RRepoGEO

REPOGEO REPORT · LITE

oritera/Cairn

Default branch main · commit 4939e8a8 · scanned 5/20/2026, 9:52:01 AM

GitHub: 1,090 stars · 139 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
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 oritera/Cairn, 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 Cairn's core purpose and explicitly counter miscategorizations in the README's opening.

    Why:

    CURRENT
    Cairn is a general-purpose problem-solving engine. <br/>It defines no roles, no workflows. Given an origin and a goal, it searches for a path through an unknown state space. <br/>AI Penetration Testing is one such problem — and a proven one.
    COPY-PASTE FIX
    Cairn is an AI general-purpose state-space search engine, *not* a secrets management solution, distributed key-value store, or infrastructure-as-code tool. It is validated first on autonomous penetration testing, designed to find paths through unknown environments given an origin and a goal.
  • highhomepage#2
    Add a homepage URL to the repository metadata.

    Why:

    COPY-PASTE FIX
    https://oritera.github.io/Cairn
  • mediumreadme#3
    Add a dedicated 'What Cairn is NOT' section to the README.

    Why:

    COPY-PASTE FIX
    ## What Cairn is NOT
    
    Cairn is *not* a:
    - **Secrets management solution** (like HashiCorp Vault)
    - **Distributed key-value store**
    - **Infrastructure-as-code deployment tool**
    - **Generic CLI utility**
    
    Cairn is a specialized AI engine for state-space search, with a proven application in autonomous penetration testing.

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 oritera/Cairn
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Palo Alto Networks Cortex XSIAM
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Palo Alto Networks Cortex XSIAM · recommended 1×
  2. Microsoft Security Copilot · recommended 1×
  3. Mandiant Advantage · recommended 1×
  4. Horizon3.ai NodeZero · recommended 1×
  5. Picus Security's Breach and Attack Simulation (BAS) Platform · recommended 1×
  • CATEGORY QUERY
    What AI tools exist for autonomous red teaming and security vulnerability discovery?
    you: not recommended
    AI recommended (in order):
    1. Palo Alto Networks Cortex XSIAM
    2. Microsoft Security Copilot
    3. Mandiant Advantage
    4. Horizon3.ai NodeZero
    5. Picus Security's Breach and Attack Simulation (BAS) Platform
    6. AttackIQ's Security Optimization Platform
    7. OpenAI GPT-4/5
    8. Google Gemini
    9. Hugging Face Transformers

    AI recommended 9 alternatives but never named oritera/Cairn. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an AI engine for general state-space problem solving in unknown environments.
    you: not recommended
    AI recommended (in order):
    1. OpenAI Gym / Gymnasium
    2. RLlib
    3. Stable Baselines3
    4. DeepMind's Acme
    5. PyTorch / TensorFlow
    6. Google OR-Tools

    AI recommended 6 alternatives but never named oritera/Cairn. 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 oritera/Cairn?
    pass
    AI named oritera/Cairn explicitly

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

  • If a team adopts oritera/Cairn in production, what risks or prerequisites should they evaluate first?
    pass
    AI named oritera/Cairn 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 oritera/Cairn solve, and who is the primary audience?
    pass
    AI named oritera/Cairn 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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oritera/Cairn — RepoGEO report