RRepoGEO

REPOGEO REPORT · LITE

brenpoly/be-more-agent

Default branch main · commit 5fb75580 · scanned 5/31/2026, 2:27:53 PM

GitHub: 874 stars · 163 forks

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 brenpoly/be-more-agent, 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 paragraph to clarify its unique focus

    Why:

    CURRENT
    # Be More Agent 🤖
    **A Customizable, Offline-First AI Agent for Raspberry Pi**
    
    This project turns a Raspberry Pi into a fully functional, conversational AI agent. Unlike cloud-based assistants, this agent runs **100% locally** on your device.
    COPY-PASTE FIX
    # Be More Agent 🤖
    **The ultimate customizable, offline-first AI Agent specifically for Raspberry Pi.**
    
    Unlike general AI agent frameworks, this project transforms your Raspberry Pi into a fully functional, conversational AI agent, designed from the ground up for local, embedded operation. It runs **100% locally** on your device, leveraging technologies like Ollama and Whisper.cpp for complete privacy and autonomy.
  • mediumabout#2
    Enhance the 'About' description with more keywords

    Why:

    CURRENT
    Local AI Agent running on Raspberry Pi
    COPY-PASTE FIX
    A fully offline, customizable conversational AI agent designed for Raspberry Pi, featuring local LLM (Ollama), speech-to-text (Whisper.cpp), and custom wake word capabilities.

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 brenpoly/be-more-agent
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
mycroftai/mycroft-core
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. mycroftai/mycroft-core · recommended 1×
  2. coqui-ai/TTS · recommended 1×
  3. alphacep/vosk-api · recommended 1×
  4. Picovoice/porcupine · recommended 1×
  5. rhasspy/rhasspy · recommended 1×
  • CATEGORY QUERY
    How to build a fully offline conversational AI assistant on a Raspberry Pi?
    you: not recommended
    AI recommended (in order):
    1. Mycroft AI (mycroftai/mycroft-core)
    2. Coqui TTS (coqui-ai/TTS)
    3. Vosk (alphacep/vosk-api)
    4. Picovoice Porcupine (Picovoice/porcupine)
    5. Rhasspy (rhasspy/rhasspy)
    6. Piper (rhasspy/piper)
    7. FuzzyWuzzy (seatgeek/fuzzywuzzy)
    8. OpenFST
    9. Home Assistant (home-assistant/core)
    10. NLTK (nltk/nltk)
    11. scikit-learn (scikit-learn/scikit-learn)
    12. SpaCy (explosion/spaCy)
    13. Picovoice (Picovoice/picovoice)
    14. Rhino (Picovoice/rhino)
    15. Cheetah (Picovoice/cheetah)

    AI recommended 15 alternatives but never named brenpoly/be-more-agent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an open-source local voice assistant with custom wake word and LLM on embedded devices.
    you: not recommended
    AI recommended (in order):
    1. Rhasspy
    2. Kaldi
    3. PicoVoice
    4. Porcupine
    5. Snowboy
    6. Raven
    7. Home Assistant
    8. Llama.cpp
    9. Ollama
    10. Mycroft AI
    11. Precise
    12. Rhino
    13. OpenVoiceOS (OVOS)
    14. Wyoming Protocol
    15. Whisper.cpp
    16. Vosk

    AI recommended 16 alternatives but never named brenpoly/be-more-agent. 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 brenpoly/be-more-agent?
    pass
    AI did not name brenpoly/be-more-agent — 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 brenpoly/be-more-agent in production, what risks or prerequisites should they evaluate first?
    pass
    AI named brenpoly/be-more-agent 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 brenpoly/be-more-agent solve, and who is the primary audience?
    pass
    AI named brenpoly/be-more-agent explicitly

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

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brenpoly/be-more-agent — 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