Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| Stacker | 512 | — | 0 | 18597 | 18550 99.7% |
| Stacker | 225 | — | 0 | 851 | 850 99.9% |
| KATELYN LEBOFF | 203 | — | 0 | 772 | 771 99.9% |
| See how many things on this list | 178 | — | 0 | 569 | 569 100% |
| Elena Kadvany | 162 | — | 0 | 416 | 416 100% |
| Katherine Gallagher | 154 | — | 0 | 390 | 390 100% |
| Hannah Lang | 152 | — | 0 | 527 | 527 100% |
| RACHEL CAVANAUGH | 139 | — | 0 | 358 | 358 100% |
| Peter Richman | 137 | — | 0 | 337 | 336 99.7% |
| Meagan Drillinger | 133 | — | 0 | 356 | 356 100% |
| Keri Wiginton | 132 | — | 0 | 394 | 394 100% |
| Rachel Cavanaugh | 129 | — | 0 | 305 | 305 100% |
| Isabel Sepulveda | 123 | — | 0 | 294 | 294 100% |
| Sophia Crisafulli | 116 | — | 0 | 231 | 230 99.6% |
| Jacob Osborn | 111 | — | 0 | 197 | 197 100% |
| Alexander Raeburn | 110 | — | 0 | 198 | 198 100% |
| Laura Ratliff | 108 | — | 0 | 271 | 270 99.6% |
| Andrew Lisa | 102 | — | 0 | 179 | 179 100% |
| Stacker | 92 | — | 0 | 220 | 219 99.5% |
| Kery Wiginton | 87 | — | 0 | 185 | 185 100% |
| Ben Wittstein | 85 | — | 0 | 183 | 183 100% |
| Popular child stars from the year you were born | 79 | — | 0 | 124 | 124 100% |
| ELLEN DEWITT | 72 | — | 0 | 130 | 130 100% |
| Angela Brown | 64 | — | 0 | 135 | 135 100% |
| Madison Troyer | 63 | — | 0 | 88 | 88 100% |
| Emily Sherman | 61 | — | 0 | 124 | 124 100% |
| look at the headlines | 56 | — | 0 | 215 | 210 97.7% |
| Billboard | 56 | — | 0 | 85 | 85 100% |
| Annalise Mantz | 53 | — | 0 | 68 | 68 100% |
| Stacker | 53 | — | 0 | 80 | 79 98.8% |
| Stacker | 46 | — | 0 | 59 | 59 100% |
| Karen Johanson | 40 | — | 0 | 60 | 60 100% |
| Leesa Davis | 33 | — | 0 | 56 | 56 100% |
| Stacker.com | 29 | — | 0 | 39 | 39 100% |
| 100 best 90s movies | 16 | — | 0 | 18 | 18 100% |
| one of the major proponents | 14 | — | 0 | 14 | 14 100% |
| he was a known bisexual man | 14 | — | 0 | 14 | 14 100% |
| 10 | — | 0 | 11 | 10 90.9% | |
| according to Stacker | 9 | — | 0 | 13 | 13 100% |
| Stacker analyzed jobs data | 8 | — | 0 | 9 | 9 100% |
| this list | 8 | — | 0 | 15 | 15 100% |
| listicles | 7 | — | 0 | 7 | 7 100% |
| here | 7 | — | 0 | 9 | 9 100% |
| stacker.com | 7 | — | 0 | 7 | 6 85.7% |
| Google Street View and Canva | 6 | — | 0 | 6 | 6 100% |
| according to Stacker. | 6 | — | 0 | 6 | 6 100% |
| Death Valley | 6 | — | 0 | 6 | 6 100% |
| Wag! | 5 | — | 0 | 5 | 5 100% |
| click here. | 5 | — | 0 | 6 | 6 100% |
| Stacker compiled a list | 5 | — | 0 | 11 | 11 100% |
Frequently Asked Questions
What anchor texts are used to link to stacker.com?
This page shows all anchor texts found in backlinks pointing to stacker.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 stacker.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 stacker.com have?
The anchor text report for stacker.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.