Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| Reason | 336 | — | 0 | 6422 | 6388 99.5% |
| here | 133 | — | 0 | 262 | 255 97.3% |
| Reason.com | 112 | — | 0 | 3013 | 3001 99.6% |
| Reason Magazine | 77 | — | 0 | 1243 | 1238 99.6% |
| 73 | — | 0 | 148 | 121 81.8% | |
| reason.com | 45 | — | 0 | 84 | 70 83.3% |
| wrote | 31 | — | 0 | 39 | 37 94.9% |
| Reason magazine | 28 | — | 0 | 685 | 685 100% |
| Hit and Run | 27 | — | 0 | 1241 | 1241 100% |
| The Volokh Conspiracy | 27 | — | 0 | 4053 | 4053 100% |
| article | 26 | — | 0 | 36 | 36 100% |
| Jacob Sullum | 25 | — | 0 | 49 | 49 100% |
| Volokh Conspiracy | 25 | — | 0 | 1867 | 1866 99.9% |
| Nick Gillespie | 23 | — | 0 | 36 | 34 94.4% |
| writes | 21 | — | 0 | 53 | 51 96.2% |
| reported | 21 | — | 0 | 23 | 22 95.7% |
| noted | 19 | — | 0 | 22 | 20 90.9% |
| Matt Welch | 18 | — | 0 | 32 | 29 90.6% |
| The House the Burgeses Built: One Family’s Neighborhood-Wide Approach to Home Education | 17 | — | 0 | 26 | 26 100% |
| interview | 16 | — | 0 | 17 | 16 94.1% |
| this | 16 | — | 0 | 25 | 21 84% |
| Hit & Run | 16 | — | 0 | 2386 | 2386 100% |
| told | 15 | — | 0 | 16 | 15 93.8% |
| Hit & Run | 15 | — | 0 | 3676 | 3676 100% |
| Robby Soave | 13 | — | 0 | 17 | 16 94.1% |
| reports | 13 | — | 0 | 13 | 12 92.3% |
| said | 13 | — | 0 | 14 | 14 100% |
| Brian Doherty | 13 | — | 0 | 24 | 23 95.8% |
| Reason Online | 13 | — | 0 | 20 | 20 100% |
| Ilya Somin | 12 | — | 0 | 14 | 13 92.9% |
| Jesse Walker | 11 | — | 0 | 15 | 15 100% |
| reason | 11 | — | 0 | 924 | 923 99.9% |
| says | 11 | — | 0 | 14 | 13 92.9% |
| Peter Suderman | 11 | — | 0 | 13 | 12 92.3% |
| Here | 10 | — | 0 | 15 | 14 93.3% |
| points out | 10 | — | 0 | 13 | 13 100% |
| https://reason.com/ | 9 | — | 0 | 11 | 10 90.9% |
| Radley Balko | 9 | — | 0 | 14 | 13 92.9% |
| @SEO_CARTEL IN TELEGRAM - SEO BACKLINKS, BULK LINK POSTING, BOOST SEO RANKING | 9 | — | 0 | 59 | 0 0% |
| review | 8 | — | 0 | 8 | 8 100% |
| here. | 8 | — | 0 | 9 | 9 100% |
| Ronald Bailey | 8 | — | 0 | 10 | 10 100% |
| described | 8 | — | 0 | 8 | 8 100% |
| pointed out | 8 | — | 0 | 10 | 10 100% |
| saying | 7 | — | 0 | 8 | 7 87.5% |
| ruled | 7 | — | 0 | 7 | 7 100% |
| early evidence | 7 | — | 0 | 8 | 8 100% |
| a perfect excuse for inflicting more police state tactics (police check points, searches, surveillance, and heightened security) on a vulnerable public | 7 | — | 0 | 8 | 8 100% |
| post | 7 | — | 0 | 7 | 7 100% |
| Read More | 7 | — | 0 | 68 | 68 100% |
Frequently Asked Questions
What anchor texts are used to link to reason.com?
This page shows all anchor texts found in backlinks pointing to reason.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 reason.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 reason.com have?
The anchor text report for reason.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.