RRepoGEO

REPOGEO REPORT · LITE

philschmid/gemini-samples

Default branch main · commit 8fbb1f64 · scanned 5/24/2026, 1:08:14 PM

GitHub: 1,366 stars · 206 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 philschmid/gemini-samples, 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
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    Practical code samples, snippets, and guides for Google Gemini models, focusing on agentic patterns, function calling, tool use, and memory integration.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    gemini, google-gemini, llm-examples, ai-agents, function-calling, tool-use, memory, python, jupyter-notebooks, generative-ai
  • mediumreadme#3
    Refine the README's opening sentence to highlight capabilities

    Why:

    CURRENT
    This repository contains personal tiny samples, snippets and guides showcasing cool experiments and implementations using Google DeepMind Gemini models.
    COPY-PASTE FIX
    This repository provides practical code samples, snippets, and guides for Google DeepMind Gemini models, specifically demonstrating how to implement advanced LLM capabilities such as function calling, tool use, agentic patterns, and memory integration.

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 philschmid/gemini-samples
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. OpenAI Functions · recommended 1×
  4. Hugging Face Transformers Agents · recommended 1×
  5. Microsoft Semantic Kernel · recommended 1×
  • CATEGORY QUERY
    How can I integrate large language models with external APIs and search functionality?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI Functions
    4. Hugging Face Transformers Agents
    5. Microsoft Semantic Kernel
    6. Zapier NLA

    AI recommended 6 alternatives but never named philschmid/gemini-samples. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Show me Python examples for building AI agents with tool use and memory.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. CrewAI
    4. AutoGen
    5. Haystack

    AI recommended 5 alternatives but never named philschmid/gemini-samples. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 philschmid/gemini-samples?
    pass
    AI named philschmid/gemini-samples explicitly

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

  • If a team adopts philschmid/gemini-samples in production, what risks or prerequisites should they evaluate first?
    pass
    AI named philschmid/gemini-samples 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 philschmid/gemini-samples solve, and who is the primary audience?
    pass
    AI named philschmid/gemini-samples 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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philschmid/gemini-samples — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite