RRepoGEO

REPOGEO REPORT · LITE

langchain-ai/langchain-nextjs-template

Default branch main · commit 1565feeb · scanned 5/22/2026, 4:48:28 PM

GitHub: 2,486 stars · 553 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface langchain-ai/langchain-nextjs-template, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition README opening to clearly state purpose, audience, and key features

    Why:

    CURRENT
    This template scaffolds a LangChain.js + Next.js starter app. It showcases how to use and combine LangChain modules for several use cases. Specifically: - [Simple chat](/app/api/chat/route.ts) - [Returning structured output from an LLM call](/app/api/chat/structured_output/route.ts) - [Answering complex, multi-step questions with agents](/app/api/chat/agents/route.ts) - [Retrieval augmented generation (RAG) with a chain and a vector store](/app/api/chat/retrieval/route.ts) - [Retrieval augmented generation (RAG) with an agent and a vector store](/app/api/chat/retrieval_agents/route.ts) Most of them use Vercel's AI SDK to stream tokens to the client and display the incoming messages. The agents use LangGraph.js, LangChain's framework for building agentic workflows.
    COPY-PASTE FIX
    This is the official LangChain.js + Next.js starter template, designed for developers building interactive AI applications. It provides a production-ready foundation to quickly implement common AI use cases, including: simple chat, structured output from LLMs, complex multi-step questions with agents, and retrieval augmented generation (RAG) with both chains and agents. It leverages Vercel's AI SDK for streaming and LangGraph.js for robust agentic workflows.
  • mediumabout#2
    Enhance repository description to include 'AI applications'

    Why:

    CURRENT
    LangChain + Next.js starter template
    COPY-PASTE FIX
    Starter template for building AI applications with LangChain.js and Next.js, featuring RAG and agents.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface langchain-ai/langchain-nextjs-template
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Streamlit
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Streamlit · recommended 1×
  2. Gradio · recommended 1×
  3. Next.js · recommended 1×
  4. React · recommended 1×
  5. Vercel AI SDK · recommended 1×
  • CATEGORY QUERY
    How to quickly build an interactive AI chat application with a modern web framework?
    you: not recommended
    AI recommended (in order):
    1. Streamlit
    2. Gradio
    3. Next.js
    4. React
    5. Vercel AI SDK
    6. Vercel
    7. OpenAI
    8. Anthropic
    9. SvelteKit
    10. Svelte
    11. Vue.js
    12. Nuxt.js
    13. Flask
    14. HTMX
    15. Jinja2
    16. Django

    AI recommended 16 alternatives but never named langchain-ai/langchain-nextjs-template. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a template for implementing retrieval augmented generation and AI agents in a web app.
    you: not recommended
    AI recommended (in order):
    1. LangChain Templates (langchain-ai/langchain-templates)
    2. LlamaIndex Starters (run-llama/llama_index)
    3. Next.js AI Chatbot Template (vercel/ai-chatbot)
    4. Streamlit (streamlit/streamlit)
    5. Gradio (gradio-app/gradio)
    6. FastAPI (tiangolo/fastapi)
    7. React (facebook/react)
    8. Vue (vuejs/core)
    9. OpenAI Cookbook (openai/openai-cookbook)
    10. Hugging Face Transformers Agents (huggingface/transformers)

    AI recommended 10 alternatives but never named langchain-ai/langchain-nextjs-template. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of langchain-ai/langchain-nextjs-template?
    pass
    AI named langchain-ai/langchain-nextjs-template explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts langchain-ai/langchain-nextjs-template in production, what risks or prerequisites should they evaluate first?
    pass
    AI named langchain-ai/langchain-nextjs-template explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo langchain-ai/langchain-nextjs-template solve, and who is the primary audience?
    pass
    AI did not name langchain-ai/langchain-nextjs-template — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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langchain-ai/langchain-nextjs-template — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
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langchain-ai/langchain-nextjs-template — RepoGEO report