RRepoGEO

REPOGEO REPORT · LITE

aws-samples/sample-vif-chat-app

Default branch main · commit 555be944 · scanned 6/16/2026, 4:57:27 PM

GitHub: 826 stars · 119 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-vif-chat-app, 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 clarify its role as a client-side AI assistant app

    Why:

    CURRENT
    # Sample Vif Chat App — A Cross-platform AI Assistant
    COPY-PASTE FIX
    # VifChat: A Cross-platform AI Assistant App (React Native) for LLMs & AI Image Generation
  • highhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    (Add the official project homepage URL, e.g., a demo site or documentation portal)
  • mediumtopics#3
    Add more specific topics to improve category visibility

    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, ai-assistant, llm, generative-ai, image-generation, voice-assistant, cross-platform, web-app-creation

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-vif-chat-app
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 2×
  2. Flutter · recommended 1×
  3. Firebase · recommended 1×
  4. Google Cloud AI Platform · recommended 1×
  5. Vertex AI · recommended 1×
  • CATEGORY QUERY
    How to build a cross-platform mobile AI assistant with voice and image generation?
    you: not recommended
    AI recommended (in order):
    1. Flutter
    2. Firebase
    3. Google Cloud AI Platform
    4. Vertex AI
    5. Google Cloud Speech-to-Text API
    6. Google Cloud Text-to-Speech API
    7. Imagen
    8. Stable Diffusion
    9. Dialogflow CX
    10. Dialogflow ES
    11. React Native
    12. AWS Amplify
    13. AWS AppSync
    14. DynamoDB
    15. AWS Lambda
    16. Amazon Transcribe
    17. Amazon Polly
    18. Amazon SageMaker
    19. Amazon Lex
    20. Kotlin Multiplatform Mobile (KMM)
    21. Azure Mobile Apps
    22. Azure App Service
    23. Azure Functions
    24. Azure Cognitive Services Speech-to-Text
    25. Azure Cognitive Services Text-to-Speech
    26. Azure Machine Learning
    27. Azure OpenAI Service
    28. DALL-E 2
    29. DALL-E 3
    30. Azure Bot Service
    31. Language Understanding (LUIS)
    32. SwiftUI
    33. Jetpack Compose
    34. OpenAI API
    35. GPT-4
    36. GPT-3.5 Turbo
    37. Apple's Speech framework
    38. Android's SpeechRecognizer
    39. ElevenLabs
    40. Node.js
    41. Python
    42. Express
    43. FastAPI
    44. Ionic
    45. Capacitor

    AI recommended 45 alternatives but never named aws-samples/sample-vif-chat-app. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a framework to integrate various large language models into a mobile chat app.
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Hugging Face Transformers (huggingface/transformers)
    4. OpenAI API
    5. Google AI Studio / Gemini API
    6. Microsoft Azure OpenAI Service

    AI recommended 6 alternatives but never named aws-samples/sample-vif-chat-app. 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-vif-chat-app?
    pass
    AI did not name aws-samples/sample-vif-chat-app — 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-vif-chat-app in production, what risks or prerequisites should they evaluate first?
    pass
    AI named aws-samples/sample-vif-chat-app 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-vif-chat-app solve, and who is the primary audience?
    pass
    AI did not name aws-samples/sample-vif-chat-app — 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

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  • Brand-free category queries5 vs 2 in Lite
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