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seo-dataforseo

Live SEO data via DataForSEO MCP server. SERP analysis (Google, Bing, Yahoo, YouTube, Google Images), keyword research (volume, difficulty, intent, trends), backlink profiles, on-page analysis (Lighthouse, content parsing), competitor analysis, content analysis, business listings, AI visibility (Cha…

Install / Use

npx skills add AgriciDaniel/codex-seo --skill seo-dataforseo

Installs into whichever agent you are using.

About this skill
πŸ“„

SKILL.md

Installable skill definition

Quality Score

90/100

Supported Platforms

Universal

Our assessment of seo-dataforseo

seo-dataforseo scores 90/100 on our quality scale, 355th of 943 AI & Machine Learning skills we index (top 38%).

Its SKILL.md is 18 KB long, well organised into 40 sections with 3 code examples: a thorough specification that gives an agent plenty to work with.

It has 747 GitHub stars, a meaningful sign that others use it.

Substance
30/30
Structure
18/20
Description
15/15
Adoption
12/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 22 days ago, so seo-dataforseo is actively maintained.
  • Our last check on 2026-09-14 found the source still online.
  • No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
  • Its trust signals score 88/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit β€” read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.

Automated pattern scan on 2026-10-04. It catches known dangerous patterns, not every risk β€” read a skill before letting an agent act on it.

seo-dataforseo compared with similar skills

All 4 of these similar skills score higher than seo-dataforseo; compare them before choosing.

SkillScoreStarsUpdatedFormat
seo-dataforseo (this skill)by AgriciDaniel9074722d agoSKILL.md
claude-memby thedotmack10095.7ktodayCLAUDE.md
Agent-Reachby Panniantong10090.1k18d agoCLAUDE.md
Understand-Anythingby Egonex-AI10085.2k2d agoCLAUDE.md
headroomby headroomlabs-ai10074.4ktodayCLAUDE.md

Frequently asked questions

How do I install seo-dataforseo?
Run npx skills add AgriciDaniel/codex-seo --skill seo-dataforseo. The install tabs above show the steps for each supported agent.
Which AI agents does seo-dataforseo work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is seo-dataforseo safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It declares no license and scores 88/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is seo-dataforseo still maintained?
The repository was last updated 22 days ago, so seo-dataforseo is actively maintained.

name: seo-dataforseo description: > Live SEO data via DataForSEO MCP server. SERP analysis (Google, Bing, Yahoo, YouTube, Google Images), keyword research (volume, difficulty, intent, trends), backlink profiles, on-page analysis (Lighthouse, content parsing), competitor analysis, content analysis, business listings, AI visibility (ChatGPT scraper, LLM mention tracking), and domain analytics. Requires DataForSEO extension installed. Use when user says "dataforseo", "live SERP", "keyword volume", "backlink data", "competitor data", "AI visibility check", "LLM mentions", "image SERP", "google images", "image rankings", or "real search data". user-invokable: true argument-hint: "[command] [query]" license: MIT compatibility: "Requires DataForSEO MCP server" metadata: author: AgriciDaniel version: "1.9.6" category: seo

DataForSEO: Live SEO Data (Extension)

Shared Data Cache

Step 0 -- Check shared data cache:

Before gathering, check .seo-cache/ for reusable context from related SEO skills. Reference: ../seo/references/shared-data-cache.md for schemas and dependency map.

Check these cache files when present:

  • .seo-cache/site-meta.json for domain, business type, industry, and crawl context

  • .seo-cache/audit-scores.json for prior full-audit priorities

  • .seo-cache/pages/{url-slug}/page-analysis.json for page-level context when a URL is provided

  • If found: parse and use clearly valid fields (note "Using cached [X] from [date]")

  • If missing, corrupt, or irrelevant: continue with fresh evidence

  • If the user says "refresh" or "re-run": ignore cache reads and overwrite on write

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 10 API modules with 79+ MCP tools.

Prerequisites

This skill requires the DataForSEO extension to be installed:

./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)

Cost Guardrails

Before every DataForSEO MCP call, run cost estimation:

python scripts/dataforseo_costs.py check <endpoint> [--count N]
  • If "status": "approved" β†’ proceed with the API call
  • If "status": "needs_approval" β†’ show the cost estimate to the user and ask for confirmation before proceeding
  • If "status": "blocked" β†’ inform the user that the daily budget limit would be exceeded; do NOT proceed

After each API call completes, log the cost:

python scripts/dataforseo_costs.py log <endpoint> <actual_cost>

User commands for cost management:

  • /seo dataforseo costs today β†’ show today's spending breakdown
  • /seo dataforseo costs summary β†’ show 7-day spending history
  • /seo dataforseo costs config --mode threshold --threshold 0.50 β†’ configure approval mode

Load references/cost-tiers.md for the full pricing table, budget presets, and cost reduction tips.

Quick Reference

| Command | What it does | |---------|-------------| | /seo dataforseo serp <keyword> | Google organic SERP results | | /seo dataforseo serp-images <keyword> | Google Images 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.

/seo dataforseo serp-images <keyword>

Fetch live Google Images search results. See which images rank for a keyword, which domains dominate image results, and identify visual content opportunities.

MCP tools: serp_google_images_live_advanced

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:

  • Domain dominance: which sites own the most image positions (top 10 domains by count)
  • Alt text patterns: common title/alt text patterns in top-ranking images
  • Format distribution: WebP vs JPEG vs PNG in top results (infer from image_url extension)
  • Opportunity identification: keywords where user has organic rankings but no image presence

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 o

Truncated for display β€” read the full file on GitHub.

Related Skills

View on GitHub
GitHub Stars747
CategoryAI
Updated22d ago
Forks108

Languages

Python

Trust signals

88/100

From repository metadata: license, adoption, age and documentation. Not a code audit β€” see the Safety scan above for what the skill file itself contains.

1 medium
seo-dataforseo β€” Universal Skill: Install & Safety Check | SkillAgent