RRepoGEO

REPOGEO REPORT · LITE

insaaniManav/prompt-forge

Default branch main · commit 315e10a1 · scanned 6/5/2026, 6:18:14 PM

GitHub: 776 stars · 76 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 insaaniManav/prompt-forge, 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
    ai-prompts, prompt-engineering, llm-evaluation, prompt-testing, ai-tools, go, golang
  • mediumreadme#2
    Refine README's opening sentence for stronger keyword matching

    Why:

    CURRENT
    **The AI prompt engineering workbench that generates, analyzes, and systematically tests prompts**

Stop writing prompts from scratch. Let AI help you craft better prompts, then systematically validate them. Built with Go for speed and reliability.
    COPY-PASTE FIX
    **The AI prompt engineering workbench for crafting, systematically testing, and evaluating prompts**

Stop writing prompts from scratch. Let AI help you craft, analyze, and systematically validate prompts for better performance. Built with Go for speed and reliability.
  • mediumreadme#3
    Add a 'How PromptForge Stands Apart' section to the README

    Why:

    COPY-PASTE FIX
    ### How PromptForge Stands Apart

Unlike many general-purpose LLM libraries or prompt management tools, PromptForge offers an **opinionated, structured framework for managing, validating, and testing LLM prompts**. We emphasize **Robust Validation**, leveraging Pydantic for both prompt input parameter validation and expected LLM output schemas, bringing true engineering discipline to prompt development.

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 insaaniManav/prompt-forge
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 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Weights & Biases Prompts · recommended 2×
  2. Humanloop · recommended 2×
  3. LangChain · recommended 1×
  4. OpenAI Evals · recommended 1×
  5. PromptLayer · recommended 1×
  • CATEGORY QUERY
    How can I systematically test and evaluate AI prompts for better performance?
    you: not recommended
    AI recommended (in order):
    1. Weights & Biases Prompts
    2. LangChain
    3. OpenAI Evals
    4. Humanloop
    5. PromptLayer
    6. DeepEval
    7. Jupyter Notebooks
    8. pandas
    9. scikit-learn
    10. openai
    11. anthropic

    AI recommended 11 alternatives but never named insaaniManav/prompt-forge. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help generate, analyze, and optimize AI prompts with engineering discipline?
    you: not recommended
    AI recommended (in order):
    1. Weights & Biases Prompts
    2. LangChain (langchain-ai/langchain)
    3. OpenAI Playground / Azure OpenAI Studio
    4. Humanloop
    5. Guidance (microsoft/guidance)
    6. openai (openai/openai-python)
    7. anthropic (anthropics/anthropic-sdk-python)
    8. transformers (huggingface/transformers)

    AI recommended 8 alternatives but never named insaaniManav/prompt-forge. 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 insaaniManav/prompt-forge?
    pass
    AI named insaaniManav/prompt-forge explicitly

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

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

    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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insaaniManav/prompt-forge — 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