Back to Catalog

Analyze websites for UX & SEO quality with Airtop, GPT-4 Mini, and Gmail

LukaszBLukaszB
667 views
2/3/2026
Official Page

UX & SEO Website Analyst (Airtop + OpenAI + Gmail)

This workflow automatically analyzes a website for UX and SEO quality. It uses Airtop for realistic web scraping, OpenAI for structured evaluation of metadata (title, description, and overall SEO signals), and Gmail to send professional reports.

What it does

  • Scrapes website content and metadata through an Airtop session.
  • Evaluates SEO and UX factors (strengths, weaknesses, recommendations) with OpenAI.
  • Generates a clear, structured report.
  • Sends the report automatically via Gmail.

Use cases

  • Marketing agencies auditing client websites.
  • Freelancers offering SEO/UX review services.
  • Businesses monitoring their own website performance.

Requirements

  • Airtop account with API access.
  • OpenAI API key.
  • Gmail credentials connected in n8n.

How it works

  • Start the flow with a target website URL.
  • Airtop opens a session and scrapes metadata naturally.
  • OpenAI analyzes and scores the title, description, and overall quality.
  • Gmail sends a formatted report to your chosen recipient.

Set up steps

  • Connect Airtop, OpenAI, and Gmail credentials in n8n.
  • Provide the target URL to analyze.
  • Run the workflow and review the email report.
  • Keep detailed instructions inside sticky notes in the workflow.

Analyze Websites for UX & SEO Quality with Airtop, GPT-4 Mini, and Gmail

This n8n workflow automates the process of analyzing a website for UX and SEO quality using Airtop, a GPT-4 Mini model, and then sends the analysis results via Gmail. It's triggered by a form submission, making it easy to initiate website reviews on demand.

What it does

  1. Triggers on Form Submission: The workflow starts when a user submits a form, likely containing the URL of the website to be analyzed.
  2. Extracts Website Content: It uses an HTTP Request to fetch the content of the submitted website URL.
  3. Parses HTML: The fetched HTML content is then processed to extract relevant text.
  4. Prepares Data for AI Analysis: Uses a "Set" node to structure the extracted text and the original URL, preparing it for the AI agent.
  5. Analyzes with AI Agent (GPT-4 Mini): An AI Agent node (likely configured with a GPT-4 Mini model via Langchain) performs a comprehensive UX and SEO quality analysis of the website content.
  6. Structures AI Output: A Structured Output Parser node ensures the AI's response is formatted consistently (e.g., JSON).
  7. Sends Analysis via Gmail: The final, structured analysis report is sent to a specified email address using Gmail.

Prerequisites/Requirements

  • n8n Instance: A running n8n instance.
  • Airtop Account & API Key: Required for the Airtop node (though its specific use isn't detailed in this JSON, it's present in the workflow).
  • OpenAI API Key: For the GPT-4 Mini model used by the Langchain AI Agent.
  • Gmail Account: Configured as a credential in n8n to send emails.
  • Langchain Credentials: For the AI Agent and Basic LLM Chain nodes.

Setup/Usage

  1. Import the workflow: Download the provided JSON and import it into your n8n instance.
  2. Configure Credentials:
    • Gmail: Set up your Gmail OAuth2 or API key credentials.
    • Airtop: Configure your Airtop API key.
    • OpenAI: Set up your OpenAI API key for the Langchain nodes.
  3. Configure the "On Form Submission" Trigger:
    • Access the "On form submission" node.
    • Generate a new webhook URL if you haven't already.
    • Integrate this webhook URL into your desired form (e.g., a Google Form, a custom web form) that collects the website URL to be analyzed.
  4. Customize Email Details (Gmail node):
    • Open the "Gmail" node.
    • Specify the recipient email address, subject, and customize the email body to include the AI analysis results.
  5. Customize AI Prompt (AI Agent/Basic LLM Chain):
    • Review the "AI Agent" and "Basic LLM Chain" nodes.
    • Adjust the prompts to guide the GPT-4 Mini model on the specific aspects of UX and SEO quality you want it to analyze.
  6. Activate the workflow: Once configured, activate the workflow.

