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.

Audit backlinks, inspect source-page context, and turn referring-domain data into prioritized SEO actions.

Domain Stats

Summarize authority metrics, referring-domain coverage, and backlink breadth in a format an AI assistant can explain clearly.

Competitor Analysis

Compare backlink profiles, find link gaps, and identify referring domains that competitors earned but you have not.