RRepoGEO

REPOGEO REPORT · LITE

RunanywhereAI/RCLI

Default branch main · commit b73a9682 · scanned 6/21/2026, 12:32:08 PM

GitHub: 1,523 stars · 82 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 RunanywhereAI/RCLI, 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
  • highhomepage#1
    Update the homepage URL to a product-focused page

    Why:

    CURRENT
    https://github.com/RunanywhereAI/runanywhere-sdks
    COPY-PASTE FIX
    Update the homepage URL to point to a dedicated product page or a more appropriate user-focused landing page for RCLI. If RCLI is intended to be part of an SDK, clarify this relationship directly in the README.
  • highreadme#2
    Strengthen the README's initial user-focused positioning

    Why:

    COPY-PASTE FIX
    Add a concise, user-focused introductory sentence or paragraph immediately after the main title/logo, before any technical details or 'Powered by' sections. This should clearly state RCLI's identity as a complete, privacy-focused voice AI assistant for macOS users, emphasizing 'no cloud, no API keys'. For example: 'RCLI is the ultimate on-device voice AI assistant for macOS users. Talk to your Mac, query your documents, and control apps with complete privacy – no cloud, no API keys, just powerful local AI.'
  • mediumreadme#3
    Add a comparison section to differentiate RCLI from alternatives

    Why:

    COPY-PASTE FIX
    Add a new section titled 'Why RCLI? (Compared to X, Y, Z)' or 'RCLI vs. Other Local AI Tools' that highlights how RCLI provides a complete, integrated, user-ready experience on macOS, unlike component libraries or general-purpose tools. For example: 'Unlike component libraries like Whisper.cpp or Llama.cpp, RCLI is a complete, user-ready voice AI assistant for macOS, integrating STT, LLM, TTS, and VLM into a single, seamless experience. It's not a developer tool for building AI, but a powerful application for *using* AI locally, with no cloud dependencies or API keys, offering direct macOS app control and local RAG out-of-the-box.'

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 RunanywhereAI/RCLI
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ggerganov/whisper.cpp
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ggerganov/whisper.cpp · recommended 1×
  2. ggerganov/llama.cpp · recommended 1×
  3. Mac's Built-in Text-to-Speech · recommended 1×
  4. Voice Control · recommended 1×
  5. OpenInterpreter/Open-Interpreter · recommended 1×
  • CATEGORY QUERY
    What are the best options for a completely on-device voice AI assistant for macOS?
    you: not recommended
    AI recommended (in order):
    1. Whisper.cpp (ggerganov/whisper.cpp)
    2. Llama.cpp (ggerganov/llama.cpp)
    3. Mac's Built-in Text-to-Speech
    4. Voice Control
    5. Open Interpreter (OpenInterpreter/Open-Interpreter)
    6. Ollama (ollama/ollama)
    7. Perplexity Desktop App

    AI recommended 7 alternatives but never named RunanywhereAI/RCLI. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I find a local AI assistant to query documents and control macOS apps?
    you: not recommended
    AI recommended (in order):
    1. ChatGPT Desktop App
    2. Zapier
    3. IFTTT
    4. Raycast AI
    5. MacWhisper
    6. Ollama
    7. LM Studio
    8. Keyboard Maestro
    9. OpenAI's API
    10. Alfred

    AI recommended 10 alternatives but never named RunanywhereAI/RCLI. 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 RunanywhereAI/RCLI?
    pass
    AI named RunanywhereAI/RCLI explicitly

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

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

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

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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite