Workflow Templates

What it does Customer support calls contain a wealth of valuable feedback and urgent issues, but manually reviewing audio files is inefficient. This workflow acts as an AI assistant for your call log, transforming unstructured audio recordings into structured, actionable data. It provides a clean summary, sentiment analysis, and a list of required actions for every call, eliminating the need for manual listening and ensuring key insights are never missed. How it works The workflow runs on a schedule to fully automate the call analysis process from start to finish. Fetch New Recordings: The workflow triggers on a schedule (e.g., every 5 minutes), searches a designated Google Drive folder for new call recordings, and downloads any new files it finds. Transcribe Audio: Each audio file is sent to the ElevenLabs API to be converted from speech to a text transcript. The result is then formatted into a conversational, multi-speaker format. AI-Powered Analysis: The transcript is passed to a Google Gemini node, which is prompted to return a structured JSON object. This JSON contains a complete analysis of the call, including speaker identification (agent_name, client_name), a summary, the client_sentiment, a call_topic, a department_tag, and a list of action_items. Log the Results: The complete, structured analysis output from Gemini is appended as a new row in a Google Sheet, creating a centralized log with all the extracted call details and the full transcript. Take Action: The workflow uses conditional logic based on the detected sentiment: Negative Sentiment: If a call was negative, an immediate alert containing the call summary and action items is sent to a manager's group on Telegram. Positive Sentiment: If a call was positive, a kudos message is sent to the support team's Telegram channel to celebrate good work. File Management: After processing, the original audio file is automatically moved to a separate "Processed" folder in Google Drive to ensure it isn’t analyzed again. Setup Instructions To configure this workflow, you will need to set up your file storage in Google Drive, create a Google Sheet for logging, and configure credentials for all connected services. Required Credentials Google: You will need Google OAuth2 credentials that have permission for Google Drive, Google Sheets, and the Google AI (Gemini) APIs. ElevenLabs: Sign up for an account at ElevenLabs and get your API Key. You will add this directly into the HTTP Request node for transcription. Telegram: Create a bot using the BotFather in Telegram to get your Bot Token. You will also need the specific Chat ID for the managers' channel and the team's channel. Step-by-Step Configuration Google Drive: Create two folders in your Google Drive: one named "Company - Support Call Recordings" and another named "Processed Recordings". Copy the unique Folder ID from the URL for each and paste it into the respective Google Drive nodes. Google Sheets: Create a new Google Sheet to log the results. In the first row, create the following headers exactly as written: Recording File, Sentiment, Department, Topic, Agent, Client, Summary, Actions, and Fulltext. Copy the Sheet ID from the URL and paste it into the "Log Recording Analysis" (Google Sheets) node. ElevenLabs Node: In the "Convert Speech To Text" (HTTP Request) node, make sure the URL is set to the correct ElevenLabs API endpoint for speech-to-text. Add your ElevenLabs API Key to the authentication header. Telegram Nodes: In the "Send Alert To Managers" node, enter the Chat ID for your managers' group. In the "Send Kudos to Team" node, enter the Chat ID for the main team channel. How to Adapt the Template This workflow is a powerful starting point. Based on your specific needs, you can customize the inputs, the AI analysis, the logging method, and the final actions. Input Method Change File Source:* Instead of Google Drive, you can adapt the workflow to fetch recordings from other services like *Dropbox, **OneDrive, or a custom FTP server. Use a Webhook:* Replace the *Schedule Trigger* with a *Webhook Trigger** to process calls in real-time as they are added from your call software (if it supports webhooks). Final Actions Create Service Tickets:* This is a key area for customization. Replace the *Telegram* nodes with nodes for ticketing systems. For a negative call, you can automatically create a high-priority ticket in *Jira, **Zendesk, or ServiceNow. Create Tasks:* For calls with specific action items, use a node like *Asana, **Trello, or Todoist