Now, every time your form is submitted with a website URL, the workflow will automatically fetch, analyze, and email the UX and SEO quality report.

Related Templates

Auto-create TikTok videos with VEED.io AI avatars, ElevenLabs & GPT-4

πŸ’₯ Viral TikTok Video Machine: Auto-Create Videos with Your AI Avatar --- 🎯 Who is this for? This workflow is for content creators, marketers, and agencies who want to use Veed.io’s AI avatar technology to produce short, engaging TikTok videos automatically. It’s ideal for creators who want to appear on camera without recording themselves, and for teams managing multiple brands who need to generate videos at scale. --- βš™οΈ What problem this workflow solves Manually creating videos for TikTok can take hours β€” finding trends, writing scripts, recording, and editing. By combining Veed.io, ElevenLabs, and GPT-4, this workflow transforms a simple Telegram input into a ready-to-post TikTok video featuring your AI avatar powered by Veed.io β€” speaking naturally with your cloned voice. --- πŸš€ What this workflow does This automation links Veed.io’s video-generation API with multiple AI tools: Analyzes TikTok trends via Perplexity AI Writes a 10-second viral script using GPT-4 Generates your voiceover via ElevenLabs Uses Veed.io (Fabric 1.0 via FAL.ai) to animate your avatar and sync the lips to the voice Creates an engaging caption + hashtags for TikTok virality Publishes the video automatically via Blotato TikTok API Logs all results to Google Sheets for tracking --- 🧩 Setup Telegram Bot Create your bot via @BotFather Configure it as the trigger for sending your photo and theme Connect Veed.io Create an account on Veed.io Get your FAL.ai API key (Veed Fabric 1.0 model) Use HTTPS image/audio URLs compatible with Veed Fabric Other APIs Add Perplexity, ElevenLabs, and Blotato TikTok keys Connect your Google Sheet for logging results --- πŸ› οΈ How to customize this workflow Change your Avatar: Upload a new image through Telegram, and Veed.io will generate a new talking version automatically. Modify the Script Style: Adjust the GPT prompt for tone (educational, funny, storytelling). Adjust Voice Tone: Tweak ElevenLabs stability and similarity settings. Expand Platforms: Add Instagram, YouTube Shorts, or X (Twitter) posting nodes. Track Performance: Customize your Google Sheet to measure your most successful Veed.io-based videos. --- 🧠 Expected Outcome In just a few seconds after sending your photo and theme, this workflow β€” powered by Veed.io β€” creates a fully automated TikTok video featuring your AI avatar with natural lip-sync and voice. The result is a continuous stream of viral short videos, made without cameras, editing, or effort. --- βœ… Import the JSON file in n8n, add your API keys (including Veed.io via FAL.ai), and start generating viral TikTok videos starring your AI avatar today! πŸŽ₯ Watch This Tutorial --- πŸ“„ Documentation: Notion Guide Need help customizing? Contact me for consulting and support : Linkedin / Youtube

