Referring Domains vs Backlinks: Which Number Should You Actually Read?
Referring domains vs backlinks is a question of what you count: backlinks are individual links pointing to your site, while referring domains are the distinct websites those links come from. One site can give you one link or ten thousand, so the referring domains number usually says more about how many independent sources vouch for you, and the gap between the two numbers says the most of all. This guide explains both, shows how to read them together, and how to check them for free.

The two definitions
- Backlink: a single link on another website that points to a page on yours. If a blog links to you from three different posts, that is three backlinks.
- Referring domain: a distinct website that links to you at least once. That same blog counts as one referring domain, no matter how many links it gives you.
So the backlinks number is always equal to or larger than the referring domains number. Both are counts; neither tells you anything about quality on its own.
One detail that confuses people: tools disagree about what "one domain" is. Google's Links report help page says it groups external links by root domain, stripping the protocol, subdomain and subdirectory, so m.example.com and example.com/blog/ both count as example.com. Some SEO tools count subdomains or IP addresses differently, which is one reason the numbers never match across tools.
Why referring domains usually matter more
Think of each referring domain as a separate person recommending you. Ten recommendations from one person are still one opinion. Ten recommendations from ten people are ten opinions.
That intuition matches how Google describes its approach in general terms. Its ranking systems guide says Google has "various systems that understand how pages link to each other," with PageRank among them. Google doesn't publish how it weighs repeated links from one site, so don't treat any ratio as a ranking formula. But as a reading tool for humans, referring domains are the better first number: they are much harder to inflate from a single source.
Read the ratio, not just the totals
The most useful thing you can do with the two numbers is compare them.
| Pattern | What it usually means | What to check |
|---|---|---|
| Backlinks close to referring domains | Most sites link once or a few times, typically from articles | Nothing unusual; look at relevance |
| Backlinks a few times referring domains | Some sites link from several posts, which is normal for partners, local press or friendly blogs | Which sites link many times, and why |
| Backlinks many times referring domains | A handful of sites link from every page: footers, sidebars, blogrolls, widgets | Whether those sitewide links are earned, paid or spam |
| Referring domains growing fast with no new content or coverage | Possible spam attack, scraper sites or a bought link package | The new domains themselves |
Illustrative example: 1,000 links from 3 domains
Numbers invented for illustration. Two sites in the same niche show up in a backlink tool:
| Site A | Site B | |
|---|---|---|
| Backlinks | 1,000 | 140 |
| Referring domains | 3 | 95 |
| Where the links are | Footer links on three sites with hundreds of pages each | Mostly in articles, a few in resource lists |
Site A looks bigger by backlinks, but it has three sources, and its links sit in templates. Site B has fewer links but almost a hundred separate sites that chose to mention it. Site B has the healthier profile, and if you were deciding where to publish a guest post, Site B is the safer bet.
Sitewide links: the usual cause of a big gap
A sitewide link is a link placed in a template (footer, sidebar, header, blogroll) so it appears on every page of a site. One sitewide link on a site with 5,000 pages can show up as thousands of backlinks from one referring domain.
Sitewide links aren't automatically bad. Common harmless cases:
- "Theme by" or "Powered by" credits.
- Your own other sites, linked in a footer.
- A partner or sister company listed in a sidebar.
- A blogroll from a friend who simply likes your blog.
They become a problem when they are part of a scheme. Google's spam policies list "widely distributed links in the footers or templates of various sites" and keyword-rich widget links among examples of link spam, alongside excessive link exchanges and paid links that pass ranking credit. If you see many sitewide links with exact-match anchor text from unrelated sites, that is the pattern to worry about.
How to check both numbers for free in Search Console
Google Search Console's Links report is the only free view of links that comes from Google itself. To use it:
- Open Search Console, choose your property, and click Links in the left menu.
- Under External links, open Top linking sites. Each row is a referring domain, and the number next to it is how many links Google found from that site.
- Sort by links. Sites at the top with very high counts are usually sitewide links; click through to see which pages they link to.
- Open Top linking text to see the anchor text. A natural profile is mostly your brand name, your URL and generic words.
- Use Export external links if you want to work with the list in a spreadsheet.
