RRepoGEO

REPOGEO REPORT · LITE

codefuse-ai/codefuse-chatbot

Default branch main · commit d6932ecf · scanned 5/21/2026, 9:57:34 PM

GitHub: 1,291 stars · 145 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
22 /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
1 / 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 codefuse-ai/codefuse-chatbot, 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 the English README's H1 and opening to emphasize SDLC/DevOps AI assistant

    Why:

    CURRENT
    # <p align="center">CodeFuse-ChatBot: Development by Private Knowledge Augmentation</p>
    COPY-PASTE FIX
    In `README_en.md`, change the main title and the first paragraph to clearly state the project's role as an 'AI intelligent assistant for the entire software development lifecycle' and its application in 'DevOps'. For example, consider: `# CodeFuse-ChatBot: An AI Assistant for the Full Software Development Lifecycle` followed by a paragraph like: `CodeFuse-ChatBot is an open-source AI intelligent assistant developed by the Ant CodeFuse team, dedicated to simplifying and optimizing various stages of the software development lifecycle. It combines a Multi-Agent collaborative scheduling mechanism with rich toolkits, code repositories, knowledge bases, and sandbox environments, enabling LLM models to effectively execute and process complex tasks within the DevOps domain.`
  • highhomepage#2
    Add project homepage URL

    Why:

    COPY-PASTE FIX
    Add the project's official homepage URL (e.g., `https://codefuse-ai.github.io/codefuse-chatbot` or a relevant project page) to the repository's 'About' section.
  • mediumlicense#3
    Clarify project license in README

    Why:

    COPY-PASTE FIX
    Add a section (e.g., '## License') or a clear statement in the README (e.g., near the bottom or in an 'About' section) that specifies the license(s) under which CodeFuse-ChatBot is distributed, referencing the existing `LICENSE` file. For example: `This project is licensed under [Specify License Name(s) here, e.g., "a custom license"]. Please see the [LICENSE](LICENSE) file for full details.`

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 codefuse-ai/codefuse-chatbot
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Significant-Gravitas/AutoGPT
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Significant-Gravitas/AutoGPT · recommended 1×
  2. yoheinakajima/babyagi · recommended 1×
  3. langchain-ai/langchain · recommended 1×
  4. run-llama/llama_index · recommended 1×
  5. geekan/MetaGPT · recommended 1×
  • CATEGORY QUERY
    How can I use an AI assistant with a multi-agent framework for full software development lifecycle automation?
    you: not recommended
    AI recommended (in order):
    1. AutoGPT (Significant-Gravitas/AutoGPT)
    2. BabyAGI (yoheinakajima/babyagi)
    3. LangChain (langchain-ai/langchain)
    4. LlamaIndex (run-llama/llama_index)
    5. MetaGPT (geekan/MetaGPT)
    6. CrewAI (joaomdmoura/crewai)
    7. OpenDevin (OpenDevin/OpenDevin)
    8. Devin
    9. Smol-developer (smol-ai/smol-developer)

    AI recommended 9 alternatives but never named codefuse-ai/codefuse-chatbot. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools integrate AI chatbots with RAG for codebases and DevOps for complex software tasks?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot Enterprise
    2. Azure OpenAI Service
    3. Cody (Sourcegraph)
    4. Llama 3
    5. GPT-4
    6. OpenAI Assistants API
    7. Pinecone
    8. Weaviate
    9. LangChain
    10. LlamaIndex
    11. Hugging Face Transformers
    12. FAISS
    13. Elasticsearch
    14. Code Llama
    15. StarCoder
    16. AWS Bedrock
    17. Amazon Kendra
    18. Anthropic Claude
    19. Amazon Titan
    20. Google Cloud Vertex AI
    21. Google Cloud Search
    22. Matching Engine
    23. Gemini

    AI recommended 23 alternatives but never named codefuse-ai/codefuse-chatbot. 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 codefuse-ai/codefuse-chatbot?
    pass
    AI did not name codefuse-ai/codefuse-chatbot — likely talking about a different project

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

  • If a team adopts codefuse-ai/codefuse-chatbot in production, what risks or prerequisites should they evaluate first?
    pass
    AI named codefuse-ai/codefuse-chatbot 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 codefuse-ai/codefuse-chatbot solve, and who is the primary audience?
    pass
    AI did not name codefuse-ai/codefuse-chatbot — likely talking about a different project

    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 codefuse-ai/codefuse-chatbot. 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/codefuse-ai/codefuse-chatbot.svg)](https://repogeo.com/en/r/codefuse-ai/codefuse-chatbot)
HTML
<a href="https://repogeo.com/en/r/codefuse-ai/codefuse-chatbot"><img src="https://repogeo.com/badge/codefuse-ai/codefuse-chatbot.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

codefuse-ai/codefuse-chatbot — 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
codefuse-ai/codefuse-chatbot — RepoGEO report