dataseo-seo-research
GitHub基于DataSEO MCP进行SEO研究，涵盖外链分析、关键词调研、流量估算及竞品对比等。通过标准化工作流生成决策就绪的SEO简报与行动建议。
Trigger Scenarios
Install
npx skills add egebese/dataseo-mcp --skill dataseo-seo-research -g -y
SKILL.md
Frontmatter
{
"name": "dataseo-seo-research",
"description": "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 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 withget_backlinks_listorkeyword_generatoronly if needed. - For competitor work, use
compare_domainsfirst, thenbacklink_opportunitiesfor link-building next steps. - For content planning, use
keyword_difficultyandkeyword_generator; addai_search_queriesorseo_content_briefwhen 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.
Version History
- a7b9b80 Current 2026-07-25 07:09
