REPOGEO REPORT · LITE

microsoft/prompty

Default branch main · commit 90171a77 · scanned 5/13/2026, 1:36:13 AM

GitHub: 1,209 stars · 114 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 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 README opening to highlight prompt management and evaluation

Why:

CURRENT

# Prompty

[](https://pypi.org/project/prompty/)
[](https://www.npmjs.com/package/@prompty/core)
[](https://marketplace.visualstudio.com/items?itemName=ms-toolsai.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

Prompty makes it easy to create, manage, debug, and evaluate LLM prompts for your AI applications. It is a **markdown file format** (`.prompty`) for LLM prompts, designed to enhance observability, understandability, and portability for developers. 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.

mediumtopics#2

Add specific topics for prompt management, versioning, and debugging

Why:

CURRENT

generative-ai, llm-evaluation, llms, promptengineering, prompty

COPY-PASTE FIX

generative-ai, llm-evaluation, llms, promptengineering, prompty, prompt-management, prompt-version-control, prompt-debugging

lowcomparison#3

Add a comparison statement to clarify ecosystem fit

Why:

COPY-PASTE FIX

Unlike broader LLM platforms or frameworks, Prompty focuses specifically on providing a structured, declarative format for prompts, including test cases and evaluation criteria, designed to be portable and integrate with existing tools.

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

Of all named tools, what % are you?

Top rival

PromptLayer

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

PromptLayer · recommended 1×
Weights & Biases Prompts · recommended 1×
LangChain Hub · recommended 1×
GitHub/GitLab · recommended 1×
DVC · recommended 1×

CATEGORY QUERY
How can I effectively manage and version control my LLM prompts across projects?
you: not recommended
AI recommended (in order):
1. PromptLayer
2. Weights & Biases Prompts
3. LangChain Hub
4. GitHub/GitLab
5. DVC
6. Google Sheets/Airtable
7. PostgreSQL
8. MongoDB
AI recommended 8 alternatives but never named microsoft/prompty. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What tools help with debugging and evaluating large language model prompts?
you: not recommended
AI recommended (in order):
1. LangSmith
2. W&B Prompts
3. OpenAI Playground
4. Humanloop
5. Azure AI Studio Prompt Flow
AI recommended 5 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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Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/microsoft/prompty.svg)](https://repogeo.com/en/r/microsoft/prompty)

HTML

<a href="https://repogeo.com/en/r/microsoft/prompty"><img src="https://repogeo.com/badge/microsoft/prompty.svg" alt="RepoGEO" /></a>

Pro

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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