Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| Charles Thompson | 3 | — | 0 | 3 | 0 0% |
| Sophie Davies | 2 | — | 0 | 2 | 0 0% |
| Henry William Hall | 2 | — | 0 | 2 | 0 0% |
| Ian Jackson | 2 | — | 0 | 2 | 0 0% |
| http://www.sickautos.com/?q=comment/164156 | 1 | — | 0 | 1 | 0 0% |
| Simon Jackson | 1 | — | 0 | 1 | 0 0% |
| Arthur James Green | 1 | — | 0 | 1 | 0 0% |
| Christopher Francis Jones | 1 | — | 0 | 1 | 0 0% |
| Click Here | 1 | — | 0 | 3 | 3 100% |
| Richard Andrew Lewis | 1 | — | 0 | 1 | 0 0% |
| Alan Franc | 1 | — | 0 | 1 | 0 0% |
| Andrew William Evans | 1 | — | 0 | 1 | 0 0% |
| Daniel Williams | 1 | — | 0 | 1 | 0 0% |
| http://www.sickautos.com/?q=comment/233104 | 1 | — | 0 | 1 | 0 0% |
| http://www.sickautos.com/?q=comment/233556 | 1 | — | 0 | 1 | 0 0% |
| Thomas William Martin | 1 | — | 0 | 1 | 0 0% |
| Jessica Robinson | 1 | — | 0 | 1 | 0 0% |
| Harry Brown | 1 | — | 0 | 1 | 0 0% |
| James David Davies | 1 | — | 0 | 1 | 0 0% |
| William Green | 1 | — | 0 | 1 | 0 0% |
| http://www.sickautos.com/?q=node/30&page=4142#comment-296693 | 1 | — | 0 | 1 | 0 0% |
| Robert John Davies | 1 | — | 0 | 1 | 0 0% |
| Matthew Clarke | 1 | — | 0 | 1 | 0 0% |
| http://www.sickautos.com/?q=comment/303249 | 1 | — | 0 | 1 | 0 0% |
| http://sickautos.com/?q=comment/1319 | 1 | — | 0 | 1 | 0 0% |
| Stephen Evans | 1 | — | 0 | 1 | 0 0% |
| Simon White | 1 | — | 0 | 1 | 0 0% |
| Amelia Anne White | 1 | — | 0 | 1 | 0 0% |
| Matthew Smith | 1 | — | 0 | 1 | 0 0% |
| George Henry Green | 1 | — | 0 | 1 | 0 0% |
| Simon John Jackson | 1 | — | 0 | 1 | 0 0% |
| Daniel Peter Evans | 1 | — | 0 | 2 | 0 0% |
| Matthew Wright | 1 | — | 0 | 1 | 0 0% |
| Olivia Patel | 1 | — | 0 | 1 | 0 0% |
| http://www.sickautos.com/?q=node/30&page=4138#comment-295838 | 1 | — | 0 | 1 | 0 0% |
| Ian David Hall | 1 | — | 0 | 1 | 0 0% |
| Andrew Lewis | 1 | — | 0 | 1 | 0 0% |
| Christopher David White | 1 | — | 0 | 1 | 0 0% |
| Henry John Patel | 1 | — | 0 | 1 | 0 0% |
| http://www.sickautos.com/?q=comment/2840 | 1 | — | 0 | 1 | 0 0% |
| Richard Jones | 1 | — | 0 | 1 | 0 0% |
| Andrew Patel | 1 | — | 0 | 1 | 0 0% |
| http://www.sickautos.com/?q=node/30&page=4127#comment-293223 | 1 | — | 0 | 1 | 0 0% |
| Mark Joseph Thompson | 1 | — | 0 | 1 | 0 0% |
| Grace Taylor | 1 | — | 0 | 1 | 0 0% |
| Joseph Edward Wood | 1 | — | 0 | 1 | 0 0% |
| Christopher Clarke | 1 | — | 0 | 1 | 0 0% |
| William Robert Evans | 1 | — | 0 | 1 | 0 0% |
| Matthew Da | 1 | — | 0 | 1 | 0 0% |
| Paul Edward Wright | 1 | — | 0 | 1 | 0 0% |
Frequently Asked Questions
What anchor texts are used to link to sickautos.com?
This page shows all anchor texts found in backlinks pointing to sickautos.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 sickautos.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 sickautos.com have?
The anchor text report for sickautos.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.