AgriciDaniel/claude-seo
Pulls real Google data for SEO work: Search Console, PageSpeed Insights, CrUX field data, the Indexing API and GA4 organic traffic, through /seo google commands.
AgriciDaniel/claude-seo
Clusters keywords by how much their search results overlap and designs a hub-and-spoke content plan with an internal link matrix and an interactive cluster map.
AgriciDaniel/claude-seo
Builds research-backed SEO content briefs with competitor scoring, per-section word counts and page-type templates, for new pages or improving existing ones.
AgriciDaniel/claude-seo
Brings the FLOW framework's stage-specific SEO prompts into the agent, from keyword discovery through backlinks, on-page work and conversion to local SEO, loaded on demand.
AgriciDaniel/claude-seo
Generates Open Graph previews, blog hero images, product photos and infographics for SEO use through Gemini image tools and the banana extension.
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Pulls live SERP results, keyword metrics, backlink profiles and AI visibility data through the DataForSEO MCP server, with a cost check before each call. This skill connects the agent to DataForSEO through an MCP server that spans nine API modules and more than 79 tools. It covers live Google and YouTube SERPs, keyword volume, difficulty, intent and trends, backlinks, on-page analysis, content and competitor analysis, business listings, domain analytics, AI visibility checks and LLM mention tracking.
DataForSEO Live SEO Data fits situations like: checking live Google results for a keyword before writing a page; pulling keyword volume and difficulty from real search data; reviewing the backlink profile of a domain or a competitor; testing whether AI assistants mention your brand for a given topic.
Run `npx skills add AgriciDaniel/claude-seo --skill seo-dataforseo -a claude-code`. Or copy the skill folder (skills/seo-dataforseo in AgriciDaniel/claude-seo) into .claude/skills/seo-dataforseo in your project. Claude Code loads it when a task matches its description.
Run `npx skills add AgriciDaniel/claude-seo --skill seo-dataforseo -a codex`. Or copy the skill folder (skills/seo-dataforseo in AgriciDaniel/claude-seo) into .agents/skills/seo-dataforseo in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add AgriciDaniel/claude-seo --skill seo-dataforseo -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/seo-dataforseo, .gemini/skills/seo-dataforseo, .github/skills/seo-dataforseo and .opencode/skills/seo-dataforseo in your project.
SKILL.md names no scripts, command-line tools or credentials: DataForSEO Live SEO Data is instructions for the agent only. Our summary lists: DataForSEO MCP server connected; The DataForSEO extension installed with extensions/dataforseo/install.sh; DataForSEO API credits, billed per call. Compatibility (from SKILL.md): Requires DataForSEO MCP server.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
DataForSEO Live SEO Data is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.4k tokens (SKILL.md is roughly 18k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.6k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with DataForSEO Live SEO Data: SEO Dataforseo (AgriciDaniel/codex-seo, 797 stars), SEO Dataforseo (hashgraph-online/awesome-codex-plugins, 1.3k stars), SEO Dataforseo (sickn33/agentic-awesome-skills, 47k stars) and SEO API (seranking/seo-skills, 160 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
AgriciDaniel (a GitHub user) maintains it in AgriciDaniel/claude-seo, which has 18,574 GitHub stars. The repository holds 33 skills in this directory. The repository was last updated on October 4, 2026.
Source: AgriciDaniel/claude-seo on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.