RRepoGEO

REPOGEO REPORT · LITE

nilbuild/claude-run

Default branch main · commit f8c5f43b · scanned 5/31/2026, 6:44:04 PM

GitHub: 601 stars · 72 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 nilbuild/claude-run, 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
  • hightopics#1
    Add specific topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    claude, anthropic, ai-assistant, conversation-history, web-ui, code-generation, developer-tools
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    https://www.npmjs.com/package/claude-run

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 nilbuild/claude-run
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Obsidian
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Obsidian · recommended 1×
  2. Notion · recommended 1×
  3. logseq/logseq · recommended 1×
  4. Evernote · recommended 1×
  5. laurent22/joplin · recommended 1×
  • CATEGORY QUERY
    How can I better organize and review my AI coding assistant conversations?
    you: not recommended
    AI recommended (in order):
    1. Obsidian
    2. Notion
    3. Logseq (logseq/logseq)
    4. Evernote
    5. Joplin (laurent22/joplin)
    6. VS Code (microsoft/vscode)
    7. Markdown All in One (yzhang-gh/vscode-markdown)
    8. Foam (foambubble/foam)
    9. Google Docs
    10. Microsoft Word

    AI recommended 10 alternatives but never named nilbuild/claude-run. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to visualize and search past AI code generation interactions in a web interface?
    you: not recommended
    AI recommended (in order):
    1. Weights & Biases (W&B)
    2. MLflow Tracking UI (mlflow/mlflow)
    3. Comet ML
    4. PostgreSQL
    5. MongoDB
    6. Streamlit (streamlit/streamlit)
    7. Dash (plotly/dash)
    8. React (facebook/react)
    9. Vue.js (vuejs/core)
    10. LangChain (langchain-ai/langchain)
    11. Langfuse (langfuse/langfuse)
    12. Arize AI (Phoenix) (arize-ai/phoenix)

    AI recommended 12 alternatives but never named nilbuild/claude-run. 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 nilbuild/claude-run?
    pass
    AI did not name nilbuild/claude-run — 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 nilbuild/claude-run in production, what risks or prerequisites should they evaluate first?
    pass
    AI named nilbuild/claude-run 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 nilbuild/claude-run solve, and who is the primary audience?
    pass
    AI named nilbuild/claude-run 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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nilbuild/claude-run — 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