REPOGEO REPORT · LITE

rasbt/llm-architecture-gallery

Default branch main · commit e557fb64 · scanned 5/9/2026, 9:27:38 AM

GitHub: 1,175 stars · 96 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 rasbt/llm-architecture-gallery, 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 to emphasize the gallery's purpose

Why:

CURRENT

# LLM Architecture Gallery

This repository contains the source model metadata for the LLM Architecture Gallery.

COPY-PASTE FIX

# LLM Architecture Gallery

This repository provides the source metadata for the LLM Architecture Gallery, a visual and conceptual catalog designed to help users explore and compare diverse Large Language Model (LLM) architectures.

mediumtopics#2
Add more specific topics to improve categorization
Why:
CURRENT
```
ai, llms
```
COPY-PASTE FIX
```
ai, llms, llm-architectures, model-comparison, visual-gallery, data-catalog
```

lowreadme#3

Expand the 'Notes' section to highlight the gallery's value for comparison

Why:

CURRENT

This repository is intended as a lightweight public data export of the gallery metadata rather than the full website implementation.

COPY-PASTE FIX

This repository is intended as a lightweight public data export of the gallery metadata, supporting the full website implementation. The gallery itself serves as a valuable resource for visually comparing and understanding the design principles of various LLM architectures.

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 rasbt/llm-architecture-gallery

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Hugging Face Hub

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Hugging Face Hub · recommended 2×
Papers With Code · recommended 2×
Anthropic Documentation · recommended 2×
Wikipedia · recommended 2×
OpenAI Documentation · recommended 1×

CATEGORY QUERY
Where can I find a gallery or catalog of different LLM architectures and their details?
you: not recommended
AI recommended (in order):
1. Hugging Face Hub
2. Papers With Code
3. OpenAI Documentation
4. Google AI Blog / Google Research
5. Anthropic Documentation
6. Towards Data Science / Medium Articles
7. Wikipedia
AI recommended 7 alternatives but never named rasbt/llm-architecture-gallery. This is the gap to close.
Show full AI answer
CATEGORY QUERY
I need to compare the technical specifications and features of various large language models.
you: not recommended
AI recommended (in order):
1. Hugging Face Hub
2. Papers With Code
3. OpenAI API Documentation
4. Google AI Blog / Google Cloud Documentation
5. Anthropic Documentation
6. LMSYS Chatbot Arena Leaderboard
7. Wikipedia
AI recommended 7 alternatives but never named rasbt/llm-architecture-gallery. 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 rasbt/llm-architecture-gallery?
pass
AI named rasbt/llm-architecture-gallery explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts rasbt/llm-architecture-gallery in production, what risks or prerequisites should they evaluate first?
pass
AI named rasbt/llm-architecture-gallery 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 rasbt/llm-architecture-gallery solve, and who is the primary audience?
pass
AI named rasbt/llm-architecture-gallery explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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MARKDOWN (README)

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HTML

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Brand-free category queries5 vs 2 in Lite
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