RRepoGEO

REPOGEO REPORT · LITE

0hq/WebGPT

Default branch main · commit a83cdc8d · scanned 5/29/2026, 12:32:41 AM

GitHub: 3,785 stars · 224 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 0hq/WebGPT, 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 README's opening statement

    Why:

    CURRENT
    WebGPT is a vanilla JS and HTML implementation of a transformer model, intended as a proof-of-concept as well as educational resource.
    COPY-PASTE FIX
    WebGPT is a vanilla JS and HTML implementation for running transformer models directly in the browser with WebGPU, offering a simple, lightweight solution for client-side GPT inference.
  • mediumreadme#2
    Clarify project license in README

    Why:

    COPY-PASTE FIX
    ## License
This project is licensed under the terms specified in the `LICENSE` file. Please refer to that file for full details on usage and distribution.

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 0hq/WebGPT
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
mlc-ai/web-llm
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. mlc-ai/web-llm · recommended 1×
  2. microsoft/onnxruntime · recommended 1×
  3. tensorflow/tfjs · recommended 1×
  4. huggingface/transformers.js · recommended 1×
  5. Direct WebGPU API · recommended 1×
  • CATEGORY QUERY
    What are the options for deploying transformer models client-side with WebGPU acceleration?
    you: not recommended
    AI recommended (in order):
    1. Web LLM (mlc-ai/web-llm)
    2. ONNX Runtime Web (microsoft/onnxruntime)
    3. TensorFlow.js (tensorflow/tfjs)
    4. Transformers.js (huggingface/transformers.js)
    5. Direct WebGPU API

    AI recommended 5 alternatives but never named 0hq/WebGPT. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Are there simple vanilla JavaScript implementations for running small GPT models in a browser?
    you: not recommended
    AI recommended (in order):
    1. Transformers.js
    2. ONNX.js
    3. TensorFlow.js
    4. WebGPU
    5. WebLLM
    6. WebAssembly

    AI recommended 6 alternatives but never named 0hq/WebGPT. 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 0hq/WebGPT?
    pass
    AI named 0hq/WebGPT explicitly

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

  • If a team adopts 0hq/WebGPT in production, what risks or prerequisites should they evaluate first?
    pass
    AI named 0hq/WebGPT 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 0hq/WebGPT solve, and who is the primary audience?
    pass
    AI named 0hq/WebGPT explicitly

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

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0hq/WebGPT — 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