Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| 20070 | — | 0 | 653781 | 590409 90.3% | |
| GitHub | 17200 | — | 0 | 429352 | 392964 91.5% |
| Github | 7268 | — | 0 | 173540 | 164249 94.6% |
| here | 3861 | — | 0 | 18798 | 16706 88.9% |
| github | 3087 | — | 0 | 35044 | 31725 90.5% |
| GitHub repository | 1114 | — | 0 | 5826 | 4722 81.1% |
| Edit this page | 971 | — | 0 | 24202 | 23806 98.4% |
| Code | 913 | — | 0 | 37919 | 37463 98.8% |
| open source | 753 | — | 0 | 12035 | 11783 97.9% |
| View on GitHub | 734 | — | 0 | 7554 | 7333 97.1% |
| github.com | 662 | — | 0 | 3587 | 2709 75.5% |
| Source Code | 544 | — | 0 | 14910 | 13149 88.2% |
| issue | 541 | — | 0 | 1798 | 1439 80% |
| GitHub Repository | 526 | — | 0 | 4486 | 3890 86.7% |
| code | 519 | — | 0 | 8577 | 8510 99.2% |
| on GitHub | 519 | — | 0 | 3050 | 2710 88.9% |
| Download | 460 | — | 0 | 4200 | 3426 81.6% |
| Source code | 438 | — | 0 | 22083 | 21051 95.3% |
| source code | 437 | — | 0 | 5917 | 5822 98.4% |
| Source | 427 | — | 0 | 10578 | 8178 77.3% |
| AcademicPages | 408 | — | 0 | 1685 | 1682 99.8% |
| GitHub repo | 402 | — | 0 | 2418 | 1809 74.8% |
| repository | 400 | — | 0 | 959 | 788 82.2% |
| MIT License. | 393 | — | 0 | 19233 | 19233 100% |
| theme | 374 | — | 0 | 13734 | 13728 100% |
| README | 365 | — | 0 | 1630 | 1557 95.5% |
| PaperMod | 329 | — | 0 | 5829 | 5828 100% |
| Docker | 319 | — | 0 | 663 | 530 79.9% |
| link | 317 | — | 0 | 726 | 649 89.4% |
| this | 312 | — | 0 | 492 | 371 75.4% |
| source | 311 | — | 0 | 8693 | 8544 98.3% |
| Issues | 303 | — | 0 | 11282 | 8528 75.6% |
| GitHub Copilot | 294 | — | 0 | 370 | 308 83.2% |
| al-folio | 294 | — | 0 | 2085 | 168 8.1% |
| Z-Blog on Github | 288 | — | 0 | 2999 | 2999 100% |
| Github repository | 285 | — | 0 | 536 | 401 74.8% |
| issues | 277 | — | 0 | 1474 | 1329 90.2% |
| Fork me on GitHub | 274 | — | 0 | 4431 | 4269 96.3% |
| 快鸭VPN | 271 | — | 0 | 7928 | 7928 100% |
| Changelog | 269 | — | 0 | 6587 | 4931 74.9% |
| contributing | 263 | — | 0 | 366 | 297 81.1% |
| WEKO3 | 262 | — | 0 | 45926 | 45926 100% |
| Minify | 258 | — | 0 | 1160 | 1151 99.2% |
| repo | 256 | — | 0 | 3296 | 3238 98.2% |
| GitHub page | 255 | — | 0 | 869 | 776 89.3% |
| The MIT License (MIT) | 255 | — | 0 | 3476 | 3467 99.7% |
| pull request | 252 | — | 0 | 372 | 250 67.2% |
| HTML5 Desktop Notifications | 251 | — | 0 | 1151 | 1151 100% |
| Dropzone.js | 250 | — | 0 | 1150 | 1150 100% |
| At.js | 250 | — | 0 | 1150 | 1150 100% |
Frequently Asked Questions
What anchor texts are used to link to github.com?
This page shows all anchor texts found in backlinks pointing to github.com, 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 github.com.
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 github.com have?
The anchor text report for github.com 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.