Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| AELC | 16 | — | 0 | 470 | 470 100% |
| 9 | — | 0 | 142 | 142 100% | |
| Mercè Rodoreda | 6 | — | 0 | 25 | 25 100% |
| Marc Granell | 4 | — | 0 | 308 | 308 100% |
| Associació d’Escriptors en Llengua Catalana | 4 | — | 0 | 5 | 5 100% |
| Montserrat Roig | 4 | — | 0 | 24 | 24 100% |
| Salvador Espriu | 4 | — | 0 | 24 | 24 100% |
| Jordi Sarsanedas | 4 | — | 0 | 4 | 4 100% |
| Olga Xirinacs | 3 | — | 0 | 3 | 3 100% |
| Joan Fuster | 3 | — | 0 | 3 | 3 100% |
| Ramon Guillem | 3 | — | 0 | 142 | 142 100% |
| Lluís Solà | 3 | — | 0 | 3 | 3 100% |
| Montserrat Abelló | 3 | — | 0 | 3 | 2 66.7% |
| Joaquim Carbó | 3 | — | 0 | 141 | 141 100% |
| Josep Maria Benet i Jornet | 3 | — | 0 | 23 | 23 100% |
| Associació d'Escriptors en Llengua Catalana | 3 | — | 0 | 834 | 834 100% |
| aquí | 3 | — | 0 | 3 | 3 100% |
| Josep Piera | 3 | — | 0 | 5 | 5 100% |
| Pere Calders | 3 | — | 0 | 3 | 3 100% |
| Vicenç Llorca | 3 | — | 0 | 5 | 5 100% |
| Josep Vallverdú | 2 | — | 0 | 2 | 2 100% |
| Andreu Martín | 2 | — | 0 | 5 | 5 100% |
| Teresa Pascual | 2 | — | 0 | 2 | 2 100% |
| Vicent Andrés Estellés | 2 | — | 0 | 21 | 20 95.2% |
| Àngel Guimerà | 2 | — | 0 | 2 | 1 50% |
| Josep Carner | 2 | — | 0 | 3 | 3 100% |
| Escriptors | 2 | — | 0 | 2 | 2 100% |
| Ferran Torrent | 2 | — | 0 | 21 | 21 100% |
| Biografia | 2 | — | 0 | 335 | 334 99.7% |
| Agustí Bartra | 2 | — | 0 | 2 | 2 100% |
| Francesc Parcerisas | 2 | — | 0 | 2 | 2 100% |
| Més informació | 2 | — | 0 | 2 | 2 100% |
| Joan Roís de Corella | 2 | — | 0 | 3 | 3 100% |
| Joan Puig i Ferreter | 2 | — | 0 | 4 | 2 50% |
| Enric Valor | 2 | — | 0 | 2 | 2 100% |
| Feliu Formosa | 2 | — | 0 | 140 | 140 100% |
| Jordi Llovet | 2 | — | 0 | 2 | 2 100% |
| Escriptors en llengua catalana | 2 | — | 0 | 3 | 2 66.7% |
| Associació d'Escriptors en Llengua Catalana | 2 | — | 0 | 214 | 214 100% |
| Jaume Roig | 2 | — | 0 | 2 | 1 50% |
| El vertigen del trapezista | 2 | — | 0 | 2 | 2 100% |
| Albert Jané | 2 | — | 0 | 2 | 2 100% |
| Associació d'Escriptors en Llengua Catalana (AELC) | 2 | — | 0 | 2 | 0 0% |
| escriptors.cat | 2 | — | 0 | 3 | 3 100% |
| http://www.escriptors.cat/autors/raspallj/pagina.php?id_sec=2452 | 2 | — | 0 | 2 | 1 50% |
| Josep Ballester | 2 | — | 0 | 140 | 140 100% |
| Manuel de Pedrolo | 2 | — | 0 | 21 | 21 100% |
| Joanot Martorell | 2 | — | 0 | 2 | 1 50% |
| Joan Salvat-Papasseit | 2 | — | 0 | 21 | 21 100% |
| Carles Fages de Climent | 2 | — | 0 | 2 | 1 50% |
Frequently Asked Questions
What anchor texts are used to link to escriptors.cat?
This page shows all anchor texts found in backlinks pointing to escriptors.cat, 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 escriptors.cat.
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 escriptors.cat have?
The anchor text report for escriptors.cat 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.