Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| Google Research | 114 | — | 0 | 186 | 176 94.6% |
| 42 | — | 0 | 60 | 59 98.3% | |
| 27 | — | 0 | 41 | 40 97.6% | |
| Google Brain | 25 | — | 0 | 32 | 32 100% |
| Borg | 19 | — | 0 | 40 | 39 97.5% |
| Google PhD Fellowship | 15 | — | 0 | 19 | 15 78.9% |
| BERT | 14 | — | 0 | 19 | 19 100% |
| Google Research Blog | 9 | — | 0 | 11 | 10 90.9% |
| Jeff Dean | 8 | — | 0 | 176 | 176 100% |
| research.google | 7 | — | 0 | 9 | 9 100% |
| paper | 6 | — | 0 | 11 | 11 100% |
| Google Research Scholar | 6 | — | 0 | 6 | 6 100% |
| here | 6 | — | 0 | 9 | 9 100% |
| Transformer | 6 | — | 0 | 8 | 7 87.5% |
| Google PhD Fellowship Program | 6 | — | 0 | 9 | 9 100% |
| Next generation medical image interpretation with MedGemma 1.5 and medical speech to text with MedASR | 6 | — | 0 | 37 | 36 97.3% |
| Hard-braking events as indicators of road segment crash risk | 6 | — | 0 | 39 | 35 89.7% |
| Google’s BERT | 6 | — | 0 | 8 | 8 100% |
| Google Research Scholar Award | 6 | — | 0 | 7 | 7 100% |
| Towards a science of scaling agent systems: When and why agent systems work | 5 | — | 0 | 35 | 35 100% |
| Source link | 5 | — | 0 | 44 | 13 29.5% |
| Google Research blog | 5 | — | 0 | 1244 | 1242 99.8% |
| Omega | 5 | — | 0 | 6 | 6 100% |
| exploreCSR | 4 | — | 0 | 6 | 6 100% |
| Responsible AI and Human-Centered Technology | 4 | — | 0 | 5 | 5 100% |
| Small models, big results: Achieving superior intent extraction through decomposition | 4 | — | 0 | 34 | 34 100% |
| Learn more | 4 | — | 0 | 44 | 44 100% |
| Zanzibar | 4 | — | 0 | 4 | 3 75% |
| NeuralGCM harnesses AI to better simulate long-range global precipitation | 4 | — | 0 | 35 | 35 100% |
| research | 4 | — | 0 | 4 | 3 75% |
| NeuralGCM | 4 | — | 0 | 4 | 3 75% |
| AI co-scientist | 4 | — | 0 | 5 | 5 100% |
| TimesFM | 4 | — | 0 | 4 | 3 75% |
| Dapper | 4 | — | 0 | 4 | 4 100% |
| MedGemma 1.5 | 4 | — | 0 | 4 | 3 75% |
| BeyondCorp | 4 | — | 0 | 4 | 4 100% |
| Med-Gemini | 4 | — | 0 | 4 | 3 75% |
| Google Cloud | 4 | — | 0 | 4 | 3 75% |
| Pre-print | 4 | — | 0 | 6 | 6 100% |
| Google AI | 3 | — | 0 | 4 | 4 100% |
| Rohit Pandey | 3 | — | 0 | 4 | 4 100% |
| they are too weak to really protect your site | 3 | — | 0 | 3 | 0 0% |
| blog post | 3 | — | 0 | 4 | 4 100% |
| DeepSomatic | 3 | — | 0 | 3 | 3 100% |
| Attention Is All You Need | 3 | — | 0 | 4 | 3 75% |
| Croissant | 3 | — | 0 | 3 | 3 100% |
| Dapper, a Large-Scale Distributed Systems Tracing Infrastructure | 3 | — | 0 | 3 | 3 100% |
| From Waveforms to Wisdom: The New Benchmark for Auditory Intelligence | 3 | — | 0 | 33 | 33 100% |
| Google Research 2025: Bolder breakthroughs, bigger impact | 3 | — | 0 | 34 | 32 94.1% |
| Google Research Africa | 3 | — | 0 | 3 | 3 100% |
Frequently Asked Questions
What anchor texts are used to link to research.google?
This page shows all anchor texts found in backlinks pointing to research.google, 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 research.google.
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 research.google have?
The anchor text report for research.google 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.