Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| C# | 4 | — | 0 | 2102 | 2102 100% |
| Core library | 3 | — | 0 | 270 | 270 100% |
| Bibliothèque principale | 3 | — | 0 | 55 | 55 100% |
| کتابخانه هسته | 3 | — | 0 | 45 | 45 100% |
| API 库 | 3 | — | 0 | 78 | 78 100% |
| Biblioteka API | 3 | — | 0 | 66 | 66 100% |
| API ライブラリ | 3 | — | 0 | 75 | 75 100% |
| Biblioteca principal | 3 | — | 0 | 163 | 163 100% |
| 核心库 | 3 | — | 0 | 61 | 61 100% |
| API 라이브러리 | 3 | — | 0 | 78 | 78 100% |
| 核心程式庫 | 3 | — | 0 | 65 | 65 100% |
| Library API | 3 | — | 0 | 81 | 81 100% |
| Biblioteka główna | 3 | — | 0 | 58 | 58 100% |
| API kitaplığı | 3 | — | 0 | 61 | 61 100% |
| Temel kitaplık | 3 | — | 0 | 49 | 49 100% |
| کتابخانه API | 3 | — | 0 | 47 | 47 100% |
| API library | 3 | — | 0 | 317 | 317 100% |
| المكتبة الأساسية | 3 | — | 0 | 73 | 73 100% |
| ספריית ליבה | 3 | — | 0 | 30 | 30 100% |
| API 程式庫 | 3 | — | 0 | 73 | 73 100% |
| মূল গ্রন্থাগার | 3 | — | 0 | 29 | 29 100% |
| API-библиотека | 3 | — | 0 | 68 | 68 100% |
| Biblioteca de API | 3 | — | 0 | 122 | 122 100% |
| ספריית API | 3 | — | 0 | 30 | 30 100% |
| Bibliothèque d'API | 3 | — | 0 | 66 | 66 100% |
| Libreria API | 3 | — | 0 | 50 | 50 100% |
| コアライブラリ | 3 | — | 0 | 68 | 68 100% |
| API লাইব্রেরি | 3 | — | 0 | 34 | 34 100% |
| مكتبة واجهة برمجة التطبيقات | 3 | — | 0 | 81 | 81 100% |
| Libreria di base | 3 | — | 0 | 44 | 44 100% |
| Ruby | 3 | — | 0 | 2070 | 2070 100% |
| Library inti | 3 | — | 0 | 72 | 72 100% |
| ไลบรารีหลัก | 3 | — | 0 | 38 | 38 100% |
| कोर लाइब्रेरी | 3 | — | 0 | 56 | 56 100% |
| Kernbibliothek | 3 | — | 0 | 57 | 57 100% |
| एपीआई लाइब्रेरी | 3 | — | 0 | 65 | 65 100% |
| ไลบรารี API | 3 | — | 0 | 40 | 40 100% |
| PHP | 3 | — | 0 | 2065 | 2065 100% |
| API-Bibliothek | 3 | — | 0 | 68 | 68 100% |
| Основная библиотека | 3 | — | 0 | 60 | 60 100% |
| 핵심 라이브러리 | 3 | — | 0 | 66 | 66 100% |
| Biblioteca de APIs | 3 | — | 0 | 71 | 71 100% |
| referencia de PyDoc para la API de Google Chat | 2 | — | 0 | 5 | 5 100% |
| Python | 2 | — | 0 | 48 | 48 100% |
| Thư viện Core | 2 | — | 0 | 33 | 33 100% |
| gax.CallOptions | 2 | — | 0 | 3 | 3 100% |
| MCP Toolbox for Databases | 2 | — | 0 | 23 | 23 100% |
| referencje narzędzia PyDoc dotyczące interfejsu Google Chat API | 2 | — | 0 | 3 | 3 100% |
| Thư viện API | 2 | — | 0 | 38 | 38 100% |
| documentation de référence sur les API Video Stitcher en langage PHP | 1 | — | 0 | 1 | 1 100% |
Frequently Asked Questions
What anchor texts are used to link to googleapis.github.io?
This page shows all anchor texts found in backlinks pointing to googleapis.github.io, 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 googleapis.github.io.
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 googleapis.github.io have?
The anchor text report for googleapis.github.io 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.