RRepoGEO

REPOGEO REPORT · LITE

bolna-ai/bolna

Default branch master · commit 0c020e5d · scanned 6/15/2026, 7:17:08 AM

GitHub: 670 stars · 299 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 bolna-ai/bolna, 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
    Reposition the README H1 and opening paragraph to clearly state the core offering

    Why:

    CURRENT
    <h1 align="center">
    </h1>
    <p align="center">
      <p align="center"><b>End-to-end open-source voice agents platform</b>: Quickly build voice firsts conversational assistants through a json. </p>
    </p>
    COPY-PASTE FIX
    <h1 align="center">Bolna: End-to-End Open-Source Framework for LLM-Based Voice AI Agents</h1>
    <p align="center">
      <b>Bolna is a production-ready framework for quickly building LLM-based voice-driven conversational applications and real-time AI agents.</b>
    </p>
  • mediumtopics#2
    Add more specific topics to clarify the framework's scope

    Why:

    CURRENT
    agentic-ai, agents, ai-agents, cartesia, conversational-ai, deepgram, deepseek, deepseek-chat, elevenlabs, function-calling, gpt-4, llama, openai, plivo, twilio, voice-agents, voice-ai-agents, voice-assistant, whisper
    COPY-PASTE FIX
    agentic-ai, agents, ai-agents, cartesia, conversational-ai, deepgram, deepseek, deepseek-chat, elevenlabs, function-calling, gpt-4, llama, openai, plivo, twilio, voice-agents, voice-ai-agents, voice-assistant, whisper, voice-ai-framework, real-time-ai, llm-orchestration, full-duplex-voice, open-source-ai
  • lowreadme#3
    Add a 'Why Bolna?' or 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    ## Why Bolna? (Comparison & Differentiators)
    
    Bolna stands out as an **open-source, end-to-end framework** specifically designed for building **real-time, full-duplex voice AI agents**. While other tools offer components (like Whisper for ASR, Coqui TTS for TTS, or vLLM for LLM inference) or commercial platforms (like Dialogflow CX, Amazon Lex, NVIDIA Riva), Bolna provides the complete orchestration layer to seamlessly integrate these, enabling natural, low-latency voice conversations with interruption handling. Unlike many closed-source solutions, Bolna offers full transparency and control over your voice AI stack.

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 bolna-ai/bolna
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Rasa
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Rasa · recommended 1×
  2. Coqui TTS · recommended 1×
  3. Whisper · recommended 1×
  4. Llama.cpp · recommended 1×
  5. vLLM · recommended 1×
  • CATEGORY QUERY
    How can I build an open-source, production-ready voice AI assistant using LLMs?
    you: not recommended
    AI recommended (in order):
    1. Rasa
    2. Coqui TTS
    3. Whisper
    4. Llama.cpp
    5. vLLM
    6. FastAPI
    7. Mycroft AI
    8. LangChain
    9. LlamaIndex
    10. OpenVoiceOS
    11. Mozilla DeepSpeech
    12. Hugging Face Transformers

    AI recommended 12 alternatives but never named bolna-ai/bolna. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks exist for orchestrating real-time conversational voice interactions with AI models?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA Riva
    2. Google Cloud Dialogflow CX
    3. Google Speech-to-Text
    4. Google Text-to-Speech
    5. Amazon Lex
    6. Amazon Transcribe
    7. Amazon Polly
    8. Microsoft Azure Bot Service
    9. Azure Speech Services
    10. Kaldi (kaldi-asr/kaldi)
    11. OpenAI Whisper (openai/whisper)
    12. Rasa (RasaHQ/rasa)
    13. Mycroft Mimic 3 (MycroftAI/mimic3)
    14. Mozilla TTS (mozilla/TTS)

    AI recommended 14 alternatives but never named bolna-ai/bolna. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 bolna-ai/bolna?
    pass
    AI named bolna-ai/bolna explicitly

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

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

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

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bolna-ai/bolna — 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