RRepoGEO

REPOGEO REPORT · LITE

fikrikarim/parlor

Default branch main · commit d9b5630b · scanned 6/22/2026, 2:53:05 AM

GitHub: 1,849 stars · 226 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 fikrikarim/parlor, 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 clarify it's a complete application

    Why:

    CURRENT
    # Parlor

On-device, real-time multimodal AI. Have natural voice and vision conversations with an AI that runs entirely on your machine.
    COPY-PASTE FIX
    # Parlor: A Complete On-Device, Real-Time Multimodal AI Assistant

Parlor is a self-contained application that enables natural voice and vision conversations with an AI running entirely on your machine.
  • mediumabout#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://github.com/fikrikarim/parlor#readme
  • lowtopics#3
    Refine topics to emphasize the application nature of the project

    Why:

    CURRENT
    apple-silicon, gemma, kokoro, litert-lm, local-llm, mlx, multimodal, on-device-ai, python, real-time, speech-recognition, text-to-speech, voice-assistant
    COPY-PASTE FIX
    apple-silicon, gemma, kokoro, litert-lm, local-llm, mlx, multimodal, on-device-ai, python, real-time, speech-recognition, text-to-speech, voice-assistant, ai-application, ai-assistant-system, conversational-ai-demo

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 fikrikarim/parlor
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
NVIDIA Jetson Platform
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. NVIDIA Jetson Platform · recommended 1×
  2. NVIDIA JetPack SDK · recommended 1×
  3. CUDA · recommended 1×
  4. cuDNN · recommended 1×
  5. TensorRT · recommended 1×
  • CATEGORY QUERY
    How can I build a real-time, on-device AI assistant with voice and vision capabilities?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA Jetson Platform
    2. NVIDIA JetPack SDK
    3. CUDA
    4. cuDNN
    5. TensorRT
    6. DeepStream
    7. Raspberry Pi
    8. OpenVINO Toolkit
    9. TensorFlow Lite
    10. Qualcomm Snapdragon Processors
    11. Qualcomm Neural Processing SDK (SNPE)
    12. Apple Core ML
    13. Apple Neural Engine
    14. MediaTek AI Platform
    15. MediaTek NeuroPilot SDK
    16. Google Coral Dev Board
    17. Google's Edge TPU
    18. TensorFlow Lite for Microcontrollers
    19. Vosk
    20. DeepSpeech

    AI recommended 20 alternatives but never named fikrikarim/parlor. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What Python libraries enable local, real-time conversational AI with multimodal input?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers (huggingface/transformers)
    2. Optimum (huggingface/optimum)
    3. ONNX Runtime (microsoft/onnxruntime)
    4. llama.cpp (ggerganov/llama.cpp)
    5. llama-cpp-python (abetlen/llama-cpp-python)
    6. Whisper (openai/whisper)
    7. OpenVINO (openvinotoolkit/openvino)
    8. OpenVINO Notebooks (openvinotoolkit/openvino_notebooks)
    9. DeepSpeed (microsoft/DeepSpeed)
    10. PyTorch (pytorch/pytorch)
    11. TorchScript
    12. torch.compile
    13. TensorFlow Lite (tensorflow/tensorflow)
    14. spaCy (explosion/spaCy)
    15. Rasa Open Source (RasaHQ/rasa)

    AI recommended 15 alternatives but never named fikrikarim/parlor. 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 fikrikarim/parlor?
    pass
    AI named fikrikarim/parlor explicitly

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

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

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

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fikrikarim/parlor — 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