Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| Sifted | 119 | — | 0 | 337 | 326 96.7% |
| 53 | — | 0 | 113 | 109 96.5% | |
| here | 19 | — | 0 | 21 | 20 95.2% |
| Read more | 11 | — | 0 | 24 | 22 91.7% |
| sifted.eu | 8 | — | 0 | 8 | 6 75% |
| Sifted.eu | 7 | — | 0 | 8 | 8 100% |
| raised | 6 | — | 0 | 9 | 9 100% |
| reported | 5 | — | 0 | 7 | 6 85.7% |
| Read article | 5 | — | 0 | 8 | 8 100% |
| sifted | 5 | — | 0 | 265 | 264 99.6% |
| 4th fastest growing startup | 5 | — | 0 | 14 | 14 100% |
| READ MORE | 4 | — | 0 | 5 | 2 40% |
| Pale Blue Dot VC | 3 | — | 0 | 15 | 15 100% |
| Read More | 3 | — | 0 | 3 | 2 66.7% |
| SIFTED | 3 | — | 0 | 5 | 5 100% |
| Sifted reports | 3 | — | 0 | 3 | 3 100% |
| Source | 3 | — | 0 | 4 | 4 100% |
| launched | 3 | — | 0 | 3 | 3 100% |
| 2025 London Startups To Watch | 3 | — | 0 | 4 | 2 50% |
| HIVED raised $42M | 3 | — | 0 | 12 | 12 100% |
| Inside Gloucester Circus: the family office which managed to catfish London’s VC ecosystem | 2 | — | 0 | 2 | 2 100% |
| UiPath | 2 | — | 0 | 2 | 2 100% |
| leaner | 2 | — | 0 | 2 | 2 100% |
| AI has a trust problem — meet the startups trying to fix it | 2 | — | 0 | 2 | 2 100% |
| Link | 2 | — | 0 | 2 | 2 100% |
| https://sifted.eu/articles/nesta-uk-impact-investment-50m | 2 | — | 0 | 2 | 2 100% |
| Series C investment round | 2 | — | 0 | 2 | 2 100% |
| caused controversy | 2 | — | 0 | 2 | 1 50% |
| told | 2 | — | 0 | 2 | 2 100% |
| secretive VC firm Hedosophia | 2 | — | 0 | 2 | 0 0% |
| Read full article | 2 | — | 0 | 2 | 2 100% |
| Sifted logo | 2 | — | 0 | 9 | 9 100% |
| reached a record high | 2 | — | 0 | 2 | 2 100% |
| first place | 2 | — | 0 | 2 | 2 100% |
| Quantum algorithms that speed up banking operations 100x are here | 2 | — | 0 | 2 | 2 100% |
| alleen nog Londen van overblijven | 2 | — | 0 | 2 | 2 100% |
| according | 2 | — | 0 | 2 | 2 100% |
| The European fintechs to watch in 2021 | 2 | — | 0 | 2 | 1 50% |
| Sifted, | 2 | — | 0 | 2 | 1 50% |
| raising a new fund of up to €1 billion | 2 | — | 0 | 2 | 1 50% |
| Sifted. | 2 | — | 0 | 2 | 1 50% |
| acquires | 2 | — | 0 | 2 | 2 100% |
| reports | 2 | — | 0 | 2 | 1 50% |
| UK | 2 | — | 0 | 2 | 2 100% |
| https://sifted.eu/ | 2 | — | 0 | 2 | 2 100% |
| The rise — and fall — of Babylon | 2 | — | 0 | 2 | 2 100% |
| Источник. | 2 | — | 0 | 7 | 0 0% |
| Sifted article | 2 | — | 0 | 3 | 3 100% |
| SFT | 1 | — | 0 | 4 | 0 0% |
| Prima Materia makes third startup investment — into longevity | 1 | — | 0 | 1 | 1 100% |
Frequently Asked Questions
What anchor texts are used to link to sifted.eu?
This page shows all anchor texts found in backlinks pointing to sifted.eu, 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 sifted.eu.
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 sifted.eu have?
The anchor text report for sifted.eu 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.