RRepoGEO

REPOGEO REPORT · LITE

MetaWu2077/Esp32_VoiceChat_LLMs

Default branch main · commit 1a6351e6 · scanned 6/3/2026, 4:03:22 PM

GitHub: 806 stars · 172 forks

AI VISIBILITY SCORE
17 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
1 / 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 MetaWu2077/Esp32_VoiceChat_LLMs, 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 README's opening sentence to emphasize project nature

    Why:

    CURRENT
    # Esp32_VoiceChat_LLMs
esp32 based device, mainly used for voice chat with large language models
    COPY-PASTE FIX
    # Esp32_VoiceChat_LLMs
Build your own low-cost, real-time voice chat device using an ESP32 microcontroller and Large Language Models.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    esp32, voice-assistant, llm, embedded, microcontroller, real-time-ai, conversational-ai, diy-electronics
  • highlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Choose and add a standard open-source license file (e.g., MIT, Apache-2.0, GPL-3.0) to the repository root.

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 MetaWu2077/Esp32_VoiceChat_LLMs
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ESP32
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ESP32 · recommended 1×
  2. Raspberry Pi Pico W · recommended 1×
  3. STM32 Microcontrollers · recommended 1×
  4. ESP-01S · recommended 1×
  5. INMP441 · recommended 1×
  • CATEGORY QUERY
    How to build a low-cost voice assistant device using embedded microcontrollers?
    you: not recommended
    AI recommended (in order):
    1. ESP32
    2. Raspberry Pi Pico W
    3. STM32 Microcontrollers
    4. ESP-01S
    5. INMP441
    6. SPH0645LM4H
    7. ICS-43432
    8. ESP-IDF (espressif/esp-idf)
    9. MicroPython (micropython/micropython)
    10. Arduino Core
    11. TensorFlow Lite for Microcontrollers (tensorflow/tensorflow)
    12. Mycroft Precise (MycroftAI/precise)
    13. Picovoice Porcupine (Picovoice/porcupine)
    14. Picovoice Rhino (Picovoice/rhino)
    15. Google Cloud Speech-to-Text
    16. Dialogflow
    17. Amazon Alexa Voice Service (AVS)
    18. AWS Transcribe
    19. Lex
    20. Mozilla DeepSpeech (mozilla/DeepSpeech)

    AI recommended 20 alternatives but never named MetaWu2077/Esp32_VoiceChat_LLMs. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are options for real-time conversational AI on resource-constrained embedded systems?
    you: not recommended
    AI recommended (in order):
    1. TensorFlow Lite
    2. PyTorch Mobile
    3. ONNX Runtime
    4. Edge Impulse
    5. MicroSpeech
    6. DeepSpeech
    7. Snips NLU

    AI recommended 7 alternatives but never named MetaWu2077/Esp32_VoiceChat_LLMs. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 MetaWu2077/Esp32_VoiceChat_LLMs?
    pass
    AI did not name MetaWu2077/Esp32_VoiceChat_LLMs — 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?

  • If a team adopts MetaWu2077/Esp32_VoiceChat_LLMs in production, what risks or prerequisites should they evaluate first?
    pass
    AI named MetaWu2077/Esp32_VoiceChat_LLMs 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 MetaWu2077/Esp32_VoiceChat_LLMs solve, and who is the primary audience?
    pass
    AI did not name MetaWu2077/Esp32_VoiceChat_LLMs — 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?

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MetaWu2077/Esp32_VoiceChat_LLMs — 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