RRepoGEO

REPOGEO REPORT · LITE

koloai/kolo

Default branch main · commit bb387ed8 · scanned 5/31/2026, 12:48:01 PM

GitHub: 525 stars · 14 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 koloai/kolo, 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 opening sentence to emphasize AI agent debugging

    Why:

    CURRENT
    Trace and visualize your Python code.
    COPY-PASTE FIX
    Kolo is a text-based Python debugger specifically designed for AI agents, allowing you to capture and inspect every executed function call, return value, local variable, and HTTP request.
  • highlicense#2
    Add a standard open-source license file

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root containing the text of the MIT License.
  • mediumtopics#3
    Expand repository topics to include debugging and tracing

    Why:

    CURRENT
    ai, ai-agents, django, python, web
    COPY-PASTE FIX
    ai, ai-agents, python, django, web, debugger, tracing, ai-debugging, execution-trace

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 koloai/kolo
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
pdb
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. pdb · recommended 1×
  2. PyCharm Debugger · recommended 1×
  3. VS Code · recommended 1×
  4. snoop · recommended 1×
  5. icecream · recommended 1×
  • CATEGORY QUERY
    How can I trace function calls and variables when debugging a Python AI agent?
    you: not recommended
    AI recommended (in order):
    1. pdb
    2. PyCharm Debugger
    3. VS Code
    4. snoop
    5. icecream
    6. logging module
    7. OpenTelemetry
    8. Jaeger
    9. Zipkin
    10. PySnooper

    AI recommended 10 alternatives but never named koloai/kolo. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good Python tools for capturing detailed execution traces in AI applications?
    you: not recommended
    AI recommended (in order):
    1. OpenTelemetry (open-telemetry/opentelemetry-python)
    2. LangChain (langchain-ai/langchain)
    3. WandB (wandb/wandb)
    4. PyTorch Profiler (pytorch/pytorch)
    5. TensorFlow Profiler (tensorflow/tensorflow)
    6. cProfile
    7. line_profiler (pyutils/line_profiler)
    8. Jaeger (jaegertracing/jaeger)

    AI recommended 8 alternatives but never named koloai/kolo. 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 koloai/kolo?
    pass
    AI named koloai/kolo explicitly

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

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

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

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koloai/kolo — 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