RRepoGEO

REPOGEO REPORT · LITE

FireRedTeam/FireRedChat

Default branch main · commit 9d8c4b99 · scanned 6/13/2026, 7:57:52 PM

GitHub: 542 stars · 45 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 FireRedTeam/FireRedChat, 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
    voice-ai, real-time-communication, text-to-speech, speech-to-text, voice-activity-detection, ai-agents, self-hosted, full-duplex, privacy-focused
  • highreadme#2
    Strengthen README opening to clarify core differentiator

    Why:

    CURRENT
    FireRedChat offers a fully self-hosted solution for building real-time voice AI agents. It integrates robust TTS (Text-to-Speech), ASR (Automatic Speech Recognition), pVAD (Personalized Voice Activity Detection), and EoT (End-of-Turn) functionalities, enabling developers to create customizable, privacy-focused AI agents with:

No reliance on external APIsZero data leakageComplete deployment control**
    COPY-PASTE FIX
    FireRedChat is a comprehensive, fully self-hosted platform for building real-time voice AI agents, distinguishing itself from individual TTS or ASR libraries by providing an integrated, full-duplex interaction system. It combines robust TTS, ASR, pVAD, and EoT functionalities to enable customizable, privacy-focused AI agents with no reliance on external APIs, zero data leakage, and complete deployment control.
  • mediumhomepage#3
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    https://fireredteam.github.io/demos/firered_chat/

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 FireRedTeam/FireRedChat
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
coqui-ai/TTS
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. coqui-ai/TTS · recommended 2×
  2. mozilla/DeepSpeech · recommended 2×
  3. Rhino Speech-to-Text · recommended 1×
  4. Porcupine Wake Word · recommended 1×
  5. ggerganov/llama.cpp · recommended 1×
  • CATEGORY QUERY
    How to build a real-time voice AI assistant with full self-hosting capabilities?
    you: not recommended
    AI recommended (in order):
    1. Rhino Speech-to-Text
    2. Porcupine Wake Word
    3. Coqui TTS (coqui-ai/TTS)
    4. Llama.cpp (ggerganov/llama.cpp)
    5. Ollama (ollama/ollama)
    6. Kaldi
    7. Mycroft Precise (MycroftAI/precise)
    8. PocketSphinx (cmusphinx/pocketsphinx)
    9. MaryTTS (marytts/marytts)
    10. eSpeak NG (espeak-ng/espeak-ng)
    11. Vosk (alphacep/vosk-api)
    12. Mozilla DeepSpeech (mozilla/DeepSpeech)
    13. NVIDIA NeMo (NVIDIA/NeMo)
    14. OpenAI Whisper (openai/whisper)

    AI recommended 14 alternatives but never named FireRedTeam/FireRedChat. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source solutions exist for building a privacy-focused voice interaction system?
    you: not recommended
    AI recommended (in order):
    1. Mycroft AI (MycroftAI/mycroft-core)
    2. Rhasspy (rhasspy/rhasspy)
    3. Mozilla DeepSpeech (mozilla/DeepSpeech)
    4. Coqui TTS (coqui-ai/TTS)
    5. OpenVoiceOS (OpenVoiceOS/OpenVoiceOS)
    6. RASA (RasaHQ/rasa)
    7. Picovoice Porcupine (Picovoice/porcupine)
    8. Picovoice Rhino (Picovoice/rhino)

    AI recommended 8 alternatives but never named FireRedTeam/FireRedChat. 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 FireRedTeam/FireRedChat?
    pass
    AI did not name FireRedTeam/FireRedChat — 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 FireRedTeam/FireRedChat in production, what risks or prerequisites should they evaluate first?
    pass
    AI named FireRedTeam/FireRedChat 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 FireRedTeam/FireRedChat solve, and who is the primary audience?
    pass
    AI named FireRedTeam/FireRedChat explicitly

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

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MARKDOWN (README)
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FireRedTeam/FireRedChat — 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