RRepoGEO

REPOGEO REPORT · LITE

koaning/smartfunc

Default branch main · commit 7ef6f02e · scanned 5/31/2026, 11:33:03 AM

GitHub: 518 stars · 14 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 koaning/smartfunc, 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
  • highreadme#1
    Add explicit positioning to 'What is this?' section

    Why:

    CURRENT
    Here is a nice example of what is possible with this library:
    COPY-PASTE FIX
    Smartfunc is a Python library that simplifies the process of defining and calling Large Language Model (LLM) functions, allowing you to turn any Python function into an LLM-powered endpoint using the OpenAI SDK or compatible providers. Here is a nice example of what is possible with this library:
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    llm, large-language-models, openai, function-calling, python, ai, generative-ai, decorators
  • mediumhomepage#3
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    Add a link to the project's primary documentation or landing page.

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 koaning/smartfunc
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. Instructor · recommended 2×
  3. LiteLLM · recommended 2×
  4. LlamaIndex · recommended 1×
  5. OpenAI Python Library · recommended 1×
  • CATEGORY QUERY
    How to easily integrate large language model calls into existing Python functions?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Instructor
    4. OpenAI Python Library
    5. LiteLLM

    AI recommended 5 alternatives but never named koaning/smartfunc. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to define LLM behavior directly within Python function definitions using decorators?
    you: not recommended
    AI recommended (in order):
    1. Instructor
    2. Marvin
    3. Guidance
    4. LangChain
    5. LiteLLM

    AI recommended 5 alternatives but never named koaning/smartfunc. 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 koaning/smartfunc?
    pass
    AI named koaning/smartfunc explicitly

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

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

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

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koaning/smartfunc — 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