Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| Committee to Protect Journalists | 273 | — | 0 | 1950 | 1552 79.6% |
| CPJ | 62 | — | 0 | 271 | 262 96.7% |
| journalists | 34 | — | 0 | 40 | 37 92.5% |
| report | 32 | — | 0 | 36 | 36 100% |
| here | 31 | — | 0 | 45 | 35 77.8% |
| killed | 30 | — | 0 | 65 | 59 90.8% |
| said | 24 | — | 0 | 35 | 35 100% |
| Committee to Protect Journalists (CPJ) | 23 | — | 0 | 34 | 34 100% |
| arrested | 22 | — | 0 | 41 | 40 97.6% |
| 21 | — | 0 | 901 | 900 99.9% | |
| The Committee to Protect Journalists | 18 | — | 0 | 219 | 218 99.5% |
| according | 17 | — | 0 | 17 | 17 100% |
| reported | 16 | — | 0 | 25 | 24 96% |
| Comité para la Protección de los Periodistas | 14 | — | 0 | 18 | 18 100% |
| at least 246 journalists | 14 | — | 0 | 14 | 14 100% |
| according to the Committee to Protect Journalists | 14 | — | 0 | 16 | 16 100% |
| detained | 13 | — | 0 | 24 | 24 100% |
| cpj.org | 12 | — | 0 | 13 | 11 84.6% |
| Luis Carlos Díaz | 11 | — | 0 | 11 | 11 100% |
| Global Impunity Index | 11 | — | 0 | 11 | 11 100% |
| www.cpj.org | 11 | — | 0 | 13 | 13 100% |
| statement | 10 | — | 0 | 16 | 16 100% |
| charged | 10 | — | 0 | 12 | 12 100% |
| documented | 10 | — | 0 | 12 | 12 100% |
| https://cpj.org/ | 8 | — | 0 | 10 | 9 90% |
| said in a statement | 8 | — | 0 | 10 | 10 100% |
| sentenced | 8 | — | 0 | 10 | 10 100% |
| released | 7 | — | 0 | 8 | 8 100% |
| http://www.cpj.org/ | 7 | — | 0 | 8 | 8 100% |
| 2010 Impunity Index | 7 | — | 0 | 8 | 0 0% |
| called on | 7 | — | 0 | 11 | 6 54.5% |
| Adnan Khairallah | 7 | — | 0 | 8 | 0 0% |
| Atwar Bahjat | 7 | — | 0 | 8 | 0 0% |
| Impunity Index | 7 | — | 0 | 10 | 5 50% |
| says | 7 | — | 0 | 7 | 7 100% |
| Khaled Mahmoud al-Falahi | 7 | — | 0 | 8 | 0 0% |
| methodology | 7 | — | 0 | 9 | 9 100% |
| attacked | 7 | — | 0 | 11 | 11 100% |
| Multiple assaults, threats, cyberattacks, censorship, and killings of family members | 6 | — | 0 | 7 | 7 100% |
| Committee to Protect Journalists. | 6 | — | 0 | 7 | 6 85.7% |
| International Press Freedom Award | 6 | — | 0 | 7 | 6 85.7% |
| murdered | 6 | — | 0 | 6 | 6 100% |
| Комитет по защите журналистов | 6 | — | 0 | 14 | 14 100% |
| Issam Abdallah | 6 | — | 0 | 7 | 7 100% |
| http://www.cpj.org | 6 | — | 0 | 7 | 7 100% |
| have been barred from entering Gaza | 6 | — | 0 | 6 | 6 100% |
| Moisés Sánchez | 6 | — | 0 | 6 | 6 100% |
| заявил | 6 | — | 0 | 14 | 14 100% |
| condemned | 6 | — | 0 | 7 | 7 100% |
| called | 6 | — | 0 | 8 | 8 100% |
Frequently Asked Questions
What anchor texts are used to link to cpj.org?
This page shows all anchor texts found in backlinks pointing to cpj.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 cpj.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 cpj.org have?
The anchor text report for cpj.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.