RRepoGEO

REPOGEO REPORT · LITE

microsoft/promptbase

Default branch main · commit bf5d0dcc · scanned 5/30/2026, 12:07:07 PM

GitHub: 5,749 stars · 330 forks

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/promptbase, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    prompt-engineering, large-language-models, llms, gpt, foundation-models, ai, machine-learning, medprompt, benchmarking, prompt-optimization
  • highreadme#2
    Refine the README's opening sentence to emphasize 'framework' and 'systematic evaluation'

    Why:

    CURRENT
    `promptbase` is an evolving collection of resources, best practices, and example scripts for eliciting the best performance from foundation models like `GPT-4`.
    COPY-PASTE FIX
    `promptbase` is a comprehensive framework and evolving collection of resources, best practices, and example scripts for systematic evaluation and eliciting the best performance from foundation models like `GPT-4`.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    Add a URL to a dedicated project page, documentation, or a relevant blog post about `promptbase`.

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/promptbase
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. run-llama/llama_index · recommended 1×
  3. OpenAI API · recommended 1×
  4. deepset-ai/haystack · recommended 1×
  5. weaviate/weaviate · recommended 1×
  • CATEGORY QUERY
    How to improve performance and accuracy of large language models using advanced prompting techniques?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. OpenAI API
    4. Haystack (deepset-ai/haystack)
    5. Weaviate (weaviate/weaviate)
    6. Pinecone
    7. Chroma (chroma-core/chroma)
    8. Hugging Face Transformers (huggingface/transformers)
    9. Weights & Biases (wandb/wandb)
    10. Humanloop
    11. Vellum

    AI recommended 11 alternatives but never named microsoft/promptbase. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find best practices and resources for effective prompt engineering with LLMs?
    you: not recommended
    AI recommended (in order):
    1. OpenAI's Prompt Engineering Guide
    2. DeepLearning.AI's "Prompt Engineering for Developers" Course
    3. Anthropic's "Constitutional AI" and "Prompt Engineering" Papers/Blog Posts
    4. LearnPrompting.org
    5. Google's "Prompt Engineering Guide"
    6. Awesome-Prompt-Engineering GitHub Repository
    7. Hugging Face's Blog and Documentation

    AI recommended 7 alternatives but never named microsoft/promptbase. 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/promptbase?
    pass
    AI named microsoft/promptbase 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/promptbase in production, what risks or prerequisites should they evaluate first?
    pass
    AI named microsoft/promptbase 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/promptbase solve, and who is the primary audience?
    pass
    AI named microsoft/promptbase 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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  • Brand-free category queries5 vs 2 in Lite
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