REPOGEO REPORT · LITE

google-gemma/cookbook

Default branch main · commit a9ccc951 · scanned 6/29/2026, 5:13:17 AM

GitHub: 3,848 stars · 636 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

33 /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

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 google-gemma/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

highreadme#1

Reposition README H1 to emphasize official, first-party status for Gemma

Why:

CURRENT

# Welcome to the Gemma Cookbook
This is a collection of guides and examples for Google Gemma.

COPY-PASTE FIX

# The Official Google Gemma Cookbook
This is the official collection of guides and examples for Google's Gemma family of open models.

mediumabout#2

Clarify the 'About' description to highlight its official source

Why:

CURRENT

A collection of guides and examples for the Gemma open models from Google.

COPY-PASTE FIX

The official collection of guides and examples from Google for the Gemma family of open models.

mediumcomparison#3

Add a 'Why this Cookbook?' or 'How is this different?' section to the README

Why:

COPY-PASTE FIX

## Why use the Gemma Cookbook?
This cookbook is the official, first-party resource for practical guides and examples specifically tailored for Google's Gemma family of open models. Unlike general LLM cookbooks or framework examples, it provides authoritative, tested content directly from the Gemma team, ensuring compatibility and best practices for building with Gemma.

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 google-gemma/cookbook

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

huggingface/transformers

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

huggingface/transformers · recommended 1×
openai/openai-cookbook · recommended 1×
Towards Data Science (Medium) · recommended 1×
Kaggle Notebooks · recommended 1×
pytorch/examples · recommended 1×

CATEGORY QUERY
Where can I find practical guides and examples for working with open generative AI models?
you: not recommended
AI recommended (in order):
1. Hugging Face Transformers (huggingface/transformers)
2. OpenAI Cookbook (openai/openai-cookbook)
3. Towards Data Science (Medium)
4. Kaggle Notebooks
5. PyTorch Examples (pytorch/examples)
6. TensorFlow Examples (tensorflow/examples)
AI recommended 6 alternatives but never named google-gemma/cookbook. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Looking for tutorials and full-stack application demos for building with open AI models.
you: not recommended
AI recommended (in order):
1. OpenAI Cookbook
2. LangChain
3. Next.js AI Chatbot Template
4. Streamlit
5. Hugging Face Transformers
6. Hugging Face Spaces
7. Full Stack Deep Learning Course
8. Traversy Media
9. freeCodeCamp.org
10. AI Coffee Break with Letitia
AI recommended 10 alternatives but never named google-gemma/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
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 google-gemma/cookbook?
pass
AI did not name google-gemma/cookbook — 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?
If a team adopts google-gemma/cookbook in production, what risks or prerequisites should they evaluate first?
pass
AI named google-gemma/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 google-gemma/cookbook solve, and who is the primary audience?
pass
AI named google-gemma/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

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MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/google-gemma/cookbook.svg)](https://repogeo.com/en/r/google-gemma/cookbook)

HTML

<a href="https://repogeo.com/en/r/google-gemma/cookbook"><img src="https://repogeo.com/badge/google-gemma/cookbook.svg" alt="RepoGEO" /></a>

Pro

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google-gemma/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