RRepoGEO

REPOGEO REPORT · LITE

yoheinakajima/ditto

Default branch main · commit f6ffce2c · scanned 6/18/2026, 11:57:19 PM

GitHub: 1,056 stars · 160 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)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 yoheinakajima/ditto, 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 the project's core purpose in the README's opening tagline

    Why:

    CURRENT
    **Dittothe simplest self-building coding agent*.
    COPY-PASTE FIX
    **Ditto: The simplest self-building coding agent for multi-file Flask applications*.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    ai-agent, code-generation, flask, web-development, no-code, llm-agent
  • mediumreadme#3
    Add a 'Why Ditto?' section to differentiate from general AI tools

    Why:

    COPY-PASTE FIX
    ## Why Ditto?

Ditto stands out by focusing specifically on generating complete, multi-file Flask applications from natural language. Unlike general-purpose AI coding assistants that offer broad code completion, or no-code platforms that abstract away the code entirely, Ditto provides you with a functional, modular Flask codebase that you can own, understand, and extend. It's designed for developers who want to quickly scaffold web applications with a clear, maintainable structure.

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 yoheinakajima/ditto
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Copilot X
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot X · recommended 1×
  2. ChatGPT Plus · recommended 1×
  3. Google Gemini Advanced · recommended 1×
  4. Cursor · recommended 1×
  5. facebookresearch/codellama · recommended 1×
  • CATEGORY QUERY
    How can I quickly generate a multi-file Flask application from a natural language description?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot X
    2. ChatGPT Plus
    3. Google Gemini Advanced
    4. Cursor
    5. Code Llama (facebookresearch/codellama)

    AI recommended 5 alternatives but never named yoheinakajima/ditto. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are some AI coding assistants for building web applications without manual coding?
    you: not recommended
    AI recommended (in order):
    1. Locofy.ai
    2. Durable
    3. AppGyver
    4. Bubble
    5. Webflow
    6. Adalo

    AI recommended 6 alternatives but never named yoheinakajima/ditto. 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 yoheinakajima/ditto?
    pass
    AI named yoheinakajima/ditto explicitly

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

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

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

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yoheinakajima/ditto — 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