RRepoGEO

REPOGEO REPORT · LITE

codefuse-ai/CodeFuse-DevOps-Model

Default branch main · commit 51e3b9f9 · scanned 6/16/2026, 8:43:00 AM

GitHub: 508 stars · 42 forks

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-DevOps-Model, 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 to improve categorization

    Why:

    COPY-PASTE FIX
    llm, large-language-model, devops, ai, generative-ai, nlp, chinese-llm, code-generation
  • highreadme#2
    Reposition the English README's opening to emphasize LLM and prevent APM miscategorization

    Why:

    COPY-PASTE FIX
    Add the following sentence to the very beginning of the `README_EN.md` file: 'CodeFuse-DevOps-Model is a pioneering series of large language models (LLMs) specifically designed for the DevOps domain, offering generative AI solutions for questions and tasks, distinct from traditional APM or observability platforms.'
  • mediumlicense#3
    Clarify the existing license(s) in the README

    Why:

    COPY-PASTE FIX
    Add a section (e.g., 'License') to the README with the following text: 'This project is released under [Specify License Name(s) here, e.g., "a custom license combining Apache 2.0 and MIT terms"]. Please refer to the 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-DevOps-Model
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Dynatrace
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Dynatrace · recommended 1×
  2. Datadog · recommended 1×
  3. Splunk · recommended 1×
  4. New Relic · recommended 1×
  5. PagerDuty · recommended 1×
  • CATEGORY QUERY
    What AI tools can help me resolve common issues in my DevOps pipeline?
    you: not recommended
    AI recommended (in order):
    1. Dynatrace
    2. Datadog
    3. Splunk
    4. New Relic
    5. PagerDuty
    6. Grafana
    7. Mimir
    8. Loki
    9. Tempo

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

    Show full AI answer
  • CATEGORY QUERY
    Seeking a specialized large language model to answer questions about software development operations.
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot Chat
    2. Google Gemini
    3. ChatGPT Enterprise/Plus
    4. Claude 3 Opus/Sonnet
    5. Perplexity AI

    AI recommended 5 alternatives but never named codefuse-ai/CodeFuse-DevOps-Model. 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-DevOps-Model?
    pass
    AI did not name codefuse-ai/CodeFuse-DevOps-Model — 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-DevOps-Model in production, what risks or prerequisites should they evaluate first?
    pass
    AI named codefuse-ai/CodeFuse-DevOps-Model 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-DevOps-Model solve, and who is the primary audience?
    pass
    AI did not name codefuse-ai/CodeFuse-DevOps-Model — 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

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  • Brand-free category queries5 vs 2 in Lite
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