RRepoGEO

REPOGEO REPORT · LITE

awslabs/fullstack-solution-template-for-agentcore

Default branch main · commit 2b1155f9 · scanned 6/9/2026, 2:38:20 AM

GitHub: 512 stars · 148 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 awslabs/fullstack-solution-template-for-agentcore, 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 and opening paragraph for clarity

    Why:

    CURRENT
    # Fullstack AgentCore Solution Template (FAST)

_Author's note: for the official name for this solution is the "Fullstack Solution Template for Agentcore" but it is referred to throughout this code base as FAST for convenience._

The Fullstack AgentCore Solution Template (FAST) is a starter project repository that enables users (delivery scientists and engineers) to quickly deploy a secured, web-accessible React frontend connected to an AgentCore backend. Its purpose is to accelerate building full stack applications on AgentCore from weeks to days by handling the undifferentiated heavy lifting of infrastructure setup and to enable vibe-coding style development on top. The only central dependency of FAST is AgentCore. It is agnostic to agent SDK (Strands, LangGraph, etc) and to coding assistant platforms (Q, Kiro, Cline, Claude Code, etc).
    COPY-PASTE FIX
    # Fullstack Solution Template for AWS Bedrock AgentCore (FAST)

The Fullstack Solution Template for AWS Bedrock AgentCore (FAST) is a production-ready starter project designed to accelerate the deployment of secured, web-accessible React frontend applications connected to an AgentCore backend. It provides a flexible, opinionated architecture for any AI agent use case on Amazon Bedrock AgentCore, handling infrastructure setup to enable rapid development.
  • mediumtopics#2
    Add `bedrock` and `amazon-bedrock` to topics

    Why:

    CURRENT
    agent, agentcore, agentic-ai, ai, artificial-intelligence, aws, cdk, full-stack, fullstack, infrastructure-as-code, react, runtime, template
    COPY-PASTE FIX
    agent, agentcore, agentic-ai, ai, artificial-intelligence, aws, bedrock, amazon-bedrock, cdk, full-stack, fullstack, infrastructure-as-code, react, runtime, template
  • lowreadme#3
    Add explicit link to AWS Bedrock AgentCore homepage in README

    Why:

    COPY-PASTE FIX
    For more details on AgentCore, visit the official [AWS Bedrock AgentCore homepage](https://aws.amazon.com/bedrock/agentcore/).

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 awslabs/fullstack-solution-template-for-agentcore
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Vercel
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Vercel · recommended 2×
  2. Google Cloud Run · recommended 1×
  3. Firebase Authentication · recommended 1×
  4. Firebase Firestore · recommended 1×
  5. Firebase Realtime Database · recommended 1×
  • CATEGORY QUERY
    How to quickly deploy a secured full-stack application with an AI agent backend?
    you: not recommended
    AI recommended (in order):
    1. Vercel
    2. Google Cloud Run
    3. Firebase Authentication
    4. Firebase Firestore
    5. Firebase Realtime Database
    6. OpenAI API
    7. AWS Amplify
    8. AWS Lambda
    9. Amazon Cognito
    10. Amazon DynamoDB
    11. Amazon Bedrock
    12. Netlify
    13. Render
    14. Auth0
    15. Railway
    16. Supabase
    17. Heroku
    18. Heroku Postgres

    AI recommended 18 alternatives but never named awslabs/fullstack-solution-template-for-agentcore. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a flexible full-stack template for deploying AI agent use cases in production.
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. FastAPI (tiangolo/fastapi)
    3. Next.js (vercel/next.js)
    4. Streamlit (streamlit/streamlit)
    5. LlamaIndex (run-llama/llama_index)
    6. Flask (pallets/flask)
    7. React (facebook/react)
    8. Hugging Face Spaces
    9. Gradio (gradio-app/gradio)
    10. Django (django/django)
    11. HTMX (bigskysoftware/htmx)
    12. Alpine.js (alpinejs/alpine)
    13. Vercel AI SDK (vercel/ai)
    14. Vercel

    AI recommended 14 alternatives but never named awslabs/fullstack-solution-template-for-agentcore. 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 awslabs/fullstack-solution-template-for-agentcore?
    pass
    AI named awslabs/fullstack-solution-template-for-agentcore explicitly

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

  • If a team adopts awslabs/fullstack-solution-template-for-agentcore in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name awslabs/fullstack-solution-template-for-agentcore — 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?

  • In one sentence, what problem does the repo awslabs/fullstack-solution-template-for-agentcore solve, and who is the primary audience?
    pass
    AI did not name awslabs/fullstack-solution-template-for-agentcore — 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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  • Brand-free category queries5 vs 2 in Lite
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