Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| MIT | 228 | — | 0 | 13373 | 13362 99.9% |
| Massachusetts Institute of Technology | 138 | — | 0 | 2095 | 2083 99.4% |
| 62 | — | 0 | 4839 | 4827 99.8% | |
| https://web.mit.edu/wwwdev/www/cgic.html | 59 | — | 0 | 127 | 127 100% |
| Massachusetts Institute of Technology (MIT) | 35 | — | 0 | 38 | 22 57.9% |
| here | 27 | — | 0 | 34 | 29 85.3% |
| Kerberos | 24 | — | 0 | 24 | 23 95.8% |
| Stand Up for MIT ↗ | 23 | — | 0 | 404 | 404 100% |
| web.mit.edu | 21 | — | 0 | 25 | 23 92% |
| MIT Museum | 15 | — | 0 | 17 | 15 88.2% |
| http://web.mit.edu/ | 13 | — | 0 | 19 | 17 89.5% |
| Массачусетський технологічний інститут | 12 | — | 0 | 506 | 506 100% |
| MIT News | 10 | — | 0 | 38 | 38 100% |
| Website | 7 | — | 0 | 10 | 10 100% |
| https://web.mit.edu/kerberos/www/ | 7 | — | 0 | 22 | 22 100% |
| MIT Logo | 6 | — | 0 | 316 | 316 100% |
| Josh Tenenbaum | 6 | — | 0 | 7 | 7 100% |
| Accessibility | 5 | — | 0 | 557 | 557 100% |
| website | 5 | — | 0 | 17 | 17 100% |
| Phillip Isola | 5 | — | 0 | 6 | 6 100% |
| How Complex Systems Fail | 5 | — | 0 | 6 | 5 83.3% |
| MIT News Office | 5 | — | 0 | 6 | 6 100% |
| Instituto Tecnológico de Massachusetts | 4 | — | 0 | 4 | 4 100% |
| Eric von Hippel | 4 | — | 0 | 6 | 6 100% |
| 麻省理工學院 | 4 | — | 0 | 88 | 88 100% |
| Democratizing Innovation | 4 | — | 0 | 5 | 5 100% |
| Paul Krugman | 4 | — | 0 | 8 | 8 100% |
| http://web.mit.edu/warlord/ | 4 | — | 0 | 29 | 8 27.6% |
| https://web.mit.edu/kerberos/www/advisories/ | 4 | — | 0 | 4 | 4 100% |
| https://web.mit.edu/ | 4 | — | 0 | 5 | 2 40% |
| web.mit.edu/newsoffice/ | 4 | — | 0 | 7 | 7 100% |
| Dan Ariely | 4 | — | 0 | 4 | 4 100% |
| kinit | 4 | — | 0 | 6 | 3 50% |
| Rainer Weiss | 4 | — | 0 | 7 | 7 100% |
| this article | 4 | — | 0 | 6 | 6 100% |
| Time Traveler Convention | 3 | — | 0 | 9 | 9 100% |
| 2 Sigma Problem | 3 | — | 0 | 5 | 5 100% |
| Globe Genie | 3 | — | 0 | 3 | 3 100% |
| http://web.mit.edu/oki/ | 3 | — | 0 | 3 | 3 100% |
| paper | 3 | — | 0 | 3 | 2 66.7% |
| Frank Wilczek | 3 | — | 0 | 3 | 3 100% |
| Noam Chomsky | 3 | — | 0 | 4 | 4 100% |
| Antonio Torralba | 3 | — | 0 | 6 | 6 100% |
| source | 3 | — | 0 | 3 | 3 100% |
| Stata Center | 3 | — | 0 | 4 | 4 100% |
| Privacy | 3 | — | 0 | 971 | 971 100% |
| Paola Cappellaro | 3 | — | 0 | 3 | 3 100% |
| Edmondson, 1999 | 3 | — | 0 | 3 | 3 100% |
| Instituto de Tecnología de Massachusetts | 3 | — | 0 | 3 | 3 100% |
| aqui | 3 | — | 0 | 4 | 3 75% |
Frequently Asked Questions
What anchor texts are used to link to web.mit.edu?
This page shows all anchor texts found in backlinks pointing to web.mit.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 web.mit.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 web.mit.edu have?
The anchor text report for web.mit.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.