RRepoGEO

REPOGEO REPORT · LITE

Mentra-Community/MentraOS

Default branch dev · commit a01b0452 · scanned 5/17/2026, 3:17:13 AM

GitHub: 1,962 stars · 270 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
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 Mentra-Community/MentraOS, 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
    Add a concise introductory paragraph to the README

    Why:

    COPY-PASTE FIX
    MentraOS is the open-source operating system and SDK for building powerful applications on smart glasses. It provides a complete platform for developers to integrate features like real-time streaming, conversational AI, and hands-free photo/audio capture across compatible smart glasses devices.
  • mediumreadme#2
    Add a 'Key Features' section to the README

    Why:

    COPY-PASTE FIX
    ## Key Features
*   **Smart Glasses Operating System:** A robust open-source OS designed specifically for wearable smart glasses.
*   **Comprehensive SDK:** Tools and APIs for developers to build custom applications.
*   **Real-time Streaming:** Stream your view directly from compatible smart glasses.
*   **Conversational AI Integration:** Talk to AI and transcribe audio hands-free.
*   **Hands-free Capture:** Capture photos and audio effortlessly.
*   **Device Compatibility:** Supports a growing list of smart glasses, including Even Realities G1, Mentra Mach 1, and Mentra Live.
  • mediumcomparison#3
    Add a 'Why MentraOS?' or 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    ## Why MentraOS?
Unlike generic AR/VR SDKs or computer vision libraries, MentraOS provides a complete, open-source operating system and platform specifically engineered for smart glasses. This means developers get a unified environment for building and deploying applications, rather than just a component. We focus on seamless integration of hardware capabilities, real-time data processing, and AI services directly on wearable devices.

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 Mentra-Community/MentraOS
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Unity OpenXR Plugin
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Unity OpenXR Plugin · recommended 1×
  2. Google ARCore SDK · recommended 1×
  3. Meta OpenXR SDK · recommended 1×
  4. Monado · recommended 1×
  5. OpenCV · recommended 1×
  • CATEGORY QUERY
    What open-source SDKs are available for building applications on smart glasses platforms?
    you: not recommended
    AI recommended (in order):
    1. Unity OpenXR Plugin
    2. Google ARCore SDK
    3. Meta OpenXR SDK
    4. Monado
    5. OpenCV
    6. ARToolKit

    AI recommended 6 alternatives but never named Mentra-Community/MentraOS. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I integrate conversational AI and real-time streaming into wearable devices?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud AI Platform
    2. Dialogflow ES/CX
    3. MediaPipe (google/mediapipe)
    4. Google Cloud Speech-to-Text
    5. Google Cloud Text-to-Speech
    6. Google Cloud IoT Core
    7. Pub/Sub
    8. AWS Amplify
    9. Amazon Lex
    10. AWS IoT Core
    11. Amazon Kinesis
    12. Amazon Polly
    13. AWS Transcribe
    14. Microsoft Azure IoT Hub
    15. Azure Bot Service
    16. Language Understanding - LUIS
    17. Azure Stream Analytics
    18. Azure Cognitive Services (Speech Service)
    19. TensorFlow Lite (tensorflow/tensorflow)
    20. MQTT
    21. Snips
    22. Snips NLU (snips-nlu/snips-nlu)
    23. Snips ASR (snips-asr/snips-asr)
    24. Rasa (RasaHQ/rasa)
    25. Mycroft AI (MycroftAI/mycroft-core)

    AI recommended 25 alternatives but never named Mentra-Community/MentraOS. 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 Mentra-Community/MentraOS?
    pass
    AI named Mentra-Community/MentraOS explicitly

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

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

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

Embed your GEO score

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MARKDOWN (README)
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HTML
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Mentra-Community/MentraOS — 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