RRepoGEO

REPOGEO REPORT · LITE

alexpinel/Dot

Default branch main · commit db2728c9 · scanned 6/27/2026, 2:52:06 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
33 /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
2 / 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
    Reposition the README's 'About Dot' section to explicitly state its purpose and form factor

    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). It is inspired by solutions like Nvidia's Chat with RTX, providing a user-friendly interface for those without a programming background. Using the Phi-3.5 LLM by default, Dot ensures accessibility and simplicity right out of the box.
    COPY-PASTE FIX
    Dot is a **user-friendly, standalone desktop application** for **private, offline AI interactions** with your documents and files. It leverages local LLMs and Retrieval Augmented Generation (RAG) to provide a graphical interface, similar to solutions like Nvidia's Chat with RTX, making advanced AI accessible without a programming background. Unlike command-line tools or dotfile managers, Dot focuses on secure, local document chat. Using the Phi-3.5 LLM by default, Dot ensures accessibility and simplicity right out of the box.
  • mediumabout#2
    Update the repository description to emphasize its desktop application nature

    Why:

    CURRENT
    Text-To-Speech, RAG, and LLMs. All local!
    COPY-PASTE FIX
    A user-friendly, standalone desktop application for Text-To-Speech, RAG, and LLMs. All local and private!
  • mediumreadme#3
    Add a 'Comparison with Alternatives' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, for example, after 'How does it work?', with the heading '## 🆚 Comparison with Alternatives'. Start with a sentence like: 'While tools like PrivateGPT, LM Studio, and Ollama offer powerful local AI capabilities, Dot distinguishes itself as a dedicated, user-friendly desktop application focused on seamless document interaction and Text-To-Speech for non-technical users, providing a complete graphical interface out-of-the-box.'

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. Ollama · recommended 2×
  3. PrivateGPT · recommended 2×
  4. LocalAI · recommended 2×
  5. Jan · recommended 2×
  • CATEGORY QUERY
    How can I privately chat with my local documents using an offline AI model?
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Ollama
    3. PrivateGPT
    4. LocalAI
    5. Jan
    6. AnythingLLM
    7. llama.cpp
    8. transformers
    9. LangChain
    10. LlamaIndex
    11. all-MiniLM-L6-v2
    12. Chroma
    13. FAISS

    AI recommended 13 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 desktop applications for RAG and LLM interaction?
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Ollama
    3. Jan
    4. LocalAI
    5. PrivateGPT
    6. AnythingLLM
    7. GPT4All

    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 did not name alexpinel/Dot — likely talking about a different project

    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