Qualify & verify leads with Google Gemini and sync to HubSpot from Jotform
AI-Enhanced Lead Qualification & HubSpot Synchronization (Jotform to HubSpot) 🧠✨
Stop wasting time on bad leads and manual research. This advanced n8n workflow automates your entire lead qualification and CRM entry process for HubSpot, ensuring you only sync high-quality, pre-researched contacts.
When a prospect submits your form, this automation immediately:
- Verifies the lead's email using Verifalia to ensure deliverability.
- Performs an AI-powered website crawl to extract and structure key competitive information like the prospect's Company Name, Industry, Country, and a Website Summary.
- Uses Google Gemini to create an instant, personalized summary of the lead's potential, acting as your virtual sales assistant.
- Finally, it creates or updates the comprehensive, enhanced contact record in HubSpot CRM and sends a smart Gmail notification to your sales team with the AI summary for immediate, informed follow-up.
How it Works
This automation turns raw form submissions into fully enriched, sales-ready contacts in HubSpot:
- Lead Capture (Jotform): A prospect fills out your Jotform with their details, triggering the workflow instantly.
- Email Verification (Verifalia): The email address is sent to the Verifalia API. Only verified, deliverable emails are allowed to proceed, eliminating bad data from your HubSpot portal.
- Website Crawl & Data Extraction (HTTP Request & AI): The workflow accesses the prospect's website and uses an Information Extractor (powered by an underlying Language Model like Google Gemini or similar AI) to automatically pull essential business data like Industry and Company Name.
- AI Lead Scoring & Summarization (Google Gemini): All captured and enriched data is fed to the Google Gemini model. The AI acts as a smart assistant, analyzing the lead's profile to generate a short, prospective summary for your sales team.
- HubSpot Synchronization: The final, enriched contact data (including all AI-extracted fields) is used to either create a new contact or update an existing one in your HubSpot CRM.
- Intelligent Internal Notification (Gmail): Your sales team receives an immediate internal email. This alert contains the raw lead data plus the critical AI-generated summary, allowing them to prioritize and personalize their follow-up immediately.
Requirements
To set up this intelligent lead funnel, you'll need the following accounts and credentials configured in your n8n instance:
- Jotform Credentials: An API Key for the JotForm Trigger. Sign up for Jotform here: https://www.jotform.com/?partner=zainurrehman
- Verifalia Credentials: An API Key for the Lead Verification node.
- AI/Language Model Credentials: Credentials for the Information Extractor and Message a model (e.g., Google Gemini/PaLM API Key) to perform website research and summarization.
- HubSpot Credentials: An OAuth2 or API Key credential for the HubSpot node to manage contacts.
- Gmail Credentials: An OAuth2 credential for the Gmail node to send internal notifications.
- Jotform: An active form containing the necessary fields: First Name, Last Name, Email, Phone, Website, and Note.
Qualify and Verify Leads with Google Gemini, Sync to HubSpot, and Notify via Email from Jotform
This n8n workflow automates the process of receiving new lead submissions from Jotform, enriching and verifying lead information using Google Gemini's AI capabilities, and then syncing the qualified leads to HubSpot. It also includes a notification mechanism via email.
What it does
This workflow streamlines your lead management by:
- Triggering on New Jotform Submissions: Automatically starts when a new form is submitted through Jotform.
- Extracting Information with AI: Utilizes the Google Gemini Chat Model and Information Extractor to intelligently parse and structure relevant lead data from the Jotform submission.
- Verifying Lead Data: Employs an HTTP Request node to potentially perform external lookups or verifications based on the extracted information (e.g., checking email validity, company details).
- Qualifying Leads with Google Gemini: Leverages Google Gemini to analyze the extracted and verified information to qualify the lead based on predefined criteria or AI-driven assessment.
- Creating/Updating Contacts in HubSpot: Syncs the qualified lead information to HubSpot, creating new contacts or updating existing ones.
- Sending Email Notifications: Notifies relevant stakeholders (e.g., sales team) via Gmail about the new qualified lead.
Prerequisites/Requirements
To use this workflow, you will need:
- n8n Account: A running instance of n8n.
