seo-dataforseo
Skill10 starsChanged 27 days agoMITView on GitHub
Pulls live SERP, keyword, backlink, and AI-visibility data from the DataForSEO MCP when connected — search volume, keyword difficulty, multi-engine and image SERP, referring domains, and LLM-mention tracking; otherwise reads the current SERP and competitor set from built-in web search, clearly labeled as lower-fidelity with the metrics that need the MCP named. Trigger when the user says "dataforseo", "live SERP", "keyword volume", "keyword difficulty", "backlink data", "AI-visibility data", "image SERP", or "real search data".
18 other projects use a version of this.
Adopted by
Most recently taken up by
- alpit-patel/seo-aeo-geo-kittheir own version, first seen Nov 8, 2026
- zhtyyx/codex-seotheir own version, first seen Nov 1, 2026
- joaoguirunas/team-ostheir own version, first seen Oct 21, 2026
- susantedit/claude-skillstheir own version, first seen Oct 20, 2026
- webdevarif/claude-skillstheir own version, first seen Oct 20, 2026
- Solnest-AI/solnest-seo-aeotheir own version, first seen Oct 15, 2026
Used with
Projects with it also use seo-agentic.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
AgriciDanielSkillseo-agentic
Audit and fix agent readiness: the Lighthouse Agentic Browsing fraction, accessibility tree for agents, robots.txt and Content-Signal for AI agents, WAF treatment of agent traffic, llms.txt, Markdown delivery, ai-catalog.json, /.well-known discovery files, and WebMCP tools. Use when the user asks whether AI agents can use or browse the site, or about llms.txt or WebMCP. Exclude AI citability and brand signals (seo-geo) and commerce protocol depth (seo-ecommerce).
Also in 3 projects that use this
Other versions18 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 18
- AgriciDaniel/claude-seo★ 20ksame name
- zhtyyx/codex-seo★ 152same name
- joaoguirunas/team-os★ 6same name
- avalonreset/legends-seo-dungeon★ 4same name
- alpit-patel/seo-aeo-geo-kit★ 2same name
- agrivisionai/claude-skills★ 1same name
- mahiunfiltered/claude-code-skills★ 1same name
- unknownking07/claude-skills★ 1same name
- ahmedaminsa/aljazeera360-mcp-server★ 0same name
- bbeliso/belisodw-★ 0same name
8 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository46 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- blast-promptSkill
- client-outreachSkill
- content-draftSkill
- copywritingSkill
- csv-to-reportSkill
- design-accessibilitySkill
- design-buildSkill
- design-croSkill
- design-dimensionsSkill
- design-motionSkill
- design-researchSkill
- design-system-genSkill
- design-system-persistSkill
- design-tokens-emitSkill
- design-visual-qaSkill
- html-extractSkill
- parallel-buildSkill
- portable-html-portSkill
- qa-gateSkill
- route-codex-reviewSkill
- route-gemini-contextSkill
- route-three-brainSkill
- seo-auditSkill
- seo-backlinksSkill
- seo-clusterSkill
- seo-competitor-pagesSkill
- seo-content-briefSkill
- seo-contentSkill
- seo-driftSkill
- seo-ecommerceSkill
- seo-firecrawlSkill
- seo-geoSkill
- seo-googleSkill
- seo-hreflangSkill
- seo-image-auditSkill
- seo-image-genSkill
- seo-local-unifiedSkill
- seo-pageSkill
- seo-programmaticSkill
- seo-schemaSkill
- seo-sitemapSkill
- seo-strategySkill
- seo-sxoSkill
- seo-technicalSkill
The file
We split this skill into the rules it gives an agent
7 rules. 0 are common, 4 are distinctive, and 3 are very specific to this project.
0
Common
Most of the 17 edited versions we read keep these.
4
Distinctive
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 36
Detect tooling: Check whether the DataForSEO MCP is exposed this session (scripts/workflow/capability_probe.py reports DATAFORSEO_*).
