Domain Authority Estimator

The Domain Authority Estimator models your likely DA range based on five key inputs: domain age in months, number of referring domains, average DR/DA of those domains, indexed content page count, and technical health score. It returns an estimated DA range with growth tips for the factors most holding your score back.

S. Siddiqui

Edited by

S. SiddiquiFounder & Editor-in-Chief
Sources:WikipediaWolfram AlphaUpdated Jul 2026

1 year

1 = many issues; 10 = fully optimised (Core Web Vitals, schema, crawlability)

Estimated Domain Authority range

4864

Strong

Midpoint estimate: 56/100 • This is a modelled estimate, not a tool API result

Growth recommendations

  • Improve link quality — aim for referring domains averaging DR/DA 40+
Quick answer: Enter your domain age in months, referring domain count, average quality of those domains (DR/DA), number of indexed content pages, and a technical health score from 1-10. The estimator models your likely DA range and shows which factors are most limiting your score, with specific growth tips for each weakness.

What Is a Domain Authority Estimator?

A domain authority estimator is a tool that models the likely DA range of a website based on the key inputs that influence how Moz's algorithm scores a domain. Unlike a live DA lookup that queries Moz's index directly, an estimator uses the underlying factors that drive DA growth to produce a calculated range, making it useful for planning and projection rather than for looking up a current score.

The five factors that most strongly influence DA are domain age, the number of unique referring domains, the quality of those referring domains, the volume of indexed content, and technical health. Moz's DA algorithm, documented in their domain authority learning resources, is primarily driven by link profile quality and quantity, with content and technical factors contributing through their influence on the links the site attracts and the crawlability of those pages. Research from Ahrefs on increasing domain authority supports this multi-factor model. This estimator models all five factors to produce a range that reflects the combined effect of the current profile inputs.

The estimator is particularly useful in two scenarios. First, when planning a new site's SEO roadmap, it allows the team to model what DA is achievable within a given timeframe and budget given the planned link building pace and content output. Second, when auditing an existing site, it can reveal which specific inputs are most limiting the current DA and direct remediation effort toward the factors with the greatest marginal impact.

How to Use the Domain Authority Estimator

  1. Enter the domain age in months since the domain was first registered and indexed, not since the current site was launched if the domain was previously used for another site.
  2. Enter the number of referring domains (unique domains linking to your site). Find this in Ahrefs, Semrush, or Moz Link Explorer.
  3. Enter the average DR or DA of your referring domains. Most link analysis tools show this in their referring domain export alongside each domain's authority score.
  4. Enter the number of indexed content pages. Check this in Google Search Console under Index Coverage, filtering to Indexed status.
  5. Rate your technical health from 1-10. A 10 means full Core Web Vitals compliance, clean crawl, structured data, HTTPS, and no significant crawl errors. A 5 means a mix of issues: some Core Web Vitals failures, some indexation gaps, but no critical technical problems.
  6. Review the estimated DA range and the growth recommendations for any factors scoring below their optimal threshold.

DA Range by Input Profile: What to Expect

The estimated DA range depends on the combined effect of all five inputs. Here are typical estimated ranges for common site profiles:

Site profileAgeRef domainsAvg DREst DA range
Brand new site3 months5201-10
Early-stage SaaS12 months403018-30
Established niche blog36 months1503835-50
Mid-size B2B site48 months3504548-62
Mature authority site72 months1,2005868-80

These ranges assume average content volume and technical health scores. A site with strong technical health and a large content library will sit toward the upper end of its estimated range; a site with thin content or technical issues will sit toward the lower end.

Who Uses the Domain Authority Estimator

New site owners planning a 12-month SEO roadmap

New site owners use the estimator to set realistic DA expectations before investing in link building or content production. By entering their planned end-state inputs at the 12-month mark (target referring domain count, planned content volume, expected technical completion), they can model the likely DA range that the plan would produce. This prevents two common mistakes: setting an unrealistically high DA target that leads to disappointment when the link building programme underperforms, and underinvesting in link quality because the DA impact of a low-quality link profile is not understood upfront.

