RRepoGEO

REPOGEO REPORT · LITE

vellum-ai/vellum-assistant

Default branch main · commit 6363e260 · scanned 6/8/2026, 8:16:31 PM

GitHub: 621 stars · 88 forks

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 vellum-ai/vellum-assistant, 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 the README's opening statement to clarify its core identity

    Why:

    CURRENT
    <p align="center"><b>A personal AI assistant that evolves with you.</b><br>It learns how you work, remembers what matters, and acts before you ask. Yours to name, shape, and extend.</p>
    COPY-PASTE FIX
    # Vellum Assistant: Your Evolving Personal AI for macOS, Slack, and Telegram
    
    This is a fully-featured, open-source personal AI designed to learn, remember, and act proactively within your unique workflow. Unlike generic LLM frameworks or voice assistants, Vellum Assistant provides out-of-the-box memory, personality, and cross-platform integrations.
  • mediumreadme#2
    Clarify the Vellum platform relationship in the README

    Why:

    COPY-PASTE FIX
    Built as a complete, open-source personal AI, Vellum Assistant offers robust memory and personality features, with optional integration to the Vellum platform for advanced prompt management and evaluation.
  • lowcomparison#3
    Add a 'Why Vellum Assistant?' comparison section to the README

    Why:

    COPY-PASTE FIX
    ## Why Vellum Assistant?
    
    Unlike generic LLM frameworks such as LangChain or LlamaIndex, Vellum Assistant is a complete, deployable personal AI solution with built-in memory, personality, and cross-platform integrations. Compared to voice assistants like Mycroft AI or smart home hubs, Vellum Assistant focuses on evolving with your digital workflow, offering proactive assistance and deep contextual understanding.

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 vellum-ai/vellum-assistant
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Mycroft AI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Mycroft AI · recommended 1×
  2. Home Assistant · recommended 1×
  3. Rhasspy · recommended 1×
  4. Jarvis · recommended 1×
  5. Plexus · recommended 1×
  • CATEGORY QUERY
    Looking for an open-source personal AI assistant that integrates with macOS, Slack, and Telegram.
    you: not recommended
    AI recommended (in order):
    1. Mycroft AI
    2. Home Assistant
    3. Rhasspy
    4. Jarvis
    5. Plexus
    6. OpenAssistant

    AI recommended 6 alternatives but never named vellum-ai/vellum-assistant. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to build an intelligent assistant with memory and personality using modern LLM APIs?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI API
    4. Anthropic API
    5. Google Gemini API
    6. Weaviate
    7. Pinecone
    8. FastAPI
    9. Flask

    AI recommended 9 alternatives but never named vellum-ai/vellum-assistant. 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 vellum-ai/vellum-assistant?
    pass
    AI named vellum-ai/vellum-assistant explicitly

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

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

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

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  • Brand-free category queries5 vs 2 in Lite
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