RRepoGEO

REPOGEO REPORT · LITE

tangqiaoyu/ToolAlpaca

Default branch main · commit 18906999 · scanned 6/16/2026, 4:03:21 AM

GitHub: 884 stars · 37 forks

AI VISIBILITY SCORE
66 /100
Needs work
Category recall
1 / 2
Avg rank #2.0 when recommended
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 tangqiaoyu/ToolAlpaca, 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 tool learning and synthetic data

    Why:

    COPY-PASTE FIX
    tool-learning, large-language-models, llm-training, synthetic-data, multi-agent-simulation, api-interaction, tool-use
  • highreadme#2
    Reposition README opening to highlight synthetic data generation

    Why:

    CURRENT
    `ToolAlpaca` is a framework designed for learning generalized tool-use abilities in compact language models with minimal human supervision. It addresses the challenge of tool learning by generating a tool-use corpus via a multi-agent simulation environment, providing 3.9k tool-use instances from more than 400 tools.
    COPY-PASTE FIX
    `ToolAlpaca` is a novel framework for **generating high-quality synthetic tool-use datasets** via a multi-agent simulation environment, enabling compact language models to learn generalized tool-use abilities with minimal human supervision. It provides 3.9k tool-use instances from over 400 tools, specifically designed to address the challenge of training LLMs for robust API interaction.
  • mediumhomepage#3
    Add the arXiv paper link as the repository homepage

    Why:

    COPY-PASTE FIX
    https://arxiv.org/abs/2306.05301

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
1 / 2
50% of queries surface tangqiaoyu/ToolAlpaca
Avg rank
#2.0
Lower is better. #1 = top recommendation.
Share of voice
8%
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. OpenAI Function Calling · recommended 1×
  4. Instructor · recommended 1×
  5. requests · recommended 1×
  • CATEGORY QUERY
    How can I train a language model to effectively interact with external APIs?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI Function Calling
    4. Instructor
    5. requests
    6. Semantic Kernel

    AI recommended 6 alternatives but never named tangqiaoyu/ToolAlpaca. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Frameworks for generating synthetic tool-use datasets to enhance language model capabilities?
    you: #2
    AI recommended (in order):
    1. ToolBench
    2. ToolAlpaca ← you
    3. Gorilla
    4. ToolFormer
    5. LangChain
    6. LlamaIndex
    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 tangqiaoyu/ToolAlpaca?
    pass
    AI named tangqiaoyu/ToolAlpaca explicitly

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

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

Subscribe to Pro for deep diagnoses

tangqiaoyu/ToolAlpaca — 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