SEO consultants auditing existing sites

SEO consultants use the estimator during site audits to identify which of the five DA factors represents the largest untapped opportunity. If the estimator shows that a site's referring domain count is strong but the average DR of those domains is low, the recommendation is to shift link building focus from volume to quality. If the technical health input is low relative to the other factors, the recommendation is to prioritise a technical audit and remediation before investing further in link acquisition.

Agency strategists projecting client DA growth

Agency strategists use the estimator to produce quarterly DA growth projections for client reporting. By entering the modelled state of the site at each quarter's end based on the planned link velocity, content calendar, and technical work, they produce a DA range trajectory that serves as the forward-looking performance benchmark. Comparing actual DA readings from Moz against the projected ranges each quarter shows whether the programme is delivering expected authority growth or whether the inputs need adjustment.

Founders evaluating site acquisitions

Founders and acquisition buyers use the estimator to check whether a listed site's reported DA is consistent with its underlying inputs. If a site is listed with a DA of 55 but its referring domain count, link quality, content volume, and domain age all suggest an estimated range of 30-45, the discrepancy is a due diligence flag worth investigating before completing an acquisition.

When to Use the Domain Authority Estimator

Use the estimator when setting a DA target for a new SEO campaign, when auditing a site to identify which factors are most limiting DA growth, when evaluating a site for acquisition, or when producing forward-looking DA projections for a client roadmap. The estimator is most useful as a planning and diagnostic tool; for a current DA reading, use Moz Link Explorer directly.

The estimator is also useful for modelling the impact of specific interventions before committing resources. If you are deciding between investing in 20 new referring domains versus improving technical health, the estimator allows you to model the DA range with each input changed independently, making the marginal impact of each investment visible before the resources are committed.

Benchmarking Your DA Estimate Against Keyword Competition

The estimator's output becomes most actionable when compared directly against the DA of the domains currently ranking for the target keywords. Run the comparison by entering your estimated DA range alongside the DA scores of the top-5 ranking domains for each priority keyword in the DA comparison tool. If the estimated DA sits within 10 points of the lowest-DA domain currently on page 1 for a given keyword, that keyword is within competitive reach within the campaign horizon. If the gap is 20 points or more, the keyword requires either a longer-term authority building investment or a shift to lower-competition sub-topics where the DA threshold is achievable sooner.

This benchmarking exercise is also useful for prioritising the inputs to address first. If the comparison shows that the estimated DA is 15 points below the page-1 threshold and the estimator shows that the referring domain count is the most limiting factor, the investment priority is acquiring more high-quality referring domains. If the technical health input is very low and the other inputs are strong, a technical audit and remediation could move the estimated DA range into the competitive threshold without additional link building. Matching the input gaps to the competitive DA gap guides budget allocation toward the interventions with the highest marginal impact on ranking competitiveness.

The Moz guide to ranking in Google provides additional context on how domain-level authority interacts with on-page and content signals to determine final ranking position. Understanding that DA is a domain-level signal while on-page optimisation works at the page level clarifies which interventions belong to the authority-building programme and which belong to the content and technical programme. Allocating effort across both tracks ensures that a growing DA translates into actual ranking improvements rather than authority building that is blocked by on-page deficiencies.

Quarterly re-estimation as the site's inputs change allows the model to track authority growth trajectory. Enter the updated referring domain count, average DR, content page count, and technical health score each quarter to see whether the estimated DA range is moving in line with the plan. If actual DA (from a live Moz query) is consistently sitting at the upper end of the estimated range, the model is conservative for this particular site's profile and the actual target can be revised upward. If actual DA is consistently below the lower end of the estimated range, one of the inputs may be overstated, most commonly the average DR of referring domains, which should be rechecked in the link analysis tool.

