🔍 How to Analyze and Reduce a Client's High Spam Score

Camilo Aponte

Camilo Aponte

Last updated on Sep 30, 2026

This article explains how to use Search Atlas to assess a new client's backlink profile when they arrive with a high spam score. You will learn where to run the analysis, how to read the data, and how to confirm that your cleanup efforts are having a measurable effect.

📍 Where to Find It

All backlink analysis tools are grouped in one place. In the top-right header, click the apps-grid icon, then go to More Features → Backlinks (Backlink Research). You will see the following sub-tools:

  • Backlink Research — full backlink profile for any domain
  • Link Gap Analysis — compare your client's links against competitors
  • Compare Backlinks — side-by-side domain comparison
  • Topical Relevance — assess how contextually relevant linking domains are
  • Backlink Velocity — track the rate at which links are being gained or lost

🛠️ Step-by-Step

  1. Run a Backlink Research audit. Go to the top-right header (apps-grid icon) → More Features → Backlinks (Backlink Research) and enter your client's root domain. Click Analyze. This pulls the full backlink profile including spam metrics for each linking domain.
  2. Identify high-risk links. In the results, sort or filter by spam score. Focus on referring domains with a spam score above 30% — these are your highest-priority targets. Look for patterns: private blog networks, unrelated foreign-language directories, or domains with no organic traffic and thin content.
  3. Assess topical relevance of linking domains. Go to the top-right header (apps-grid icon) → More Features → Backlinks (Backlink Research) → Topical Relevance and enter the client's domain. Links from topically unrelated domains compound a spam risk even if their raw spam score is moderate. Flag any that are both off-topic and low-authority.
  4. Check velocity for unnatural link patterns. Go to the top-right header (apps-grid icon) → More Features → Backlinks (Backlink Research) → Backlink Velocity. A sudden spike in link acquisition — especially from low-quality domains — is a common trigger for algorithmic penalties. Note any spikes that coincide with ranking drops.
  5. Build your disavow list. Compile all domains flagged in steps 2–4. Export the data and format it into a Google Search Console disavow file (one domain per line, prefixed with domain:). Submit this file through Google Search Console to signal to Google that these links should not be counted against the site.
  6. Begin a targeted link-building campaign. Use the top-right header (apps-grid icon) → More Features → Backlinks (Backlink Research) → Link Gap Analysis to find high-quality, topically relevant domains that link to competitors but not to your client. These become your outreach targets to replace toxic links with authoritative ones.

✅ How to Confirm It Worked

Re-run Backlink Research on the client's domain after 4–6 weeks. You should see:

  • A measurable decrease in the average spam score across referring domains — compare the new figure to your baseline from step 1.
  • Fewer flagged high-risk domains appearing in the filtered view (spam score above 30%).
  • Backlink Velocity showing a stabilised or positively trending link acquisition rate from higher-quality domains.
  • If rankings were suppressed, expect gradual recovery over 8–12 weeks once Google re-crawls the disavow file and indexes new quality links.

If you need further assistance, open the chat widget in the bottom-right corner of the platform and type human teammate to be connected with a member of our team.