RRepoGEO

REPOGEO REPORT · LITE

PromtEngineer/Verbi

Default branch main · commit 916c2427 · scanned 6/18/2026, 5:33:10 PM

GitHub: 1,122 stars · 217 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 PromtEngineer/Verbi, 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
    Clarify the project's core identity as a modular R&D voice assistant in the README's opening.

    Why:

    CURRENT
    Welcome to the Voice Assistant project! 🎙️ Our goal is to create a modular voice assistant application that allows you to experiment with state-of-the-art (SOTA) models for various components.
    COPY-PASTE FIX
    Verbi is a modular voice assistant application designed for research and development, allowing you to experiment with state-of-the-art transcription, response generation, and text-to-speech models. It provides a flexible platform to easily test and compare different SOTA models.
  • hightopics#2
    Add specific topics to improve categorization.

    Why:

    COPY-PASTE FIX
    voice-assistant, speech-to-text, text-to-speech, llm, generative-ai, research-and-development, modular-design, openai-api, groq-api, deepgram-api, ollama
  • mediumhomepage#3
    Add a homepage URL to the repository metadata.

    Why:

    COPY-PASTE FIX
    https://github.com/PromtEngineer/Verbi

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 PromtEngineer/Verbi
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Hugging Face Transformers
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Hugging Face Transformers · recommended 1×
  2. ¡ß Accelerate · recommended 1×
  3. Google Colaboratory (Colab) · recommended 1×
  4. Google Cloud AI Platform Notebooks · recommended 1×
  5. OpenAI API · recommended 1×
  • CATEGORY QUERY
    What tools help experiment with various SOTA transcription, generation, and text-to-speech models?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. ¡ß Accelerate
    3. Google Colaboratory (Colab)
    4. Google Cloud AI Platform Notebooks
    5. OpenAI API
    6. DeepMind's JAX
    7. Flax
    8. Fairseq
    9. PyTorch
    10. TensorFlow
    11. RunwayML
    12. replicate.com

    AI recommended 12 alternatives but never named PromtEngineer/Verbi. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a modular voice assistant framework supporting both cloud APIs and local LLM integration for R&D.
    you: not recommended
    AI recommended (in order):
    1. Rasa Open Source
    2. Mycroft AI
    3. Mozilla DeepSpeech
    4. Coqui STT
    5. OpenVoiceOS (OVOS)
    6. Picovoice
    7. Home Assistant

    AI recommended 7 alternatives but never named PromtEngineer/Verbi. 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 PromtEngineer/Verbi?
    pass
    AI named PromtEngineer/Verbi explicitly

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

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

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

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PromtEngineer/Verbi — 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