REPOGEO REPORT · LITE

OpenMindClub/awesome-chatgpt

Default branch main · commit c477188a · scanned 5/31/2026, 11:53:13 AM

GitHub: 1,930 stars · 203 forks

AI VISIBILITY SCORE

27 /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

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 OpenMindClub/awesome-chatgpt, 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

Add a concise introductory paragraph to the README

Why:

CURRENT

The README starts with `# awesome-chatgpt` followed by links and the Table of Contents.

COPY-PASTE FIX

After `# awesome-chatgpt`, add: "This is the most comprehensive and up-to-date curated list of everything related to ChatGPT and the broader Large Language Model (LLM) ecosystem. It serves as a central hub for developers, researchers, and enthusiasts to discover tools, resources, applications, prompts, research, and community insights."

mediumtopics#2

Add more specific topics related to LLMs and conversational AI

Why:

CURRENT

awesome, awesome-list, chatgpt, chatgpt-api, chatgpt-app, openai, openminclub, prompt, prompt-engineering, resources

COPY-PASTE FIX

awesome, awesome-list, chatgpt, chatgpt-api, chatgpt-app, openai, openminclub, prompt, prompt-engineering, resources, large-language-models, llm, conversational-ai

mediumabout#3
Broaden the repository description to reflect its coverage of the wider LLM ecosystem
Why:
CURRENT
```
⚡ Everything about ChatGPT
```
COPY-PASTE FIX
```
⚡ Everything about ChatGPT and the broader Large Language Model (LLM) ecosystem.
```

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 OpenMindClub/awesome-chatgpt

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Awesome Conversational AI

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Awesome Conversational AI · recommended 1×
Hugging Face · recommended 1×
Rasa · recommended 1×
Google Cloud AI Platform · recommended 1×
Microsoft Azure AI · recommended 1×

CATEGORY QUERY
Where can I find a comprehensive list of tools, resources, and applications for conversational AI development?
you: not recommended
AI recommended (in order):
1. Awesome Conversational AI
2. Hugging Face
3. Rasa
4. Google Cloud AI Platform
5. Microsoft Azure AI
6. OpenAI
7. Towards Data Science
AI recommended 7 alternatives but never named OpenMindClub/awesome-chatgpt. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are the best prompt engineering guides and developer utilities for building with large language models?
you: not recommended
AI recommended (in order):
1. OpenAI's Prompt Engineering Guide
2. DeepLearning.AI's "Prompt Engineering for Developers" Course
3. Anthropic's "Prompt Engineering" Documentation
4. Google's "Introduction to Prompt Design" Guide
5. LangChain
6. LlamaIndex
7. Haystack
8. Guidance
9. Outlines
10. LiteLLM
AI recommended 10 alternatives but never named OpenMindClub/awesome-chatgpt. 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 OpenMindClub/awesome-chatgpt?
pass
AI did not name OpenMindClub/awesome-chatgpt — 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 OpenMindClub/awesome-chatgpt in production, what risks or prerequisites should they evaluate first?
pass
AI named OpenMindClub/awesome-chatgpt 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 OpenMindClub/awesome-chatgpt solve, and who is the primary audience?
pass
AI did not name OpenMindClub/awesome-chatgpt — 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?

Embed your GEO score

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MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/OpenMindClub/awesome-chatgpt.svg)](https://repogeo.com/en/r/OpenMindClub/awesome-chatgpt)

HTML

<a href="https://repogeo.com/en/r/OpenMindClub/awesome-chatgpt"><img src="https://repogeo.com/badge/OpenMindClub/awesome-chatgpt.svg" alt="RepoGEO" /></a>

Pro

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OpenMindClub/awesome-chatgpt — 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