Dr. FirasBy Dr. Firas
39510

Two-way property repair management system with Google Sheets & Drive

This workflow automates the repair request process between tenants and building managers, keeping all updates organized in a single spreadsheet. It is composed of two coordinated workflows, as two separate triggers are required β€” one for new repair submissions and another for repair updates. A Unique Unit ID that corresponds to individual units is attributed to each request, and timestamps are used to coordinate repair updates with specific requests. General use cases include: Property managers who manage multiple buildings or units. Building owners looking to centralize tenant repair communication. Automation builders who want to learn multi-trigger workflow design in n8n. --- βš™οΈ How It Works Workflow 1 – New Repair Requests Behind the Scenes: A tenant fills out a Google Form (β€œRepair Request Form”), which automatically adds a new row to a linked Google Sheet. Steps: Trigger: Google Sheets rowAdded – runs when a new form entry appears. Extract & Format: Collects all relevant form data (address, unit, urgency, contacts). Generate Unit ID: Creates a standardized identifier (e.g., BUILDING-UNIT) for tracking. Email Notification: Sends the building manager a formatted email summarizing the repair details and including a link to a Repair Update Form (which activates Workflow 2). --- Workflow 2 – Repair Updates Behind the Scenes:\ Triggered when the building manager submits a follow-up form (β€œRepair Update Form”). Steps: Lookup by UUID: Uses the Unit ID from Workflow 1 to find the existing row in the Google Sheet. Conditional Logic: If photos are uploaded: Saves each image to a Google Drive folder, renames files consistently, and adds URLs to the sheet. If no photos: Skips the upload step and processes textual updates only. Merge & Update: Combines new data with existing repair info in the same spreadsheet row β€” enabling a full repair history in one place. --- 🧩 Requirements Google Account (for Forms, Sheets, and Drive) Gmail/email node connected for sending notifications n8n credentials configured for Google API access --- ⚑ Setup Instructions (see more detail in workflow) Import both workflows into n8n, then copy one into a second workflow. Change manual trigger in workflow 2 to a n8n Form node. Connect Google credentials to all nodes. Update spreadsheet and folder IDs in the corresponding nodes. Customize email text, sender name, and form links for your organization. Test each workflow with a sample repair request and a repair update submission. --- πŸ› οΈ Customization Ideas Add Slack or Telegram notifications for urgent repairs. Auto-create folders per building or unit for photo uploads. Generate monthly repair summaries using Google Sheets triggers. Add an AI node to create summaries/extract relevant repair data from repair request that include long submissions.

