RRepoGEO

REPOGEO REPORT · LITE

aws-samples/bedrock-chat

Default branch v3 · commit 535466d8 · scanned 5/25/2026, 7:33:00 AM

GitHub: 1,298 stars · 530 forks

AI VISIBILITY SCORE
28 /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
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 aws-samples/bedrock-chat, 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 statement to clarify its identity

    Why:

    CURRENT
    A multilingual generative AI platform powered by Amazon Bedrock.
    COPY-PASTE FIX
    A comprehensive, multilingual generative AI chatbot platform built as an AWS sample, demonstrating a production-ready reference architecture powered by Amazon Bedrock.
  • mediumhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://github.com/aws-samples/bedrock-chat
  • lowtopics#3
    Add topics that emphasize its role as a sample application and reference architecture

    Why:

    CURRENT
    aws, bedrock, chatbot, claude, docker, fastapi, generative-ai, lambda, llm, python, react, streaming-response, websockets
    COPY-PASTE FIX
    aws, bedrock, chatbot, claude, docker, fastapi, generative-ai, lambda, llm, python, react, streaming-response, websockets, reference-architecture, sample-application, full-stack

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/bedrock-chat
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
AWS Lambda
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. AWS Lambda · recommended 1×
  2. Amazon Bedrock · recommended 1×
  3. Amazon Kendra · recommended 1×
  4. Google Cloud Functions · recommended 1×
  5. Google Cloud Vertex AI · recommended 1×
  • CATEGORY QUERY
    How to implement a serverless generative AI chatbot with custom knowledge bases?
    you: not recommended
    AI recommended (in order):
    1. AWS Lambda
    2. Amazon Bedrock
    3. Amazon Kendra
    4. Google Cloud Functions
    5. Google Cloud Vertex AI
    6. Google Cloud Search
    7. Azure Functions
    8. Azure OpenAI Service
    9. Azure Cognitive Search
    10. Vercel
    11. Netlify
    12. OpenAI API
    13. Pinecone
    14. Weaviate (weaviate/weaviate)
    15. Hugging Face Inference Endpoints
    16. LangChain (langchain-ai/langchain)
    17. Chroma (chroma-core/chroma)
    18. FAISS (facebookresearch/faiss)

    AI recommended 18 alternatives but never named aws-samples/bedrock-chat. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a framework to build and share custom AI chat agents with real-time streaming?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. OpenAI Assistants API
    5. Microsoft Semantic Kernel
    6. Gradio
    7. Streamlit

    AI recommended 7 alternatives but never named aws-samples/bedrock-chat. 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/bedrock-chat?
    pass
    AI did not name aws-samples/bedrock-chat — 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/bedrock-chat in production, what risks or prerequisites should they evaluate first?
    pass
    AI named aws-samples/bedrock-chat 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/bedrock-chat solve, and who is the primary audience?
    pass
    AI named aws-samples/bedrock-chat 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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