RRepoGEO

REPOGEO REPORT · LITE

gluonfield/enchanted

Default branch main · commit 2f82ee25 · scanned 5/27/2026, 2:02:39 PM

GitHub: 5,950 stars · 420 forks

AI VISIBILITY SCORE
35 /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
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 gluonfield/enchanted, 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
    Clarify README's opening sentence to emphasize 'chat client application'

    Why:

    CURRENT
    Enchanted is open source, Ollama compatible, elegant macOS/iOS/visionOS app for working with privately hosted models such as Llama 2, Mistral, Vicuna, Starling and more. It's essentially ChatGPT app UI that connects to your private models.
    COPY-PASTE FIX
    Enchanted is a user-friendly, open-source macOS/iOS/visionOS **chat client application** for interacting with privately hosted language models such as Llama 2, Mistral, Vicuna, Starling and more. It provides a ChatGPT-like UI that connects to your private Ollama server, ensuring secure and private conversations.
  • mediumhomepage#2
    Add the App Store link as the repository homepage

    Why:

    COPY-PASTE FIX
    https://apps.apple.com/gb/app/enchanted-llm/id6474268307
  • lowtopics#3
    Expand topics with more specific keywords for Apple ecosystem and chat clients

    Why:

    CURRENT
    ios, large-language-model, llama, llama2, llm, mistral, ollama, ollama-app, swift
    COPY-PASTE FIX
    ios, large-language-model, llama, llama2, llm, mistral, ollama, ollama-app, swift, macos-app, swiftui, chat-client, local-llm, private-llm, self-hosted-llm

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 gluonfield/enchanted
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 2×
  5. GPT4All · recommended 1×
  • CATEGORY QUERY
    How can I chat with local large language models on my Mac and iPhone?
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Ollama
    3. Jan
    4. GPT4All
    5. LocalAI
    6. LibreChat
    7. MLC Chat
    8. LlamaGPT
    9. Private LLM

    AI recommended 9 alternatives but never named gluonfield/enchanted. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a secure, private chat interface for self-hosted LLMs across Apple devices.
    you: not recommended
    AI recommended (in order):
    1. LocalAI
    2. Swift/SwiftUI
    3. LM Studio
    4. Ollama
    5. Jan
    6. Continue.dev

    AI recommended 6 alternatives but never named gluonfield/enchanted. 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 gluonfield/enchanted?
    pass
    AI named gluonfield/enchanted explicitly

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

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

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

Embed your GEO score

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gluonfield/enchanted — 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