RRepoGEO

REPOGEO REPORT · LITE

robertpiosik/CodeWebChat

Default branch dev · commit 93a1ab38 · scanned 5/15/2026, 10:27:56 PM

GitHub: 1,376 stars · 124 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 robertpiosik/CodeWebChat, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • mediumhomepage#1
    Set the repository homepage URL

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    https://codeweb.chat
  • mediumabout#2
    Enhance the 'About' description for clarity

    Why:

    CURRENT
    AI coding without agents
    COPY-PASTE FIX
    VS Code extension for AI coding without agents, enabling multi-file edits and prompt construction.

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 robertpiosik/CodeWebChat
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. Tabnine AI Code Completion · recommended 1×
  3. Codeium · recommended 1×
  4. Amazon CodeWhisperer · recommended 1×
  5. Cursor · recommended 1×
  • CATEGORY QUERY
    How can I integrate AI code generation and editing directly into my VS Code workflow?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. Tabnine AI Code Completion
    3. Codeium
    4. Amazon CodeWhisperer
    5. Cursor
    6. Continue

    AI recommended 6 alternatives but never named robertpiosik/CodeWebChat. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source tools help apply AI code changes across multiple files efficiently?
    you: not recommended
    AI recommended (in order):
    1. OpenRewrite (openrewrite/rewrite)
    2. Comby (comby-tools/comby)
    3. Black (psf/black)
    4. Prettier (prettier/prettier)
    5. ESLint (eslint/eslint)
    6. Clang-Tidy (llvm/llvm-project)
    7. Sed/Awk

    AI recommended 7 alternatives but never named robertpiosik/CodeWebChat. 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 robertpiosik/CodeWebChat?
    pass
    AI named robertpiosik/CodeWebChat explicitly

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

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

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

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MARKDOWN (README)
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robertpiosik/CodeWebChat — 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