Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| Wikidata | 1045 | — | 0 | 104504 | 103598 99.1% |
| 379 | — | 0 | 33763 | 32143 95.2% | |
| wikidata.org | 215 | — | 0 | 371 | 348 93.8% |
| d: | 138 | — | 0 | 811 | 811 100% |
| verify | 131 | — | 0 | 213 | 213 100% |
| SHA-1 | 118 | — | 0 | 754 | 754 100% |
| Edit this at Wikidata | 110 | — | 0 | 19059 | 18969 99.5% |
| user | 95 | — | 0 | 123 | 123 100% |
| administrator | 93 | — | 0 | 123 | 123 100% |
| wikidata | 91 | — | 0 | 593 | 521 87.9% |
| URL | 85 | — | 0 | 614 | 614 100% |
| www.wikidata.org | 77 | — | 0 | 253 | 243 96% |
| Wikidata item | 71 | — | 0 | 4341 | 4339 100% |
| checksum | 67 | — | 0 | 462 | 462 100% |
| Edit links | 67 | — | 0 | 69122 | 69122 100% |
| Add links | 62 | — | 0 | 106441 | 106441 100% |
| Edit this on Wikidata | 60 | — | 0 | 4827 | 4822 99.9% |
| media type | 58 | — | 0 | 617 | 617 100% |
| depicts | 56 | — | 0 | 921 | 921 100% |
| copyright status | 56 | — | 0 | 772 | 772 100% |
| Verify | 54 | — | 0 | 58 | 58 100% |
| data size | 53 | — | 0 | 444 | 444 100% |
| the end of day | 50 | — | 0 | 59 | 59 100% |
| copyrighted | 49 | — | 0 | 630 | 630 100% |
| d | 48 | — | 0 | 20905 | 20740 99.2% |
| source of file | 48 | — | 0 | 497 | 497 100% |
| original creation by uploader | 47 | — | 0 | 457 | 457 100% |
| inception | 46 | — | 0 | 736 | 736 100% |
| Wikimedia username | 43 | — | 0 | 404 | 404 100% |
| copyright license | 42 | — | 0 | 648 | 648 100% |
| determination method or standard | 42 | — | 0 | 432 | 432 100% |
| [d] | 42 | — | 0 | 37488 | 37486 100% |
| width | 41 | — | 0 | 425 | 425 100% |
| Logs | 40 | — | 0 | 40 | 40 100% |
| دانلود اهنگ جدید | 40 | — | 0 | 110 | 110 100% |
| Contribs | 40 | — | 0 | 40 | 40 100% |
| author name string | 38 | — | 0 | 433 | 433 100% |
| Lea Lacroix (WMDE) | 38 | — | 0 | 45 | 45 100% |
| height | 37 | — | 0 | 418 | 418 100% |
| WikiData | 37 | — | 0 | 2577 | 2527 98.1% |
| Wikidata:Glossary | 37 | — | 0 | 41 | 41 100% |
| Data | 36 | — | 0 | 404 | 400 99% |
| creator | 36 | — | 0 | 432 | 432 100% |
| edit on Wikidata | 35 | — | 0 | 282 | 280 99.3% |
| Creative Commons Attribution-ShareAlike 4.0 International | 35 | — | 0 | 332 | 332 100% |
| a page | 34 | — | 0 | 46 | 46 100% |
| d:User talk:-revi | 33 | — | 0 | 33 | 33 100% |
| number of pages | 32 | — | 0 | 265 | 265 100% |
| Template:More citations needed | 31 | — | 0 | 33 | 33 100% |
| Викиданные | 31 | — | 0 | 573 | 573 100% |
Frequently Asked Questions
What anchor texts are used to link to wikidata.org?
This page shows all anchor texts found in backlinks pointing to wikidata.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 wikidata.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 wikidata.org have?
The anchor text report for wikidata.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.