RRepoGEO

REPOGEO REPORT · LITE

confident-ai/deepteam

Default branch main · commit 846e2dff · scanned 6/18/2026, 4:01:55 AM

GitHub: 1,901 stars · 309 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
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
    Reposition the README's initial descriptive text

    Why:

    CURRENT
    The README excerpt shows the H1 'The LLM Red Teaming Framework' followed by navigation links, with the main descriptive text likely appearing further down.
    COPY-PASTE FIX
    Immediately after the H1 and navigation links, add a concise paragraph: "DeepTeam is an open-source framework designed for security researchers, AI safety engineers, and developers to systematically test and identify vulnerabilities in Large Language Models (LLMs) and AI agents, ensuring robust and secure AI deployments."
  • highreadme#2
    Add a dedicated comparison section to the README

    Why:

    COPY-PASTE FIX
    Add a section titled "DeepTeam vs. Other Red Teaming Tools" or "Why DeepTeam?" that briefly outlines its unique focus (e.g., agent-centric red teaming, specific attack methodologies, integration with LLM workflows) compared to common alternatives.
  • mediumreadme#3
    Expand on concrete use cases in the README

    Why:

    COPY-PASTE FIX
    Create a "Use Cases" section in the README with bullet points or short paragraphs describing specific red teaming scenarios, such as "Automated prompt injection testing for chatbots," "Evaluating LLM resistance to data exfiltration," or "Benchmarking AI agent safety against adversarial prompts."

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
Giskard
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Giskard · recommended 1×
  2. Robust Intelligence (RI) Platform · recommended 1×
  3. Adversarial Robustness Toolbox (ART) · recommended 1×
  4. OWASP Top 10 for Large Language Model Applications (LLM Top 10) · recommended 1×
  5. Microsoft Counterfit · recommended 1×
  • CATEGORY QUERY
    What tools help developers red team their AI agents to find potential safety issues?
    you: not recommended
    AI recommended (in order):
    1. Giskard
    2. Robust Intelligence (RI) Platform
    3. Adversarial Robustness Toolbox (ART)
    4. OWASP Top 10 for Large Language Model Applications (LLM Top 10)
    5. Microsoft Counterfit
    6. Fiddler AI
    7. OpenAI API
    8. Anthropic API

    AI recommended 8 alternatives but never named confident-ai/deepteam. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a Python library to implement robust guardrails for generative AI models.
    you: not recommended
    AI recommended (in order):
    1. NeMo Guardrails (NVIDIA/NeMo-Guardrails)
    2. Guardrails AI (guardrails-ai/guardrails)
    3. LangChain (langchain-ai/langchain)
    4. Pydantic (pydantic/pydantic)
    5. OpenAI Moderation API
    6. openai Python library (openai/openai-python)
    7. Hugging Face Transformers (huggingface/transformers)
    8. Microsoft Azure AI Content Safety

    AI recommended 8 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?

Embed your GEO score

Drop this badge into the README of confident-ai/deepteam. 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/confident-ai/deepteam.svg)](https://repogeo.com/en/r/confident-ai/deepteam)
HTML
<a href="https://repogeo.com/en/r/confident-ai/deepteam"><img src="https://repogeo.com/badge/confident-ai/deepteam.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

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