RRepoGEO

REPOGEO REPORT · LITE

prompt-engineering/click-prompt

Default branch dev · commit 39ff54db · scanned 5/28/2026, 12:11:19 AM

GitHub: 2,391 stars · 204 forks

AI VISIBILITY SCORE
33 /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
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 prompt-engineering/click-prompt, 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 README opening to emphasize "web-based platform/playground"

    Why:

    CURRENT
    ClickPrompt is a tool designed for Prompt writers, it supports a variety of Prompt-based AI applications, such as Stable Diffusion, ChatGPT, and GitHub Copilot, etc. With ClickPrompt, you can easily view, share, and run these models with one click, and an online prompt generator is provided to enable users to easily create prompts that meet their requirements and share them with others.
    COPY-PASTE FIX
    ClickPrompt is an open-source, web-based platform and playground designed for prompt engineers and AI enthusiasts. It streamlines prompt design, generation, and management across various generative AI models like Stable Diffusion, ChatGPT, and GitHub Copilot. With ClickPrompt, you can easily view, share, and run prompts with one click, and leverage an online prompt generator to create and share high-quality prompts.
  • mediumcomparison#2
    Add a "Comparison with Alternatives" section to README

    Why:

    COPY-PASTE FIX
    Add a new section titled "Comparison with Alternatives" or "Why ClickPrompt?" that briefly outlines how ClickPrompt differentiates itself from tools like PromptLayer, LangChain Hub, or even generic solutions like Notion/GitHub for prompt management, focusing on its interactive web-based editor, one-click execution, and open-source nature.
  • lowabout#3
    Refine "About" description for conciseness and keywords

    Why:

    CURRENT
    ClickPrompt - Streamline your prompt design, with ClickPrompt, you can easily view, share, and run these prompts with just one click. ClickPrompt 用于一键轻松查看、分享和执行您的 Prompt。
    COPY-PASTE FIX
    ClickPrompt is an open-source, web-based platform for prompt engineering. Easily view, generate, share, and run prompts for ChatGPT, Stable Diffusion, and GitHub Copilot with one click.

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 prompt-engineering/click-prompt
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
PromptLayer
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. PromptLayer · recommended 2×
  2. LangChain Hub · recommended 1×
  3. Weights & Biases Prompts · recommended 1×
  4. GitHub/GitLab · recommended 1×
  5. Notion / Confluence · recommended 1×
  • CATEGORY QUERY
    How can I efficiently organize and share AI prompts across various generative models?
    you: not recommended
    AI recommended (in order):
    1. PromptLayer
    2. LangChain Hub
    3. Weights & Biases Prompts
    4. GitHub/GitLab
    5. Notion / Confluence
    6. Google Docs / Microsoft Word

    AI recommended 6 alternatives but never named prompt-engineering/click-prompt. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help generate and quickly test prompts for large language and image models?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. OpenAI Playground
    3. PromptLayer
    4. Weights & Biases (W&B) Prompts
    5. Humanloop
    6. Vellum
    7. LMQL (Language Model Query Language)

    AI recommended 7 alternatives but never named prompt-engineering/click-prompt. 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 prompt-engineering/click-prompt?
    pass
    AI did not name prompt-engineering/click-prompt — 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 prompt-engineering/click-prompt in production, what risks or prerequisites should they evaluate first?
    pass
    AI named prompt-engineering/click-prompt 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 prompt-engineering/click-prompt solve, and who is the primary audience?
    pass
    AI named prompt-engineering/click-prompt explicitly

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

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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite