RRepoGEO

REPOGEO REPORT · LITE

BruceMacD/chatd

Default branch main · commit a2160988 · scanned 5/10/2026, 7:47:30 PM

GitHub: 1,084 stars · 77 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 BruceMacD/chatd, 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 sentence to clarify project type

    Why:

    CURRENT
    Chat with your documents using local AI.
    COPY-PASTE FIX
    Chatd is a private, local-first desktop application for chatting with your documents using on-device AI, ensuring all your data stays on your computer.
  • mediumabout#2
    Enhance the repository description with key differentiators

    Why:

    CURRENT
    Chat with your documents using local AI
    COPY-PASTE FIX
    Private, local-first desktop application for RAG with your documents using on-device AI, including a bundled LLM runner (Ollama).
  • lowcomparison#3
    Add a 'Comparison to Alternatives' section in the README

    Why:

    COPY-PASTE FIX
    Add a new section titled '## Comparison to Alternatives' or '## Why Chatd?' that briefly outlines how Chatd's bundled Ollama runner and focus on a simple, private desktop experience differentiates it from other RAG tools or LLM runners. For example: 'Unlike tools that require separate LLM installations or are primarily server-based, Chatd bundles Ollama for a true out-of-the-box desktop RAG experience.'

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 BruceMacD/chatd
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. PrivateGPT · recommended 1×
  5. LocalGPT · recommended 1×
  • CATEGORY QUERY
    How can I privately chat with my local documents using an on-device large language model?
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Ollama
    3. PrivateGPT
    4. LocalGPT
    5. LangChain
    6. LlamaIndex
    7. Jan
    8. AnythingLLM
    9. Quivr

    AI recommended 9 alternatives but never named BruceMacD/chatd. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What desktop applications allow RAG with local LLMs, including a bundled model runner?
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Ollama
    3. LocalAI
    4. Jan
    5. GPT4All
    6. Faraday.dev

    AI recommended 6 alternatives but never named BruceMacD/chatd. 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 BruceMacD/chatd?
    pass
    AI named BruceMacD/chatd explicitly

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

  • If a team adopts BruceMacD/chatd in production, what risks or prerequisites should they evaluate first?
    pass
    AI named BruceMacD/chatd 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 BruceMacD/chatd solve, and who is the primary audience?
    pass
    AI named BruceMacD/chatd 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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MARKDOWN (README)
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BruceMacD/chatd — 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