REPOGEO REPORT · LITE

lmstudio-ai/model-catalog

Default branch main · commit 78bd5602 · scanned 6/3/2026, 3:32:58 PM

GitHub: 804 stars · 94 forks

AI VISIBILITY SCORE

22 /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

1 / 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 lmstudio-ai/model-catalog, 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

hightopics#1
Add relevant topics to improve categorization
Why:
COPY-PASTE FIX
```
llm, large-language-models, model-catalog, json-schema, lm-studio, model-metadata, ai-models
```

highreadme#2

Clarify the primary purpose and audience in the README's opening

Why:

CURRENT

# model-catalog

A collection of standardized JSON descriptors for Large Language Model (LLM) model files.

COPY-PASTE FIX

# model-catalog

A collection of standardized JSON descriptors for Large Language Model (LLM) model files, specifically designed to power model discovery and metadata within the LM Studio desktop application.

mediumhomepage#3
Add a homepage URL
Why:
COPY-PASTE FIX
```
https://lmstudio.ai/
```

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 lmstudio-ai/model-catalog

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Hugging Face Models

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Hugging Face Models · recommended 1×
Papers With Code · recommended 1×
Open LLM Leaderboard · recommended 1×
Wikipedia · recommended 1×
AI Index Report · recommended 1×

CATEGORY QUERY
Where can I find a comprehensive list of large language models with their specifications?
you: not recommended
AI recommended (in order):
1. Hugging Face Models
2. Papers With Code
3. Open LLM Leaderboard
4. Wikipedia
5. AI Index Report
6. Awesome LLM
AI recommended 6 alternatives but never named lmstudio-ai/model-catalog. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Need a standardized format for describing LLM files and their technical characteristics.
you: not recommended
AI recommended (in order):
1. Hugging Face Hub Model Cards
2. MLflow Model Signature
3. ONNX Model Zoo Metadata
4. Google's Model Card Toolkit
5. Data Sheets for Datasets
6. Custom YAML/JSON Schema
7. README.md
AI recommended 7 alternatives but never named lmstudio-ai/model-catalog. 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 lmstudio-ai/model-catalog?
pass
AI did not name lmstudio-ai/model-catalog — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts lmstudio-ai/model-catalog in production, what risks or prerequisites should they evaluate first?
pass
AI named lmstudio-ai/model-catalog 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 lmstudio-ai/model-catalog solve, and who is the primary audience?
pass
AI did not name lmstudio-ai/model-catalog — likely talking about a different project
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

<a href="https://repogeo.com/en/r/lmstudio-ai/model-catalog"><img src="https://repogeo.com/badge/lmstudio-ai/model-catalog.svg" alt="RepoGEO" /></a>

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Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite