Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| Go 言語 | 2 | — | 0 | 8 | 8 100% |
| C? Go? Cgo! | 2 | — | 0 | 4 | 4 100% |
| About | 2 | — | 0 | 10372 | 10372 100% |
| channel | 2 | — | 0 | 4 | 4 100% |
| Evolving the Go Standard Library with math/rand/v2 | 2 | — | 0 | 3 | 3 100% |
| The Go Playground | 2 | — | 0 | 3 | 3 100% |
| Error handling and Go - The Go Blog | 2 | — | 0 | 2 | 0 0% |
| https://go.dev/issue/42556 | 2 | — | 0 | 2 | 2 100% |
| official Go download page | 2 | — | 0 | 2 | 1 50% |
| Go Installation Guide | 2 | — | 0 | 2 | 1 50% |
| Report an Issue | 2 | — | 0 | 10372 | 10372 100% |
| https://go.dev/issue/52574 | 2 | — | 0 | 2 | 1 50% |
| https://go.dev/issue/62197 | 2 | — | 0 | 2 | 1 50% |
| Go Developer Survey 2023 H2 Results | 2 | — | 0 | 2 | 2 100% |
| security audit | 2 | — | 0 | 2 | 2 100% |
| https://go.dev/issue/73555 | 2 | — | 0 | 2 | 2 100% |
| https://go.dev/tour/basics/13 | 2 | — | 0 | 2 | 1 50% |
| security policy | 2 | — | 0 | 7 | 1 14.3% |
| the govulncheck tutorial | 2 | — | 0 | 2 | 1 50% |
| go.mod | 2 | — | 0 | 2 | 2 100% |
| original plan | 2 | — | 0 | 2 | 2 100% |
| Profiling Go Programs | 2 | — | 0 | 4 | 4 100% |
| Working with Errors in Go 1.13 | 2 | — | 0 | 2 | 2 100% |
| Go project | 2 | — | 0 | 10372 | 10372 100% |
| https://go.dev/tour | 2 | — | 0 | 2 | 2 100% |
| https://go.dev/tour/concurrency/2 | 2 | — | 0 | 2 | 1 50% |
| https://go.dev/doc/code#Testing | 2 | — | 0 | 2 | 1 50% |
| the Go blog | 2 | — | 0 | 2 | 2 100% |
| https://go.dev/issue/75672 | 2 | — | 0 | 2 | 1 50% |
| Go Doc Comments | 2 | — | 0 | 2 | 2 100% |
| https://go.dev/cl/590316 | 2 | — | 0 | 2 | 2 100% |
| Go 1.16 | 2 | — | 0 | 2 | 2 100% |
| https://go.dev/issue/65083 | 2 | — | 0 | 3 | 3 100% |
| https://go.dev/blog/errors-are-values | 2 | — | 0 | 2 | 0 0% |
| Go 1.23 Release Notes | 2 | — | 0 | 2 | 2 100% |
| download | 2 | — | 0 | 2 | 2 100% |
| The Go Blog | 2 | — | 0 | 2 | 1 50% |
| golang.org/help | 2 | — | 0 | 2 | 2 100% |
| Go Community Code of Conduct | 2 | — | 0 | 2 | 2 100% |
| https://go.dev/issue/52561 | 2 | — | 0 | 2 | 1 50% |
| Official Go Documentation | 2 | — | 0 | 2 | 1 50% |
| https://go.dev/cl/709853 | 2 | — | 0 | 2 | 2 100% |
| The Go Memory Model | 2 | — | 0 | 3 | 3 100% |
| Go FAQ | 2 | — | 0 | 2 | 1 50% |
| go mod init | 2 | — | 0 | 2 | 2 100% |
| Go Stable | 2 | — | 0 | 2 | 0 0% |
| official documentation | 2 | — | 0 | 2 | 2 100% |
| https://go.dev/issue/63713 | 2 | — | 0 | 2 | 0 0% |
| Go 1.23 is released | 2 | — | 0 | 2 | 2 100% |
| FAQ | 2 | — | 0 | 2 | 2 100% |
Frequently Asked Questions
What anchor texts are used to link to go.dev?
This page shows all anchor texts found in backlinks pointing to go.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 go.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 go.dev have?
The anchor text report for go.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.