RRepoGEO

REPOGEO REPORT · LITE

webmachinelearning/prompt-api

Default branch main · commit 8c88a602 · scanned 5/28/2026, 8:53:20 PM

GitHub: 739 stars · 110 forks

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 webmachinelearning/prompt-api, 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 H1 to clarify its nature as a web standard proposal

    Why:

    CURRENT
    # Explainer for the Prompt API
    COPY-PASTE FIX
    # Prompt API: A Web Standard Proposal for Browser-Provided Language Models
  • mediumlicense#2
    Clarify the existing license in the README

    Why:

    COPY-PASTE FIX
    This project's licensing is detailed in the LICENSE file, which outlines the specific terms and conditions for use.

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 webmachinelearning/prompt-api
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
tensorflow/tfjs
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. tensorflow/tfjs · recommended 2×
  2. Web Neural Network API · recommended 1×
  3. huggingface/transformers.js · recommended 1×
  4. microsoft/onnxruntime-web · recommended 1×
  5. WebGPU · recommended 1×
  • CATEGORY QUERY
    How can I access browser-provided language models for text generation in my web application?
    you: not recommended
    AI recommended (in order):
    1. Web Neural Network API
    2. Transformers.js (huggingface/transformers.js)
    3. ONNX Runtime Web (microsoft/onnxruntime-web)
    4. TensorFlow.js (tensorflow/tfjs)
    5. WebGPU

    AI recommended 5 alternatives but never named webmachinelearning/prompt-api. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are client-side web APIs for text summarization, translation, or content generation?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers.js (xenova/transformers.js)
    2. ONNX Runtime Web (microsoft/onnxruntime)
    3. TensorFlow.js (tensorflow/tfjs)
    4. llama.cpp (ggerganov/llama.cpp)
    5. OpenAI API
    6. Google Cloud AI
    7. AWS Comprehend
    8. Hugging Face Inference API

    AI recommended 8 alternatives but never named webmachinelearning/prompt-api. 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 webmachinelearning/prompt-api?
    pass
    AI named webmachinelearning/prompt-api explicitly

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

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

Embed your GEO score

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MARKDOWN (README)
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HTML
<a href="https://repogeo.com/en/r/webmachinelearning/prompt-api"><img src="https://repogeo.com/badge/webmachinelearning/prompt-api.svg" alt="RepoGEO" /></a>
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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite