RRepoGEO

REPOGEO REPORT · LITE

Liquid4All/cookbook

Default branch main · commit 1e4c7b94 · scanned 5/14/2026, 12:12:42 PM

GitHub: 1,966 stars · 319 forks

AI VISIBILITY SCORE
35 /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
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 Liquid4All/cookbook, 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
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a `LICENSE` file in the root of the repository with the chosen open-source license (e.g., Apache-2.0, MIT, GPL-3.0). If a specific license is already intended, ensure the file is present and correctly formatted.
  • hightopics#2
    Expand repository topics to improve category visibility

    Why:

    CURRENT
    android, edge, ios, language-model, language-models, laptop
    COPY-PASTE FIX
    android, edge, ios, language-model, language-models, laptop, examples, tutorials, cookbook, liquid-ai, lfm, leap-sdk, foundational-models, ai-applications
  • mediumreadme#3
    Refine README opening to emphasize 'cookbook' and practical solutions

    Why:

    CURRENT
    **Examples**, **tutorials**, and **applications** to help you build with our open-weight LFMs and the LEAP SDK on laptops, mobile, and edge devices.
    COPY-PASTE FIX
    **The Liquid AI Cookbook** provides **practical, end-to-end solutions** and **step-by-step tutorials** to help you build real-world applications with our open-weight Liquid AI Foundational Models (LFMs) and the LEAP SDK on laptops, mobile, and edge devices. Discover recipes for common use cases and accelerate your development.

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 Liquid4All/cookbook
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Core ML
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Core ML · recommended 2×
  2. google/mediapipe · recommended 1×
  3. ML Kit · recommended 1×
  4. tensorflow/tensorflow · recommended 1×
  5. pytorch/pytorch · recommended 1×
  • CATEGORY QUERY
    How to deploy open-weight language models efficiently on Android or iOS edge devices?
    you: not recommended
    AI recommended (in order):
    1. MediaPipe (google/mediapipe)
    2. ML Kit
    3. TensorFlow Lite (tensorflow/tensorflow)
    4. PyTorch Mobile (pytorch/pytorch)
    5. ONNX Runtime (microsoft/onnxruntime)
    6. Core ML
    7. transformers (huggingface/transformers)
    8. optimum (huggingface/optimum)
    9. accelerate (huggingface/accelerate)

    AI recommended 9 alternatives but never named Liquid4All/cookbook. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking practical examples and tutorials for building with foundational AI models on mobile and desktop.
    you: not recommended
    AI recommended (in order):
    1. TensorFlow Lite
    2. PyTorch Mobile
    3. Core ML
    4. ONNX Runtime
    5. Hugging Face Transformers
    6. OpenVINO Toolkit
    7. ML.NET

    AI recommended 7 alternatives but never named Liquid4All/cookbook. 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 Liquid4All/cookbook?
    pass
    AI named Liquid4All/cookbook explicitly

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

  • If a team adopts Liquid4All/cookbook in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Liquid4All/cookbook 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 Liquid4All/cookbook solve, and who is the primary audience?
    pass
    AI named Liquid4All/cookbook explicitly

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

Embed your GEO score

Drop this badge into the README of Liquid4All/cookbook. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/Liquid4All/cookbook.svg)](https://repogeo.com/en/r/Liquid4All/cookbook)
HTML
<a href="https://repogeo.com/en/r/Liquid4All/cookbook"><img src="https://repogeo.com/badge/Liquid4All/cookbook.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

Liquid4All/cookbook — 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