Common Domain Authority Estimation Mistakes to Avoid

Treating the estimated range as a precise prediction rather than a planning reference leads to misaligned expectations. The estimator models the relationship between inputs and DA using general principles; Moz's actual algorithm considers hundreds of signals and is updated periodically. The estimate is a useful calibration tool, not a replacement for a live DA measurement. Always validate the estimate against an actual Moz query for the domain when precision matters.

Entering referring domain counts without accounting for link quality produces an optimistic estimate. One hundred referring domains at an average DR of 15 contributes significantly less to DA than 100 referring domains at an average DR of 50, even though the count inputs look identical. The average DR input in the estimator exists specifically to capture this quality dimension. Inflate this input and the estimate will over-predict the likely DA; under-report it and the estimate will under-predict.

Using the estimator without also considering the competitive DA benchmark for the target keywords produces a target that may be higher or lower than what is actually needed to rank. Use the DA comparison tool alongside the estimator to understand the gap between the estimated current DA and the average DA of the ranking competitors for the specific keywords being targeted.

Factors That Accelerate DA Growth Beyond the Model

Several factors can accelerate DA growth beyond what the base model estimates. A viral content asset that earns a large number of high-quality links in a short period can produce rapid DA growth that outpaces a steady link building programme. A digital PR campaign that earns coverage in national publications with DA 80+ can shift the average DR of the referring domain profile significantly in a single month. Domain acquisitions that pass link equity through 301 redirects can also accelerate growth by importing an existing link profile.

On the other side, factors that can slow DA growth below the model's projection include a high rate of link loss from referring domains going offline or removing links, a significant proportion of the referring domain count coming from a single link network or IP range which may be discounted by Moz's algorithm, or a recent de-indexation event that has reduced the number of crawlable pages in the site. Monitoring referring domain loss rate alongside acquisition rate, and ensuring that content is consistently indexable, prevents these factors from creating an unexpected gap between modelled and actual DA progress.

The relationship between domain age and DA is not strictly linear. While older domains tend to have higher DA all else being equal, a site that was inactive for several years and then relaunched may experience a DA recovery curve as Moz's crawler re-discovers and reindexes the content and links. In this case, the effective age for DA purposes may be closer to the relaunch date than the original registration date, and the estimator should be calibrated accordingly by using the effective active age rather than the raw registration age.

Last reviewed: July 26, 2026
Founder's Real-World Experience
S. Siddiqui

S. Siddiqui

Founder & Editor-in-Chief, YourToolsBase

How I used a DA estimator to set a realistic 12-month DA target for a new site and built a roadmap that the client could measure against every quarter

In February 2026 I was onboarding a new client who had launched a SaaS product 8 months earlier. The site had 42 referring domains at an average DR of 28, 35 indexed content pages, and a technical health score I assessed at around 6 out of 10 based on a crawl report showing several Core Web Vitals issues and missing schema markup.

The client's first question in the kickoff call was: what DA can we realistically reach in 12 months? Without a calibrated model, I would have given a vague answer. Instead, I opened the domain authority estimator, entered the current profile (8 months age, 42 referring domains, average DR 28, 35 content pages, tech score 6), and noted the estimated range: 22 to 38, midpoint 30.

I then modelled the 12-month state the campaign was designed to reach: domain age of 20 months, 150 referring domains at an average DR of 40 through a targeted link building programme, 90 content pages from the planned content calendar, and a tech score of 9 after the planned Core Web Vitals and schema work. The estimator returned a projected range of 42 to 58, midpoint 50.

I set the formal 12-month DA target at 48, which sat in the lower portion of the projected range and was achievable even if the campaign ran slightly below its link velocity target. This gave us a specific, defensible number to build the roadmap around.

At the 6-month mark, the actual DA (measured by Moz) was 39, exactly in line with the modelled midpoint trajectory. The client's confidence in the roadmap was high enough that they extended the retainer for a second year before the first year was complete.

