Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| University of Vermont | 147 | — | 0 | 1349 | 1341 99.4% |
| 41 | — | 0 | 410 | 410 100% | |
| The University of Vermont | 20 | — | 0 | 29 | 27 93.1% |
| here | 17 | — | 0 | 37 | 36 97.3% |
| UVM | 15 | — | 0 | 19 | 19 100% |
| Accessibility | 11 | — | 0 | 934 | 934 100% |
| Website | 10 | — | 0 | 21 | 17 81% |
| University of Vermont Extension | 10 | — | 0 | 11 | 11 100% |
| www.uvm.edu | 9 | — | 0 | 9 | 6 66.7% |
| Gund Institute for Environment | 8 | — | 0 | 10 | 10 100% |
| website | 8 | — | 0 | 9 | 8 88.9% |
| Privacy/Terms of Use | 7 | — | 0 | 677 | 677 100% |
| Rubenstein School of Environment and Natural Resources | 6 | — | 0 | 9 | 9 100% |
| Center for Community News | 6 | — | 0 | 8 | 8 100% |
| Minority Support Groups | 6 | — | 0 | 33 | 33 100% |
| UVM Extension | 6 | — | 0 | 61 | 61 100% |
| UVM.edu | 6 | — | 0 | 31 | 31 100% |
| Vermont | 6 | — | 0 | 6 | 6 100% |
| LGBT Support Groups | 6 | — | 0 | 33 | 33 100% |
| http://www.uvm.edu/ | 5 | — | 0 | 7 | 5 71.4% |
| Website Icon Visit Website | 5 | — | 0 | 22 | 22 100% |
| Civil and Environmental Engineering | 4 | — | 0 | 13 | 13 100% |
| Josh Bongard | 4 | — | 0 | 55 | 55 100% |
| Learn more | 4 | — | 0 | 4 | 4 100% |
| Proctor Maple Research Center | 4 | — | 0 | 5 | 5 100% |
| uvm.edu | 4 | — | 0 | 4 | 3 75% |
| Contact | 4 | — | 0 | 4 | 3 75% |
| Fleming Museum | 4 | — | 0 | 4 | 3 75% |
| wrote | 4 | — | 0 | 4 | 4 100% |
| Grossman School of Business | 4 | — | 0 | 4 | 4 100% |
| Universidad de Vermont | 4 | — | 0 | 4 | 4 100% |
| Saleem Ali | 3 | — | 0 | 4 | 4 100% |
| Field Naturalist Program | 3 | — | 0 | 3 | 3 100% |
| [1] | 3 | — | 0 | 3 | 1 33.3% |
| Forest Ecosystem Monitoring Cooperative | 3 | — | 0 | 3 | 3 100% |
| link | 3 | — | 0 | 3 | 3 100% |
| Visit Website | 3 | — | 0 | 5 | 5 100% |
| Mariano Rodriguez-Cabal | 3 | — | 0 | 3 | 3 100% |
| http://uvm.edu | 3 | — | 0 | 3 | 3 100% |
| Contact UVM | 3 | — | 0 | 175 | 175 100% |
| Vermont Monitoring Cooperative | 3 | — | 0 | 3 | 3 100% |
| Joe Roman | 3 | — | 0 | 3 | 3 100% |
| Mahalia Clark | 3 | — | 0 | 3 | 3 100% |
| Search Directory | 3 | — | 0 | 347 | 347 100% |
| https://www.uvm.edu/ | 3 | — | 0 | 3 | 3 100% |
| Gillian Galford | 3 | — | 0 | 3 | 3 100% |
| Fleming Museum of Art | 3 | — | 0 | 3 | 3 100% |
| According to the University of Vermont | 3 | — | 0 | 3 | 3 100% |
| Contact Us | 3 | — | 0 | 25 | 25 100% |
| Lake Champlain Sea Grant | 3 | — | 0 | 5 | 5 100% |
Frequently Asked Questions
What anchor texts are used to link to uvm.edu?
This page shows all anchor texts found in backlinks pointing to uvm.edu, 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 uvm.edu.
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 uvm.edu have?
The anchor text report for uvm.edu 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.