Referring Domain Analyzer
Break down your referring-domain profile by metric and TLD.
Backlink URLs
One full URL per line — `www` is stripped; hosts with compound suffixes like `co.uk` skip false subdomain chips.
TLD breakdown
Top domains
Common subdomain patterns
Left-most label only; compound TLDs like `.co.uk` need 4+ hostname segments.
Start here · What this quick profile shows
It summarizes a raw backlink export before you open a heavy enterprise tool.
Each line should be a full referring URL. Hosts normalize (www removed) and tally duplicate URLs per domain so Top domains reflects concentration risk.
TLDs bucket into labels such as .edu (education), .gov (government), .com, ccTLDs, and tech TLDs like .io. Avg links/domain equals total URLs divided by unique hosts. Common subdomain patterns uses the left-most label for blog.example.com-style hosts, and skips false positives on registrable compound domains such as example.co.uk (a curated suffix list, not the full PSL).
When to use this tool
- Pitch deck snapshots
Show investors how diversified referring TLDs are.
- Disavow triage prep
Spot a single domain sending hundreds of URLs before you deep-dive spam.
- International footprint
Chart ccTLD share after a European PR push.
- Vendor due diligence
Compare two monthly exports numerically before paying retainers.
Examples
Walk through these with the form above — they are practice scenarios, not live data.
edu / gov presence
Try this
Paste URLs from university and government hosts alongside commercial blogs.
What to look for
TLD bars highlight trust-heavy categories as separate buckets.
Subdomain chips
Try this
Include multiple news.example.com and blog.example.com URLs.
What to look for
Common subdomain patterns surfaces news and blog frequency chips.
Short tutorial
Follow in order the first time you use the tool; later you can skip to the step you need.
- Step 1 — Grab your export
Use full referring page URLs, one per line.
- Step 2 — Paste into the textarea
Blank lines are ignored.
- Step 3 — Read headline metrics
Backlinks count, unique domains, and average links per domain frame concentration.
- Step 4 — Review TLD and subdomain sections
Decide whether diversity matches your strategy.
- Step 5 — Take action elsewhere
Feed risky anchors into Anchor Text Analyzer and spam into Disavow File Generator when needed.
More detail
New here? Skim Start here first, then run one Examples scenario in the form above.
Referring Domain Analyzer does one job: break down your referring-domain profile by metric and TLD. It lives under Backlinks & Anchors on SEOToolkits, where the beginner idea is simple: Backlink SEO studies links from other sites because those links can pass trust, context, and referral traffic.
FAQ
- Follow vs nofollow?
- Not encoded—filter attributes upstream before pasting.
- Why top 30 domains only?
- Keeps scrolling manageable; sort your CSV externally for deeper cuts.
- Internationalized domains?
- Punycode hosts pass through as parsed by
URL. - Why doesn't `example.co.uk` show as a `example.*` subdomain chip?
- Compound public suffixes like
co.ukare treated as one registrable zone—only hosts with an extra left label (e.g.news.bbc.co.uk) count as subdomains here. - Does it estimate authority scores?
- No numeric authority—pair with Backlink Growth Tracker for trend context.
Related tools
Same workflow cluster on SEOToolkits — open another module without leaving context.
Anchor Text Analyzer
Classify anchors by type: branded, exact, partial, naked, generic.
Toxic Backlink Detector
Flag spam, PBN, and link-scheme footprints in your link profile.
Competitor Backlink Gap
Find sites linking to your competitors but not to you.
Disavow File Generator
Generate a Google-ready disavow file from a flagged-domains list.