RRepoGEO

REPOGEO REPORT · LITE

efugier/smartcat

Default branch main · commit 30d992fc · scanned 6/6/2026, 7:11:55 AM

GitHub: 566 stars · 34 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 efugier/smartcat, 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
  • highreadme#1
    Clarify README's opening to prevent 'cat flap' misinterpretation

    Why:

    CURRENT
    Puts a brain behind `cat`! CLI interface to bring language models into the Unix ecosystem and allow terminal power users to make the most out of LLMs while maintaining full control.
    COPY-PASTE FIX
    smartcat (sc) is a CLI tool that puts a brain behind the *Unix `cat` command*, integrating language models into the Unix ecosystem for terminal power users. It allows you to make the most out of LLMs while maintaining full control over text streams.
  • mediumreadme#2
    Add a sentence to the README intro emphasizing Unix philosophy and stream integration

    Why:

    COPY-PASTE FIX
    It stands out by strictly adhering to the Unix philosophy, enabling seamless integration into existing command-line workflows through text streams.

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 efugier/smartcat
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
simonw/llm
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. simonw/llm · recommended 1×
  2. ollama/ollama · recommended 1×
  3. TheRensselaerIRA/shell_gpt · recommended 1×
  4. Nutlope/aicommits · recommended 1×
  5. openai/openai-python · recommended 1×
  • CATEGORY QUERY
    How to integrate language models directly into existing Unix command-line workflows?
    you: not recommended
    AI recommended (in order):
    1. llm (simonw/llm)
    2. ollama (ollama/ollama)
    3. shell_gpt (TheRensselaerIRA/shell_gpt)
    4. aicommits (Nutlope/aicommits)
    5. openai (openai/openai-python)
    6. google-generativeai (google/generative-ai-python)
    7. anthropic (anthropics/anthropic-sdk-python)
    8. lm-cli (ggerganov/llama.cpp)

    AI recommended 8 alternatives but never named efugier/smartcat. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best command-line tools for applying AI models to text streams?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers CLI (huggingface/transformers)
    2. spaCy (explosion/spaCy)
    3. NLTK (Natural Language Toolkit) CLI (nltk/nltk)
    4. OpenNMT-py CLI (OpenNMT/OpenNMT-py)
    5. Stanford CoreNLP CLI (stanfordnlp/CoreNLP)
    6. TextBlob CLI (via Python) (sloria/TextBlob)

    AI recommended 6 alternatives but never named efugier/smartcat. 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 efugier/smartcat?
    pass
    AI named efugier/smartcat explicitly

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

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

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

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efugier/smartcat — 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