RRepoGEO

REPOGEO REPORT · LITE

AIDotNet/auto-prompt

Default branch main · commit 7674f6d8 · scanned 6/11/2026, 11:02:11 PM

GitHub: 776 stars · 108 forks

AI VISIBILITY SCORE
40 /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
3 / 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 AIDotNet/auto-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
    Clarify README's core purpose to counter AI's misconception

    Why:

    CURRENT
    The AI Prompt Optimization Platform is a professional tool designed to help users optimize prompts for AI models, enhancing AI conversation effectiveness and response accuracy. The platform integrates intelligent optimization algorithms, deep inference analysis, visualization debugging tools, and community sharing features, providing comprehensive prompt optimization solutions for AI application developers and content creators.
    COPY-PASTE FIX
    The AI Prompt Optimization Platform (AIDotNet/auto-prompt) is a professional, standalone tool designed for *optimizing* existing AI model prompts, not for generating them from code. It enhances AI conversation effectiveness and response accuracy by integrating intelligent optimization algorithms, deep inference analysis, visualization debugging tools, and community sharing features, providing comprehensive prompt optimization solutions for AI application developers and content creators.
  • hightopics#2
    Expand repository topics for better categorization

    Why:

    CURRENT
    ai, prompt
    COPY-PASTE FIX
    ai, prompt, prompt-engineering, prompt-optimization, prompt-debugging, llm-tools, ai-platform, prompt-management
  • mediumlicense#3
    Clarify license information in the README

    Why:

    COPY-PASTE FIX
    ## License
This project is licensed under a custom license. Please refer to the [LICENSE](LICENSE) file for full details.

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 AIDotNet/auto-prompt
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. OpenAI Playground/API · recommended 1×
  3. Anthropic Claude · recommended 1×
  4. Google Gemini · recommended 1×
  5. Mistral AI · recommended 1×
  • CATEGORY QUERY
    How can I improve the quality and accuracy of my AI model prompts?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Playground/API
    2. Anthropic Claude
    3. Google Gemini
    4. Mistral AI
    5. Llama 3
    6. LangChain
    7. PromptPerfect

    AI recommended 7 alternatives but never named AIDotNet/auto-prompt. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help debug and optimize AI prompts for better model responses?
    you: not recommended
    AI recommended (in order):
    1. Weights & Biases (W&B) Prompts
    2. LangChain
    3. OpenAI Playground
    4. Azure OpenAI Studio
    5. PromptLayer
    6. Humanloop
    7. Helicone (helicone/helicone)

    AI recommended 7 alternatives but never named AIDotNet/auto-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 AIDotNet/auto-prompt?
    pass
    AI named AIDotNet/auto-prompt explicitly

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

  • If a team adopts AIDotNet/auto-prompt in production, what risks or prerequisites should they evaluate first?
    pass
    AI named AIDotNet/auto-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 AIDotNet/auto-prompt solve, and who is the primary audience?
    pass
    AI named AIDotNet/auto-prompt explicitly

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

Embed your GEO score

Drop this badge into the README of AIDotNet/auto-prompt. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/AIDotNet/auto-prompt.svg)](https://repogeo.com/en/r/AIDotNet/auto-prompt)
HTML
<a href="https://repogeo.com/en/r/AIDotNet/auto-prompt"><img src="https://repogeo.com/badge/AIDotNet/auto-prompt.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

AIDotNet/auto-prompt — 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