RRepoGEO

REPOGEO REPORT · LITE

generalaction/emdash

Default branch main · commit 7862f5ff · scanned 5/11/2026, 9:07:29 PM

GitHub: 4,332 stars · 420 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 generalaction/emdash, 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.

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 generalaction/emdash
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. CrewAI · recommended 1×
  3. AutoGen · recommended 1×
  4. Haystack · recommended 1×
  5. Prefect · recommended 1×
  • CATEGORY QUERY
    How can I orchestrate multiple AI coding agents for parallel development workflows?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. CrewAI
    3. AutoGen
    4. Haystack
    5. Prefect
    6. Apache Airflow
    7. Kubernetes

    AI recommended 7 alternatives but never named generalaction/emdash. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source agentic development environment allows running various LLM coding assistants?
    you: not recommended
    AI recommended (in order):
    1. Cursor
    2. VS Code
    3. Continue
    4. CodeGPT
    5. GitHub Copilot Chat
    6. Codeium
    7. OpenDevin
    8. Smol-Developer
    9. GPT-Engineer
    10. Auto-GPT
    11. BabyAGI

    AI recommended 11 alternatives but never named generalaction/emdash. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 generalaction/emdash?
    pass
    AI named generalaction/emdash explicitly

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

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

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

Embed your GEO score

Drop this badge into the README of generalaction/emdash. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
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HTML
<a href="https://repogeo.com/en/r/generalaction/emdash"><img src="https://repogeo.com/badge/generalaction/emdash.svg" alt="RepoGEO" /></a>
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generalaction/emdash — 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