RRepoGEO

REPOGEO REPORT · LITE

AgentOps-AI/BestGPTs

Default branch main · commit 4cbf52d3 · scanned 5/12/2026, 1:48:13 PM

GitHub: 1,021 stars · 73 forks

AI VISIBILITY SCORE
28 /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
2 / 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 AgentOps-AI/BestGPTs, 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 specify category

    Why:

    CURRENT
    # BestGPTs
    COPY-PASTE FIX
    # BestGPTs: A Curated, Open-Source List of Top OpenAI GPTs
  • hightopics#2
    Add specific topics for better categorization

    Why:

    COPY-PASTE FIX
    openai-gpt, custom-gpts, gpt-store, ai-agents, curated-list, generative-ai, agentops
  • mediumreadme#3
    Add an introductory paragraph to highlight unique value

    Why:

    COPY-PASTE FIX
    This repository provides a community-curated and open-source collection of the top-ranked OpenAI GPTs. Unlike proprietary directories, BestGPTs leverages GitHub's collaborative features to offer a transparent and continuously updated resource for discovering high-quality custom AI agents.

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 AgentOps-AI/BestGPTs
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Hugging Face Hub
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Hugging Face Hub · recommended 1×
  2. Papers With Code · recommended 1×
  3. TensorFlow Hub · recommended 1×
  4. PyTorch Hub · recommended 1×
  5. Kaggle · recommended 1×
  • CATEGORY QUERY
    Where can I find a curated list of top-performing custom AI models for various applications?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Hub
    2. Papers With Code
    3. TensorFlow Hub
    4. PyTorch Hub
    5. Kaggle
    6. NVIDIA's NGC
    7. OpenAI
    8. DeepMind
    9. Meta AI
    10. Google AI

    AI recommended 10 alternatives but never named AgentOps-AI/BestGPTs. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are some highly-rated AI assistants for coding, image analysis, or creative content generation?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. Tabnine
    3. CodeWhisperer
    4. Google Cloud Vision AI
    5. Amazon Rekognition
    6. Microsoft Azure Computer Vision
    7. ChatGPT
    8. Midjourney
    9. DALL-E 3
    10. Stable Diffusion
    11. Jasper

    AI recommended 11 alternatives but never named AgentOps-AI/BestGPTs. 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 AgentOps-AI/BestGPTs?
    pass
    AI did not name AgentOps-AI/BestGPTs — 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 AgentOps-AI/BestGPTs in production, what risks or prerequisites should they evaluate first?
    pass
    AI named AgentOps-AI/BestGPTs 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 AgentOps-AI/BestGPTs solve, and who is the primary audience?
    pass
    AI named AgentOps-AI/BestGPTs explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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AgentOps-AI/BestGPTs — RepoGEO report