RRepoGEO

REPOGEO REPORT · LITE

sauravpanda/BrowserAI

Default branch main · commit 7da5f50f · scanned 5/15/2026, 8:51:36 PM

GitHub: 1,414 stars · 137 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 sauravpanda/BrowserAI, 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
    Strengthen the README's introductory value proposition

    Why:

    CURRENT
    ### Run Production-Ready LLMs Directly in Your Browser

<p align="center">
  <strong>Simple • Fast • Private • Open Source</strong>
</p>
    COPY-PASTE FIX
    ### Run Production-Ready LLMs Directly in Your Browser
The most comprehensive and performant solution for client-side AI, supporting a wide range of models like Llama, Deepseek, and Kokoro, with WebGPU acceleration.

<p align="center">
  <strong>Simple • Fast • Private • Open Source</strong>
</p>
  • mediumtopics#2
    Add more specific browser-AI related topics

    Why:

    CURRENT
    agents, ai, llama, llm, llm-inference, local, localllm, tts, webgpu
    COPY-PASTE FIX
    agents, ai, browser-llm, client-side-ai, llama, llm, llm-inference, local, localllm, tts, wasm, webassembly, webgpu
  • lowcomparison#3
    Add a dedicated 'Comparison to Alternatives' section in the README

    Why:

    COPY-PASTE FIX
    Add a new 'Comparison to Alternatives' section in the README, detailing how BrowserAI differentiates itself from projects like Web LLM and Transformers.js in terms of model support, performance, ease of use, or production readiness.

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 sauravpanda/BrowserAI
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Web LLM
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Web LLM · recommended 1×
  2. Transformers.js · recommended 1×
  3. ONNX Runtime Web · recommended 1×
  4. TensorFlow.js · recommended 1×
  5. llama.cpp · recommended 1×
  • CATEGORY QUERY
    How to run large language models directly inside a web browser for client-side inference?
    you: not recommended
    AI recommended (in order):
    1. Web LLM
    2. Transformers.js
    3. ONNX Runtime Web
    4. TensorFlow.js
    5. llama.cpp

    AI recommended 5 alternatives but never named sauravpanda/BrowserAI. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a library for web-based text-to-speech and voice chat using local LLMs.
    you: not recommended
    AI recommended (in order):
    1. Coqui TTS (coqui-ai/TTS)
    2. WebRTC
    3. llama.cpp (ggerganov/llama.cpp)
    4. llama-cpp-python (abetlen/llama-cpp-python)
    5. Whisper (openai/whisper)
    6. Mozilla TTS (mozilla/TTS)
    7. Ollama (ollama/ollama)
    8. Piper (rhasspy/piper)
    9. LM Studio
    10. Rhasspy (rhasspy/rhasspy)
    11. OpenVoice (myshell-ai/OpenVoice)
    12. whisper.cpp (ggerganov/whisper.cpp)
    13. faster-whisper (guillaumekln/faster-whisper)
    14. Flask (pallets/flask)
    15. FastAPI (tiangolo/fastapi)
    16. Node.js (nodejs/node)

    AI recommended 16 alternatives but never named sauravpanda/BrowserAI. 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 sauravpanda/BrowserAI?
    pass
    AI named sauravpanda/BrowserAI explicitly

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

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

    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/sauravpanda/BrowserAI"><img src="https://repogeo.com/badge/sauravpanda/BrowserAI.svg" alt="RepoGEO" /></a>
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sauravpanda/BrowserAI — 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