RRepoGEO

REPOGEO REPORT · LITE

LichAmnesia/GPT-Prompt-Hub

Default branch main · commit b69228ae · scanned 6/26/2026, 7:07:54 AM

GitHub: 2,376 stars · 403 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)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
28 /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
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 LichAmnesia/GPT-Prompt-Hub, 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, llm-prompts, gpt-prompts, ai-prompts, community-driven, structured-prompts, production-prompts
  • highreadme#2
    Strengthen the README's opening to highlight the core differentiator

    Why:

    CURRENT
    Not another 'act as X' dump. Each prompt is a structured brief: **Role / Objective / Inputs / Output / Constraints / Example**. Designed for 2026-class models (Claude 4.x, GPT-5, Gemini 3) — not for 2023 ChatGPT.
    COPY-PASTE FIX
    This isn't just another 'act as X' prompt dump. Our core differentiator is a rigorous, structured methodology: each prompt is a **battle-tested brief** with explicit **Role / Objective / Inputs / Output / Constraints / Example**. Designed for 2026-class models (Claude 4.x, GPT-5, Gemini 3) — not for 2023 ChatGPT.
  • mediumhomepage#3
    Add a homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    https://github.com/LichAmnesia/GPT-Prompt-Hub

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 LichAmnesia/GPT-Prompt-Hub
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI's Prompt Engineering Guide
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI's Prompt Engineering Guide · recommended 1×
  2. Anthropic's Prompt Engineering Guide · recommended 1×
  3. LangChain Hub · recommended 1×
  4. Hugging Face's `transformers` library · recommended 1×
  5. Awesome-LLM-Prompting GitHub Repository · recommended 1×
  • CATEGORY QUERY
    Where can I find battle-tested, production-grade prompts for advanced LLM engineering tasks?
    you: not recommended
    AI recommended (in order):
    1. OpenAI's Prompt Engineering Guide
    2. Anthropic's Prompt Engineering Guide
    3. LangChain Hub
    4. Hugging Face's `transformers` library
    5. Awesome-LLM-Prompting GitHub Repository
    6. Weights & Biases Prompt Engineering Best Practices
    7. DeepLearning.AI's "Prompt Engineering for Developers" Course

    AI recommended 7 alternatives but never named LichAmnesia/GPT-Prompt-Hub. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a community-driven repository of high-quality, structured prompts for diverse AI use cases.
    you: not recommended
    AI recommended (in order):
    1. PromptPerfect
    2. FlowGPT
    3. PromptBase
    4. Hugging Face Hub
    5. GitHub
    6. Reddit

    AI recommended 6 alternatives but never named LichAmnesia/GPT-Prompt-Hub. 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 LichAmnesia/GPT-Prompt-Hub?
    pass
    AI named LichAmnesia/GPT-Prompt-Hub explicitly

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

  • If a team adopts LichAmnesia/GPT-Prompt-Hub in production, what risks or prerequisites should they evaluate first?
    pass
    AI named LichAmnesia/GPT-Prompt-Hub 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 LichAmnesia/GPT-Prompt-Hub solve, and who is the primary audience?
    pass
    AI did not name LichAmnesia/GPT-Prompt-Hub — 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?

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LichAmnesia/GPT-Prompt-Hub — 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