- Very specific: line 38
Premium path (Tier 1, if connected): Call the DataForSEO MCP for the request.
- Distinctive: line 41
Built-in path (Tier 2, always available): Use WebSearch to read the current SERP for the keyword(s): capture ranking URLs, titles, and …
- Distinctive: line 52
Tier 1 — DataForSEO MCP: If connected, use it for volume, difficulty, multi-engine + image SERP, backlinks, and AI-visibility data.
- Distinctive: line 56
Tier 4 — guided: If the user needs hard metrics and the MCP isn't connected, deliver the qualitative read and name the setup (add the …
- Distinctive: line 59
Always state which tier ran and which metrics need DataForSEO.
- Very specific: line 79
When connected, this is the data plumbing other skills draw on (seo-backlinks, seo-cluster, seo-ecommerce, seo-local-unified, …
“Common” is measured: kept by at least 6 in 10 of the 17 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
seo-dataforseo
Family: seo Status: Stable
Purpose
The premium data hub for the SEO family. Tool-aware: with the DataForSEO MCP connected it returns hard metrics (search volume, keyword difficulty, multi-engine and image SERP, referring domains, LLM-mention tracking); without it, it gives a qualitative SERP/keyword read from built-in web search so you still get a current ranking snapshot and competitor URLs — clearly labeled as lower-fidelity, with the exact metrics that require the MCP named.
Triggers
- "dataforseo"
- "live SERP" / "real search data"
- "keyword volume" / "keyword difficulty" / "keyword research"
- "backlink data" / "competitor data"
- "AI visibility check" / "LLM mentions" / "ChatGPT mentions"
- "image SERP" / "google images rankings"
Inputs
- Query type (SERP | keyword | backlinks | AI-visibility)
- Keyword(s) / domain / parameters per call
Steps
- Detect tooling. Check whether the DataForSEO MCP is exposed this session
(
scripts/workflow/capability_probe.pyreportsDATAFORSEO_*). - Premium path (Tier 1, if connected). Call the DataForSEO MCP for the request; normalize into a compact table (volume/difficulty/positions/referring domains as applicable).
- Built-in path (Tier 2, always available). Use WebSearch to read the current SERP for the keyword(s): capture ranking URLs, titles, and apparent intent, and a competitor URL list. Do not fabricate volume, difficulty, or CPC — state that those require Tier 1.
- Report which tier ran and which specific metrics DataForSEO would add.
Capability routing
This skill follows the plugin's capability-tier cascade
(references/CAPABILITY-TIERS.md):
- Tier 1 — DataForSEO MCP. If connected, use it for volume, difficulty, multi-engine + image SERP, backlinks, and AI-visibility data.
- Tier 2 — built-in (default). Otherwise a WebSearch SERP read: ranking URLs, titles, intent, competitor set. Qualitative — no volume/difficulty/CPC.
- Tier 4 — guided. If the user needs hard metrics and the MCP isn't connected, deliver the qualitative read and name the setup (add the DataForSEO extension).
Always state which tier ran and which metrics need DataForSEO.
Outputs
- The requested data as a compact table (hard metrics on Tier 1; a qualitative SERP snapshot + competitor URLs on Tier 2)
- An explicit "needs DataForSEO" list for any metric the free path can't measure
Dependencies
- Optional (Tier 1): DataForSEO MCP (
extensions/dataforseo/, paid) — adds the hard metrics; free path works without it - Built-in (Tier 2): WebSearch
scripts/workflow/capability_probe.py
Notes
"AI visibility" here means measuring/tracking LLM mentions with hard data
(Tier-1); to optimize a page for AI citation, use seo-geo (free, on-page).
When connected, this is the data plumbing other skills draw on (seo-backlinks,
seo-cluster, seo-ecommerce, seo-local-unified, seo-content-brief,
seo-sxo). Each of those also has its own free path; none hard-fails without this.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

