RRepoGEO

REPOGEO REPORT · LITE

microsoft/prompty

Default branch main · commit c27402da · scanned 6/23/2026, 10:22:20 AM

GitHub: 1,221 stars · 118 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 microsoft/prompty, 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's H1 and introductory paragraph

    Why:

    CURRENT
    # Prompty
    
    > **⚠️ v2 Alpha** — This is the v2 branch of Prompty, currently in alpha. The API, file format, and tooling are under active development and may change. Feedback welcome via Issues.
    
    Prompty is a **markdown file format** (`.prompty`) for LLM prompts. Write your prompt once — run it from VS Code, Python, or TypeScript.
    COPY-PASTE FIX
    # Prompty: A Standardized Format and Tooling for LLM Prompt Management and Evaluation
    
    Prompty is an open-source asset class and file format (`.prompty`) designed to make it easy to create, manage, debug, and evaluate LLM prompts for your AI applications. It enhances observability, understandability, and portability for developers by treating prompts as first-class, versionable artifacts. Write your prompt once — run it from VS Code, Python, or TypeScript.
    
    > **⚠️ v2 Alpha** — This is the v2 branch of Prompty, currently in alpha. The API, file format, and tooling are under active development and may change. Feedback welcome via Issues.
  • mediumreadme#2
    Add a 'Comparison' or 'Why Prompty?' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section, e.g., `## Prompty vs. Other Tools` or `## Why Prompty? (Comparison)`, explaining how Prompty complements or differs from common LLM frameworks (like LangChain, LlamaIndex) and prompt management/observability platforms (like W&B Prompts, PromptLayer, Humanloop).
  • lowtopics#3
    Expand repository topics with more specific keywords

    Why:

    CURRENT
    generative-ai, llm-evaluation, llms, promptengineering, prompty
    COPY-PASTE FIX
    generative-ai, llm-evaluation, llms, promptengineering, prompty, prompt-management, prompt-observability, prompt-versioning, llm-ops

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 microsoft/prompty
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Weights & Biases (W&B) Prompts
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Weights & Biases (W&B) Prompts · recommended 1×
  2. langchain-ai/langchain · recommended 1×
  3. mlflow/mlflow · recommended 1×
  4. PromptLayer · recommended 1×
  5. Humanloop · recommended 1×
  • CATEGORY QUERY
    How to effectively manage and evaluate LLM prompts across different environments?
    you: not recommended
    AI recommended (in order):
    1. Weights & Biases (W&B) Prompts
    2. LangChain (langchain-ai/langchain)
    3. MLflow (mlflow/mlflow)
    4. PromptLayer
    5. Humanloop
    6. Vellum

    AI recommended 6 alternatives but never named microsoft/prompty. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a standardized prompt format with tooling for Python and TypeScript LLM development.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI Python Library
    4. OpenAI TypeScript Library
    5. Instructor
    6. Guidance

    AI recommended 6 alternatives but never named microsoft/prompty. 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 microsoft/prompty?
    pass
    AI named microsoft/prompty explicitly

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

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

    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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microsoft/prompty — 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