Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| University of Chicago Booth School of Business | 27 | — | 0 | 49 | 47 95.9% |
| Booth School of Business | 19 | — | 0 | 21 | 21 100% |
| Chicago Booth | 17 | — | 0 | 31 | 30 96.8% |
| 15 | — | 0 | 1191 | 1179 99% | |
| Chicago Booth Review | 14 | — | 0 | 70 | 70 100% |
| Richard Thaler | 12 | — | 0 | 13 | 13 100% |
| Chicago Booth School of Business | 12 | — | 0 | 13 | 12 92.3% |
| The University of Chicago Booth School of Business | 11 | — | 0 | 72 | 71 98.6% |
| Ayelet Fishbach | 9 | — | 0 | 9 | 8 88.9% |
| Luigi Zingales | 9 | — | 0 | 10 | 9 90% |
| Marianne Bertrand | 7 | — | 0 | 7 | 7 100% |
| Eugene Fama | 6 | — | 0 | 15 | 15 100% |
| Sendhil Mullainathan | 6 | — | 0 | 7 | 7 100% |
| study | 6 | — | 0 | 6 | 6 100% |
| John Birge | 5 | — | 0 | 8 | 8 100% |
| Executive Education | 5 | — | 0 | 128 | 127 99.2% |
| here | 5 | — | 0 | 9 | 8 88.9% |
| Raghuram Rajan | 5 | — | 0 | 5 | 4 80% |
| Privacy Notice | 5 | — | 0 | 113 | 113 100% |
| Lubos Pastor | 4 | — | 0 | 6 | 6 100% |
| Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers | 4 | — | 0 | 12 | 11 91.7% |
| Erik Hurst | 4 | — | 0 | 4 | 4 100% |
| Eric Budish | 4 | — | 0 | 4 | 4 100% |
| University of Chicago | 4 | — | 0 | 4 | 4 100% |
| Richard H. Thaler | 4 | — | 0 | 5 | 5 100% |
| Christian Leuz | 4 | — | 0 | 4 | 3 75% |
| Pascal Noel | 4 | — | 0 | 5 | 5 100% |
| Chicago | 4 | — | 0 | 5 | 4 80% |
| MBA Programs | 4 | — | 0 | 180 | 180 100% |
| https://www.chicagobooth.edu/ | 4 | — | 0 | 5 | 4 80% |
| Website | 3 | — | 0 | 3 | 3 100% |
| Chang-Tai Hsieh | 3 | — | 0 | 5 | 5 100% |
| Kevin Murphy | 3 | — | 0 | 3 | 3 100% |
| Eugene F. Fama | 3 | — | 0 | 3 | 3 100% |
| Gary Becker | 3 | — | 0 | 13 | 13 100% |
| Pietro Veronesi | 3 | — | 0 | 3 | 3 100% |
| Apply | 3 | — | 0 | 70 | 70 100% |
| website | 3 | — | 0 | 3 | 3 100% |
| PhD | 3 | — | 0 | 150 | 150 100% |
| Finance | 3 | — | 0 | 131 | 131 100% |
| Gleacher Center | 3 | — | 0 | 62 | 61 98.4% |
| Career Outcomes | 3 | — | 0 | 62 | 62 100% |
| Mindworks | 3 | — | 0 | 4 | 4 100% |
| Booth | 3 | — | 0 | 3 | 3 100% |
| Chicago Booth Magazine | 3 | — | 0 | 55 | 55 100% |
| MBA program | 3 | — | 0 | 4 | 3 75% |
| Guy Rolnik | 3 | — | 0 | 3 | 3 100% |
| Matthew Notowidigdo | 3 | — | 0 | 4 | 4 100% |
| Why Booth | 3 | — | 0 | 91 | 91 100% |
| Rustandy Center for Social Sector Innovation | 3 | — | 0 | 4 | 4 100% |
Frequently Asked Questions
What anchor texts are used to link to chicagobooth.edu?
This page shows all anchor texts found in backlinks pointing to chicagobooth.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 chicagobooth.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 chicagobooth.edu have?
The anchor text report for chicagobooth.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.