RRepoGEO

REPOGEO REPORT · LITE

runebookai/tome

Default branch main · commit 1d6d6c06 · scanned 6/10/2026, 2:02:12 PM

GitHub: 620 stars · 42 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 runebookai/tome, 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
    Reposition README H1 and opening paragraph for clearer categorization

    Why:

    CURRENT
    # Tome - Magical AI Spellbook
    
    <p align="center">
        <code>a magical desktop app that lets you chat with local or remote LLMs, schedule hourly or daily tasks, all superpowered by MCP</code>
    </p>
    
    ...
    
    # Tome
    
    Tome is a desktop app that lets **anyone** harness the magic of LLMs and MCP.
    COPY-PASTE FIX
    # Tome: The Magical Desktop LLM Client for Task Automation
    
    Tome is a powerful desktop application designed for **anyone** to easily interact with local or remote LLMs, manage, and schedule AI-powered tasks. Supercharged by the Model Context Protocol (MCP), Tome transforms your computer into a magical AI spellbook, enabling you to chat, automate, and integrate LLMs with thousands of tools.
  • mediumtopics#2
    Add more specific topics for desktop apps and task automation

    Why:

    CURRENT
    gemini, llm, llm-client, llms, local-llm, localai, mcp, mcp-client, mcp-clients, no-code, ollama, openai, qwen3
    COPY-PASTE FIX
    gemini, llm, llm-client, llms, local-llm, localai, mcp, mcp-client, mcp-clients, no-code, ollama, openai, qwen3, desktop-app, task-automation, llm-automation, ai-assistant, personal-ai
  • lowreadme#3
    Add a 'Key Features' section to the README

    Why:

    COPY-PASTE FIX
    ## Key Features
    
    *   **Universal LLM Connectivity:** Connect to any local LLM (Ollama, LocalAI) or remote LLM (OpenAI, Gemini, Qwen3).
    *   **MCP Integration:** Access thousands of tools and services via the Model Context Protocol for enhanced AI capabilities.
    *   **AI Task Scheduling:** Easily set up and manage hourly or daily AI-powered tasks and automations.
    *   **User-Friendly Desktop App:** A magical interface designed for **anyone** to harness LLMs, no coding required.
    *   **Privacy-Focused Options:** Run 100% local and private with local LLMs and MCP servers.

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 runebookai/tome
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LM Studio
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LM Studio · recommended 2×
  2. Ollama · recommended 2×
  3. Jan · recommended 2×
  4. LocalAI · recommended 1×
  5. GPT4All · recommended 1×
  • CATEGORY QUERY
    What desktop application provides a simple interface for local LLMs and tool access?
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Ollama
    3. Jan
    4. LocalAI
    5. GPT4All

    AI recommended 5 alternatives but never named runebookai/tome. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to easily manage and schedule tasks using local LLMs on a personal computer?
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. todo.txt-python
    3. schedule
    4. APScheduler
    5. Ollama
    6. LangChain
    7. TaskWarrior
    8. Todoist CLI
    9. Jan
    10. LocalGPT
    11. PrivateGPT
    12. Continue.dev
    13. Todoist
    14. Microsoft To Do
    15. Notion

    AI recommended 15 alternatives but never named runebookai/tome. 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 runebookai/tome?
    pass
    AI named runebookai/tome explicitly

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

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

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

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runebookai/tome — 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