RRepoGEO

REPOGEO REPORT · LITE

awwaiid/gremllm

Default branch main · commit 3ba199dc · scanned 6/8/2026, 6:57:55 PM

GitHub: 648 stars · 12 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 awwaiid/gremllm, 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 H1 to clearly state the library's purpose

    Why:

    CURRENT
    # gremllm

A slight upgrade to the Gremlins in your code, we hereby present GREMLLM. This utility class can be used for a variety of purposes. Uhm. Also please don't use this and if you do please tell me because WOW. Or maybe don't tell me. Or do.
    COPY-PASTE FIX
    # gremllm

GREMLLM is a Python library that enables dynamic, LLM-driven object behavior, allowing methods and properties to be implemented on-the-fly using large language model reasoning. It's designed for developers who want to inject AI-powered adaptability directly into their Python objects, facilitating on-the-fly code generation and execution.
  • hightopics#2
    Add specific topics to improve categorization and recall

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    python, llm, dynamic-objects, metaprogramming, code-generation, ai-powered, runtime-behavior
  • mediumhomepage#3
    Add the repository URL as the homepage

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    https://github.com/awwaiid/gremllm

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 awwaiid/gremllm
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI GPT-4 / GPT-3.5 Turbo
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI GPT-4 / GPT-3.5 Turbo · recommended 1×
  2. Anthropic Claude 3 Opus / Sonnet · recommended 1×
  3. Google Gemini 1.5 Pro · recommended 1×
  4. Jinja2 · recommended 1×
  5. `exec()` and `types.MethodType` · recommended 1×
  • CATEGORY QUERY
    How to dynamically add methods and properties to Python objects using an LLM?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4 / GPT-3.5 Turbo
    2. Anthropic Claude 3 Opus / Sonnet
    3. Google Gemini 1.5 Pro
    4. Jinja2
    5. `exec()` and `types.MethodType`
    6. `setattr()`
    7. `RestrictedPython`

    AI recommended 7 alternatives but never named awwaiid/gremllm. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a library for LLM-driven on-the-fly code generation and execution in Python applications.
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. AutoGPT (Significant-Gravitas/AutoGPT)
    4. OpenAI Functions
    5. Jupyter Kernel Gateway (jupyter/jupyter_kernel_gateway)
    6. Papermill (nteract/papermill)
    7. Code Interpreter

    AI recommended 7 alternatives but never named awwaiid/gremllm. 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 awwaiid/gremllm?
    pass
    AI named awwaiid/gremllm explicitly

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

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

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

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awwaiid/gremllm — 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