RRepoGEO

REPOGEO REPORT · LITE

zhudotexe/kani

Default branch main · commit e648d1c9 · scanned 6/9/2026, 8:31:49 AM

GitHub: 603 stars · 30 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 zhudotexe/kani, 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
    Clarify Python framework in README H1

    Why:

    CURRENT
    kani (カニ) is a lightweight and highly hackable framework for chat-based language models with **tool usage/function calling**.
    COPY-PASTE FIX
    kani (カニ) is a lightweight and highly hackable **Python microframework** for chat-based language models with **tool usage/function calling**.
  • mediumtopics#2
    Add agent-specific topics

    Why:

    CURRENT
    chatgpt, framework, function-calling, gpt-4, large-language-models, llama, llms, microframework, openai, tool-use
    COPY-PASTE FIX
    chatgpt, framework, function-calling, gpt-4, large-language-models, llama, llms, microframework, openai, tool-use, ai-agents, conversational-ai, llm-agents
  • mediumreadme#3
    Reposition README to emphasize agent building

    Why:

    CURRENT
    Compared to other LM frameworks, kani is less opinionated and offers more fine-grained customizability over the parts of the control flow that matter, making it the perfect choice for NLP researchers, hobbyists, and developers alike.
    COPY-PASTE FIX
    Compared to other LM frameworks, kani is less opinionated and offers more fine-grained customizability over the parts of the control flow that matter, making it the perfect choice for NLP researchers, hobbyists, and developers alike who want to build robust and extensible conversational AI 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 zhudotexe/kani
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. Instructor · recommended 1×
  5. Marvin · recommended 1×
  • CATEGORY QUERY
    What's a good microframework for building custom language model agents with function calling?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Instructor
    4. Marvin
    5. Haystack

    AI recommended 5 alternatives but never named zhudotexe/kani. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a flexible LLM framework offering fine-grained control over tool integration and chat flow.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Microsoft Semantic Kernel
    4. Haystack
    5. OpenAI Assistants API
    6. Guidance
    7. LiteLLM

    AI recommended 7 alternatives but never named zhudotexe/kani. 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 zhudotexe/kani?
    pass
    AI named zhudotexe/kani explicitly

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

  • If a team adopts zhudotexe/kani in production, what risks or prerequisites should they evaluate first?
    pass
    AI named zhudotexe/kani 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 zhudotexe/kani solve, and who is the primary audience?
    pass
    AI named zhudotexe/kani 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 zhudotexe/kani. 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/zhudotexe/kani.svg)](https://repogeo.com/en/r/zhudotexe/kani)
HTML
<a href="https://repogeo.com/en/r/zhudotexe/kani"><img src="https://repogeo.com/badge/zhudotexe/kani.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

zhudotexe/kani — 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