RRepoGEO

REPOGEO REPORT · LITE

Lakr233/FlowDown

Default branch main · commit 0abbf253 · scanned 5/25/2026, 1:33:05 PM

GitHub: 1,076 stars · 104 forks

AI VISIBILITY SCORE
28 /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
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 Lakr233/FlowDown, 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
  • highabout#1
    Set the 'About' description to clearly state the project's purpose

    Why:

    CURRENT
    https://flowdown.ai/
    COPY-PASTE FIX
    A native, privacy-first AI chat client for Apple platforms (macOS, iOS, iPadOS) supporting self-hosted models and OpenAI APIs.
  • hightopics#2
    Add relevant GitHub topics

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    ai-chat, llm, openai, apple-platforms, macos, ios, ipad, privacy, client, desktop-app
  • mediumhomepage#3
    Set the official homepage URL in the repository's 'About' section

    Why:

    COPY-PASTE FIX
    https://flowdown.ai/

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 Lakr233/FlowDown
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. MacWhisper · recommended 1×
  3. LocalAI · recommended 1×
  4. Jan · recommended 1×
  5. OpenWebUI · recommended 1×
  • CATEGORY QUERY
    What are the best native AI chat clients for macOS and iOS with privacy features?
    you: not recommended
    AI recommended (in order):
    1. MacWhisper
    2. LocalAI
    3. Jan
    4. LM Studio
    5. OpenWebUI
    6. Ollama
    7. PrivateGPT

    AI recommended 7 alternatives but never named Lakr233/FlowDown. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an AI chatbot frontend for Apple devices supporting self-hosted models or OpenAI APIs.
    you: not recommended
    AI recommended (in order):
    1. Chatbot UI (mckaywrigley/chatbot-ui)
    2. LocalAI (go-skynet/LocalAI)
    3. Jan (janhq/jan)
    4. LM Studio
    5. OpenWebUI (open-webui/open-webui)
    6. Swift/SwiftUI
    7. MoeGPT (LlmKira/MoeGPT)

    AI recommended 7 alternatives but never named Lakr233/FlowDown. 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 Lakr233/FlowDown?
    pass
    AI did not name Lakr233/FlowDown — 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 Lakr233/FlowDown in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Lakr233/FlowDown 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 Lakr233/FlowDown solve, and who is the primary audience?
    pass
    AI named Lakr233/FlowDown explicitly

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

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Lakr233/FlowDown — 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