RRepoGEO

REPOGEO REPORT · LITE

yoheinakajima/ditto

Default branch main · commit f6ffce2c · scanned 5/9/2026, 4:57:32 AM

GitHub: 1,056 stars · 160 forks

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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ai-agent, code-generation, flask, web-development, llm-agent, no-code
  • highreadme#2
    Clarify the README's opening sentence for better AI understanding

    Why:

    CURRENT
    **Dittothe simplest self-building coding agent*.
    COPY-PASTE FIX
    **Ditto is the simplest self-building coding agent for generating multi-file Flask applications from natural language descriptions.**
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/yoheinakajima/ditto

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
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot · recommended 1×
  2. ChatGPT / GPT-4 · recommended 1×
  3. cookiecutter/cookiecutter · recommended 1×
  4. dpgaspar/Flask-AppBuilder · recommended 1×
  5. PyCharm Professional · recommended 1×
  • CATEGORY QUERY
    How to quickly build a multi-file Flask application using natural language descriptions?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. ChatGPT / GPT-4
    3. Cookiecutter (cookiecutter/cookiecutter)
    4. Flask-AppBuilder (dpgaspar/Flask-AppBuilder)
    5. PyCharm Professional
    6. VS Code (microsoft/vscode)

    AI recommended 6 alternatives but never named yoheinakajima/ditto. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best self-building AI agents for generating web application code?
    you: not recommended
    AI recommended (in order):
    1. GPT-Engineer
    2. Auto-GPT
    3. Smol-Developer
    4. MetaGPT
    5. Aider
    6. OpenDevin

    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