12-month DA target set at 48 based on modelled inputs rather than guesswork6-month actual DA of 39 confirmed model trajectoryRetainer extended for year 2 before year 1 completed
Also used alongside: DA Comparison Tool

Frequently Asked Questions

How accurate is the DA estimator?
The estimator is a planning model based on the key factors that influence DA, not a live query of Moz's database. It produces a range rather than a point estimate to reflect this uncertainty. Use it for planning and diagnostic purposes; for a precise current DA reading, query Moz Link Explorer directly. The range is typically accurate within plus or minus 10 DA points for sites with straightforward profiles.
What domain age should I enter if the domain was previously owned?
Enter the age of the domain registration, not the age of the current site's content. Domains that have been registered and indexed for longer typically have higher DA regardless of when the current owners started the site, because the domain has accumulated crawl history and potentially some legacy links. If the domain was deleted and re-registered, the effective age resets; in this case, use the re-registration date.
What technical health score should I give my site?
Score your site on a 1-10 scale based on: Core Web Vitals (pass all three for 2 points), HTTPS (1 point), no significant crawl errors (1 point), structured data and schema (1 point), mobile usability (1 point), no duplicate content issues (1 point), clean XML sitemap (1 point), and correct robots.txt (1 point). A perfect 10 means all of these are in order; a 5-6 means several are addressed but some remain unresolved.
Why does my estimated DA seem lower than my actual Moz DA?
Several factors can cause the actual DA to be higher than the model estimate: the site may have a large number of very high-authority links from a few sources; the domain may have inherited links from a previous site through a redirect; or the site may have a viral content asset that earned many links quickly. The estimator models typical growth patterns; atypical link profiles may produce DA that diverges from the range.
What is the most important factor for increasing DA?
Referring domain count and quality together are the dominant DA factors, representing the largest share of the scoring model. Getting more unique high-quality domains linking to your site is the most reliable way to grow DA. Content volume and technical health matter primarily through their role in attracting and maintaining links: well-structured, technically sound, comprehensive content earns more links over time than thin or technically problematic content.
Does adding more content pages directly increase DA?
Indexed content pages contribute to DA primarily through the links they attract rather than through their existence alone. A large content library that earns few links contributes less to DA than a smaller content library that earns many links. The content input in the estimator captures the link attraction potential of the content volume. Sites with more indexable pages generally attract more links over time, which is why content volume is correlated with higher DA, but the relationship runs through link acquisition rather than being a direct DA input.
How long does it take to go from DA 20 to DA 50?
The timeline depends on link acquisition pace and quality. As a rough benchmark: moving from DA 20 to DA 35 typically takes 12-18 months of consistent link building at 10-15 new quality referring domains per month. Moving from DA 35 to DA 50 requires another 12-24 months at a similar or higher pace, as the DA scale becomes more compressed at higher scores. The link velocity calculator can give you a more specific timeline based on your current pace and target.
Can I use Domain Rating (DR) scores instead of Domain Authority (DA)?
Yes. The estimator accepts any 0-100 authority score as input. If you use Ahrefs DR scores for your referring domain average and your target, the model works the same way. The tier labels and growth recommendations remain valid. Just be consistent: enter all inputs using the same tool's metric to ensure the model is calibrated correctly.
What counts as an indexed content page?
An indexed content page is any URL that Google has indexed and that contains substantive content: blog posts, articles, product pages, landing pages, case studies, and guides. Exclude thin pages such as privacy policies, thank-you pages, and tag archives with no unique content, paginated archives, and URLs that return a 301 redirect. Check your indexed page count in Google Search Console under Pages, filtered to the Indexed status.
Does the estimator account for link loss?
The estimator uses the current referring domain count as a static input and does not model link loss rate. If your referring domain count has been stable for 12 months, the estimate is accurate. If you have been actively losing referring domains, your effective referring domain contribution to DA is lower than the current count suggests. In this case, enter a slightly lower referring domain count to account for the quality reduction from link loss.

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About the Author

S. Siddiqui

S. Siddiqui

Founder & Editor-in-Chief

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S. Siddiqui is the founder and editor-in-chief of YourToolsBase, overseeing all content, tool accuracy, and editorial standards.

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Authoritative Sources

Formulas and data in this tool are based on guidelines from the above sources.