RRepoGEO

REPOGEO REPORT · LITE

microsoft/prompt-engine

Default branch main · commit 07949930 · scanned 5/21/2026, 8:36:32 PM

GitHub: 2,751 stars · 121 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
35 /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
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/prompt-engine, 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 core differentiator

    Why:

    CURRENT
    This repo contains an NPM utility library for creating and maintaining prompts for Large Language Models (LLMs).
    COPY-PASTE FIX
    Prompt Engine is an NPM utility library for building, managing, and iterating on prompts for Large Language Models (LLMs) with a strong emphasis on type safety, schema validation, and testability.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    prompt-engineering, llm, large-language-models, typescript, javascript, prompt-management, ai, generative-ai, prompt-validation
  • mediumhomepage#3
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    https://www.npmjs.com/package/prompt-engine

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/prompt-engine
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 1×
  2. PromptPerfect · recommended 1×
  3. wandb/wandb · recommended 1×
  4. OpenAI Playground · recommended 1×
  5. Humanloop · recommended 1×
  • CATEGORY QUERY
    How can I simplify crafting and managing prompts for large language models?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. PromptPerfect
    3. Weights & Biases Prompts (wandb/wandb)
    4. OpenAI Playground
    5. Humanloop

    AI recommended 5 alternatives but never named microsoft/prompt-engine. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good libraries for programmatic prompt engineering with AI models?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. OpenAI Python Library
    5. Guidance
    6. PromptLayer

    AI recommended 6 alternatives but never named microsoft/prompt-engine. 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 microsoft/prompt-engine?
    pass
    AI named microsoft/prompt-engine 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/prompt-engine in production, what risks or prerequisites should they evaluate first?
    pass
    AI named microsoft/prompt-engine 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/prompt-engine solve, and who is the primary audience?
    pass
    AI named microsoft/prompt-engine explicitly

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

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microsoft/prompt-engine — 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