Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| LangChain | 19 | — | 0 | 29 | 23 79.3% |
| LangGraph | 7 | — | 0 | 9 | 5 55.6% |
| 5 | — | 0 | 10 | 2 20% | |
| LangChain Docs | 5 | — | 0 | 7 | 6 85.7% |
| Docs | 3 | — | 0 | 87 | 87 100% |
| Deep Agents | 3 | — | 0 | 3 | 2 66.7% |
| LangChain documentation | 3 | — | 0 | 3 | 3 100% |
| LangChain Documentation | 3 | — | 0 | 6 | 5 83.3% |
| Documentation | 2 | — | 0 | 2 | 2 100% |
| LangChain overview - Docs by LangChain | 2 | — | 0 | 2 | 2 100% |
| docs | 2 | — | 0 | 2 | 2 100% |
| 访问官网 | 2 | — | 0 | 2 | 1 50% |
| https://docs.langchain.com/ | 2 | — | 0 | 2 | 2 100% |
| agents | 2 | — | 0 | 3 | 2 66.7% |
| LangChainLangChain开发由语言模型驱动的应用程序的框架 | 2 | — | 0 | 5 | 0 0% |
| docs.langchain.com | 2 | — | 0 | 2 | 1 50% |
| https://docs.langchain.com | 2 | — | 0 | 2 | 2 100% |
| Contributing Guide | 2 | — | 0 | 3 | 0 0% |
| LangSmith | 1 | — | 0 | 1 | 1 100% |
| LangGraph JS Application Structure | 1 | — | 0 | 1 | 1 100% |
| LangChain LangChain 开发由语言模型驱动的应用程序的框架 | 1 | — | 0 | 1 | 1 100% |
| https://docs.langchain.com/oss/javascript/langchain/retrieval | 1 | — | 0 | 1 | 1 100% |
| 文档 | 1 | — | 0 | 1 | 1 100% |
| Versioning | 1 | — | 0 | 2 | 0 0% |
| indexes | 1 | — | 0 | 2 | 2 100% |
| LangChainLangChainPython and JavaScript document loaders for RAG applications | 1 | — | 0 | 1 | 1 100% |
| LangChain Official Documentation | 1 | — | 0 | 1 | 1 100% |
| Use HTTP headers for runtime configuration | 1 | — | 0 | 1 | 0 0% |
| main LangChain documentation site | 1 | — | 0 | 1 | 1 100% |
| Wikipedia tool | 1 | — | 0 | 1 | 1 100% |
| LangGraph Studio | 1 | — | 0 | 1 | 1 100% |
| ChatGroq - Docs by LangChain | 1 | — | 0 | 1 | 1 100% |
| Dokumentation | 1 | — | 0 | 1 | 1 100% |
| Interrupts - Docs by LangChain | 1 | — | 0 | 5 | 4 80% |
| Visit Official Site | 1 | — | 0 | 1 | 1 100% |
| LangChain tools | 1 | — | 0 | 1 | 1 100% |
| model profiles | 1 | — | 0 | 1 | 1 100% |
| LangGraph Docs | 1 | — | 0 | 1 | 1 100% |
| attachments | 1 | — | 0 | 1 | 1 100% |
| durable execution | 1 | — | 0 | 1 | 1 100% |
| What's new in v1 - Docs by LangChain | 1 | — | 0 | 1 | 0 0% |
| orchestrator-worker | 1 | — | 0 | 1 | 0 0% |
| Integrations | 1 | — | 0 | 1 | 0 0% |
| these docs | 1 | — | 0 | 1 | 1 100% |
| OpenAI chat | 🦜️🔗 LangChain | 1 | — | 0 | 1 | 1 100% |
| LangChain Docs: Agents | 1 | — | 0 | 1 | 0 0% |
| table below | 1 | — | 0 | 1 | 1 100% |
| Link | 1 | — | 0 | 2 | 2 100% |
| filesystem abstraction | 1 | — | 0 | 1 | 1 100% |
| DeepAgents | 1 | — | 0 | 1 | 1 100% |
Frequently Asked Questions
What anchor texts are used to link to docs.langchain.com?
This page shows all anchor texts found in backlinks pointing to docs.langchain.com, 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 docs.langchain.com.
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 docs.langchain.com have?
The anchor text report for docs.langchain.com 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.