Domain Rating (DR) Explained: What It Is, How It Works & Why It Matters

Domain Rating (DR) is an Ahrefs metric that measures the strength of a website's backlink profile. It uses a scale from 0 to 100. In general, a higher DR indicates a stronger backlink profile.

However, DR is a relative metric. There isn't a universal rule saying:

• DR 30 = bad
• DR 50 = good
• DR 70 = excellent

Whether a DR score is strong depends on the websites you're comparing it with.

A DR 45 domain might be strong within a small niche where most competitors have DR 20–30. In a competitive industry where major competitors have DR 70–90, the same DR 45 may be relatively weak.

Ahrefs does not publish its complete proprietary formula, but the general concept is based on the strength and distribution of followed backlinks between domains.

Several important factors influence DR.

1. Referring Domains

The number of unique websites linking to your domain matters. For example:

• Website A — 500 backlinks, 100 referring domains
• Website B — 5,000 backlinks, 20 referring domains

Website B has more backlinks, but Website A has links from more unique websites. Because DR considers referring domains, raw backlink count alone doesn't tell the full story.

2. Quality of Referring Domains

Not every referring domain carries the same weight. A backlink from a strong website can be more significant than many links from weak websites. Ahrefs explains that DR considers the DR of the websites linking to the target domain.

3. How Many Websites the Referring Domain Links To

The amount of influence passed through a referring domain can be distributed among the domains it links to. For example:

• Website A — DR 80, links to 20 domains
• Website B — DR 80, links to 10,000 domains

A link from Website A may affect DR differently than a link from Website B. This is one reason why simply looking at the DR of a referring website isn't enough.

No. Domain Rating is an Ahrefs metric, not a Google ranking factor.

Google does not use Ahrefs' DR score as a ranking factor. However, strong backlink profiles can correlate with SEO performance, which is why DR can still be useful when researching websites and domains.

There is no universal 'good DR.' Instead, compare the domain with direct competitors, websites in the same niche, similar websites, and websites ranking for similar topics.

In this example, a DR of 47 looks strong relative to the competitors. But if competitors have DR scores of 70–80, the same 47 may not be particularly strong.

• Backlinks — The total number of links pointing to your website.
• Referring Domains — The number of unique websites linking to your website.
• DR — A score that summarizes the relative strength of the domain's backlink profile.

For example:

• Domain A — 10,000 backlinks, 40 referring domains, DR 55
• Domain B — 3,000 backlinks, 500 referring domains, DR 52

Domain A has more backlinks. Domain B has more referring domains. This is why looking at only one metric can lead to the wrong conclusion.

DR can be particularly useful when you're evaluating expired domains because it gives you a quick way to compare backlink-profile strength.

Imagine you have 5,000 domains to research. You could manually investigate every domain, or you could first filter the list using available SEO metrics and then focus on the most interesting candidates.

DR should be treated as one piece of the puzzle.

Example: Two Expired Domains

Domain A — DR 48 · 650 referring domains · Strong industry backlinks · Relevant history · Good niche fit

Domain B — DR 67 · 45 referring domains · Thousands of questionable backlinks · Unclear history · Poor niche relevance

When you're researching a large list of domains, checking every domain manually can become time-consuming.

oldurl.domains helps you bring multiple domain signals into one research workflow. You can:

• Add your domain list.
• Paste domains directly or upload a supported file.
• Analyze the available domain information.
• Compare important metrics.
• Filter weaker candidates.
• Shortlist domains that deserve deeper research.

This is particularly useful when you're working with hundreds or thousands of domains. Instead of spending most of your time collecting data, you can spend more time evaluating the domains that actually look promising.

DR doesn't tell you everything about a website. A high DR does not automatically mean:

• The website gets high traffic.
• The website ranks for valuable keywords.
• The domain has a clean history.
• The backlinks are relevant.
• The domain is free of spam.
• The domain is a good brand.
• The domain is valuable for your business.

• Chasing the Highest DR — A higher DR isn't automatically a better domain. Always investigate the underlying backlink profile.
• Looking Only at Backlink Count — 10,000 backlinks don't necessarily beat 1,000 quality backlinks. Look at where the links come from.
• Ignoring Referring Domains — A domain with thousands of backlinks from a small number of websites may deserve more investigation.
• Ignoring Domain History — An expired domain may have impressive metrics but a poor history. Always investigate how the domain was previously used.
• Treating DR Like a Google Score — DR is an Ahrefs metric. It isn't a Google ranking factor. Use it to understand backlink strength — not as a prediction of guaranteed rankings.

Instead of using a single metric, use a combination:

The more of these signals that look positive, the more interesting the domain may become.

• DR
• Referring domains
• Backlink quality
• Backlink relevance
• Traffic, where available
• Domain history
• Anchor text
• Spam signals
• Niche relevance
• Domain availability
• Trademark considerations

Domain Rating is a useful metric for understanding the relative strength of a website's backlink profile. But it should never be the only number you look at.

When researching expired domains, the best approach is to combine DR with referring domains, backlink quality, traffic, domain history, relevance, and other available signals.

With oldurl.domains, you can analyze domain lists more efficiently, compare important signals, and narrow a large list down to the domains worth investigating further.

Don't just chase high DR. Find domains with real value.