- Jotform Account: With a form configured to capture lead information.
- Google Gemini API Key: For the Google Gemini Chat Model and Google Gemini nodes.
- HubSpot Account: With appropriate API access to create/update contacts.
- Gmail Account: For sending email notifications.
- Credentials: Configured n8n credentials for Jotform, Google Gemini, HubSpot, and Gmail.
Setup/Usage
- Import the workflow: Download the provided JSON and import it into your n8n instance.
- Configure Jotform Trigger:
- Select your Jotform credential.
- Choose the specific form you want to monitor for new submissions.
- Configure Google Gemini Nodes:
- Ensure your Google Gemini API key is set up as a credential in n8n.
- Review and adjust the prompts for the "Google Gemini Chat Model" and "Information Extractor" nodes to accurately extract and qualify lead data according to your business rules.
- Configure HTTP Request:
- If external verification is needed, update the "HTTP Request" node with the appropriate API endpoint, headers, and body to perform the lookup.
- Configure HubSpot Node:
- Select your HubSpot credential.
- Map the extracted lead data from previous nodes to the correct HubSpot contact properties.
- Define whether to create new contacts or update existing ones.
- Configure Gmail Node:
- Select your Gmail credential.
- Specify the recipient email address(es), subject, and body for the notification email. You can use expressions to include lead details from previous nodes.
- Activate the Workflow: Once all nodes are configured, activate the workflow to start processing new Jotform submissions.
Related Templates
Track competitor SEO keywords with Decodo + GPT-4.1-mini + Google Sheets
This workflow automates competitor keyword research using OpenAI LLM and Decodo for intelligent web scraping. Who this is for SEO specialists, content strategists, and growth marketers who want to automate keyword research and competitive intelligence. Marketing analysts managing multiple clients or websites who need consistent SEO tracking without manual data pulls. Agencies or automation engineers using Google Sheets as an SEO data dashboard for keyword monitoring and reporting. What problem this workflow solves Tracking competitor keywords manually is slow and inconsistent. Most SEO tools provide limited API access or lack contextual keyword analysis. This workflow solves that by: Automatically scraping any competitor’s webpage with Decodo. Using OpenAI GPT-4.1-mini to interpret keyword intent, density, and semantic focus. Storing structured keyword insights directly in Google Sheets for ongoing tracking and trend analysis. What this workflow does Trigger — Manually start the workflow or schedule it to run periodically. Input Setup — Define the website URL and target country (e.g., https://dev.to, france). Data Scraping (Decodo) — Fetch competitor web content and metadata. Keyword Analysis (OpenAI GPT-4.1-mini) Extract primary and secondary keywords. Identify focus topics and semantic entities. Generate a keyword density summary and SEO strength score. Recommend optimization and internal linking opportunities. Data Structuring — Clean and convert GPT output into JSON format. Data Storage (Google Sheets) — Append structured keyword data to a Google Sheet for long-term tracking. Setup Prerequisites If you are new to Decode, please signup on this link visit.decodo.com n8n account with workflow editor access Decodo API credentials OpenAI API key Google Sheets account connected via OAuth2 Make sure to install the Decodo Community node. Create a Google Sheet Add columns for: primarykeywords, seostrengthscore, keyworddensity_summary, etc. Share with your n8n Google account. Connect Credentials Add credentials for: Decodo API credentials - You need to register, login and obtain the Basic Authentication Token via Decodo Dashboard OpenAI API (for GPT-4o-mini) Google Sheets OAuth2 Configure Input Fields Edit the “Set Input Fields” node to set your target site and region. Run the Workflow Click Execute Workflow in n8n. View structured results in your connected Google Sheet. How to customize this workflow Track Multiple Competitors → Use a Google Sheet or CSV list of URLs; loop through them using the Split In Batches node. Add Language Detection → Add a Gemini or GPT node before keyword analysis to detect content language and adjust prompts. Enhance the SEO Report → Expand the GPT prompt to include backlink insights, metadata optimization, or readability checks. Integrate Visualization → Connect your Google Sheet to Looker Studio for SEO performance dashboards. Schedule Auto-Runs → Use the Cron Node to run weekly or monthly for competitor keyword refreshes. Summary This workflow automates competitor keyword research using: Decodo for intelligent web scraping OpenAI GPT-4.1-mini for keyword and SEO analysis Google Sheets for live tracking and reporting It’s a complete AI-powered SEO intelligence pipeline ideal for teams that want actionable insights on keyword gaps, optimization opportunities, and content focus trends, without relying on expensive SEO SaaS tools.
