cyberneticlibrary

Analyze backlink profiles competitively

seo-backlinksskillsetup L36,595
AgriciDaniel/claude-seo
What it does

Analyze and rank backlink profiles by quality, toxicity, and competitive gap

Best for

Competitive backlink gap analysis and PBN detection when multiple data sources (DataForSEO + Moz + Bing + Common Crawl) provide confidence in quality scoring.

Inputs
  • · target domain
  • · optional: second domain (for gap analysis)
  • · optional: list of known backlinks (for verification)
Outputs
  • · backlink profile overview (total backlinks, referring domains, domain rank, follow ratio, trend)
  • · anchor text distribution with over-optimization scoring
  • · referring domain quality analysis (TLD, country, authority distribution)
  • · toxic link detection and disavow recommendations
  • · new/lost backlinks (DataForSEO only)
  • · backlink verification results
Requires
  • · DataForSEO MCP (premium, backlinks_summary + anchors + referring_domains + spam_score)
  • · Moz API (free signup, DA/PA/spam score)
  • · Bing Webmaster (free signup, link details)
  • · Common Crawl (always available, domain-level metrics)
  • · Verification Crawler (always available, existence checks)
Preconditions
  • · at least one data source configured (Common Crawl always available)
  • · domain is publicly indexable
Failure modes
  • · no premium APIs configured — report uses Common Crawl domain metrics only, missing anchor/source details
  • · domain too new — insufficient backlink data
  • · private backlinks (nofollow-only) — contribute to toxic link signals but not follow equity
Trust signals
  • · 5-source detection hierarchy (DataForSEO, Moz, Bing, Common Crawl, Verification Crawler)
  • · 7-section analysis framework (overview, anchor text, domain quality, toxic links, new/lost, verify, competitor gap)
  • · anchor text distribution benchmarks (branded 30-50%, URL 15-25%, generic 10-20%, exact-match 3-10%, partial 5-15%, long-tail 5-15%)
  • · Penguin risk signal (exact-match >15%)
  • · TLD + country + authority tier distribution heuristics
  • · 3-tier quality gates (good/warning/critical) with thresholds
  • · Spam Score interpretation (Moz >11% = high risk)