RRepoGEO

REPOGEO REPORT · LITE

openinterpreter/01

Default branch main · commit befddaf2 · scanned 5/20/2026, 8:52:56 PM

GitHub: 5,117 stars · 530 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
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 openinterpreter/01, 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

2 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 emphasize intelligent device platform and code execution

    Why:

    CURRENT
    <p align="center"><strong>The #1 open-source voice interface.</strong><br>
    COPY-PASTE FIX
    <p align="center"><strong>The open-source platform for intelligent devices that executes code via natural language.</strong><br>
  • mediumreadme#2
    Add explicit use cases for desktop automation and smart device control to the README

    Why:

    CURRENT
    The 'Capabilities' section lists 'Control third-party software' but lacks explicit mention of 'desktop automation' or 'smart device control' as primary use cases.
    COPY-PASTE FIX
    Expand the 'Capabilities' section or add a new 'Use Cases' section in the README to include: 'Desktop Automation: Automate tasks, control applications, and manage files on your computer using voice commands.' and 'Smart Device Control: Integrate with ESP32 and other hardware for natural language interaction with intelligent 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 openinterpreter/01
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Vosk
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Vosk · recommended 2×
  2. Mycroft AI · recommended 2×
  3. Kaldi · recommended 2×
  4. Voiceflow · recommended 1×
  5. Python · recommended 1×
  • CATEGORY QUERY
    How can I implement a voice-activated AI assistant for desktop automation and software control?
    you: not recommended
    AI recommended (in order):
    1. Voiceflow
    2. Python
    3. pyautogui
    4. SpeechRecognition
    5. pyttsx3
    6. gTTS
    7. Selenium
    8. Google Speech Recognition
    9. CMU Sphinx
    10. Vosk
    11. Mycroft AI
    12. Rhino.ai
    13. Picovoice
    14. Jarvis
    15. AutoHotkey
    16. Windows Speech Recognition
    17. Dragon NaturallySpeaking

    AI recommended 17 alternatives but never named openinterpreter/01. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source platforms enable natural language voice interaction for smart devices?
    you: not recommended
    AI recommended (in order):
    1. Mycroft AI
    2. Rhasspy
    3. Porcupine
    4. Snowboy
    5. Kaldi
    6. Vosk
    7. MaryTTS
    8. Coqui TTS
    9. Home Assistant
    10. Amazon Alexa
    11. Google Assistant
    12. OpenHAB
    13. Mozilla DeepSpeech
    14. Coqui STT
    15. Kaldi

    AI recommended 15 alternatives but never named openinterpreter/01. 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 openinterpreter/01?
    pass
    AI did not name openinterpreter/01 — 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?

  • If a team adopts openinterpreter/01 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named openinterpreter/01 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 openinterpreter/01 solve, and who is the primary audience?
    pass
    AI named openinterpreter/01 explicitly

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

Embed your GEO score

Drop this badge into the README of openinterpreter/01. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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openinterpreter/01 — 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