RRepoGEO

REPOGEO REPORT · LITE

kevoreilly/CAPEv2

Default branch master · commit 394455c2 · scanned 6/25/2026, 4:22:16 AM

GitHub: 3,303 stars · 586 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)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 kevoreilly/CAPEv2, 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
  • highabout#1
    Refine the repository's 'About' description for better AI categorization

    Why:

    CURRENT
    Malware Configuration And Payload Extraction
    COPY-PASTE FIX
    CAPE v2: An advanced, actively maintained malware sandbox for automated unpacking, configuration extraction, and deep behavioral analysis, extending Cuckoo Sandbox.
  • highreadme#2
    Reposition the README's main heading to highlight CAPEv2's advanced capabilities

    Why:

    CURRENT
    ## CAPE: Malware Configuration And Payload Extraction - Documentation
    COPY-PASTE FIX
    ## CAPE v2: Advanced Malware Sandbox for Automated Unpacking, Configuration Extraction, and Deep Behavioral Analysis (Extending Cuckoo Sandbox)
  • mediumlicense#3
    Add a section to README clarifying the project's license

    Why:

    COPY-PASTE FIX
    ### License

This project's licensing is detailed in the `LICENSE` file. It is based on [mention original license if known, e.g., 'Cuckoo Sandbox's Apache 2.0 license'] with additional terms and modifications. Please consult the `LICENSE` file directly for the full terms and conditions.

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 kevoreilly/CAPEv2
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
cuckoosandbox/cuckoo
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. cuckoosandbox/cuckoo · recommended 2×
  2. ANY.RUN · recommended 2×
  3. Hybrid Analysis · recommended 2×
  4. VMRay Analyzer · recommended 2×
  5. Intezer Analyze · recommended 2×
  • CATEGORY QUERY
    How to safely analyze unknown executables and extract their runtime behavior and configurations?
    you: not recommended
    AI recommended (in order):
    1. Cuckoo Sandbox (cuckoosandbox/cuckoo)
    2. ANY.RUN
    3. Falcon Sandbox
    4. Hybrid Analysis
    5. VMRay Analyzer
    6. Intezer Analyze
    7. CAPE Sandbox (CAPESandbox/CAPE)

    AI recommended 7 alternatives but never named kevoreilly/CAPEv2. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a tool for dynamic malware unpacking and automated configuration extraction during reverse engineering.
    you: not recommended
    AI recommended (in order):
    1. Cuckoo Sandbox (cuckoosandbox/cuckoo)
    2. ANY.RUN
    3. CAPE Sandbox (CAPESandbox/CAPE)
    4. VMRay Analyzer
    5. Hybrid Analysis
    6. Intezer Analyze
    7. Pestudio

    AI recommended 7 alternatives but never named kevoreilly/CAPEv2. 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 kevoreilly/CAPEv2?
    pass
    AI named kevoreilly/CAPEv2 explicitly

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

  • If a team adopts kevoreilly/CAPEv2 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named kevoreilly/CAPEv2 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 kevoreilly/CAPEv2 solve, and who is the primary audience?
    pass
    AI did not name kevoreilly/CAPEv2 — 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?

Embed your GEO score

Drop this badge into the README of kevoreilly/CAPEv2. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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kevoreilly/CAPEv2 — 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