RRepoGEO

REPOGEO REPORT · LITE

Roy3838/Observer

Default branch main · commit 3e4a69a4 · scanned 5/21/2026, 8:12:11 PM

GitHub: 1,364 stars · 106 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
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 Roy3838/Observer, 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
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    Build powerful, private micro-agents that observe screen, camera, and audio using local LLMs to automate tasks and react to real-time multimodal input.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    ai-agents, multimodal-ai, local-llms, privacy, automation, screen-capture, audio-processing, computer-vision, agent-framework
  • mediumhomepage#3
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    https://roy3838.github.io/observer-ai

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 Roy3838/Observer
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 2×
  2. Significant-Gravitas/AutoGPT · recommended 2×
  3. huggingface/transformers · recommended 2×
  4. OpenAI GPT-4o · recommended 1×
  5. GPT-4 with Vision · recommended 1×
  • CATEGORY QUERY
    How to build AI agents that observe screen, camera, and audio to automate tasks?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4o
    2. GPT-4 with Vision
    3. OpenAI Whisper (openai/whisper)
    4. mss (python-mss/mss)
    5. Pillow (python-pillow/Pillow)
    6. OpenCV (opencv/opencv)
    7. pyautogui (asweigart/pyautogui)
    8. Microsoft Copilot Stack
    9. Azure AI Services
    10. Power Automate Desktop
    11. Azure AI Vision
    12. Azure AI Speech
    13. Azure Logic Apps
    14. LangChain (langchain-ai/langchain)
    15. LLaVA (haotian-liu/LLaVA)
    16. CogVLM (THUDM/CogVLM)
    17. Google Speech-to-Text
    18. Selenium (SeleniumHQ/selenium)
    19. AutoGPT (Significant-Gravitas/AutoGPT)
    20. BabyAGI (yoheinakajima/babyagi)
    21. Robocorp (robocorp/rpaframework)
    22. Google Cloud Vision
    23. AWS Rekognition
    24. PyAudio (PyAudio/PyAudio)
    25. SpeechRecognition (Uberi/speech_recognition)
    26. requests (psf/requests)
    27. Hugging Face Transformers (huggingface/transformers)
    28. CMU Sphinx (cmusphinx/pocketsphinx)

    AI recommended 28 alternatives but never named Roy3838/Observer. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a framework for private AI agents using local LLMs and real-time multimodal input.
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex (run-llama/llama_index)
    2. LangChain (langchain-ai/langchain)
    3. Haystack (deepset-ai/haystack)
    4. Open Interpreter (OpenInterpreter/Open-Interpreter)
    5. AgentVerse (OpenBMB/AgentVerse)
    6. AutoGPT (Significant-Gravitas/AutoGPT)
    7. Transformers (huggingface/transformers)

    AI recommended 7 alternatives but never named Roy3838/Observer. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 Roy3838/Observer?
    pass
    AI named Roy3838/Observer explicitly

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

  • If a team adopts Roy3838/Observer in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Roy3838/Observer 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 Roy3838/Observer solve, and who is the primary audience?
    pass
    AI named Roy3838/Observer explicitly

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

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Roy3838/Observer — 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