RRepoGEO

REPOGEO REPORT · LITE

lxfater/Awesome-GPTs

Default branch main · commit a9090440 · scanned 5/29/2026, 6:02:54 PM

GitHub: 1,143 stars · 104 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 lxfater/Awesome-GPTs, 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
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the root of the repository with the text of the MIT License.
  • highreadme#2
    Clarify the repository's purpose as a curated list in the README's opening

    Why:

    CURRENT
    1000+ GPTs and 10 categories. 80+ Leaked Prompt. Give me a star ⭐ ！😘
    COPY-PASTE FIX
    A comprehensive, community-curated collection of 1000+ custom GPTs across 10 categories, including 80+ leaked prompts for various applications. Give me a star ⭐ ！😘
  • mediumtopics#3
    Add more specific topics to improve categorization

    Why:

    CURRENT
    awesome, chatbot, chatgpt, gpts, prompt
    COPY-PASTE FIX
    awesome-list, gpts-directory, prompt-collection, ai-assistants, curated-list, chatgpt-prompts, custom-gpts

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 lxfater/Awesome-GPTs
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Prompt Engineering Guide
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Prompt Engineering Guide · recommended 2×
  2. OpenAI Cookbook · recommended 2×
  3. Awesome-ChatGPT-Prompts · recommended 1×
  4. FlowGPT · recommended 1×
  5. Hugging Face Spaces · recommended 1×
  • CATEGORY QUERY
    Where can I find a curated list of specialized AI assistant configurations for various tasks?
    you: not recommended
    AI recommended (in order):
    1. Awesome-ChatGPT-Prompts
    2. Prompt Engineering Guide
    3. FlowGPT
    4. OpenAI Cookbook
    5. Hugging Face Spaces
    6. AI for Work
    7. Reddit

    AI recommended 7 alternatives but never named lxfater/Awesome-GPTs. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to discover effective prompt examples for different large language model applications?
    you: not recommended
    AI recommended (in order):
    1. Prompt Engineering Guide
    2. Awesome-Prompts
    3. OpenAI Cookbook
    4. Learn Prompting
    5. Hugging Face Hub
    6. Anthropic
    7. r/ChatGPT
    8. r/PromptEngineering

    AI recommended 8 alternatives but never named lxfater/Awesome-GPTs. 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 lxfater/Awesome-GPTs?
    pass
    AI did not name lxfater/Awesome-GPTs — 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 lxfater/Awesome-GPTs in production, what risks or prerequisites should they evaluate first?
    pass
    AI named lxfater/Awesome-GPTs 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 lxfater/Awesome-GPTs solve, and who is the primary audience?
    pass
    AI did not name lxfater/Awesome-GPTs — 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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lxfater/Awesome-GPTs — 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