Domain rating vs domain authority is one of those comparisons that sounds like it should have a clean answer. Both metrics score websites on a 0-100 scale, both claim to measure “authority,” and both show up in every SEO tool dashboard. But they’re built by different companies using different methodologies, and they regularly disagree by 20+ points on the same domain. If you’re using one of these numbers to make decisions - choosing link targets, evaluating competitors, pricing sponsored posts - you need to know what each one actually measures.
What Domain Rating measures
Domain Rating (DR) is Ahrefs’ proprietary metric. It scores the strength of a website’s backlink profile on a 0-100 logarithmic scale. The calculation focuses on one thing: the quantity and quality of unique referring domains pointing to the site.
DR doesn’t care about your content, your traffic, your topical relevance, or how many pages you have indexed. It looks at how many distinct websites link to you, how strong those linking sites are (measured by their own DR), and whether those sites link out to thousands of other domains or just a few.
That last point matters more than people realise. If a DR 80 site links to you and only 50 other sites, that link passes more DR value than the same site linking to 10,000 domains. Ahrefs explicitly models this “link equity distribution” into the score.
The result is a metric that’s tightly focused on backlink strength and nothing else. It updates frequently - Ahrefs recrawls the web constantly, so DR shifts react quickly to new or lost links.
What Domain Authority measures
Domain Authority (DA) is Moz’s equivalent metric. Also 0-100, also logarithmic, but built on a broader model. DA uses a machine learning algorithm trained on actual Google search results to predict how likely a domain is to rank.
The inputs go beyond raw backlink counts. DA factors in the total number of linking root domains, the total number of links, and Moz’s own spam score assessment. It also incorporates Page Authority signals from across the domain. The goal is a holistic score that correlates with ranking ability, not just link volume.
The downside is transparency. Because DA uses a machine learning model, you can’t easily reverse-engineer why a site scored 45 instead of 52. Moz publishes the broad methodology but the specific weighting is a black box. DA also updates less frequently than DR - Moz’s link index is smaller and recrawls on a slower cycle, so score changes can lag behind reality by weeks.
Same site, different scores
This is where the disconnect becomes tangible. Here’s how five real-world sites score across both metrics:
| Website | Ahrefs DR | Moz DA | Difference |
|---|---|---|---|
| Mid-size B2B SaaS blog | 62 | 41 | +21 |
| Local news site | 38 | 55 | -17 |
| Niche affiliate site | 51 | 34 | +17 |
| Government resource portal | 44 | 72 | -28 |
| E-commerce brand (DTC) | 57 | 48 | +9 |
The B2B SaaS blog has aggressive link building - lots of unique referring domains from guest posts and integrations pages. DR loves that. DA is less impressed because many of those links come from low-traffic sites with minimal ranking power themselves.
The government portal flips the pattern. It doesn’t have a massive number of linking domains, but the ones it has are authoritative (.gov, .edu, major publications). DA’s model recognizes that these links correlate strongly with ranking ability. DR sees fewer unique referring domains and scores accordingly.
The niche affiliate site tells a common story. It bought links from a network of sites that each link to hundreds of other domains. DR counts the unique referring domains but discounts the distributed equity. DA’s spam detection flags some of those links as low-quality, dragging the score down further.
Why domain rating vs domain authority scores diverge
The core reason is methodological. DR is counting inputs - how many sites link to you and how concentrated that link equity is. DA is predicting outputs - how likely you are to rank, using links as one signal among several.
Think of it this way. DR answers: “How strong is this site’s link profile?” DA answers: “How well should this site rank based on our model?”
Those are related questions but not the same question. A site can have a strong link profile but still rank poorly because of thin content, poor technical SEO, or targeting keywords way above its weight class. Conversely, a site can rank well with a modest link profile if it has deep topical authority and serves a niche with less competition.
The index size difference matters too. Ahrefs crawls significantly more pages and discovers more links than Moz. If a site’s backlinks come primarily from smaller or newer sites that Moz hasn’t crawled yet, DR will be higher than DA simply because Ahrefs sees links that Moz doesn’t.
Which metric is more useful
I’ll give you a straight answer: it depends on what you’re doing.
Use DR when evaluating link building opportunities. If you’re prospecting sites for outreach, assessing the value of a potential backlink, or auditing your link profile relative to competitors, DR is more useful. It directly measures what you care about - the backlink profile - and updates faster so you’re working with current data.
Use DA when forecasting competitive difficulty. If you’re trying to gauge whether you can outrank a competitor for a set of keywords, DA’s broader model gives you a better proxy. It incorporates more signals that correlate with actual ranking outcomes, which is what you’re ultimately trying to predict.
Use neither as a single decision point. Both metrics are third-party estimates. Google does not use DR or DA in its algorithm. Google has its own internal measures of site quality and authority that no external tool can fully replicate. Treat these scores as directional indicators, not ground truth.
The biggest mistake I see is people optimizing for a metric instead of optimizing for rankings. A site with DR 70 and no traffic has a strong link profile and nothing else. A site with DA 35 ranking for 500 keywords with buyer intent is a real business. The score is a proxy - don’t lose sight of what it’s proxying for.
How to use DR and DA together
Pick one tool as your primary and use the other as a sanity check. If you’re an Ahrefs user, DR is your default lens and you occasionally cross-reference DA when something looks off. If you’re in Moz’s ecosystem, reverse it.
When prospecting for keyword opportunities, look at the DR or DA of sites currently ranking on page one. If every result has a DR above 70 and you’re sitting at 25, the keyword is probably out of reach regardless of content quality. But if you see a mix - some high-authority sites and some in your range - there’s a realistic path.
When the two metrics disagree significantly on a competitor, dig into why. A site with high DR but low DA might have a lot of links from low-quality sources that Moz’s model discounts. A site with low DR but high DA might have fewer but more authoritative links. Both patterns tell you something useful about where that competitor is strong and where they’re vulnerable.
The metric that actually matters
Neither DR nor DA is a Google ranking factor. They’re models built by tool companies to approximate something Google keeps proprietary. They’re useful approximations - I check them regularly - but they’re not the scoreboard.
The scoreboard is organic traffic, keyword rankings, and conversions. A site that ranks well and drives revenue has real authority, regardless of what number Ahrefs or Moz assigns it. Use DR and DA to inform your strategy, spot opportunities, and benchmark progress. Just don’t confuse the map for the territory.