Matt@VeraisonLabsBy Matt@VeraisonLabs
208

Automate invoice processing with OCR, GPT-4 & Salesforce opportunity creation

PDF Invoice Extractor (AI) End-to-end pipeline: Watch Drive ➜ Download PDF ➜ OCR text ➜ AI normalize to JSON ➜ Upsert Buyer (Account) ➜ Create Opportunity ➜ Map Products ➜ Create OLI via Composite API ➜ Archive to OneDrive. --- Node by node (what it does & key setup) 1) Google Drive Trigger Purpose: Fire when a new file appears in a specific Google Drive folder. Key settings: Event: fileCreated Folder ID: google drive folder id Polling: everyMinute Creds: googleDriveOAuth2Api Output: Metadata { id, name, ... } for the new file. --- 2) Download File From Google Purpose: Get the file binary for processing and archiving. Key settings: Operation: download File ID: ={{ $json.id }} Creds: googleDriveOAuth2Api Output: Binary (default key: data) and original metadata. --- 3) Extract from File Purpose: Extract text from PDF (OCR as needed) for AI parsing. Key settings: Operation: pdf OCR: enable for scanned PDFs (in options) Output: JSON with OCR text at {{ $json.text }}. --- 4) Message a model (AI JSON Extractor) Purpose: Convert OCR text into strict normalized JSON array (invoice schema). Key settings: Node: @n8n/n8n-nodes-langchain.openAi Model: gpt-4.1 (or gpt-4.1-mini) Message role: system (the strict prompt; references {{ $json.text }}) jsonOutput: true Creds: openAiApi Output (per item): $.message.content β†’ the parsed JSON (ensure it’s an array). --- 5) Create or update an account (Salesforce) Purpose: Upsert Buyer as Account using an external ID. Key settings: Resource: account Operation: upsert External Id Field: taxid_c External Id Value: ={{ $json.message.content.buyer.tax_id }} Name: ={{ $json.message.content.buyer.name }} Creds: salesforceOAuth2Api Output: Account record (captures Id) for downstream Opportunity. --- 6) Create an opportunity (Salesforce) Purpose: Create Opportunity linked to the Buyer (Account). Key settings: Resource: opportunity Name: ={{ $('Message a model').item.json.message.content.invoice.code }} Close Date: ={{ $('Message a model').item.json.message.content.invoice.issue_date }} Stage: Closed Won Amount: ={{ $('Message a model').item.json.message.content.summary.grand_total }} AccountId: ={{ $json.id }} (from Upsert Account output) Creds: salesforceOAuth2Api Output: Opportunity Id for OLI creation. --- 7) Build SOQL (Code / JS) Purpose: Collect unique product codes from AI JSON and build a SOQL query for PricebookEntry by Pricebook2Id. Key settings: pricebook2Id (hardcoded in script): e.g., 01sxxxxxxxxxxxxxxx Source lines: $('Message a model').first().json.message.content.products Output: { soql, codes } --- 8) Query PricebookEntries (Salesforce) Purpose: Fetch PricebookEntry.Id for each Product2.ProductCode. Key settings: Resource: search Query: ={{ $json.soql }} Creds: salesforceOAuth2Api Output: Items with Id, Product2.ProductCode (used for mapping). --- 9) Code in JavaScript (Build OLI payloads) Purpose: Join lines with PBE results and Opportunity Id ➜ build OpportunityLineItem payloads. Inputs: OpportunityId: ={{ $('Create an opportunity').first().json.id }} Lines: ={{ $('Message a model').first().json.message.content.products }} PBE rows: from previous node items Output: { body: { allOrNone:false, records:[{ OpportunityLineItem... }] } } Notes: Converts discount_total ➜ per-unit if needed (currently commented for standard pricing). Throws on missing PBE mapping or empty lines. --- 10) Create Opportunity Line Items (HTTP Request) Purpose: Bulk create OLIs via Salesforce Composite API. Key settings: Method: POST URL: https://<your-instance>.my.salesforce.com/services/data/v65.0/composite/sobjects Auth: salesforceOAuth2Api (predefined credential) Body (JSON): ={{ $json.body }} Output: Composite API results (per-record statuses). --- 11) Update File to One Drive Purpose: Archive the original PDF in OneDrive. Key settings: Operation: upload File Name: ={{ $json.name }} Parent Folder ID: onedrive folder id Binary Data: true (from the Download node) Creds: microsoftOneDriveOAuth2Api Output: Uploaded file metadata. --- Data flow (wiring) Google Drive Trigger β†’ Download File From Google Download File From Google β†’ Extract from File β†’ Update File to One Drive Extract from File β†’ Message a model Message a model β†’ Create or update an account Create or update an account β†’ Create an opportunity Create an opportunity β†’ Build SOQL Build SOQL β†’ Query PricebookEntries Query PricebookEntries β†’ Code in JavaScript Code in JavaScript β†’ Create Opportunity Line Items --- Quick setup checklist πŸ” Credentials: Connect Google Drive, OneDrive, Salesforce, OpenAI. πŸ“‚ IDs: Drive Folder ID (watch) OneDrive Parent Folder ID (archive) Salesforce Pricebook2Id (in the JS SOQL builder) 🧠 AI Prompt: Use the strict system prompt; jsonOutput = true. 🧾 Field mappings: Buyer tax id/name β†’ Account upsert fields Invoice code/date/amount β†’ Opportunity fields Product name must equal your Product2.ProductCode in SF. βœ… Test: Drop a sample PDF β†’ verify: AI returns array JSON only Account/Opportunity created OLI records created PDF archived to OneDrive --- Notes & best practices If PDFs are scans, enable OCR in Extract from File. If AI returns non-JSON, keep β€œReturn only a JSON array” as the last line of the prompt and keep jsonOutput enabled. Consider adding validation on parsing.warnings to gate Salesforce writes. For discounts/taxes in OLI: Standard OLI fields don’t support per-line discount amounts directly; model them in UnitPrice or custom fields. Replace the Composite API URL with your org’s domain or use the Salesforce node’s Bulk Upsert for simplicity.

Le NguyenBy Le Nguyen
942