How do I install the Dataseo SEO Research skill?

Run npx skillmds@latest add egebese/dataseo-seo-research in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Dataseo SEO Research safe to use?

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Which AI agents work with Dataseo SEO Research?

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Is Dataseo SEO Research free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Dataseo SEO Research?

egebese (@egebese) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Dataseo SEO Research by egebese — Agent Skill

Name: Dataseo SEO Research
Author: egebese

Dataseo SEO Research

Use DataSEO MCP for SEO research workflows including backlink analysis, keyword research, traffic checks, domain comparison, backlink opportunity discovery, AI search query planning, and SEO content briefs. Use this whenever the user asks to investigate a domain, compare competitors, plan SEO content, find backlink gaps, or generate search-intent queries with DataSEO MCP.

egebese 6f89f55 3.3 KB Updated Sep 17, 2026

File contents

DataSEO SEO Research

Use this skill when a user wants SEO research through DataSEO MCP tools. The workflow should produce concise, decision-ready findings, not raw dumps.

Required Setup

Before calling Ahrefs-backed tools, ensure at least one CAPTCHA provider is configured:

CAPSOLVER_API_KEY
ANTICAPTCHA_API_KEY

AI query planning and content briefs improve when OPENROUTER_API_KEY is set. If it is missing, continue with non-AI SEO data and clearly mark AI output as unavailable.

Tool Selection

Choose the narrowest tool that answers the request:

User intent	Tool
Backlink profile for one domain	`get_backlinks_list`
Keyword ideas from seed terms	`keyword_generator`
Traffic estimate for a domain or URL	`get_traffic`
Ranking difficulty / SERP snapshot	`keyword_difficulty`
AI search query ideas by intent	`ai_search_queries`
Quick domain health summary	`domain_overview`
Competitor comparison	`compare_domains`
Link-building source gaps	`backlink_opportunities`
Article or landing-page brief	`seo_content_brief`

Research Workflow

Normalize all domains to bare domains unless the user asks for an exact URL.
For one-domain audits, start with domain_overview, then deepen with get_backlinks_list or keyword_generator only if needed.
For competitor work, use compare_domains first, then backlink_opportunities for link-building next steps.
For content planning, use keyword_difficulty and keyword_generator; add ai_search_queries or seo_content_brief when AI is configured.
Summarize findings by priority: opportunity, evidence, recommended action.

Output Format

Use this structure unless the user asks for something else:

## Summary
- One-sentence SEO readout.

## Findings
- Domain/keyword evidence with metrics.

## Opportunities
- Prioritized actions and why they matter.

## Next Steps
- 3-5 concrete tasks.

Safety and Quality

Do not claim live accuracy beyond the returned tool data.
Do not scrape or bypass sites outside the MCP provider behavior.
Do not expose API keys, CAPTCHA tokens, signed inputs, or raw provider responses.
Prefer comparisons and patterns over long raw tables.
Mention when a domain or keyword appears missing from upstream data.

Examples

Input: "Analyze backlinks for suparank.io"

Action: Call get_backlinks_list(domain="suparank.io"), then summarize domain rating, referring domains, strongest sources, anchors, and link-building angles.

Input: "Compare suparank.io with its competitors"

Action: Call compare_domains(domains=["suparank.io", ...]), then report traffic/backlink differences and practical positioning notes.

Input: "Create a brief for AI SEO audit"

Action: Call seo_content_brief(keyword="AI SEO audit"); if AI is unavailable, fall back to keyword_difficulty and keyword_generator.

---name: dataseo-seo-researchdescription: Use DataSEO MCP for SEO research workflows including backlink analysis, keyword research, traffic checks, domain comparison, backlink opportunity discovery, AI search query planning, and SEO content briefs. Use this whenever the user asks to investigate a domain, compare competitors, plan SEO content, find backlink gaps, or generate search-intent queries with DataSEO MCP.---# DataSEO SEO ResearchUse this skill when a user wants SEO research through DataSEO MCP tools. Theworkflow should produce concise, decision-ready findings, not raw dumps.## Required SetupBefore calling Ahrefs-backed tools, ensure at least one CAPTCHA provider isconfigured:- `CAPSOLVER_API_KEY`- `ANTICAPTCHA_API_KEY`AI query planning and content briefs improve when `OPENROUTER_API_KEY` is set.If it is missing, continue with non-AI SEO data and clearly mark AI output asunavailable.## Tool SelectionChoose the narrowest tool that answers the request:| User intent | Tool || --- | --- || Backlink profile for one domain | `get_backlinks_list` || Keyword ideas from seed terms | `keyword_generator` || Traffic estimate for a domain or URL | `get_traffic` || Ranking difficulty / SERP snapshot | `keyword_difficulty` || AI search query ideas by intent | `ai_search_queries` || Quick domain health summary | `domain_overview` || Competitor comparison | `compare_domains` || Link-building source gaps | `backlink_opportunities` || Article or landing-page brief | `seo_content_brief` |## Research Workflow1. Normalize all domains to bare domains unless the user asks for an exact URL.2. For one-domain audits, start with `domain_overview`, then deepen with `get_backlinks_list` or `keyword_generator` only if needed.3. For competitor work, use `compare_domains` first, then `backlink_opportunities` for link-building next steps.4. For content planning, use `keyword_difficulty` and `keyword_generator`; add `ai_search_queries` or `seo_content_brief` when AI is configured.5. Summarize findings by priority: opportunity, evidence, recommended action.## Output FormatUse this structure unless the user asks for something else:```markdown## Summary- One-sentence SEO readout.## Findings- Domain/keyword evidence with metrics.## Opportunities- Prioritized actions and why they matter.## Next Steps- 3-5 concrete tasks.```## Safety and Quality- Do not claim live accuracy beyond the returned tool data.- Do not scrape or bypass sites outside the MCP provider behavior.- Do not expose API keys, CAPTCHA tokens, signed inputs, or raw provider responses.- Prefer comparisons and patterns over long raw tables.- Mention when a domain or keyword appears missing from upstream data.## ExamplesInput: "Analyze backlinks for suparank.io"Action: Call `get_backlinks_list(domain="suparank.io")`, then summarize domainrating, referring domains, strongest sources, anchors, and link-building angles.Input: "Compare suparank.io with its competitors"Action: Call `compare_domains(domains=["suparank.io", ...])`, then reporttraffic/backlink differences and practical positioning notes.Input: "Create a brief for AI SEO audit"Action: Call `seo_content_brief(keyword="AI SEO audit")`; if AI is unavailable,fall back to `keyword_difficulty` and `keyword_generator`.

Frequently asked questions