Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| Gemma | 21 | — | 0 | 57 | 52 91.2% |
| Gemini API | 20 | — | 0 | 168 | 167 99.4% |
| Google AI Studio | 18 | — | 0 | 34 | 31 91.2% |
| ai.google.dev | 17 | — | 0 | 19 | 15 78.9% |
| Gemini | 16 | — | 0 | 34 | 30 88.2% |
| 16 | — | 0 | 20 | 14 70% | |
| Terms | 14 | — | 0 | 14 | 0 0% |
| MediaPipe | 11 | — | 0 | 55 | 53 96.4% |
| 11 | — | 0 | 22 | 20 90.9% | |
| Responsible Generative AI Toolkit | 8 | — | 0 | 9 | 7 77.8% |
| Terms of Service | 8 | — | 0 | 8 | 0 0% |
| LiteRT | 8 | — | 0 | 27 | 26 96.3% |
| here | 7 | — | 0 | 8 | 4 50% |
| Google AI | 7 | — | 0 | 14921 | 14921 100% |
| Learn more | 7 | — | 0 | 44 | 44 100% |
| https://ai.google.dev/ | 7 | — | 0 | 7 | 5 71.4% |
| Google AI for Developers | 6 | — | 0 | 11 | 9 81.8% |
| Google AI Edge | 5 | — | 0 | 10 | 10 100% |
| Gemini API Additional Terms of Service | 5 | — | 0 | 7 | 5 71.4% |
| Gemini Developer API | 5 | — | 0 | 7 | 6 85.7% |
| Terms of Use | 4 | — | 0 | 4 | 0 0% |
| Google Gemini | 4 | — | 0 | 11 | 10 90.9% |
| https://ai.google.dev/gemini-api/terms | 4 | — | 0 | 4 | 3 75% |
| https://ai.google.dev/gemini-api/docs/models | 4 | — | 0 | 4 | 4 100% |
| PaliGemma | 4 | — | 0 | 5 | 4 80% |
| Gemma Terms of Use | 4 | — | 0 | 4 | 3 75% |
| https://ai.google.dev/gemini-api/docs/image-generation | 4 | — | 0 | 4 | 4 100% |
| Gemmaverse | 3 | — | 0 | 3 | 3 100% |
| Google ИИ → | 3 | — | 0 | 18 | 18 100% |
| Google AI → | 3 | — | 0 | 156 | 156 100% |
| documentation | 3 | — | 0 | 3 | 3 100% |
| Gemini AI | 3 | — | 0 | 3 | 3 100% |
| API Gemini → | 3 | — | 0 | 28 | 28 100% |
| Близнецы API → | 3 | — | 0 | 18 | 18 100% |
| Gemini API → | 3 | — | 0 | 220 | 220 100% |
| Google Gemini API Documentation | 3 | — | 0 | 3 | 1 33.3% |
| Google Gemini API | 3 | — | 0 | 3 | 3 100% |
| Google Terms | 3 | — | 0 | 3 | 0 0% |
| Gemini models | 3 | — | 0 | 3 | 3 100% |
| CodeGemma | 3 | — | 0 | 4 | 3 75% |
| TensorFlow Lite | 3 | — | 0 | 3 | 2 66.7% |
| models.list | 3 | — | 0 | 3 | 3 100% |
| Responsible GenAI Toolkit | 3 | — | 0 | 3 | 3 100% |
| https://ai.google.dev/gemini-api/docs | 3 | — | 0 | 3 | 3 100% |
| @SEO_CARTEL IN TELEGRAM - SEO BACKLINKS, BULK LINK POSTING, BOOST SEO RANKING | 2 | — | 0 | 2 | 0 0% |
| Google’s Prompt Gallery | 2 | — | 0 | 2 | 2 100% |
| personalised support apps | 2 | — | 0 | 2 | 2 100% |
| ai.google.dev/gemma | 2 | — | 0 | 2 | 2 100% |
| Google AI Privacy & Terms | 2 | — | 0 | 2 | 0 0% |
| 查看文档 | 2 | — | 0 | 6 | 6 100% |
Frequently Asked Questions
What anchor texts are used to link to ai.google.dev?
This page shows all anchor texts found in backlinks pointing to ai.google.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 ai.google.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 ai.google.dev have?
The anchor text report for ai.google.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.