🎬 Generate SEO-optimized PWA website with Google Gemini and deploy to S3

⚡ 7 views · 🎬 Content Creation & Video

Description

Generate SEO-Optimized PWA Website with AI and Deploy to S3

Who’s it for

This workflow is designed for agencies, freelancers, and businesses who want to generate production-ready static websites with built-in SEO optimization and PWA (Progressive Web App) capabilities — all without manual coding.

It is best suited for users who need landing pages, portfolios, event pages, or client microsites that are mobile-friendly, SEO-optimized, and installable as apps on any device.

What it does

This workflow collects website requirements via an n8n form, uses Google Gemini AI to generate a complete HTML page with SEO metadata and PWA components (service worker, manifest, offline support), assembles all files, uploads them to AWS S3, and sends the published URL via email.

Unlike basic AI website generators, this workflow produces three separate AI-generated outputs that are assembled into a complete, deployable package:

How it works

  1. Website Request Form — User fills out requirements (name, purpose, colors, content, keywords).
  2. Process Form Data — Workflow structures the input for AI processing.
  3. Generate SEO Metadata (Gemini AI) — Creates meta tags, Open Graph tags, Twitter cards, and JSON-LD structured data based on the site’s purpose and keywords.
  4. Generate Website HTML (Gemini AI) — Produces a complete, responsive HTML/CSS/JS page incorporating the SEO metadata.
  5. Generate PWA Components — Creates manifest.json and service-worker.js for offline capability and app-like behavior.
  6. Assemble All Files — Merges HTML, manifest, and service worker into a deployment-ready package.
  7. Convert to Binary — Prepares all files for S3 upload.
  8. Upload to S3 — Deploys all files (index.html, manifest.json, sw.js) with proper content types.
  9. Build Response — Constructs the live URL and deployment summary.
  10. Send Confirmation Email — Delivers the live URL, SEO report, and PWA installation instructions to the user.

Requirements

To use this workflow, you will need:

AWS Setup Guide

Step 1: Create an IAM User for n8n

  1. Go to AWS Console → IAM → Users → Create user
  2. User name: n8n-s3-uploader
  3. Attach the following custom policy:
{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Sid": "S3WebsiteUpload",
      "Effect": "Allow",
      "Action": [
        "s3:PutObject",
        "s3:PutObjectAcl",
        "s3:GetObject",
        "s3:ListBucket"
      ],
      "Resource": [
        "arn:aws:s3:::YOUR_BUCKET_NAME",
        "arn:aws:s3:::YOUR_BUCKET_NAME/*"
      ]
    }
  ]
}
  1. Create access key → Select “Application running outside AWS”
  2. Save the Access Key ID and Secret Access Key for n8n credential setup

Step 2: Create an S3 Bucket

  1. Go to AWS Console → S3 → Create bucket
  2. Bucket name: Choose a globally unique name (e.g., my-ai-websites-12345)
  3. Region: Select your preferred region
  4. Object Ownership: Select “ACLs enabled” → “Bucket owner preferred”
  5. Block Public Access: Uncheck “Block all public access” and acknowledge the warning
  6. Create bucket

Step 3: Enable Static Website Hosting

  1. Go to your bucket → Properties tab
  2. Scroll to “Static website hosting” → Edit
  3. Enable static website hosting
  4. Index document: index.html
  5. Error document: index.html (for PWA routing)
  6. Save changes
  7. Note the bucket website endpoint URL (e.g., http://YOUR_BUCKET_NAME.s3-website-REGION.amazonaws.com)

Step 4: Add Bucket Policy for Public Access

  1. Go to your bucket → Permissions tab
  2. Scroll to “Bucket policy” → Edit
  3. Paste the following policy:
{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Sid": "PublicReadGetObject",
      "Effect": "Allow",
      "Principal": "*",
      "Action": "s3:GetObject",
      "Resource": "arn:aws:s3:::YOUR_BUCKET_NAME/*"
    }
  ]
}
  1. Replace YOUR_BUCKET_NAME with your actual bucket name
  2. Save changes

Step 5: Configure n8n Credentials

  1. In n8n, go to Credentials → Add credential → AWS
  2. Enter the Access Key ID and Secret Access Key from Step 1
  3. Set the region to match your S3 bucket region
  4. Save the credential

Important limitations

How to set up

  1. Complete the AWS Setup Guide above.
  2. Add your Google Gemini API credential in n8n.
  3. Add your AWS credential in n8n (from Step 5 above).
  4. Update the S3 bucket name in the “Upload to S3” node.
  5. Update the bucket URL in the “Build Response” node.
  6. Configure Gmail OAuth2 credential (or replace with your email service).
  7. Activate the workflow and share the form URL.

How to customize

What makes this different

Most AI website generators create a basic HTML file. This workflow goes further:

FeatureBasic GeneratorThis Workflow
HTML/CSS/JSâś…âś…
SEO Meta Tags❌✅ (AI-generated)
Open Graph / Twitter Cards❌✅
Schema.org Structured Data❌✅ (JSON-LD)
PWA Support❌✅ (manifest + service worker)
Offline Capability❌✅
“Add to Home Screen”❌✅
Multiple AI Calls12 (specialized prompts)
Deployment Files1 (index.html)3+ (html + manifest + sw.js)

Security Considerations

Note: This workflow was built using Google Gemini AI and AWS S3 static website hosting. For production deployments, we recommend adding CloudFront for HTTPS, custom domains, and global CDN distribution.

đź”— Nodes Used

Convert to/from binary data, AWS S3, Gmail, Basic LLM Chain, n8n Form Trigger, Google Gemini Chat Model

đź“Ą Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup