RRepoGEO

REPOGEO REPORT · LITE

amruth-sn/kong

Default branch main · commit 8c4ee4bf · scanned 5/29/2026, 2:02:11 PM

GitHub: 669 stars · 88 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 amruth-sn/kong, 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
    Add a disambiguation note to the README introduction

    Why:

    COPY-PASTE FIX
    Insert this line immediately after the main title: `Note: This project is an agentic reverse engineering tool and is not affiliated with the Kong API Gateway.`
  • mediumreadme#2
    Strengthen the README's opening to highlight unique AI differentiation

    Why:

    CURRENT
    LLM orchestration for reverse engineering binaries
    COPY-PASTE FIX
    Revise the tagline to: `Kong: The Agentic Reverse Engineer – Revolutionizing binary analysis with LLM-driven automation, going beyond traditional tools like Ghidra and IDA Pro.`
  • mediumreadme#3
    Add a 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section titled 'Kong vs. Traditional RE Tools' or 'How Kong Complements Ghidra/IDA Pro' that explains how Kong integrates with or improves upon existing workflows, specifically mentioning Ghidra and IDA Pro.

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 amruth-sn/kong
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
IDA Pro
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. IDA Pro · recommended 2×
  2. Ghidra · recommended 2×
  3. Binary Ninja · recommended 1×
  4. RetDec · recommended 1×
  5. angr · recommended 1×
  • CATEGORY QUERY
    How can I automate the recovery of function names and types in stripped binaries?
    you: not recommended
    AI recommended (in order):
    1. IDA Pro
    2. Ghidra
    3. Binary Ninja
    4. RetDec
    5. angr
    6. PANDA
    7. DeepBinDiff

    AI recommended 7 alternatives but never named amruth-sn/kong. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What AI tools are available for decompiling and analyzing obfuscated binary code?
    you: not recommended
    AI recommended (in order):
    1. IDA Pro
    2. Diaphora
    3. BinDiff
    4. Ghidra
    5. Binwalk
    6. Angr
    7. Triton
    8. Panda

    AI recommended 8 alternatives but never named amruth-sn/kong. 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 amruth-sn/kong?
    pass
    AI named amruth-sn/kong explicitly

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

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

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

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amruth-sn/kong — 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