RRepoGEO

REPOGEO REPORT · LITE

KoljaB/Linguflex

Default branch main · commit 67d03692 · scanned 6/7/2026, 8:26:43 AM

GitHub: 810 stars · 79 forks

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 KoljaB/Linguflex, 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's opening statement to clarify project type

    Why:

    CURRENT
    Bringing the sci-fi dream of a capable Jarvis-style AI companion into reality.
    COPY-PASTE FIX
    Linguflex is an open-source framework for building advanced, voice-controlled personal AI assistants capable of human-like interaction and deep integration with external tools and smart home devices.
  • hightopics#2
    Add more descriptive topics to improve category visibility

    Why:

    CURRENT
    chatbot, function-calling, openai, openai-api, python
    COPY-PASTE FIX
    voice-assistant, personal-ai, smart-home-integration, multi-agent-system, ai-framework, chatbot, function-calling, openai, openai-api, python
  • highlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with the text of an appropriate open-source license, such as MIT License, to clearly define usage rights.

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 KoljaB/Linguflex
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Cloud Speech-to-Text
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Speech-to-Text · recommended 2×
  2. OpenAI API · recommended 1×
  3. OpenAI Whisper API · recommended 1×
  4. langchain-ai/langchain · recommended 1×
  5. Google Cloud Dialogflow ES/CX · recommended 1×
  • CATEGORY QUERY
    How to build a voice-controlled AI assistant with external tool integration?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. OpenAI Whisper API
    3. LangChain (langchain-ai/langchain)
    4. Google Cloud Dialogflow ES/CX
    5. Google Cloud Speech-to-Text
    6. Google Cloud Functions
    7. App Engine
    8. Amazon Lex
    9. Amazon Polly
    10. AWS Lambda
    11. Rasa (RasaHQ/rasa)
    12. Vosk (alphacep/vosk-api)
    13. Mozilla DeepSpeech (mozilla/DeepSpeech)
    14. Microsoft Azure Bot Service
    15. Azure Cognitive Services (Speech)
    16. Azure Functions
    17. Mycroft AI (MycroftAI/mycroft-core)
    18. Adapt (MycroftAI/adapt)
    19. Padac Paring (MycroftAI/padac)

    AI recommended 19 alternatives but never named KoljaB/Linguflex. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Python library for creating customizable conversational AI with voice interaction capabilities?
    you: not recommended
    AI recommended (in order):
    1. Rasa
    2. Google Cloud Speech-to-Text
    3. Google Cloud Text-to-Speech
    4. AWS Polly
    5. AWS Transcribe
    6. Azure Cognitive Services Speech
    7. DeepPavlov
    8. OpenAI GPT-3
    9. OpenAI GPT-4
    10. Mycroft AI
    11. Adapt
    12. Padatious
    13. Coqui TTS
    14. Mozilla DeepSpeech
    15. SpeechRecognition
    16. gTTS
    17. NLTK
    18. SpaCy

    AI recommended 18 alternatives but never named KoljaB/Linguflex. 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 KoljaB/Linguflex?
    pass
    AI named KoljaB/Linguflex explicitly

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

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

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

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KoljaB/Linguflex — 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