Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| 379 | — | 0 | 14878 | 14256 95.8% | |
| WordPress | 288 | — | 0 | 9262 | 8190 88.4% |
| WordPress.org | 212 | — | 0 | 2078 | 1965 94.6% |
| Syed Balkhi | 200 | — | 0 | 1325 | 1318 99.5% |
| Automattic | 200 | — | 0 | 1524 | 1519 99.7% |
| Freemius | 196 | — | 0 | 3292 | 3292 100% |
| shawfactor | 189 | — | 0 | 893 | 891 99.8% |
| Saad Iqbal | 185 | — | 0 | 829 | 828 99.9% |
| bPlugins | 183 | — | 0 | 816 | 814 99.8% |
| WPExperts.io | 181 | — | 0 | 771 | 770 99.9% |
| Tom Anbinder | 180 | — | 0 | 595 | 595 100% |
| Pablo Pacheco | 180 | — | 0 | 608 | 607 99.8% |
| Anonymous User | 179 | — | 0 | 563 | 563 100% |
| Abu Hayat | 178 | — | 0 | 692 | 692 100% |
| WPFactory | 177 | — | 0 | 574 | 573 99.8% |
| Scott Reilly | 176 | — | 0 | 579 | 576 99.5% |
| Jimmy Lee | 175 | — | 0 | 519 | 519 100% |
| WPDeveloper | 172 | — | 0 | 475 | 474 99.8% |
| Omar AlDabbas | 170 | — | 0 | 495 | 495 100% |
| Noor Alam | 170 | — | 0 | 424 | 423 99.8% |
| Alexander | 170 | — | 0 | 496 | 496 100% |
| Themeisle | 169 | — | 0 | 451 | 447 99.1% |
| M Asif Rahman | 168 | — | 0 | 425 | 425 100% |
| WPClever | 168 | — | 0 | 522 | 521 99.8% |
| Rupok | 167 | — | 0 | 419 | 419 100% |
| WooCommerce | 166 | — | 0 | 450 | 448 99.6% |
| miniOrange | 165 | — | 0 | 429 | 427 99.5% |
| danielepais | 164 | — | 0 | 441 | 441 100% |
| A WP Life | 163 | — | 0 | 433 | 432 99.8% |
| FARAZFRANK | 163 | — | 0 | 446 | 445 99.8% |
| WebFactory | 162 | — | 0 | 424 | 421 99.3% |
| Katsushi Kawamori | 161 | — | 0 | 411 | 409 99.5% |
| Martin Sauter | 159 | — | 0 | 421 | 421 100% |
| zish | 158 | — | 0 | 407 | 407 100% |
| fkfaisalkhan007 | 158 | — | 0 | 407 | 407 100% |
| Sharik Khan | 158 | — | 0 | 407 | 407 100% |
| mohammadhanif | 158 | — | 0 | 407 | 407 100% |
| Pathhan | 158 | — | 0 | 407 | 407 100% |
| skylabb | 156 | — | 0 | 325 | 325 100% |
| John James Jacoby | 156 | — | 0 | 361 | 358 99.2% |
| Michael | 155 | — | 0 | 380 | 379 99.7% |
| Alex | 155 | — | 0 | 375 | 370 98.7% |
| Sergey Biryukov | 155 | — | 0 | 340 | 323 95% |
| Ruben Garcia | 154 | — | 0 | 406 | 406 100% |
| Jose Mortellaro | 152 | — | 0 | 412 | 412 100% |
| Tareq Hasan | 152 | — | 0 | 333 | 333 100% |
| Pippin Williamson | 151 | — | 0 | 337 | 332 98.5% |
| YITHEMES | 151 | — | 0 | 357 | 356 99.7% |
| nick6352683 | 151 | — | 0 | 385 | 385 100% |
| Daniel Bachhuber | 150 | — | 0 | 349 | 346 99.1% |
Frequently Asked Questions
What anchor texts are used to link to profiles.wordpress.org?
This page shows all anchor texts found in backlinks pointing to profiles.wordpress.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 profiles.wordpress.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 profiles.wordpress.org have?
The anchor text report for profiles.wordpress.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.