egebese/dataseo-mcp/dataseo-seo-research
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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.
Install
npx vskill@latest install egebese/dataseo-mcp/dataseo-seo-researchSKILL.md
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_KEYANTICAPTCHA_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_domainsfirst, then
backlink_opportunities for link-building next steps.
- For content planning, use
keyword_difficultyandkeyword_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:
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.
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/dataseo-seo-research/SKILL.md
Popularity
- Repository stars
- 186
- Repository forks
- 26
- 7-day trend score
- 26
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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