RRepoGEO

REPOGEO REPORT · LITE

riwigefi/light-gpt

Default branch master · commit db77dade · scanned 6/16/2026, 11:22:59 AM

GitHub: 829 stars · 206 forks

AI VISIBILITY SCORE
33 /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
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 riwigefi/light-gpt, 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
    Reposition the README's opening paragraph to clarify project type

    Why:

    CURRENT
    Light-GPT is an interactive website project based on the GPT-3.5-Turbo model. It is built using the Next.js framework and deployed on the Vercel cloud platform. It is a pure front-end lightweight application.
    COPY-PASTE FIX
    Light-GPT is a pure front-end, client-side interactive chat application built with Next.js, leveraging the OpenAI GPT-3.5-Turbo API. It's designed for a lightweight, secure user experience, deployed on Vercel.
  • mediumtopics#2
    Add more specific topics to improve categorization

    Why:

    CURRENT
    chatgpt, gpt-35-turbo, nextjs, vercel
    COPY-PASTE FIX
    chatgpt, gpt-35-turbo, nextjs, vercel, openai-api, frontend, web-app, chat-ui, client-side
  • mediumreadme#3
    Add a 'Purpose & Audience' section to explicitly counter misinterpretations

    Why:

    COPY-PASTE FIX
    ## Purpose & Audience
Light-GPT is designed as a ready-to-use, secure, and feature-rich client-side chat application for individuals who want a personal, customizable interface to interact with OpenAI's GPT-3.5-Turbo model without needing a backend server. It is not an educational implementation of the GPT model architecture itself, but a practical tool for 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 riwigefi/light-gpt
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GPT-3.5-Turbo
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GPT-3.5-Turbo · recommended 1×
  2. Yidadaa/ChatGPT-Next-Web · recommended 1×
  • CATEGORY QUERY
    How to build a lightweight, client-side chat interface using OpenAI's GPT-3.5-Turbo model?
    you: not recommended
    AI recommended (in order):
    1. GPT-3.5-Turbo

    AI recommended 1 alternative but never named riwigefi/light-gpt. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a Next.js front-end application for GPT-3.5 interaction with local browser data storage.
    you: not recommended
    AI recommended (in order):
    1. ChatGPT-Next-Web (Yidadaa/ChatGPT-Next-Web)

    AI recommended 1 alternative but never named riwigefi/light-gpt. 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 riwigefi/light-gpt?
    pass
    AI named riwigefi/light-gpt explicitly

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

  • If a team adopts riwigefi/light-gpt in production, what risks or prerequisites should they evaluate first?
    pass
    AI named riwigefi/light-gpt 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 riwigefi/light-gpt solve, and who is the primary audience?
    pass
    AI did not name riwigefi/light-gpt — 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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