RRepoGEO

REPOGEO REPORT · LITE

cuga-project/cuga-agent

Default branch main · commit dd5165ed · scanned 5/30/2026, 11:07:15 AM

GitHub: 742 stars · 132 forks

AI VISIBILITY SCORE
33 /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
2 / 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 cuga-project/cuga-agent, 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 CUGA's core purpose and audience in the README's opening sentence

    Why:

    CURRENT
    Building a domain-specific enterprise agent from scratch is complex and requires significant effort: agent and tool orchestration, planning logic, safety and alignment policies, evaluation for performance/cost tradeoffs and ongoing improvements.
    COPY-PASTE FIX
    CUGA is an open-source generalist agent harness designed for enterprise task automation, enabling complex execution across web and API interfaces with robust policy-aware features.
  • hightopics#2
    Add more specific topics to improve category visibility

    Why:

    CURRENT
    coding-agent, computer-use, enterprise, generalist-agent, guardrails, harness, knowledge, mcp, policies, sandbox
    COPY-PASTE FIX
    coding-agent, computer-use, enterprise, generalist-agent, guardrails, harness, knowledge, mcp, policies, sandbox, ai-agents, enterprise-ai, task-automation, api-automation, agent-orchestration, ai-governance
  • mediumreadme#3
    Clarify the project's license(s) in the README

    Why:

    COPY-PASTE FIX
    This project is licensed under [Specify License Name(s) here, e.g., 'a custom license based on Apache 2.0 and MIT principles']. Please refer to 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 cuga-project/cuga-agent
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Microsoft Azure OpenAI Service
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Microsoft Azure OpenAI Service · recommended 1×
  2. Azure AI Studio · recommended 1×
  3. Azure Policy · recommended 1×
  4. Google Cloud Vertex AI · recommended 1×
  5. LangChain · recommended 1×
  • CATEGORY QUERY
    How can I build a secure, policy-driven generalist AI agent for enterprise task automation?
    you: not recommended
    AI recommended (in order):
    1. Microsoft Azure OpenAI Service
    2. Azure AI Studio
    3. Azure Policy
    4. Google Cloud Vertex AI
    5. LangChain
    6. Google Cloud Policy Enforcement
    7. Hugging Face Transformers
    8. Open Policy Agent (OPA)
    9. DataRobot AI Platform
    10. IBM Watson Orchestrate
    11. IBM Cloud Security and Compliance
    12. C3 AI Platform
    13. Rasa Open Source

    AI recommended 13 alternatives but never named cuga-project/cuga-agent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What framework helps orchestrate complex AI agent tasks across web and API interfaces?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Haystack (deepset-ai/haystack)
    4. OpenAI Assistants API
    5. CrewAI (joaomdmoura/crewAI)
    6. AutoGPT (Significant-Gravitas/AutoGPT)

    AI recommended 6 alternatives but never named cuga-project/cuga-agent. 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 cuga-project/cuga-agent?
    pass
    AI did not name cuga-project/cuga-agent — 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 cuga-project/cuga-agent in production, what risks or prerequisites should they evaluate first?
    pass
    AI named cuga-project/cuga-agent 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 cuga-project/cuga-agent solve, and who is the primary audience?
    pass
    AI named cuga-project/cuga-agent explicitly

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

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  • Brand-free category queries5 vs 2 in Lite
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