RRepoGEO

REPOGEO REPORT · LITE

bigscience-workshop/promptsource

Default branch main · commit 7dab96a3 · scanned 5/8/2026, 11:12:11 PM

GitHub: 3,010 stars · 379 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 bigscience-workshop/promptsource, 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 more specific topics to improve categorization

    Why:

    CURRENT
    machine-learning, natural-language-processing, nlp
    COPY-PASTE FIX
    machine-learning, natural-language-processing, nlp, prompt-engineering, llm-prompts, prompt-library, prompt-dataset
  • highreadme#2
    Reposition the README's opening to emphasize unique value

    Why:

    CURRENT
    # PromptSource **PromptSource is a toolkit for creating, sharing and using natural language prompts.**
    COPY-PASTE FIX
    # PromptSource **PromptSource is the definitive toolkit for prompt engineers to systematically create, share, and use natural language prompts, featuring P3: a public pool of thousands of prompts for diverse NLP tasks.**
  • mediumhomepage#3
    Add a homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    https://[your-project-homepage-url-here]

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 bigscience-workshop/promptsource
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Weights & Biases Prompts
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Weights & Biases Prompts · recommended 1×
  2. LangChain · recommended 1×
  3. OpenAI Evals · recommended 1×
  4. Humanloop · recommended 1×
  5. PromptLayer · recommended 1×
  • CATEGORY QUERY
    How can I efficiently design and manage natural language prompts for my LLM experiments?
    you: not recommended
    AI recommended (in order):
    1. Weights & Biases Prompts
    2. LangChain
    3. OpenAI Evals
    4. Humanloop
    5. PromptLayer
    6. Jupyter Notebooks / Google Colab
    7. Git/GitHub

    AI recommended 7 alternatives but never named bigscience-workshop/promptsource. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help apply existing natural language prompts to diverse datasets for NLP tasks?
    you: not recommended
    AI recommended (in order):
    1. Argilla (argilla-io/argilla)
    2. Snorkel Flow
    3. OpenAI API
    4. Hugging Face Transformers (huggingface/transformers)
    5. Prodigy
    6. Label Studio (heartexlabs/label-studio)

    AI recommended 6 alternatives but never named bigscience-workshop/promptsource. 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 bigscience-workshop/promptsource?
    pass
    AI named bigscience-workshop/promptsource explicitly

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

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

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

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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite