RRepoGEO

REPOGEO REPORT · LITE

derisk-ai/OpenDerisk

Default branch main · commit 3194987c · scanned 6/13/2026, 7:51:46 PM

GitHub: 944 stars · 127 forks

AI VISIBILITY SCORE
35 /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
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 derisk-ai/OpenDerisk, 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 README opening to clarify open-source, AI-native, multi-agent focus

    Why:

    CURRENT
    OpenDeRisk is an AI-Native Risk Intelligence System designed as your application system's intelligent manager, providing 7×24 hour comprehensive and in-depth protection.
    COPY-PASTE FIX
    OpenDeRisk is an **open-source, AI-Native Risk Intelligence System** that leverages a **multi-agent architecture** to act as your application system's intelligent manager, providing 7×24 hour comprehensive and in-depth protection. Unlike traditional enterprise security platforms, OpenDeRisk offers a transparent, extensible framework for proactive risk identification and deep root cause analysis.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://[YOUR_PROJECT_WEBSITE_OR_REPO_URL_HERE]
  • lowtopics#3
    Add more specific topics to improve categorization

    Why:

    CURRENT
    agent, ai-sre, aigc, devops, mcp, multi-agent-systems, multi-agents-orchestration, rag, risk, rl, sre
    COPY-PASTE FIX
    agent, ai-sre, aigc, devops, mcp, multi-agent-systems, multi-agents-orchestration, rag, risk, rl, sre, open-source, application-security, risk-intelligence, ai-security

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 derisk-ai/OpenDerisk
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Splunk Enterprise Security (ES) with Machine Learning Toolkit
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Splunk Enterprise Security (ES) with Machine Learning Toolkit · recommended 1×
  2. Elastic Security (formerly Elastic SIEM) with Machine Learning · recommended 1×
  3. Microsoft Azure Sentinel with Azure Machine Learning · recommended 1×
  4. Google Cloud Security Command Center (SCC) with Chronicle Security Operations · recommended 1×
  5. IBM Security QRadar Advisor with Watson · recommended 1×
  • CATEGORY QUERY
    How can I use AI to proactively identify and mitigate application system risks?
    you: not recommended
    AI recommended (in order):
    1. Splunk Enterprise Security (ES) with Machine Learning Toolkit
    2. Elastic Security (formerly Elastic SIEM) with Machine Learning
    3. Microsoft Azure Sentinel with Azure Machine Learning
    4. Google Cloud Security Command Center (SCC) with Chronicle Security Operations
    5. IBM Security QRadar Advisor with Watson
    6. CrowdStrike Falcon Platform (with Falcon Insight XDR and Falcon Fusion)
    7. Darktrace Enterprise Immune System

    AI recommended 7 alternatives but never named derisk-ai/OpenDerisk. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools provide multi-agent SRE capabilities for deep root cause analysis across logs and traces?
    you: not recommended
    AI recommended (in order):
    1. Dynatrace
    2. New Relic One
    3. Datadog
    4. Splunk Observability Cloud
    5. Honeycomb
    6. Loki (grafana/loki)
    7. Tempo (grafana/tempo)
    8. Mimir (grafana/mimir)
    9. Prometheus (prometheus/prometheus)
    10. Grafana (grafana/grafana)
    11. Lightstep

    AI recommended 11 alternatives but never named derisk-ai/OpenDerisk. 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 derisk-ai/OpenDerisk?
    pass
    AI named derisk-ai/OpenDerisk explicitly

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

  • If a team adopts derisk-ai/OpenDerisk in production, what risks or prerequisites should they evaluate first?
    pass
    AI named derisk-ai/OpenDerisk 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 derisk-ai/OpenDerisk solve, and who is the primary audience?
    pass
    AI named derisk-ai/OpenDerisk 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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derisk-ai/OpenDerisk — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite