RRepoGEO

REPOGEO REPORT · LITE

hinthornw/promptimizer

Default branch main · commit 2052e812 · scanned 6/3/2026, 3:02:38 AM

GitHub: 899 stars · 64 forks

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 hinthornw/promptimizer, 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-optimization", "llm-prompts", "ai-systems", "langchain", "prompt-engineering", "evaluation", "generative-ai", "machine-learning"]
  • highreadme#2
    Strengthen README H1 and opening sentence for clearer positioning

    Why:

    CURRENT
    # Promptim

Promptim is an experimental **prompt** opt**im**ization library to help you systematically improve your AI systems.
    COPY-PASTE FIX
    # Promptimizer: Automated Prompt Optimization Library

Promptimizer is an experimental library for automated, iterative prompt optimization, designed to systematically improve your AI systems by refining prompts based on datasets and custom evaluators.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/hinthornw/promptimizer

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 hinthornw/promptimizer
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Weights & Biases (W&B) Prompts
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Weights & Biases (W&B) Prompts · recommended 2×
  2. LangChain · recommended 2×
  3. OpenAI Evals · recommended 2×
  4. Humanloop · recommended 2×
  5. PromptLayer · recommended 1×
  • CATEGORY QUERY
    How can I automate the process of optimizing prompts for my AI applications?
    you: not recommended
    AI recommended (in order):
    1. Weights & Biases (W&B) Prompts
    2. LangChain
    3. OpenAI Evals
    4. Humanloop
    5. PromptLayer
    6. Guidance (Microsoft)
    7. Jinja2
    8. OpenAI
    9. Anthropic
    10. rouge-score
    11. bert-score
    12. MLflow

    AI recommended 12 alternatives but never named hinthornw/promptimizer. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to automatically refine and evaluate large language model prompts using a dataset?
    you: not recommended
    AI recommended (in order):
    1. PromptPerfect
    2. Weights & Biases (W&B) Prompts
    3. LangChain
    4. OpenAI Evals
    5. Humanloop
    6. Guardrails AI
    7. Galileo Evaluate

    AI recommended 7 alternatives but never named hinthornw/promptimizer. 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 hinthornw/promptimizer?
    pass
    AI named hinthornw/promptimizer explicitly

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

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

Drop this badge into the README of hinthornw/promptimizer. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/hinthornw/promptimizer.svg)](https://repogeo.com/en/r/hinthornw/promptimizer)
HTML
<a href="https://repogeo.com/en/r/hinthornw/promptimizer"><img src="https://repogeo.com/badge/hinthornw/promptimizer.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

hinthornw/promptimizer — 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