RRepoGEO

REPOGEO REPORT · LITE

langchain-ai/streamlit-agent

Default branch main · commit 634e1cec · scanned 5/9/2026, 10:27:42 PM

GitHub: 1,632 stars · 730 forks

AI VISIBILITY SCORE
35 /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
3 / 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 specific topics for LangChain, Streamlit, and AI agents

    Why:

    COPY-PASTE FIX
    langchain, streamlit, llm-agents, ai-applications, python, examples, reference-implementations
  • highreadme#2
    Reposition README opening to emphasize 'building' interactive AI agents

    Why:

    CURRENT
    This repository contains reference implementations of various LangChain agents as Streamlit apps including:
    COPY-PASTE FIX
    This repository provides ready-to-use, runnable examples for developers looking to build interactive AI agents using LangChain and Streamlit. It contains reference implementations of various LangChain agents as Streamlit apps, including:
  • mediumabout#3
    Refine the repository description to emphasize 'building' and 'templates'

    Why:

    CURRENT
    Reference implementations of several LangChain agents as Streamlit apps
    COPY-PASTE FIX
    Examples and templates for building interactive AI agents with LangChain and Streamlit.

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. Panel · recommended 1×
  4. FastAPI · recommended 1×
  5. React · recommended 1×
  • CATEGORY QUERY
    Need examples for building interactive AI agents with a Python web interface.
    you: not recommended
    AI recommended (in order):
    1. Gradio
    2. Streamlit
    3. Panel
    4. FastAPI
    5. React
    6. Vue
    7. Svelte
    8. Flask
    9. Jinja2
    10. Django
    11. Django REST Framework

    AI recommended 11 alternatives but never named langchain-ai/streamlit-agent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to integrate large language models with diverse data sources like documents or databases?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. OpenAI API
    5. Pinecone
    6. Weaviate
    7. Chroma
    8. Qdrant
    9. Hugging Face Transformers
    10. Sentence-Transformers

    AI recommended 10 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 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?

  • 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 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?

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  • Brand-free category queries5 vs 2 in Lite
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