RRepoGEO

REPOGEO REPORT · LITE

aws-samples/sample-mobile-ai-assistant

Default branch main · commit fa057d13 · scanned 6/24/2026, 12:37:04 PM

GitHub: 830 stars · 122 forks

AI VISIBILITY SCORE
22 /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
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 aws-samples/sample-mobile-ai-assistant, 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 tagline to clarify its purpose as a sample application

    Why:

    CURRENT
    > 🚀 Your Personal AI Workspace — Chat, Create Apps, and More
    COPY-PASTE FIX
    > 🚀 A comprehensive demonstration for mobile developers to build AI assistants with React Native and AWS.
  • highabout#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    A URL to a live demo, a relevant AWS blog post, or the repository itself if no other external link is suitable.
  • mediumtopics#3
    Add more specific topics to emphasize its nature as a sample application

    Why:

    CURRENT
    amazon-bedrock, amazon-nova, android, aws, chat, claude-4-sonnet, deepseek, ios, mac, mobile-app, ollama, react-native, sample-vif-chat-app, speech-to-speech, vif-chat, vifchat, virtual-try-on
    COPY-PASTE FIX
    amazon-bedrock, amazon-nova, android, aws, chat, claude-4-sonnet, deepseek, ios, mac, mobile-app, ollama, react-native, sample-vif-chat-app, speech-to-speech, vif-chat, vifchat, virtual-try-on, sample-app, demo-application, aws-sample-app, ai-assistant-app

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 aws-samples/sample-mobile-ai-assistant
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
React Native
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. React Native · recommended 1×
  2. Flutter · recommended 1×
  3. Expo · recommended 1×
  4. Ionic · recommended 1×
  5. NativeScript · recommended 1×
  • CATEGORY QUERY
    Seeking a cross-platform mobile framework for building an interactive AI chat assistant.
    you: not recommended
    AI recommended (in order):
    1. React Native
    2. Flutter
    3. Expo
    4. Ionic
    5. NativeScript

    AI recommended 5 alternatives but never named aws-samples/sample-mobile-ai-assistant. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools enable real-time AI conversations, image generation, and voice interaction in mobile apps?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud AI Platform
    2. Vertex AI
    3. Dialogflow CX
    4. Cloud Text-to-Speech
    5. Cloud Speech-to-Text
    6. Firebase
    7. AWS Amplify
    8. Amazon Polly
    9. Amazon Lex
    10. Amazon Rekognition
    11. Amazon SageMaker
    12. Amazon Transcribe
    13. OpenAI API
    14. ChatGPT API
    15. DALL-E 3 API
    16. Whisper API
    17. Azure AI Services
    18. Azure Bot Service
    19. Azure Cognitive Services Speech
    20. Azure OpenAI Service
    21. Azure Machine Learning
    22. Hugging Face Transformers
    23. FastAPI
    24. Node.js Express
    25. Google Cloud Run
    26. AWS Lambda
    27. Azure Container Apps
    28. DeepMotion

    AI recommended 28 alternatives but never named aws-samples/sample-mobile-ai-assistant. 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 aws-samples/sample-mobile-ai-assistant?
    pass
    AI did not name aws-samples/sample-mobile-ai-assistant — 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 aws-samples/sample-mobile-ai-assistant in production, what risks or prerequisites should they evaluate first?
    pass
    AI named aws-samples/sample-mobile-ai-assistant 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 aws-samples/sample-mobile-ai-assistant solve, and who is the primary audience?
    pass
    AI did not name aws-samples/sample-mobile-ai-assistant — 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?

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