Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| DeepLearning.AI | 28 | — | 0 | 410 | 406 99% |
| deeplearning.ai | 13 | — | 0 | 16 | 12 75% |
| The Batch | 9 | — | 0 | 11 | 10 90.9% |
| 9 | — | 0 | 14 | 7 50% | |
| DeepLearning.ai | 8 | — | 0 | 9 | 8 88.9% |
| https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/ | 6 | — | 0 | 7 | 6 85.7% |
| ChatGPT Prompt Engineering for Developers | 5 | — | 0 | 5 | 4 80% |
| Deeplearning.ai | 4 | — | 0 | 4 | 3 75% |
| https://www.deeplearning.ai/resources/natural-language-processing/ | 3 | — | 0 | 3 | 3 100% |
| Building Systems with the ChatGPT API | 3 | — | 0 | 3 | 1 33.3% |
| LangChain for LLM Application Development | 2 | — | 0 | 3 | 0 0% |
| Andrew Ng | 2 | — | 0 | 2 | 2 100% |
| Link | 2 | — | 0 | 2 | 2 100% |
| here | 2 | — | 0 | 13 | 13 100% |
| Finetuning Large Language Models | 2 | — | 0 | 9 | 8 88.9% |
| 打开网站 | 2 | — | 0 | 2 | 2 100% |
| Machine Learning Yearning | 2 | — | 0 | 2 | 2 100% |
| https://www.deeplearning.ai/the-batch | 2 | — | 0 | 3 | 0 0% |
| https://www.deeplearning.ai/ | 2 | — | 0 | 2 | 2 100% |
| Deep Learning AI | 2 | — | 0 | 2 | 2 100% |
| https://www.deeplearning.ai/courses/ | 2 | — | 0 | 2 | 2 100% |
| https://www.deeplearning.ai/short-courses/building-systems-with-chatgpt/ | 2 | — | 0 | 2 | 2 100% |
| prompt engineering | 2 | — | 0 | 2 | 2 100% |
| Natural Language Processing (NLP) | 2 | — | 0 | 2 | 2 100% |
| How Diffusion Models Work | 2 | — | 0 | 2 | 1 50% |
| Replit | 2 | — | 0 | 3 | 3 100% |
| @SEO_CARTEL IN TELEGRAM - SEO BACKLINKS, BULK LINK POSTING, BOOST SEO RANKING | 2 | — | 0 | 2 | 0 0% |
| https://www.deeplearning.ai/short-courses/mcp-build-rich-context-ai-apps-with-anthropic/ | 2 | — | 0 | 2 | 2 100% |
| Meta | 2 | — | 0 | 2 | 2 100% |
| 1 | 2 | — | 0 | 2 | 2 100% |
| https://www.deeplearning.ai/short-courses/multi-ai-agent-systems-with-crewai/ | 2 | — | 0 | 2 | 2 100% |
| https://www.deeplearning.ai/courses/generative-ai-for-everyone/ | 2 | — | 0 | 2 | 2 100% |
| AI for Everyone | 2 | — | 0 | 2 | 2 100% |
| https://www.deeplearning.ai/short-courses/vibe-coding-101-with-replit/ | 2 | — | 0 | 2 | 2 100% |
| Generative AI for Everyone | 2 | — | 0 | 2 | 2 100% |
| using cloud servers | 1 | — | 0 | 1 | 1 100% |
| https://www.deeplearning.ai/short-courses/post-training-of-llms/ | 1 | — | 0 | 1 | 1 100% |
| fabricate | 1 | — | 0 | 1 | 1 100% |
| Microsoft | 1 | — | 0 | 1 | 1 100% |
| ubiquitous | 1 | — | 0 | 1 | 1 100% |
| link | 1 | — | 0 | 1 | 1 100% |
| The Batch par DeepMind | 1 | — | 0 | 1 | 1 100% |
| Learn more | 1 | — | 0 | 2 | 2 100% |
| cut the cost | 1 | — | 0 | 1 | 1 100% |
| Course Agentic design patterns: Learn the key design patterns of Reflection, tool use, planning and multi-agent collaboration with the Autogen framework AI Agentic Design Patterns with AutoGen View Course | 1 | — | 0 | 1 | 1 100% |
| | 1 | — | 0 | 1 | 1 100% |
| Natural Language Processing (NLP) models | 1 | — | 0 | 1 | 1 100% |
| deep-learning | 1 | — | 0 | 1 | 1 100% |
| Devin | 1 | — | 0 | 1 | 1 100% |
| Turing-NLG | 1 | — | 0 | 1 | 1 100% |
Frequently Asked Questions
What anchor texts are used to link to deeplearning.ai?
This page shows all anchor texts found in backlinks pointing to deeplearning.ai, 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 deeplearning.ai.
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 deeplearning.ai have?
The anchor text report for deeplearning.ai 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.