Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| LangChain | 6 | — | 0 | 6 | 5 83.3% |
| LangChain Documentation | 3 | — | 0 | 6 | 5 83.3% |
| 2 | — | 0 | 3 | 2 66.7% | |
| agents | 2 | — | 0 | 2 | 1 50% |
| LangChain Docs | 2 | — | 0 | 2 | 1 50% |
| LangGraph | 2 | — | 0 | 2 | 1 50% |
| chains | 1 | — | 0 | 1 | 1 100% |
| LangChain tools | 1 | — | 0 | 1 | 1 100% |
| LangSmith | 1 | — | 0 | 1 | 1 100% |
| https://docs.langchain.com/oss/javascript/langchain/retrieval | 1 | — | 0 | 1 | 1 100% |
| Versioning | 1 | — | 0 | 2 | 0 0% |
| indexes | 1 | — | 0 | 1 | 1 100% |
| Link | 1 | — | 0 | 2 | 2 100% |
| https://docs.langchain.com/oss/javascript/integrations/retrievers | 1 | — | 0 | 1 | 1 100% |
| LangChain RAG tutorial | 1 | — | 0 | 1 | 1 100% |
| Langchain Documentation | 1 | — | 0 | 1 | 0 0% |
| 访问官网 | 1 | — | 0 | 1 | 1 100% |
| https://docs.langchain.com/docs/ | 1 | — | 0 | 2 | 2 100% |
| langchain | 1 | — | 0 | 1 | 0 0% |
| 7 | 1 | — | 0 | 1 | 0 0% |
| Homepage | 1 | — | 0 | 3 | 0 0% |
| LangChain LangChain LangChain是一个用于构建大模型应用的开源框架，提供标准化接口和模块化组件，支持快速开发AI应用。 | 1 | — | 0 | 4 | 0 0% |
| 9 | 1 | — | 0 | 1 | 0 0% |
| Documentation | 1 | — | 0 | 1 | 1 100% |
| TELEGRAM @MASSLINKER | SOFTWARE TO PUBLISH BACKLINKS YOURSELF | MASSLINKER.COM | 1 | — | 0 | 1 | 0 0% |
| LangChain Tool Executor 文档 | 1 | — | 0 | 1 | 1 100% |
| index-related chains | 1 | — | 0 | 1 | 1 100% |
| Contributing Guide | 1 | — | 0 | 2 | 0 0% |
| https://docs.langchain.com/ | 1 | — | 0 | 1 | 1 100% |
| 4 | 1 | — | 0 | 1 | 0 0% |
| 5 | 1 | — | 0 | 1 | 0 0% |
| Docs | 1 | — | 0 | 10 | 10 100% |
| LangChainLangChain开发由语言模型驱动的应用程序的框架 | 1 | — | 0 | 2 | 0 0% |
| Documentación oficial de LangChain | 1 | — | 0 | 3 | 3 100% |
| Read more about agents | 1 | — | 0 | 1 | 0 0% |
| 8 | 1 | — | 0 | 1 | 0 0% |
| Documentación de LangChain | 1 | — | 0 | 1 | 1 100% |
| Index-related Chains | 1 | — | 0 | 1 | 1 100% |
| LangChain OSS (v1-alpha) : Core Components – Tools | 1 | — | 0 | 1 | 0 0% |
| documentación | 1 | — | 0 | 1 | 1 100% |
| home-icon | 1 | — | 0 | 1 | 1 100% |
| 2 | 1 | — | 0 | 1 | 0 0% |
| 12 | 1 | — | 0 | 1 | 0 0% |
| LangChain Installation Docs | 1 | — | 0 | 1 | 1 100% |
| LangChain documentation | 1 | — | 0 | 1 | 1 100% |
| https://docs.langchain.com/oss/python/langchain/agents | 1 | — | 0 | 1 | 1 100% |
| 3 | 1 | — | 0 | 1 | 0 0% |
| LangChain Philosophy | 1 | — | 0 | 1 | 1 100% |
| chat message history | 1 | — | 0 | 1 | 1 100% |
| LangChain – 开源AI应用开发框架，简化大模型集成 LangChain – 开源AI应用开发框架，简化大模型集成 LangChain是一个开源框架，用于简化大语言模型应用的开发，支持多模型集成、工具调用和复杂工作流编排。 | 1 | — | 0 | 1 | 0 0% |
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.