Generate song lyrics and music from text prompts using OpenAI and Fal.ai Minimax
Spark your creativity instantly in any chat—turn a simple prompt like "heartbreak ballad" into original, full-length lyrics and a professional AI-generated music track, all without leaving your conversation. 📋 What This Template Does This chat-triggered workflow harnesses AI to generate detailed, genre-matched song lyrics (at least 600 characters) from user messages, then queues them for music synthesis via Fal.ai's minimax-music model. It polls asynchronously until the track is ready, delivering lyrics and audio URL back in chat. Crafts original, structured lyrics with verses, choruses, and bridges using OpenAI Submits to Fal.ai for melody, instrumentation, and vocals aligned to the style Handles long-running generations with smart looping and status checks Returns complete song package (lyrics + audio link) for seamless sharing 🔧 Prerequisites n8n account (self-hosted or cloud with chat integration enabled) OpenAI account with API access for GPT models Fal.ai account for AI music generation 🔑 Required Credentials OpenAI API Setup Go to platform.openai.com → API keys (sidebar) Click "Create new secret key" → Name it (e.g., "n8n Songwriter") Copy the key and add to n8n as "OpenAI API" credential type Test by sending a simple chat completion request Fal.ai HTTP Header Auth Setup Sign up at fal.ai → Dashboard → API Keys Generate a new API key → Copy it In n8n, create "HTTP Header Auth" credential: Name="Fal.ai", Header Name="Authorization", Header Value="Key [Your API Key]" Test with a simple GET to their queue endpoint (e.g., /status) ⚙️ Configuration Steps Import the workflow JSON into your n8n instance Assign OpenAI API credentials to the "OpenAI Chat Model" node Assign Fal.ai HTTP Header Auth to the "Generate Music Track", "Check Generation Status", and "Fetch Final Result" nodes Activate the workflow—chat trigger will appear in your n8n chat interface Test by messaging: "Create an upbeat pop song about road trips" 🎯 Use Cases Content Creators: YouTubers generating custom jingles for videos on the fly, streamlining production from idea to audio export Educators: Music teachers using chat prompts to create era-specific folk tunes for classroom discussions, fostering interactive learning Gift Personalization: Friends crafting anniversary R&B tracks from shared memories via quick chats, delivering emotional audio surprises Artist Brainstorming: Songwriters prototyping hip-hop beats in real-time during sessions, accelerating collaboration and iteration ⚠️ Troubleshooting Invalid JSON from AI Agent: Ensure the system prompt stresses valid JSON; test the agent standalone with a sample query Music Generation Fails (401/403): Verify Fal.ai API key has minimax-music access; check usage quotas in dashboard Status Polling Loops Indefinitely: Bump wait time to 45-60s for complex tracks; inspect fal.ai queue logs for bottlenecks Lyrics Under 600 Characters: Tweak agent prompt to enforce fuller structures like [V1][C][V2][B][C]; verify output length in executions
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 → 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 → Download File From Google Download File From Google → Extract from File → Update File to One Drive Extract from File → Message a model Message a model → Create or update an account Create or update an account → Create an opportunity Create an opportunity → Build SOQL Build SOQL → Query PricebookEntries Query PricebookEntries → Code in JavaScript Code in JavaScript → Create Opportunity Line Items --- Quick setup checklist 🔐 Credentials: Connect Google Drive, OneDrive, Salesforce, OpenAI. 📂 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 → Account upsert fields Invoice code/date/amount → Opportunity fields Product name must equal your Product2.ProductCode in SF. ✅ Test: Drop a sample PDF → 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 “Return 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.