RRepoGEO

REPOGEO REPORT · LITE

YuxinWenRick/hard-prompts-made-easy

Default branch main · commit f22a1bec · scanned 6/14/2026, 7:52:33 AM

GitHub: 647 stars · 58 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
2 / 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 YuxinWenRick/hard-prompts-made-easy, 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
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    Official implementation of 'Hard Prompts Made Easy', a framework for gradient-based discrete optimization for prompt tuning and discovery in generative AI.
  • hightopics#2
    Add specific, technical topics

    Why:

    COPY-PASTE FIX
    prompt-tuning, prompt-optimization, generative-ai, stable-diffusion, clip, gradient-descent, discrete-optimization, machine-learning, deep-learning, pez-algorithm
  • mediumhomepage#3
    Set the repository homepage to the Hugging Face Space

    Why:

    COPY-PASTE FIX
    https://huggingface.co/spaces/tomg-group-umd/pez-dispenser

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 YuxinWenRick/hard-prompts-made-easy
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
PromptBase
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. PromptBase · recommended 1×
  2. PromptHero · recommended 1×
  3. Lexica.art · recommended 1×
  4. huggingface/diffusers · recommended 1×
  5. OpenAI API · recommended 1×
  • CATEGORY QUERY
    How can I automatically discover and optimize text prompts for AI image generation?
    you: not recommended
    AI recommended (in order):
    1. PromptBase
    2. PromptHero
    3. Lexica.art
    4. Hugging Face Diffusers (huggingface/diffusers)
    5. OpenAI API
    6. DreamStudio
    7. InvokeAI (invoke-ai/InvokeAI)
    8. LangChain (langchain-ai/langchain)
    9. LlamaIndex (run-llama/llama_index)

    AI recommended 9 alternatives but never named YuxinWenRick/hard-prompts-made-easy. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What libraries offer gradient-based discrete optimization for prompt tuning in generative AI?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. PyTorch
    3. torch.distributions.Categorical
    4. RLlib
    5. Acme
    6. TensorFlow
    7. Keras
    8. OpenAI Gym

    AI recommended 8 alternatives but never named YuxinWenRick/hard-prompts-made-easy. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 YuxinWenRick/hard-prompts-made-easy?
    pass
    AI named YuxinWenRick/hard-prompts-made-easy explicitly

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

  • If a team adopts YuxinWenRick/hard-prompts-made-easy in production, what risks or prerequisites should they evaluate first?
    pass
    AI named YuxinWenRick/hard-prompts-made-easy 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 YuxinWenRick/hard-prompts-made-easy solve, and who is the primary audience?
    pass
    AI did not name YuxinWenRick/hard-prompts-made-easy — likely talking about a different project

    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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YuxinWenRick/hard-prompts-made-easy — 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