Ahrefs Domain Rank: Domain Rating, URL Rating and Ahrefs Rank explained
Three different numbers get called the Ahrefs domain rank, they measure different things, and only one of them is a position in a list.
Published by AI Knows Us · Updated 12 October 2026
Ahrefs reports three numbers that people call the domain rank, and they are not interchangeable. Domain Rating, DR, is a score from zero to one hundred for the strength of a whole website's backlink profile, calculated from the unique domains linking to it, how strong those linking domains are themselves, and how many sites each of them links out to. URL Rating, UR, is the same idea for a single page rather than a whole domain. Ahrefs Rank, AR, is a league position: Ahrefs orders every website it knows by backlink profile strength and gives you your place in that order, so one is the strongest site in the index and a larger number means further down. DR is the one quoted in link outreach and client reports. None of the three is a Google metric, and none of them includes your traffic, your content or your on page work.
So the useful question is never what is my DR, it is what is my DR compared with the sites I compete against for the same queries. The number only means something next to a peer.
The three numbers side by side
| Metric | Scope | Scale | Used for |
|---|---|---|---|
| Domain Rating, DR | The whole domain | 0 to 100, logarithmic | Comparing site level link strength, and vetting link prospects |
| URL Rating, UR | One page | 0 to 100, logarithmic | Judging whether a specific page has the links to compete |
| Ahrefs Rank, AR | The whole domain | A position, 1 is strongest | Seeing where you sit among all indexed sites |
How Domain Rating is worked out
In plain terms, three inputs.
- How many unique websites link to you. Unique domains, not total links. A thousand links from one site count roughly as one site.
- How strong each of those websites is. A link from a high DR domain passes more than a link from a new blog, and the calculation runs iteratively, so strength flows through the graph.
- How many sites each of those websites links out to. A linking page's influence is divided among the sites it links to, which is why a link from a page with four outbound links counts for more than one from a page with four hundred.
The result is then plotted on a nought to one hundred curve, which is why the scale is so uneven in practice. Moving from five to twenty is a few months of ordinary work. Moving from seventy to eighty takes a different order of effort, because the scale is logarithmic and the top of it holds the largest sites on the web.
What DR deliberately leaves out
- Traffic. A high DR site can have almost no visitors, and a site with strong traffic can have a modest DR.
- Content quality and relevance. DR knows nothing about your topic, so a high DR link from an unrelated site is still a poor link.
- Technical health and on page work. None of it is an input.
- Link attributes in the way you might expect. Treat DR as a measure of link graph strength rather than of trust, and judge trust yourself by looking at the linking site.
- Google's view. Google does not publish a site authority score for public use, and Ahrefs built DR as its own model of the link graph.
How to read the number without misusing it
- Always compare within a set. Pull the DR of the ten sites ranking for your main query. If they sit in the fifties and you are at twelve, links are a real constraint. If they sit at fifteen, your problem is elsewhere and more links will not fix it.
- Watch the direction, not the digit. A rising DR over six months means the link profile is growing. A one point move means nothing.
- Pair it with referring domains. The count of unique linking domains is the input you actually control, which makes it the better number to report internally.
- Use UR for page level questions. If one page will not rank while the rest of the site does, its UR and its internal links are the first place to look.
- Treat AR as context. It is a useful way to show a board that the site moved from the hundreds of thousands into the tens of thousands, and nothing more precise than that.
How to raise Domain Rating
There is only one lever: earn links from unique domains that have their own link strength. Everything else is detail.
- Prioritise new domains over more links. The twentieth link from the same publisher adds very little to DR.
- Publish things people cite: original data, a tool, a definitive explanation of something in your field, a well made template. Citable assets are what makes outreach work.
- Claim the easy legitimate profiles: industry bodies, supplier and partner directories, your own listings, the organisations you belong to.
- Look at the link intersect. The sites that link to three competitors and not to you are the warmest list you will ever build.
- Earn coverage with something newsworthy, which in most industries means a number nobody has published before.
- Leave the shortcuts alone. Bought links, private blog networks and mass directory submissions move the metric and sit directly inside Google's link spam policies. A high DR earned that way is a number with a liability attached.
DR against the other authority scores
- Moz Domain Authority. Same idea, different index and model, also nought to one hundred. The numbers do not convert, so pick one and report it consistently.
- Semrush Authority Score. Blends link data with organic traffic and spam signals, so it answers a slightly broader question.
- Majestic Trust Flow and Citation Flow. Citation Flow counts link volume, Trust Flow weights by proximity to a seed set of trusted sites. The pair is useful for judging whether a profile is large but low quality.
- Google Search Console. No authority score, and the only source for your measured queries, clicks and positions. Keep it as the record of outcomes while the authority scores stay diagnostic.
How to check it
Ahrefs publishes a free Website Authority Checker that returns DR for a domain, and the free Webmaster Tools account gives site owners deeper data for their own verified site. Inside a paid account, Site Explorer shows DR, UR, AR, referring domains and the history chart, which is the view worth screenshotting for a report.
This page covers the Ahrefs metrics specifically. For the concept across tools and how buyers misuse it, the domain authority page covers that ground, and link acquisition sits with the link building and backlink strategy pages.
Questions buyers ask about Ahrefs Domain Rank
What is a good Ahrefs Domain Rating?
Whatever the sites you compete with have. For a young site in a quiet niche, twenty can be plenty. In a competitive commercial category, your peers may sit in the sixties. Pull the DR of the current top ten for your main query and you have your target.
Is Domain Rating a Google ranking factor?
No. It is Ahrefs' own model of link strength, built from Ahrefs' index. It correlates with ranking because links matter, and it is not something Google reads.
What is the difference between DR and UR?
DR scores the whole domain's backlink profile. UR scores one page's. Use UR when you are asking why a particular page will not rank.
What is Ahrefs Rank?
Your position in Ahrefs' ordered list of all the websites in its index, strongest first. It is a context number rather than a working metric.
How long does it take to increase DR?
The chart follows new referring domains, so it moves as links are discovered and recrawled, usually over weeks to months. Report referring domains monthly and DR quarterly, and the trend stays readable.
Does DR go down?
Yes, when links are lost, when linking sites weaken, or when the index is recalculated and everyone shifts on the curve. A small fall with stable referring domains is usually recalibration rather than a loss.
The authority score assistants do not use
DR, DA and Authority Score all describe the link graph. When a buyer asks ChatGPT, Gemini, Perplexity or Claude who to use, or reads Google's AI Overview, none of those numbers is in the answer. What the assistant does instead is read the pages that describe your category, directory profiles, review text, comparison articles and forum threads, and name two or three companies from them. Each assistant names a different two or three, because each reads different sources.
That makes the citation pattern worth looking at directly. Ask the buying question a customer would ask, keep your own domain out of the prompt so the answer comes back clean, and note which sites get quoted. AI Knows Us measures those answers and the sources behind them.