RRepoGEO

REPOGEO REPORT · LITE

AK391/ai-gradio

Default branch master · commit a718a5f8 · scanned 6/26/2026, 4:13:29 PM

GitHub: 1,645 stars · 202 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
17 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
1 / 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 AK391/ai-gradio, 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
    Reposition the README's opening statement to clarify project type

    Why:

    CURRENT
    A Python package that makes it easy for developers to create machine learning apps powered by various AI providers. Built on top of Gradio, it provides a unified interface for multiple AI models and services.
    COPY-PASTE FIX
    AK391/ai-gradio is a Python framework that extends Gradio, providing a unified interface and pre-built components for developers to rapidly create multi-provider AI applications and intelligent agents.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Add a LICENSE file to the repository root, choosing a standard open-source license like MIT or Apache-2.0 to clarify usage rights for contributors and users.

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 AK391/ai-gradio
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. LlamaIndex · recommended 2×
  3. Haystack · recommended 1×
  4. LiteLLM · recommended 1×
  5. OpenAI Python Client · recommended 1×
  • CATEGORY QUERY
    Python library for building AI applications with support for multiple model providers?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. LiteLLM
    5. OpenAI Python Client
    6. azure.openai

    AI recommended 6 alternatives but never named AK391/ai-gradio. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to create interactive multi-modal AI chat interfaces and intelligent agents in Python?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack (deepset/Haystack)
    4. Gradio
    5. Streamlit
    6. OpenAI API
    7. Hugging Face Transformers

    AI recommended 7 alternatives but never named AK391/ai-gradio. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 AK391/ai-gradio?
    pass
    AI did not name AK391/ai-gradio — 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 AK391/ai-gradio in production, what risks or prerequisites should they evaluate first?
    pass
    AI named AK391/ai-gradio 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 AK391/ai-gradio solve, and who is the primary audience?
    pass
    AI did not name AK391/ai-gradio — 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?

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AK391/ai-gradio — 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