RRepoGEO

REPOGEO REPORT · LITE

Yifan-Song793/RestGPT

Default branch main · commit d9901286 · scanned 5/12/2026, 9:02:49 AM

GitHub: 1,395 stars · 106 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 Yifan-Song793/RestGPT, 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 relevant topics to the repository

    Why:

    COPY-PASTE FIX
    llm, agent, rest-api, api-automation, language-model, ai-agent, llm-agent, restgpt, autonomous-agent
  • highreadme#2
    Reposition the README's opening to highlight its utility as an LLM agent framework

    Why:

    CURRENT
    # RestGPT
    
    This is the code for the paper RestGPT: Connecting Large Language Models with Real-World RESTful APIs.
    
    This work aims to construct a **large language model based autonomous agent, RestGPT, to control real-world applications**, such as movie database and music player.
    COPY-PASTE FIX
    # RestGPT: An LLM-based Autonomous Agent for Real-World API Control
    
    RestGPT is a powerful framework that enables large language models to act as autonomous agents, controlling real-world applications through RESTful APIs. Built on our research paper "RestGPT: Connecting Large Language Models with Real-World RESTful APIs", this repository provides the code and tools to develop agents capable of planning, executing API calls, and parsing responses to interact with services like movie databases or music players.
  • mediumreadme#3
    Add a 'Why RestGPT?' or 'Key Features' section to the README

    Why:

    COPY-PASTE FIX
    (Add a new section to the README, e.g., "## Why RestGPT?" or "## Key Features", with content similar to: "RestGPT stands out with its iterative coarse-to-fine online planning framework and robust executor designed specifically for RESTful APIs. Unlike general-purpose frameworks, RestGPT focuses on tackling the practical challenges of API calling and response parsing, and includes RestBench, a high-quality benchmark for real-world scenarios.")

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 Yifan-Song793/RestGPT
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. CrewAI · recommended 2×
  5. OpenAI Assistants API · recommended 1×
  • CATEGORY QUERY
    How to build an AI agent that can control applications using REST APIs?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. OpenAI Assistants API
    5. CrewAI
    6. AutoGPT

    AI recommended 6 alternatives but never named Yifan-Song793/RestGPT. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help large language models interact with real-world services via APIs?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Microsoft Semantic Kernel
    4. OpenAI Functions
    5. CrewAI
    6. Haystack
    7. Auto-GPT
    8. BabyAGI

    AI recommended 8 alternatives but never named Yifan-Song793/RestGPT. 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 Yifan-Song793/RestGPT?
    pass
    AI named Yifan-Song793/RestGPT explicitly

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

  • If a team adopts Yifan-Song793/RestGPT in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Yifan-Song793/RestGPT 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 Yifan-Song793/RestGPT solve, and who is the primary audience?
    pass
    AI named Yifan-Song793/RestGPT explicitly

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

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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite