RRepoGEO

REPOGEO REPORT · LITE

abilzerian/LLM-Prompt-Library

Default branch main · commit bd955706 · scanned 5/29/2026, 8:46:47 PM

GitHub: 1,586 stars · 8 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 abilzerian/LLM-Prompt-Library, 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 the README's opening to emphasize 'enterprise-grade library'

    Why:

    CURRENT
    > **Experimental prompt templates for every major LLM.**

A constantly evolving library of prompts & templates I've been tinkering with since Dec. 2022.
    COPY-PASTE FIX
    > **A comprehensive library of experimental, enterprise-grade prompt templates for major LLMs.**

This constantly evolving collection provides structured Jinja2 templates and prompts, specifically designed for domain-specific applications in finance, legal, medical, and more, developed since Dec. 2022.
  • mediumabout#2
    Refine the 'About' description to highlight 'enterprise-grade library'

    Why:

    CURRENT
    A playground of highly experimental prompts, Jinja2 templates & scripts for machine intelligence models from OpenAI, Anthropic, DeepSeek, Meta, Mistral, Google, xAI & others. Alex Bilzerian (2022-2025).
    COPY-PASTE FIX
    A comprehensive library of highly experimental, enterprise-grade prompts, Jinja2 templates & scripts for machine intelligence models from OpenAI, Anthropic, DeepSeek, Meta, Mistral, Google, xAI & others. Alex Bilzerian (2022-2025).
  • lowtopics#3
    Add specific topics for 'enterprise' and 'domain-specific' LLM applications

    Why:

    CURRENT
    ai-agents, jinja, jinja2-templates, meta-prompting, multimodal, prompt, prompt-engineering, prompt-generator, prompt-injection, prompt-learning, prompt-management, prompt-template, prompt-toolkit, prompt-tuning, promptengineering, prompting, rag, text-analysis
    COPY-PASTE FIX
    ai-agents, enterprise-llm, financial-llm, jinja, jinja2-templates, legal-llm, meta-prompting, medical-llm, multimodal, prompt, prompt-engineering, prompt-generator, prompt-injection, prompt-learning, prompt-management, prompt-template, prompt-toolkit, prompt-tuning, promptengineering, prompting, rag, text-analysis, domain-specific-prompts

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 abilzerian/LLM-Prompt-Library
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 2 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 2×
  2. PromptLayer · recommended 1×
  3. Weights & Biases Prompts · recommended 1×
  4. pallets/jinja · recommended 1×
  5. handlebars-lang/handlebars.js · recommended 1×
  • CATEGORY QUERY
    How can I manage and organize prompt templates for various large language models?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. PromptLayer
    3. Weights & Biases Prompts
    4. Jinja2 (pallets/jinja)
    5. Handlebars.js (handlebars-lang/handlebars.js)
    6. GitHub
    7. GitLab
    8. YAML
    9. JSON

    AI recommended 9 alternatives but never named abilzerian/LLM-Prompt-Library. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a library of Jinja2 prompt templates for enterprise LLM applications like finance or legal.
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Hugging Face Transformers (huggingface/transformers)
    4. OpenAI

    AI recommended 4 alternatives but never named abilzerian/LLM-Prompt-Library. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 abilzerian/LLM-Prompt-Library?
    pass
    AI named abilzerian/LLM-Prompt-Library explicitly

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

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

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

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  • Brand-free category queries5 vs 2 in Lite
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