RRepoGEO

REPOGEO REPORT · LITE

serverless/aws-ai-stack

Default branch main · commit 06192019 · scanned 6/19/2026, 3:18:26 AM

GitHub: 1,003 stars · 90 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
35 /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
3 / 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 serverless/aws-ai-stack, 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
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with the text of your chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0).
  • highreadme#2
    Strengthen the README's opening sentence to emphasize 'complete application boilerplate'

    Why:

    CURRENT
    **AWS AI Stack** – A ready-to-use, full-stack boilerplate project for building serverless AI applications on AWS.
    COPY-PASTE FIX
    **AWS AI Stack** provides a complete, ready-to-deploy full-stack boilerplate for building serverless AI applications on AWS, including an AI Chat bot, authentication, and business logic.
  • mediumtopics#3
    Add 'boilerplate' and 'starter-kit' to repository topics

    Why:

    CURRENT
    aws, aws-bedrock, aws-lambda, claude-ai, full-stack, llama3, serverless, serverless-framework
    COPY-PASTE FIX
    aws, aws-bedrock, aws-lambda, claude-ai, full-stack, llama3, serverless, serverless-framework, boilerplate, starter-kit

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 serverless/aws-ai-stack
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 2 of 2 queries
COMPETITOR LEADERBOARD
  1. AWS Lambda · recommended 2×
  2. Cloud Firestore · recommended 2×
  3. Azure Functions · recommended 2×
  4. Azure Cosmos DB · recommended 2×
  5. Vercel · recommended 2×
  • CATEGORY QUERY
    How to quickly build a full-stack serverless AI chatbot application on cloud?
    you: not recommended
    AI recommended (in order):
    1. AWS Amplify (aws-amplify/amplify-js)
    2. Amazon Lex
    3. AWS Lambda
    4. DynamoDB
    5. Google Cloud Dialogflow ES/CX
    6. Firebase
    7. Cloud Firestore
    8. Firebase Authentication
    9. Firebase Hosting
    10. Cloud Functions for Firebase
    11. Microsoft Azure Bot Service
    12. Azure Static Web Apps
    13. Azure Functions
    14. Azure Cosmos DB
    15. Vercel
    16. Netlify
    17. OpenAI API
    18. Next.js (vercel/next.js)
    19. React (facebook/react)
    20. Supabase (supabase/supabase)
    21. Deno (denoland/deno)

    AI recommended 21 alternatives but never named serverless/aws-ai-stack. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a robust boilerplate for secure serverless AI applications with LLM integration and data separation.
    you: not recommended
    AI recommended (in order):
    1. AWS Serverless Application Model (SAM)
    2. AWS Lambda
    3. Amazon S3
    4. Amazon DynamoDB
    5. Amazon API Gateway
    6. Amazon SageMaker
    7. Amazon Bedrock
    8. AWS Key Management Service (KMS)
    9. AWS Secrets Manager
    10. AWS WAF
    11. AWS PrivateLink
    12. Serverless Framework
    13. OpenAI API
    14. Hugging Face Inference Endpoints
    15. Google Cloud Functions
    16. Cloud Run
    17. Cloud Storage
    18. Cloud Firestore
    19. Cloud Endpoints
    20. API Gateway
    21. Vertex AI
    22. Google Secret Manager
    23. Cloud Armor
    24. Azure Functions
    25. Azure Container Apps
    26. Azure Blob Storage
    27. Azure Cosmos DB
    28. Azure API Management
    29. Azure OpenAI Service
    30. Azure Key Vault
    31. Azure Front Door
    32. Azure Application Gateway
    33. Vercel
    34. Netlify
    35. Next.js
    36. Nuxt.js
    37. PlanetScale
    38. Supabase

    AI recommended 38 alternatives but never named serverless/aws-ai-stack. 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 serverless/aws-ai-stack?
    pass
    AI named serverless/aws-ai-stack explicitly

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

  • If a team adopts serverless/aws-ai-stack in production, what risks or prerequisites should they evaluate first?
    pass
    AI named serverless/aws-ai-stack 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 serverless/aws-ai-stack solve, and who is the primary audience?
    pass
    AI named serverless/aws-ai-stack explicitly

    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 serverless/aws-ai-stack. 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/serverless/aws-ai-stack.svg)](https://repogeo.com/en/r/serverless/aws-ai-stack)
HTML
<a href="https://repogeo.com/en/r/serverless/aws-ai-stack"><img src="https://repogeo.com/badge/serverless/aws-ai-stack.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

serverless/aws-ai-stack — 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