RRepoGEO

REPOGEO REPORT · LITE

google-gemini/starter-applets

Default branch main · commit 82a598ad · scanned 5/26/2026, 5:17:56 PM

GitHub: 1,337 stars · 451 forks

AI VISIBILITY SCORE
27 /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
1 / 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-gemini/starter-applets, 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 the README's opening paragraph to clarify its role as interactive app examples

    Why:

    CURRENT
    This repository contains the source code for Google AI Studio's starter apps — a collection of small apps that demonstrate how Gemini can be used to create interactive experiences. These apps are built to run inside AI Studio, but the versions included here can run standalone using the Gemini API.
    COPY-PASTE FIX
    This repository provides **ready-to-use starter applets and interactive web application examples** for Google AI Studio, showcasing how the Gemini API can power engaging user experiences. These are **demonstration apps**, not foundational libraries, designed to help developers quickly build and integrate Gemini's capabilities into their own projects.
  • mediumtopics#2
    Add more specific topics to highlight the repo's nature

    Why:

    CURRENT
    ai, gemini, gemini-api, google
    COPY-PASTE FIX
    ai, gemini, gemini-api, google, starter-apps, examples, web-apps, interactive-ai, demos
  • mediumreadme#3
    Add a 'What these Applets Are (and Are Not)' section to the README

    Why:

    COPY-PASTE FIX
    ## What these Applets Are (and Are Not)
    These starter applets are practical, runnable examples demonstrating specific Gemini API features in interactive web contexts (like spatial understanding or video analysis). They are designed for developers looking for quick integration patterns and inspiration. This repository is **not** a general-purpose AI framework, a low-level computer vision library, or a production-ready boilerplate for all AI applications.

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-gemini/starter-applets
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenCV
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenCV · recommended 1×
  2. TensorFlow · recommended 1×
  3. PyTorch · recommended 1×
  4. Ultralytics YOLOv5/v8 · recommended 1×
  5. Darknet · recommended 1×
  • CATEGORY QUERY
    How can I integrate AI to analyze spatial understanding or detect events in videos?
    you: not recommended
    AI recommended (in order):
    1. OpenCV
    2. TensorFlow
    3. PyTorch
    4. Ultralytics YOLOv5/v8
    5. Darknet
    6. Detectron2
    7. MediaPipe
    8. NVIDIA DeepStream SDK
    9. Azure Video Analyzer
    10. AWS Rekognition Video
    11. Google Cloud Video AI

    AI recommended 11 alternatives but never named google-gemini/starter-applets. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find sample code for building AI-driven interactive web apps using React?
    you: not recommended
    AI recommended (in order):
    1. Vercel AI SDK
    2. Hugging Face Transformers.js
    3. OpenAI Cookbook
    4. Google Cloud AI Platform

    AI recommended 4 alternatives but never named google-gemini/starter-applets. 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-gemini/starter-applets?
    pass
    AI did not name google-gemini/starter-applets — 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-gemini/starter-applets in production, what risks or prerequisites should they evaluate first?
    pass
    AI named google-gemini/starter-applets 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-gemini/starter-applets solve, and who is the primary audience?
    pass
    AI did not name google-gemini/starter-applets — 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

Drop this badge into the README of google-gemini/starter-applets. 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/google-gemini/starter-applets.svg)](https://repogeo.com/en/r/google-gemini/starter-applets)
HTML
<a href="https://repogeo.com/en/r/google-gemini/starter-applets"><img src="https://repogeo.com/badge/google-gemini/starter-applets.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

google-gemini/starter-applets — 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