RRepoGEO

REPOGEO REPORT · LITE

confident-ai/deepteam

Default branch main · commit a21efde6 · scanned 5/8/2026, 12:26:59 PM

GitHub: 1,686 stars · 258 forks

AI VISIBILITY SCORE
40 /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
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 confident-ai/deepteam, 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
    Strengthen the README's opening problem statement

    Why:

    CURRENT
    **DeepTeam** is a simple-to-use, open-source red teaming framework for LLM systems.
    COPY-PASTE FIX
    **DeepTeam** is the open-source, end-to-end framework for **LLM red teaming**, designed to systematically uncover and mitigate security vulnerabilities, biases, and safety risks in large language models and their applications. It provides a comprehensive toolkit for adversarial testing, ensuring your LLM systems are robust and secure before deployment.
  • mediumtopics#2
    Expand topics to include more specific LLM security and evaluation terms

    Why:

    CURRENT
    hacktoberfest, llm-guardrails, llm-red-teaming, llm-safety, python
    COPY-PASTE FIX
    hacktoberfest, llm-guardrails, llm-red-teaming, llm-safety, python, llm-security, llm-vulnerabilities, ai-safety-evaluation, adversarial-testing
  • lowcomparison#3
    Add a 'Comparison to Alternatives' section in README

    Why:

    COPY-PASTE FIX
    ## 🚀 Comparison to Alternatives

DeepTeam is purpose-built for comprehensive **LLM red teaming**, offering a dedicated framework for adversarial testing. While tools like NeMo Guardrails focus on runtime policy enforcement and Garak/LLM Guard provide specific vulnerability checks, DeepTeam provides an end-to-end system for discovering and managing a wide range of LLM risks through systematic attack generation and evaluation.

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 confident-ai/deepteam
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
NeMo Guardrails
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. NeMo Guardrails · recommended 2×
  2. Garak · recommended 1×
  3. LLM Guard · recommended 1×
  4. OWASP Top 10 for LLMs · recommended 1×
  5. PromptInject · recommended 1×
  • CATEGORY QUERY
    How can I systematically test my large language model for potential security vulnerabilities?
    you: not recommended
    AI recommended (in order):
    1. Garak
    2. LLM Guard
    3. OWASP Top 10 for LLMs
    4. NeMo Guardrails
    5. PromptInject
    6. LangChain Security Modules

    AI recommended 6 alternatives but never named confident-ai/deepteam. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source frameworks help evaluate and improve the safety of LLM applications?
    you: not recommended
    AI recommended (in order):
    1. Giskard
    2. LangChain
    3. NeMo Guardrails
    4. OpenAI Evals
    5. Ragas

    AI recommended 5 alternatives but never named confident-ai/deepteam. 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 confident-ai/deepteam?
    pass
    AI named confident-ai/deepteam explicitly

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

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

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

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MARKDOWN (README)
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confident-ai/deepteam — 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