RRepoGEO

REPOGEO REPORT · LITE

huggingface/transformers.js-examples

Default branch main · commit 204b0948 · scanned 7/1/2026, 9:23:46 AM

GitHub: 2,060 stars · 245 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)

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

AI VISIBILITY SCORE
28 /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
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 huggingface/transformers.js-examples, 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 sentence to clarify purpose and audience

    Why:

    CURRENT
    A collection of 🤗 Transformers.js demos and example applications.
    COPY-PASTE FIX
    This repository provides a comprehensive collection of practical 🤗 Transformers.js demos and example applications, designed to help developers quickly learn and implement client-side AI with pre-trained models in browsers and Node.js.
  • mediumtopics#2
    Add more specific topics to improve category visibility

    Why:

    CURRENT
    transformers, transformersjs
    COPY-PASTE FIX
    transformers, transformersjs, webgpu, llm, large-language-models, image-segmentation, client-side-ai, javascript-examples, machine-learning-examples, browser-ai, nodejs-ai
  • lowhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://huggingface.co/docs/transformers.js/

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 huggingface/transformers.js-examples
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
huggingface/transformers.js
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. huggingface/transformers.js · recommended 1×
  2. mlc-ai/web-llm · recommended 1×
  3. microsoft/onnxruntime-web · recommended 1×
  4. tensorflow/tfjs · recommended 1×
  5. ggerganov/llama.cpp · recommended 1×
  • CATEGORY QUERY
    How to run large language models directly in a web browser using JavaScript?
    you: not recommended
    AI recommended (in order):
    1. Transformers.js (huggingface/transformers.js)
    2. WebLLM (mlc-ai/web-llm)
    3. ONNX Runtime Web (microsoft/onnxruntime-web)
    4. TensorFlow.js (tensorflow/tfjs)
    5. llama.cpp (ggerganov/llama.cpp)
    6. MediaPipe (google/mediapipe)

    AI recommended 6 alternatives but never named huggingface/transformers.js-examples. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good examples for client-side image segmentation using WebGPU in JavaScript?
    you: not recommended
    AI recommended (in order):
    1. TensorFlow.js
    2. ONNX Runtime Web
    3. OpenCV.js

    AI recommended 3 alternatives but never named huggingface/transformers.js-examples. 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 huggingface/transformers.js-examples?
    pass
    AI named huggingface/transformers.js-examples explicitly

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

  • If a team adopts huggingface/transformers.js-examples in production, what risks or prerequisites should they evaluate first?
    pass
    AI named huggingface/transformers.js-examples 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 huggingface/transformers.js-examples solve, and who is the primary audience?
    pass
    AI did not name huggingface/transformers.js-examples — 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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  • Brand-free category queries5 vs 2 in Lite
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