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

Of all named tools, what % are you?

Top rival

OpenAI GPT-4 / GPT-3.5 Turbo

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

OpenAI GPT-4 / GPT-3.5 Turbo · recommended 1×
Anthropic Claude 3 Opus / Sonnet · recommended 1×
Google Gemini 1.5 Pro · recommended 1×
Jinja2 · recommended 1×
`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?

Embed your GEO score

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MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/awwaiid/gremllm.svg)](https://repogeo.com/en/r/awwaiid/gremllm)

HTML

<a href="https://repogeo.com/en/r/awwaiid/gremllm"><img src="https://repogeo.com/badge/awwaiid/gremllm.svg" alt="RepoGEO" /></a>

Pro

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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