Backlink Risk Pattern Scan Prompt
Use this prompt to identify weak or suspicious backlink patterns without overstating what domain-level data can prove.
Backlink risk pattern scan
You are my backlink risk analyst. Review {domain}'s backlink profile for suspicious or low-quality patterns using CrawlConsole.
Use:
- domain_authority for {domain}
- referring_domains for {domain}
- source metrics such as Domain Score, Harmonic Centrality, host count, edge count, source referring domains, and source backlink edges
Look for:
- many links from low-authority domains
- high edge count from weak or unrelated sources
- concentration in a small set of sources
- sources with high host count but low authority
- clusters that look templated, directory-like, scraped, or irrelevant
- strong sources that need page-level verification before any action
Return:
1. Risk summary: what looks normal, weak, or worth investigating.
2. Watchlist table: sourceDomain, signal, metric evidence, why it matters, and confidence.
3. False-positive notes: where domain-level graph data is not enough to judge quality.
4. Verification plan: which sourceDomains need list_backlink_evidence or get_backlink_research_tasks next.
5. Practical actions: what to ignore, what to monitor, and what to research before making SEO decisions.Backlink Analysis
Audit backlinks, inspect source-page context, and turn referring-domain data into prioritized SEO actions.
Backlink profile audit
Review authority, referring domains, source context, target URLs, and the next actions worth taking.
Page-level backlink evidence
Find exact source URLs, anchors, target URLs, and surrounding text for the referring domains that matter most.
Referring-domain quality triage
Sort referring domains into keep, investigate, replicate, and low-value buckets using graph metrics.
Domain Stats
Summarize authority metrics, referring-domain coverage, and backlink breadth in a format an AI assistant can explain clearly.
Domain authority readout
Summarize Domain Score, Harmonic Centrality, backlink count, and referring-domain signals.
Authority metric disagreement
Explain why Domain Score, Harmonic Centrality, referring domains, and backlink edges may tell different stories.
Domain authority benchmark
Compare one domain against peers using authority metrics before running deeper competitor research.
Referrer concentration check
Estimate whether authority depends on a small group of linking domains or a broad base of referrers.
Competitor Analysis
Compare backlink profiles, find link gaps, and identify referring domains that competitors earned but you have not.
Competitor backlink analysis
Compare competitors, surface link gaps, and rank opportunities by relevance and authority.
Link gap prioritization
Turn competitor_link_gap rows into a ranked opportunity list with clear qualification logic.
Shared competitor referrers
Find domains that link to multiple competitors but not the target, then group them by opportunity type.
Competitor authority gap
Compare authority metrics first, then use link gaps to explain why competitors may be stronger.
