Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| The Use of Knowledge in Society | 28 | — | 0 | 49 | 32 65.3% |
| here | 22 | — | 0 | 65 | 65 100% |
| Milton Friedman | 19 | — | 0 | 162 | 162 100% |
| I, Pencil | 16 | — | 0 | 18 | 14 77.8% |
| Econlib | 16 | — | 0 | 448 | 446 99.6% |
| Tautological fallacy | 15 | — | 0 | 358 | 358 100% |
| Adam Smith | 15 | — | 0 | 21 | 19 90.5% |
| Library of Economics and Liberty | 14 | — | 0 | 1274 | 1272 99.8% |
| EconLog | 14 | — | 0 | 1163 | 1163 100% |
| The Wealth of Nations | 11 | — | 0 | 25 | 22 88% |
| Friedrich Hayek | 10 | — | 0 | 11 | 9 81.8% |
| creative destruction | 10 | — | 0 | 12 | 11 91.7% |
| Russ Roberts | 9 | — | 0 | 11 | 11 100% |
| econlib.org | 8 | — | 0 | 14 | 14 100% |
| comparative advantage | 8 | — | 0 | 10 | 9 90% |
| The Library of Economics and Liberty | 8 | — | 0 | 163 | 161 98.8% |
| Frédéric Bastiat | 8 | — | 0 | 8 | 6 75% |
| unintended consequences | 7 | — | 0 | 9 | 9 100% |
| The Theory of Moral Sentiments | 7 | — | 0 | 15 | 12 80% |
| Joseph Schumpeter | 7 | — | 0 | 10 | 8 80% |
| Bryan Caplan | 7 | — | 0 | 270 | 270 100% |
| 6 | — | 0 | 6 | 3 50% | |
| John Maynard Keynes | 6 | — | 0 | 7 | 6 85.7% |
| wrote | 6 | — | 0 | 7 | 7 100% |
| David Henderson | 6 | — | 0 | 6 | 6 100% |
| F.A. Hayek | 6 | — | 0 | 6 | 6 100% |
| Ludwig von Mises | 6 | — | 0 | 6 | 4 66.7% |
| Public Choice Theory | 6 | — | 0 | 9 | 9 100% |
| The US is a Small Country | 6 | — | 0 | 1145 | 1145 100% |
| www.econlib.org | 6 | — | 0 | 8 | 7 87.5% |
| Hayek | 5 | — | 0 | 5 | 4 80% |
| Concise Encyclopedia of Economics | 5 | — | 0 | 7 | 6 85.7% |
| Ideological Turing Test | 5 | — | 0 | 7 | 7 100% |
| rent-seeking | 5 | — | 0 | 5 | 4 80% |
| Principles of Economics | 5 | — | 0 | 5 | 2 40% |
| Creative Destruction | 5 | — | 0 | 5 | 5 100% |
| Paul Samuelson | 5 | — | 0 | 5 | 5 100% |
| public choice economics | 5 | — | 0 | 5 | 5 100% |
| Ronald Coase | 5 | — | 0 | 6 | 6 100% |
| opportunity cost | 5 | — | 0 | 6 | 5 83.3% |
| Industrial Revolution and the Standard of Living | 5 | — | 0 | 5 | 1 20% |
| public choice theory | 5 | — | 0 | 5 | 4 80% |
| Wealth of Nations | 5 | — | 0 | 11 | 11 100% |
| Great Depression | 4 | — | 0 | 5 | 5 100% |
| The Coal Question | 4 | — | 0 | 4 | 2 50% |
| James Buchanan | 4 | — | 0 | 4 | 3 75% |
| tragedy of the commons | 4 | — | 0 | 5 | 5 100% |
| Keynesian | 4 | — | 0 | 4 | 4 100% |
| Scott Sumner | 4 | — | 0 | 4 | 4 100% |
| Theory of Moral Sentiments | 4 | — | 0 | 5 | 3 60% |
Frequently Asked Questions
What anchor texts are used to link to econlib.org?
This page shows all anchor texts found in backlinks pointing to econlib.org, 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 econlib.org.
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 econlib.org have?
The anchor text report for econlib.org 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.