Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| Debian | 8 | — | 0 | 71 | 71 100% |
| DDPO | 7 | — | 0 | 837 | 837 100% |
| QA page | 4 | — | 0 | 5 | 5 100% |
| QA | 3 | — | 0 | 1300 | 1300 100% |
| https://qa.debian.org/orphaned.html | 2 | — | 0 | 3 | 3 100% |
| https://qa.debian.org/developer.php?login=mattia | 2 | — | 0 | 9 | 8 88.9% |
| debcheck | 2 | — | 0 | 70 | 70 100% |
| Thomas Goirand | 2 | — | 0 | 30 | 30 100% |
| many failed tests | 2 | — | 0 | 3 | 3 100% |
| madison | 2 | — | 0 | 3 | 3 100% |
| Yves-Alexis Perez | 2 | — | 0 | 4 | 4 100% |
| debian.org | 2 | — | 0 | 2 | 2 100% |
| Debian QA | 2 | — | 0 | 2 | 2 100% |
| Ondřej Surý | 2 | — | 0 | 7 | 7 100% |
| several debian packages | 2 | — | 0 | 2 | 2 100% |
| Debian Haskell Group | 2 | — | 0 | 62 | 62 100% |
| (feed) | 2 | — | 0 | 3 | 3 100% |
| packages | 2 | — | 0 | 2 | 2 100% |
| vcswatch | 2 | — | 0 | 4 | 4 100% |
| Lucas Nussbaum | 2 | — | 0 | 5 | 5 100% |
| Samuel Thibault | 2 | — | 0 | 3 | 3 100% |
| Joenio Costa | 1 | — | 0 | 1 | 1 100% |
| Debian SELinux maintainers | 1 | — | 0 | 2 | 2 100% |
| Качествен контрол | 1 | — | 0 | 1 | 1 100% |
| YunQiang Su | 1 | — | 0 | 2 | 2 100% |
| Eddie Billoir | 1 | — | 0 | 1 | 1 100% |
| V:1, I:12 | 1 | — | 0 | 1 | 1 100% |
| Python Applications Packaging Team | 1 | — | 0 | 1 | 1 100% |
| Martijn van Brummelen | 1 | — | 0 | 1 | 1 100% |
| 1 | — | 0 | 1 | 1 100% | |
| la page du concours de popularité | 1 | — | 0 | 1 | 1 100% |
| mi trabajo en Debian | 1 | — | 0 | 1 | 1 100% |
| Debian R Packages Maintainers | 1 | — | 0 | 36 | 36 100% |
| https://qa.debian.org/[email protected] | 1 | — | 0 | 2 | 2 100% |
| V:8, I:43 | 1 | — | 0 | 1 | 1 100% |
| Debian Hamradio Maintainers | 1 | — | 0 | 2 | 2 100% |
| FusionDirectory Packagers | 1 | — | 0 | 2 | 2 100% |
| Bernhard Schmidt | 1 | — | 0 | 2 | 2 100% |
| V:3, I:15 | 1 | — | 0 | 2 | 2 100% |
| redmine in the testing migration checker | 1 | — | 0 | 1 | 1 100% |
| zziplib in the testing migration checker | 1 | — | 0 | 1 | 1 100% |
| Christopher Hoskin | 1 | — | 0 | 2 | 2 100% |
| https://qa.debian.org/popcon.php | 1 | — | 0 | 3 | 3 100% |
| Pierre Gruet | 1 | — | 0 | 2 | 2 100% |
| Sven Joachim | 1 | — | 0 | 1 | 1 100% |
| Maintainers of GStreamer packages | 1 | — | 0 | 1 | 1 100% |
| V:4, I:31 | 1 | — | 0 | 1 | 1 100% |
| ShuxiongYe | 1 | — | 0 | 1 | 1 100% |
| Rafael Laboissière | 1 | — | 0 | 5 | 5 100% |
| Christian Marillat | 1 | — | 0 | 1 | 1 100% |
Frequently Asked Questions
What anchor texts are used to link to qa.debian.org?
This page shows all anchor texts found in backlinks pointing to qa.debian.org, sorted by the number of referring domains using each anchor. Anchor texts range from branded terms (like the domain name itself) to keyword-rich phrases that describe the linked content. The distribution of anchor texts reveals how other websites perceive and describe qa.debian.org.
What is anchor text?
Anchor text is the visible, clickable text in a hyperlink. Search engines use anchor text as a signal to understand what the linked page is about. For example, if many sites link to a page using the anchor text "best running shoes," search engines infer that the page is relevant to that topic. Anchor text appears in several forms: exact-match (contains target keywords), branded (uses the company or domain name), generic (like "click here"), and naked URLs.
Why is anchor text analysis important for SEO?
Anchor text analysis helps identify potential SEO risks and opportunities. A natural backlink profile has diverse anchor texts including branded terms, generic phrases, and topic-relevant keywords. Over-optimization, where too many backlinks use the same exact-match keyword anchor, can trigger search engine penalties. Conversely, understanding which anchors drive the most authority (measured by referring domain count and DR) helps prioritize link building efforts.
How many unique anchor texts does qa.debian.org have?
The anchor text report for qa.debian.org displays all distinct anchor texts grouped by their hash. Each row shows how many unique referring domains use that anchor, the total number of links, and the dofollow percentage. A high number of unique anchors generally indicates a healthy, natural backlink profile with diverse link sources.