Here's how BLOG.LANGCHAIN.COM makes money* and how much!

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BLOG . LANGCHAIN . COM {}

Detected CMS Systems:

  1. Analyzed Page
  2. Matching Content Categories
  3. CMS
  4. Monthly Traffic Estimate
  5. How Does Blog.langchain.com Make Money
  6. Keywords
  7. Topics
  8. Schema
  9. External Links
  10. Analytics And Tracking
  11. CDN Services

We are analyzing https://blog.langchain.com/exa/.

Title:
How Exa built a Web Research Multi-Agent System with LangGraph and LangSmith
Description:
See how Exa used LangGraph and LangSmith to build a multi-agent web research system to process research queries
Website Age:
5 years and 7 months (reg. 2019-12-03).

Matching Content Categories {πŸ“š}

  • Education
  • Technology & Computing
  • Careers

Content Management System {πŸ“}

What CMS is blog.langchain.com built with?


Blog.langchain.com operates using HUBSPOT.

Traffic Estimate {πŸ“ˆ}

What is the average monthly size of blog.langchain.com audience?

🚦 Initial Traffic: less than 1k visitors per month


Based on our best estimate, this website will receive around 19 visitors per month in the current month.
However, some sources were not loaded, we suggest to reload the page to get complete results.

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How Does Blog.langchain.com Make Money? {πŸ’Έ}

We see no obvious way the site makes money.

Many websites are intended to earn money, but some serve to share ideas or build connections. Websites exist for all kinds of purposes. This might be one of them. Blog.langchain.com has a secret sauce for making money, but we can't detect it yet.

Keywords {πŸ”}

research, langgraph, exa, system, exas, case, search, agent, studies, api, multiagent, read, min, agentic, reasoning, output, langsmith, deep, structured, tasks, systems, full, token, built, results, observability, content, langchain, build, queries, team, tools, design, task, usage, web, engineering, complex, architecture, building, maintains, context, key, visibility, unlike, workflows, format, scale, snippets, critical,

Topics {βœ’οΈ}

production-ready multi-agent system multi-agent travel companion popular open-source integration ensuring cost-effective performance building multi-agent systems simple single-task queries content case studies high-quality search api complex deep-research architecture case study explores research queries daily long-running coding agents exa team read deep research agent system dynamically adjusts preserving research quality research-related tasks maintains full context independent research units structured information users requests full content architected agent flows agent ecosystem continues production deployment design specific task instructions deep research api simple auto-complete unlike rigid workflows deliver real business captide agents running delivering structured results production pricing models design choices mirror required output format intermediate reasoning states handles search content produce unstructured reports 10x productivity boost transforming government services agentic search api combined llm reasoning reliable output format original answers endpoint final cleaned outputs intentional context engineering research systems research agent building systems langchain-ai structured output

Schema {πŸ—ΊοΈ}

Article:
      context:https://schema.org
      publisher:
         type:Organization
         name:LangChain Blog
         url:https://blog.langchain.com/
         logo:
            type:ImageObject
            url:https://blog.langchain.com/content/images/2024/03/LangChain-logo.png
      author:
         type:Person
         name:LangChain
         image:
            type:ImageObject
            url:https://blog.langchain.com/content/images/2023/01/parroticon.png
            width:448
            height:448
         url:https://blog.langchain.com/author/langchain/
         sameAs:
            https://x.com/LangChainAI
      headline:How Exa built a Web Research Multi-Agent System with LangGraph and LangSmith
      url:https://blog.langchain.com/exa/
      datePublished:2025-07-01T04:29:33.000Z
      dateModified:2025-07-01T04:29:33.000Z
      image:
         type:ImageObject
         url:https://blog.langchain.com/content/images/size/w1200/2025/06/Exa.png
         width:1200
         height:714
      keywords:Case Studies
      description:See how Exa used LangGraph and LangSmith to build a multi-agent web research system to process research queries
      mainEntityOfPage:https://blog.langchain.com/exa/
Organization:
      name:LangChain Blog
      url:https://blog.langchain.com/
      logo:
         type:ImageObject
         url:https://blog.langchain.com/content/images/2024/03/LangChain-logo.png
ImageObject:
      url:https://blog.langchain.com/content/images/2024/03/LangChain-logo.png
      url:https://blog.langchain.com/content/images/2023/01/parroticon.png
      width:448
      height:448
      url:https://blog.langchain.com/content/images/size/w1200/2025/06/Exa.png
      width:1200
      height:714
Person:
      name:LangChain
      image:
         type:ImageObject
         url:https://blog.langchain.com/content/images/2023/01/parroticon.png
         width:448
         height:448
      url:https://blog.langchain.com/author/langchain/
      sameAs:
         https://x.com/LangChainAI

Analytics and Tracking {πŸ“Š}

  • Google Analytics
  • Google Analytics 4
  • Google Tag Manager
  • HubSpot
  • Site Verification - Google

CDN Services {πŸ“¦}

  • Jsdelivr

3.14s.