RRepoGEO

REPOGEO REPORT · LITE

bigscience-workshop/promptsource

Default branch main · commit 7dab96a3 · scanned 6/18/2026, 5:56:34 PM

GitHub: 3,025 stars · 379 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 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
  • highreadme#1
    Reposition README opening to differentiate from LLM frameworks

    Why:

    CURRENT
    PromptSource is a toolkit for creating, sharing and using natural language prompts.
    COPY-PASTE FIX
    PromptSource is a specialized toolkit for **systematically creating, sharing, and managing natural language prompts as structured datasets**, designed for researchers and engineers working with large language models. Unlike general LLM orchestration frameworks, PromptSource focuses on the lifecycle of prompt development and curation, providing a public pool of prompts (P3) and tools to build your own.
  • mediumtopics#2
    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, large-language-models, llm, prompt-datasets, prompt-management
  • lowhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    Add a link to the official project homepage or documentation portal (e.g., `https://promptsource.org` or `https://huggingface.co/bigscience/promptsource`).

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
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. PromptFlow · recommended 1×
  4. Haystack · recommended 1×
  5. DSPy · recommended 1×
  • CATEGORY QUERY
    What are the best practices and tools for creating effective natural language prompts?
    you: not recommended
    Show full AI answer
  • CATEGORY QUERY
    Seeking a framework to apply prompts and enhance zero-shot performance of large language models.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. PromptFlow
    4. Haystack
    5. DSPy
    6. Guidance

    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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bigscience-workshop/promptsource — 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