RRepoGEO

REPOGEO REPORT · LITE

alexpinel/Dot

Default branch main · commit db2728c9 · scanned 5/16/2026, 5:16:51 PM

GitHub: 1,908 stars · 111 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)

3 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 alexpinel/Dot, 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 repo's purpose in README's first sentence

    Why:

    CURRENT
    Dot is a standalone, open-source application designed for seamless interaction with documents and files using local LLMs and Retrieval Augmented Generation (RAG).
    COPY-PASTE FIX
    Dot is a standalone, open-source desktop application for local LLMs and Retrieval Augmented Generation (RAG), *not* a dotfile manager. It's designed for seamless interaction with documents and files...
  • mediumcomparison#2
    Add a 'Comparison to Alternatives' section in README

    Why:

    COPY-PASTE FIX
    ## 🆚 Comparison to Alternatives

Dot offers a unique, user-friendly desktop application experience for local RAG and LLM interaction, setting it apart from many alternatives. While tools like LM Studio and Ollama focus on model management and API endpoints, and PrivateGPT provides a command-line interface, Dot delivers a complete graphical user interface (GUI) for non-programmers to chat with their documents locally. This focus on a standalone, accessible application makes Dot ideal for users seeking a simple, integrated solution without needing to write code or manage complex setups.
  • lowabout#3
    Refine the GitHub repository description

    Why:

    CURRENT
    Text-To-Speech, RAG, and LLMs. All local!
    COPY-PASTE FIX
    A user-friendly desktop application for local Text-To-Speech, RAG, and LLMs. Chat with your documents privately!

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 alexpinel/Dot
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. PrivateGPT · recommended 2×
  3. Ollama · recommended 2×
  4. LocalGPT · recommended 2×
  5. AnythingLLM · recommended 2×
  • CATEGORY QUERY
    How can I set up a local RAG system to chat with my private documents?
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. PrivateGPT
    3. llama-cpp-python
    4. LangChain
    5. Ollama
    6. LlamaIndex
    7. HuggingFaceEmbeddings
    8. OllamaEmbeddings
    9. ChromaDB
    10. FAISS
    11. LocalGPT
    12. AnythingLLM

    AI recommended 12 alternatives but never named alexpinel/Dot. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are some user-friendly, self-hosted applications for local LLM and document interaction?
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Ollama
    3. LocalGPT
    4. PrivateGPT
    5. Jan
    6. AnythingLLM
    7. Quivr

    AI recommended 7 alternatives but never named alexpinel/Dot. 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 alexpinel/Dot?
    pass
    AI named alexpinel/Dot explicitly

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

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

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

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alexpinel/Dot — 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