Understanding the LD Metric in SEOquake

If you have installed the SEOquake browser extension and started scanning search results, you have almost certainly noticed a small cluster of abbreviations under every listing: SD, LD, L, LI, I, C, and more. Of all of them, LD tends to generate the most questions. LD stands for Links to the Domain — the total number of backlinks pointing to the entire domain of the page you are looking at, rather than to that single URL. It is a domain-level link volume signal, and once you understand it properly it becomes one of the fastest ways to size up a competitor without leaving the search results page.

The distinction matters because SEOquake also reports SD, which is Semrush Domain rank, and L, which counts links pointing to the specific page. LD sits between them: it tells you how much total link equity the whole website has attracted over its lifetime. A page with modest page-level links but an enormous LD figure is often ranking on the back of overall domain authority, not on the strength of that individual article.

How AAMAX.CO Can Help You Turn Metrics Into Rankings

Reading a toolbar is easy; knowing what to do with the numbers is where most businesses stall. At AAMAX.CO we help companies move from raw metrics like LD to a documented, prioritised action plan. Our team audits your backlink profile against the LD values of the sites already ranking for your target keywords, identifies the authority gap, and then builds an outreach and content roadmap to close it. Because we are a full-service digital marketing company covering web development, digital marketing and SEO services worldwide, we can fix the technical foundations, publish the assets that earn links, and report on the domain-level growth in one coordinated engagement. If you want the LD column to work in your favour rather than against you, we are ready to help.

Where LD Comes From

SEOquake pulls its link data from the Semrush backlink index. When you enable the LD parameter, the extension queries that index for the root domain and returns the count of referring backlinks it has recorded. Two consequences follow from this. First, LD reflects one crawler's view of the web, not an absolute truth — different tools will report different totals for the same domain. Second, LD counts links, not referring domains. A single blogroll or sitewide footer link repeated across ten thousand pages can inflate LD dramatically without adding meaningful authority.

That is why experienced practitioners treat LD as a directional signal. A domain with 400,000 links from 300 referring domains is a very different proposition from a domain with 400,000 links from 40,000 referring domains, even though the LD figure is identical.

How to Enable and Configure LD

By default SEOquake displays a limited parameter set. To surface LD reliably, open the extension, go to the parameters panel, and switch on the domain-level link metrics. You can reorder the parameters so LD appears first in the SERP overlay, which makes visual scanning far faster. Enable the CSV export option as well — when you export a full page of search results, LD is included as a column, and you can sort, filter and chart it in a spreadsheet within minutes.

Practical Ways to Use LD in Keyword Research

The single most valuable use of LD is difficulty triage. Run a search for a keyword you want to rank for, glance down the LD column across the top ten results, and you have an instant read on how link-heavy that battlefield is. If every result shows an LD in the millions, that query is dominated by established authority sites and a brand-new page is unlikely to break through on content quality alone. If you spot two or three results with comparatively low LD figures, there is a genuine opening.

LD is also useful for prospecting. When you are evaluating a site as a guest post or partnership target, a healthy LD combined with a reasonable referring-domain count suggests the site has earned genuine attention. An LD near zero on a site claiming years of history is a red flag worth investigating further.

Common Mistakes When Interpreting LD

The biggest error is treating a high LD as proof of quality. Link volume says nothing about link relevance, anchor diversity, or whether those links were editorially given. Scraper networks, expired domain schemes and comment spam all inflate LD. Always pair the number with a manual look at the actual referring domains.

The second mistake is comparing LD across different content types. A news publisher's homepage will naturally accumulate a far larger LD than a niche B2B service site, but the service site may still outrank it for a commercial query because of topical relevance and intent match. Compare LD only among genuinely comparable competitors.

The third mistake is ignoring the page-level picture entirely. LD tells you about the domain; L tells you about the URL. Strong candidates for a link-building push are pages with high LD but low L, because the domain already has the trust and the individual page simply needs support.

Building a Strategy Around Link Data

Once you understand LD, the natural next step is to build a repeatable process: define your target keyword set, capture LD and referring-domain data for the current top ten, calculate your gap, and then commit to a monthly cadence of content and outreach that closes it. Layer that on top of solid technical health, internal linking and conversion-focused pages, and link metrics stop being trivia and become a forecasting tool. Supporting that work with broader digital marketing activity — PR, social amplification, email and paid distribution — is what turns published pages into pages that actually attract links.

Final Thoughts

LD in SEOquake simply means links to the domain, but the metric earns its place in your workflow because it lets you assess competitive strength in seconds, directly inside the search results. Use it as a first-pass filter, verify with referring-domain data, and never mistake volume for authority. Treated that way, LD becomes a genuinely useful part of a disciplined research routine — and a shortcut to deciding which battles are worth fighting.