Know the limits. The help page says the report "isn't a comprehensive list of every link," that tables show up to 1,000 rows, that it can include links Google saw in the past that no longer exist, and that it doesn't show whether a link is nofollow. Use it to spot patterns, not as an exact count.
Why the numbers never match between tools
- Different crawls. Each tool crawls its own slice of the web on its own schedule.
- Different definitions. Some count subdomains or IPs separately, some include nofollow links, some drop lost links quickly and some keep them for months.
- Different filtering. Tools filter spam differently; one tool's "10,000 backlinks" may be another's 800 after junk is removed.
Pick one tool for tracking your own site over time and compare like with like. For free and cheap options, see our roundup of cheap Ahrefs alternatives.
Types of backlinks worth knowing
| Type | Where it appears | Typical attribute |
|---|---|---|
| Editorial | In the text of an article, chosen by the author | Often none (a normal link) |
| Resource list | Curated "useful links" pages | Often none |
| Sponsored or paid | Ads, sponsored posts, partner articles | rel="sponsored" |
| User-generated | Comments, forums, profiles | rel="ugc" or nofollow |
| Sitewide | Footers, sidebars, blogrolls | Varies |
| Image | A linked image or logo | Varies; alt text acts as anchor |
Google's guide to qualifying outbound links explains the attributes, and our post on nofollow vs sponsored vs UGC covers them in plain terms. The point for this article: a count of referring domains mixes all of these types together, so always look at which kind of links make up the number.
Using the numbers when you choose where to publish
If you are evaluating a site for a guest post, a sponsored article or a partnership, the two numbers give you a quick first filter:
- Check the ratio. A large gap between backlinks and referring domains means you should look at where those links come from before anything else.
- Open the top referring domains. Are they real sites in a related niche, or a cluster of thin sites that look alike? Our guide on how to spot PBN sites lists the warning signs.
- Compare with traffic. Many referring domains and no visible audience is a red flag.
- Look at the trend. Steady growth is normal; a spike of hundreds of new domains in a month deserves a closer look.
For your own site, don't chase either number. Our guide on how many backlinks you need explains why the answer depends on your niche and competitors, not on a target count. And if you find spammy links you didn't build, Google's disavow help page says "most sites will not need to use this tool"; it is meant for large numbers of artificial links that have caused, or are likely to cause, a manual action.
Quick checklist
- Read referring domains first, backlinks second.
- Divide backlinks by referring domains; a large ratio means "go look at the top sources."
- Check the top linking sites and anchor text in Search Console.
- Separate sitewide, editorial, sponsored and user-generated links.
- Compare numbers only within the same tool.
- Never buy links to grow either count.
What to do next
Link counts are one lens. To see a site the way a careful editor or partner would, combine them with signals that are harder to fake, such as real traffic, age and visibility in open datasets. Check any site's Quality Score on Satelo: it is built mostly from open data, and in 30 seconds it shows the evidence behind each number, so you can see why a site scores the way it does rather than trusting one opaque figure.
FAQ
What is the difference between referring domains and backlinks?
A backlink is one link from another site to yours. A referring domain is a distinct website that links to you at least once. Ten links from one blog are ten backlinks but one referring domain.
Which is more important, backlinks or referring domains?
For reading a link profile, referring domains are usually more informative, because they show how many independent sites link to you. The ratio between the two numbers is often the most revealing.
Why do I have many backlinks but few referring domains?
Usually because a few sites link to you from a template, such as a footer, sidebar or blogroll, so the link appears on every page. Check those sites in Search Console's Top linking sites report to see whether the links are harmless or part of a scheme.
How do I check my referring domains for free?
In Google Search Console, open Links, then Top linking sites under External links. Each row is a linking site grouped by root domain. It is a sample, not a complete list.
Do multiple backlinks from the same domain help?
Google doesn't publish how it weighs repeated links from one site. Extra links from a site that already links to you add less information than a link from a new, relevant site, and template links at scale can look like link spam.
Why do SEO tools show different numbers of referring domains?
Each tool uses its own crawl, its own definition of a domain and its own spam filtering. Compare numbers only within one tool and use Search Console as Google's own sample.
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