RRepoGEO

REPOGEO REPORT · LITE

Eladlev/AutoPrompt

Default branch main · commit 64c1680a · scanned 5/21/2026, 4:46:47 PM

GitHub: 2,974 stars · 263 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)

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

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 Eladlev/AutoPrompt, 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 specific topics for prompt robustness and calibration

    Why:

    CURRENT
    prompt-engineering, prompt-tuning, synthetic-dataset-generation
    COPY-PASTE FIX
    prompt-engineering, prompt-tuning, synthetic-dataset-generation, llm-prompt-optimization, prompt-calibration, prompt-robustness, automated-prompt-engineering
  • mediumhomepage#2
    Add a homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    Add a link to your documentation, project website, or even the GitHub repository itself as the homepage URL in the 'About' section.
  • lowreadme#3
    Refine the README's opening sentence to highlight automated robustness and calibration

    Why:

    CURRENT
    Auto Prompt is a prompt optimization framework designed to enhance and perfect your prompts for real-world use cases.
    COPY-PASTE FIX
    AutoPrompt is an advanced prompt optimization framework that automatically generates, calibrates, and refines high-quality, robust prompts for LLMs, significantly reducing sensitivity and manual engineering effort.

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 Eladlev/AutoPrompt
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. PromptLayer · recommended 2×
  3. Guidance · recommended 1×
  4. DSPy · recommended 1×
  5. Weights & Biases · recommended 1×
  • CATEGORY QUERY
    How can I automatically improve LLM prompt robustness and reduce sensitivity to minor changes?
    you: not recommended
    AI recommended (in order):
    1. Guidance
    2. DSPy
    3. LangChain
    4. PromptLayer
    5. Weights & Biases
    6. Hugging Face Transformers
    7. NLPAug

    AI recommended 7 alternatives but never named Eladlev/AutoPrompt. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help automate prompt engineering and generate synthetic datasets for prompt calibration?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Evals
    2. LangChain
    3. Haystack
    4. Humanloop
    5. PromptLayer
    6. Scale AI
    7. Snorkel AI

    AI recommended 7 alternatives but never named Eladlev/AutoPrompt. 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 Eladlev/AutoPrompt?
    pass
    AI named Eladlev/AutoPrompt explicitly

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

  • If a team adopts Eladlev/AutoPrompt in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Eladlev/AutoPrompt 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 Eladlev/AutoPrompt solve, and who is the primary audience?
    pass
    AI named Eladlev/AutoPrompt 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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Eladlev/AutoPrompt — 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