Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| Core Web Vitals | 278 | — | 0 | 537 | 469 87.3% |
| web.dev | 189 | — | 0 | 26460 | 26398 99.8% |
| Largest Contentful Paint (LCP) | 79 | — | 0 | 230 | 201 87.4% |
| Web Vitals | 78 | — | 0 | 125 | 106 84.8% |
| Cumulative Layout Shift (CLS) | 77 | — | 0 | 139 | 115 82.7% |
| Largest Contentful Paint | 77 | — | 0 | 202 | 172 85.1% |
| Web.dev | 57 | — | 0 | 71 | 61 85.9% |
| Interaction to Next Paint (INP) | 50 | — | 0 | 169 | 150 88.8% |
| Cumulative Layout Shift | 50 | — | 0 | 222 | 218 98.2% |
| LCP | 50 | — | 0 | 125 | 119 95.2% |
| First Input Delay (FID) | 50 | — | 0 | 75 | 58 77.3% |
| CLS | 38 | — | 0 | 96 | 90 93.8% |
| 34 | — | 0 | 349 | 38 10.9% | |
| Progressive Web Apps | 32 | — | 0 | 76 | 66 86.8% |
| Interaction to Next Paint | 31 | — | 0 | 60 | 49 81.7% |
| First Input Delay | 30 | — | 0 | 49 | 46 93.9% |
| First Contentful Paint | 29 | — | 0 | 91 | 85 93.4% |
| Total Blocking Time (TBT) | 29 | — | 0 | 44 | 25 56.8% |
| FID | 27 | — | 0 | 37 | 34 91.9% |
| https://web.dev/vitals/ | 26 | — | 0 | 35 | 31 88.6% |
| 26 | — | 0 | 170 | 168 98.8% | |
| here | 26 | — | 0 | 35 | 32 91.4% |
| Lighthouse | 21 | — | 0 | 80 | 75 93.8% |
| First Contentful Paint (FCP) | 20 | — | 0 | 54 | 51 94.4% |
| INP | 20 | — | 0 | 139 | 137 98.6% |
| PWA | 18 | — | 0 | 33 | 29 87.9% |
| Progressive Web App | 18 | — | 0 | 54 | 51 94.4% |
| Baseline | 17 | — | 0 | 3339 | 3337 99.9% |
| native lazy loading | 17 | — | 0 | 17 | 0 0% |
| native IFrame lazy loading | 17 | — | 0 | 17 | 0 0% |
| Time to First Byte (TTFB) | 16 | — | 0 | 34 | 30 88.2% |
| core web vitals | 14 | — | 0 | 17 | 17 100% |
| this web.dev article | 14 | — | 0 | 14 | 0 0% |
| Critical CSS | 13 | — | 0 | 13 | 2 15.4% |
| Core Web Vitals (CWV) | 13 | — | 0 | 14 | 5 35.7% |
| TTFB | 12 | — | 0 | 29 | 27 93.1% |
| Total Blocking Time | 12 | — | 0 | 30 | 30 100% |
| web.dev/measure | 12 | — | 0 | 36 | 33 91.7% |
| Time to First Byte | 12 | — | 0 | 21 | 19 90.5% |
| Time to Interactive (TTI) | 11 | — | 0 | 11 | 11 100% |
| https://web.dev/measure/ | 11 | — | 0 | 15 | 10 66.7% |
| Google (web.dev) | 11 | — | 0 | 11 | 0 0% |
| source: Google | 11 | — | 0 | 11 | 0 0% |
| Google Web Dev | 10 | — | 0 | 14 | 14 100% |
| Web Share Target API | 10 | — | 0 | 14 | 6 42.9% |
| Source | 10 | — | 0 | 15 | 15 100% |
| Time To Interactive (TTI) | 10 | — | 0 | 20 | 14 70% |
| https://web.dev | 9 | — | 0 | 19 | 17 89.5% |
| network-first | 9 | — | 0 | 9 | 0 0% |
| stale-while-revalidate | 9 | — | 0 | 10 | 9 90% |
Frequently Asked Questions
What anchor texts are used to link to web.dev?
This page shows all anchor texts found in backlinks pointing to web.dev, 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 web.dev.
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 web.dev have?
The anchor text report for web.dev 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.