RRepoGEO

REPOGEO REPORT · LITE

lupantech/chameleon-llm

Default branch main · commit 4ea0212c · scanned 5/28/2026, 2:16:41 AM

GitHub: 1,139 stars · 83 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 lupantech/chameleon-llm, 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 opening to clearly state its role as a framework

    Why:

    CURRENT
    # :lizard: Chameleon: Plug-and-Play Compositional Reasoning with GPT-4

Code for the Paper "Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models".
    COPY-PASTE FIX
    Chameleon is a plug-and-play framework designed to enhance Large Language Models (LLMs) with compositional reasoning capabilities, enabling them to tackle complex, multi-step tasks by dynamically integrating various tools and agents. This repository provides the code for our paper "Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models".
  • mediumtopics#2
    Add more specific topics related to LLM frameworks and agents

    Why:

    CURRENT
    ai, chatgpt, gpt-4, llm, openai, python, tool
    COPY-PASTE FIX
    ai, chatgpt, gpt-4, llm, openai, python, tool, llm-framework, agentic-ai, tool-use, compositional-reasoning
  • mediumreadme#3
    Add a sentence highlighting Chameleon's unique multi-modal integration

    Why:

    COPY-PASTE FIX
    Unlike many alternatives, Chameleon provides a unified and extensible framework for seamlessly integrating diverse modalities (text, image, audio, video) into a single LLM architecture, facilitating advanced multi-modal reasoning.

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 lupantech/chameleon-llm
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. Haystack · recommended 2×
  4. DSPy · recommended 1×
  5. AutoGPT / BabyAGI · recommended 1×
  • CATEGORY QUERY
    Seeking frameworks to improve large language model performance on complex, multi-step reasoning problems.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. DSPy
    4. AutoGPT / BabyAGI
    5. PromptFlow
    6. Haystack

    AI recommended 6 alternatives but never named lupantech/chameleon-llm. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What Python tools enable modular composition and dynamic reasoning with various large language models?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. OpenAI Python Library
    5. Anthropic SDK
    6. Google Generative AI SDK
    7. Instructor
    8. Pydantic
    9. Guidance

    AI recommended 9 alternatives but never named lupantech/chameleon-llm. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 lupantech/chameleon-llm?
    pass
    AI named lupantech/chameleon-llm explicitly

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

  • If a team adopts lupantech/chameleon-llm in production, what risks or prerequisites should they evaluate first?
    pass
    AI named lupantech/chameleon-llm 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 lupantech/chameleon-llm solve, and who is the primary audience?
    pass
    AI named lupantech/chameleon-llm 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 lupantech/chameleon-llm. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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lupantech/chameleon-llm — 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