RRepoGEO

REPOGEO REPORT · LITE

langchain-ai/streamlit-agent

Default branch main · commit 634e1cec · scanned 6/19/2026, 7:52:47 PM

GitHub: 1,635 stars · 730 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
22 /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
1 / 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/streamlit-agent, 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

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

OVERALL DIRECTION
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    langchain, streamlit, llm-agents, chatbot, ai-applications, examples, reference-implementation, python
  • highreadme#2
    Reposition the README's opening to emphasize its template/reference purpose

    Why:

    CURRENT
    # 🦜️🔗 LangChain 🤝 Streamlit agent examples

This repository contains reference implementations of various LangChain agents as Streamlit apps including:
    COPY-PASTE FIX
    # 🦜️🔗 LangChain 🤝 Streamlit agent examples

This repository provides **ready-to-use reference implementations and templates** for building interactive AI applications with LangChain agents and Streamlit. Use these examples as a starting point to quickly develop your own LLM-powered chatbots and tools.
  • mediumhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://[your-live-demo-url-here]

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/streamlit-agent
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Gradio
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Gradio · recommended 1×
  2. Streamlit · recommended 1×
  3. Hugging Face Spaces · recommended 1×
  4. Rasa · recommended 1×
  5. LangChain · recommended 1×
  • CATEGORY QUERY
    How to quickly build interactive AI applications with conversational agents?
    you: not recommended
    AI recommended (in order):
    1. Gradio
    2. Streamlit
    3. Hugging Face Spaces
    4. Rasa
    5. LangChain
    6. OpenAI API
    7. Flask
    8. FastAPI

    AI recommended 8 alternatives but never named langchain-ai/streamlit-agent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help develop web-based chatbots that interact with data sources?
    you: not recommended
    AI recommended (in order):
    1. Google Dialogflow CX
    2. Microsoft Azure Bot Service
    3. Azure Cognitive Services (Language Understanding - LUIS)
    4. Rasa (RasaHQ/rasa)
    5. Amazon Lex
    6. Botpress (botpress/botpress)
    7. Twilio Autopilot
    8. ManyChat

    AI recommended 8 alternatives but never named langchain-ai/streamlit-agent. 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/streamlit-agent?
    pass
    AI did not name langchain-ai/streamlit-agent — 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?

  • If a team adopts langchain-ai/streamlit-agent in production, what risks or prerequisites should they evaluate first?
    pass
    AI named langchain-ai/streamlit-agent 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/streamlit-agent solve, and who is the primary audience?
    pass
    AI did not name langchain-ai/streamlit-agent — 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/streamlit-agent — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite