RRepoGEO

REPOGEO REPORT · LITE

pgalko/BambooAI

Default branch main · commit 855a78a0 · scanned 6/7/2026, 1:46:48 AM

GitHub: 775 stars · 83 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 pgalko/BambooAI, 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
  • highreadme#1
    Reposition README's first sentence to emphasize interactive and conversational data analysis

    Why:

    CURRENT
    BambooAI is an open-source library that enables natural language-based data analysis using Large Language Models (LLMs).
    COPY-PASTE FIX
    BambooAI is an open-source library for **interactive, conversational data analysis** using Large Language Models (LLMs).
  • mediumhomepage#2
    Add the project homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://bambooai.org
  • mediumtopics#3
    Add more specific topics related to conversational and interactive data exploration

    Why:

    CURRENT
    ai, ai-agents, anthropic, data-analysis, data-science, docker, gemini, groq, llm, mistral, ollama, openai-api, pandas, pinecone, python, vector-database, vllm
    COPY-PASTE FIX
    ai, ai-agents, anthropic, conversational-ai, data-analysis, data-science, data-exploration, docker, gemini, groq, interactive-data-analysis, llm, mistral, ollama, openai-api, pandas, pinecone, python, vector-database, vllm

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 pgalko/BambooAI
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LlamaIndex
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LlamaIndex · recommended 2×
  2. LangChain · recommended 2×
  3. PandasAI · recommended 1×
  4. Mito · recommended 1×
  5. Streamlit · recommended 1×
  • CATEGORY QUERY
    How can I use large language models for interactive data analysis with Python?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. PandasAI
    4. Mito
    5. Streamlit
    6. Gradio
    7. Jupyter AI

    AI recommended 7 alternatives but never named pgalko/BambooAI. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What library helps with conversational data exploration from various sources using AI?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. Rasa
    5. OpenAI API

    AI recommended 5 alternatives but never named pgalko/BambooAI. 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 pgalko/BambooAI?
    pass
    AI named pgalko/BambooAI explicitly

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

  • If a team adopts pgalko/BambooAI in production, what risks or prerequisites should they evaluate first?
    pass
    AI named pgalko/BambooAI 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 pgalko/BambooAI solve, and who is the primary audience?
    pass
    AI named pgalko/BambooAI explicitly

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

Embed your GEO score

Drop this badge into the README of pgalko/BambooAI. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/pgalko/BambooAI.svg)](https://repogeo.com/en/r/pgalko/BambooAI)
HTML
<a href="https://repogeo.com/en/r/pgalko/BambooAI"><img src="https://repogeo.com/badge/pgalko/BambooAI.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

pgalko/BambooAI — 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