RRepoGEO

REPOGEO REPORT · LITE

hkjarral/AVA-AI-Voice-Agent-for-Asterisk

Default branch main · commit f5fa0a31 · scanned 5/24/2026, 2:56:51 AM

GitHub: 1,047 stars · 214 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 hkjarral/AVA-AI-Voice-Agent-for-Asterisk, 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 to improve categorization

    Why:

    COPY-PASTE FIX
    asterisk, voip, pbx, ai-voice-agent, generative-ai, llm, stt, tts, telephony, open-source, real-time-ai, conversational-ai
  • highabout#2
    Refine repository description for clarity and keywords

    Why:

    CURRENT
    An open-source AI Voice Agent that integrates with Asterisk/FreePBX using Audiosocket/RTP technology
    COPY-PASTE FIX
    The most powerful, flexible open-source AI Voice Agent for Asterisk/FreePBX, featuring modular STT, LLM, and TTS integration for real-time conversational AI via Audiosocket/RTP.
  • mediumhomepage#3
    Add project homepage URL

    Why:

    COPY-PASTE FIX
    https://deepwiki.com/hkjarral/Asterisk-AI-Voice-Agent

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 hkjarral/AVA-AI-Voice-Agent-for-Asterisk
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Rasa
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Rasa · recommended 2×
  2. Google Cloud Dialogflow · recommended 1×
  3. Google Cloud Speech-to-Text · recommended 1×
  4. Google Cloud Text-to-Speech · recommended 1×
  5. Amazon Lex · recommended 1×
  • CATEGORY QUERY
    How to add an AI voice assistant to my Asterisk PBX system?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Dialogflow
    2. Google Cloud Speech-to-Text
    3. Google Cloud Text-to-Speech
    4. Amazon Lex
    5. Amazon Transcribe
    6. Amazon Polly
    7. Microsoft Azure Bot Service
    8. Azure Speech-to-Text
    9. Azure Text-to-Speech
    10. OpenAI Whisper
    11. OpenAI GPT
    12. ElevenLabs
    13. Rhino Speech-to-Text (Picovoice)
    14. Rasa
    15. MaryTTS
    16. Coqui TTS

    AI recommended 16 alternatives but never named hkjarral/AVA-AI-Voice-Agent-for-Asterisk. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best open-source AI voice agents for enterprise telephony systems?
    you: not recommended
    AI recommended (in order):
    1. Rasa
    2. Mycroft AI
    3. Mozilla DeepSpeech
    4. Coqui STT
    5. OpenVocalize
    6. Asterisk

    AI recommended 6 alternatives but never named hkjarral/AVA-AI-Voice-Agent-for-Asterisk. 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 hkjarral/AVA-AI-Voice-Agent-for-Asterisk?
    pass
    AI named hkjarral/AVA-AI-Voice-Agent-for-Asterisk explicitly

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

  • If a team adopts hkjarral/AVA-AI-Voice-Agent-for-Asterisk in production, what risks or prerequisites should they evaluate first?
    pass
    AI named hkjarral/AVA-AI-Voice-Agent-for-Asterisk 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 hkjarral/AVA-AI-Voice-Agent-for-Asterisk solve, and who is the primary audience?
    pass
    AI did not name hkjarral/AVA-AI-Voice-Agent-for-Asterisk — 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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