Seo Dataforseo

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

1. Detect tooling. Check whether the DataForSEO MCP is exposed this session

(scripts/workflow/capability_probe.py reports DATAFORSEO_*).

1. 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).

1. 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.

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):

1. Tier 1 — DataForSEO MCP. If connected, use it for volume, difficulty,

multi-engine + image SERP, backlinks, and AI-visibility data.

1. Tier 2 — built-in (default). Otherwise a WebSearch SERP read: ranking URLs,

titles, intent, competitor set. Qualitative — no volume/difficulty/CPC.

1. 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.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: ZachArticulateV
• Source: ZachArticulateV/designer-pro-and-seo
• License: MIT

Install and usage instructions live in the source repository linked above.