to automatically create a task and assign it to the correct team member. Send Email Notifications:* Use the *Send Email** node to dispatch summaries and alerts to stakeholders who are not on Telegram. Logging and Analysis Log to a Database:* Instead of Google Sheets, you can use a *Postgres, **MySQL, or Data Warehouse node to log the structured data for more advanced business intelligence and dashboarding. Customize the AI Prompt:** The prompt in the Google Gemini node is the "brain" of the operation. It specifically instructs the AI to return a JSON object with a predefined structure. To change what data is extracted, you can modify this structure in the prompt. For example, you could add a new key-value pair like "competitor_mentioned": "Name of competitor if mentioned, otherwise null" to the JSON structure. The current workflow asks the AI to populate a JSON object like this: { "speaker_identification": { "agent": "speaker_id", "agent_name": "The agent's name", "client": "client_id", "client_name": "The client's name" }, "summary": "A concise summary.", "client_sentiment": "Positive, Negative, or Neutral", "call_topic": "A brief phrase for the topic.", "department_tag": "The most relevant department.", "action_items": [ "A list of actionable tasks." ] } Change AI or STT Service:* You can swap out the *Google Gemini* node for an *OpenAI* node, or change the *HTTP Request* node to use a different transcription service like *AssemblyAI* or *Deepgram**.

This workflow scrapes Google Maps via Decodo API, analyzes each business using Google Gemini 2.5 Flash, scores lead quality, and generates ready to send outreach emails. Why Use This Workflow? Time Savings:** Reduces manual lead research from 20 minutes per lead to 30 seconds processing 100 leads in under an hour Cost Reduction:** Eliminates $300-500/month spent on lead databases and enrichment tools like Apollo or ZoomInfo Scalability:** Process 500+ leads daily without additional staff or subscription costs Ideal For Sales Teams & BDRs:** Building targeted prospect lists for local businesses (restaurants, retail, service providers) with verified contact data and personalized outreach hooks Digital Marketing Agencies:** Identifying high-value clients in specific niches (e.g., "restaurants without websites in Chicago") and automating first-touch campaigns B2B SaaS Companies:** Finding businesses matching ideal customer profiles based on ratings, reviews, and digital maturity indicators Local Service Providers:** Generating qualified leads for web design, SEO, POS systems, or booking software tailored to underserved markets How It Works Trigger: Manually start the workflow or schedule it to run on specific intervals (e.g., daily/weekly) Data Collection: Scrapes Google Maps search results using Decodo API based on your query (e.g., "coffee shops in Austin"), country, and language settings Processing: Parses raw HTML responses into structured lead objects with business name, address, phone, website, ratings, reviews, and coordinates Intelligence Layer: Google Gemini 2.5 Flash analyzes each lead to generate value propositions, identify pain points, create outreach hooks, and assign a 1-10 quality score Output & Delivery: Filters leads scoring ≥7, generates personalized email templates, and saves all data to Google Sheets with enrichment timestamps Storage & Logging: Maintains complete lead database with outreach status tracking; error handler sends Telegram notifications for failed executions Setup Guide Prerequisites | Requirement | Type | Purpose | |-------------|------|---------| | n8n instance | Essential | Workflow execution platform | | Decodo Scraper API | Essential | Google Maps data extraction (get key at dashboard.decodo.com) | | Google Gemini API | Essential | AI-powered lead analysis and scoring | | Google Sheets | Essential | Lead database and outreach tracking | | Telegram Bot (optional) | Optional | Real-time error notifications | Installation Steps Import the JSON file to your n8n instance Configure credentials: Decodo API: Create HTTP Header Auth credential with header name Authorization and value Basic [YOUR_API_KEY] get from Decodo dashboard Google Gemini API: Add your Google AI API key in the "2.5 Flash" node credentials Google Sheets OAuth2: Authenticate with your Google account (both "Save to Google Sheets" and "Save Outreach To Sheets" nodes) Telegram (optional): Add bot token and replace YOUR-CHAT-ID in "Send Error Notification" node Update environment-specific values: In "Set Search Parameters" node: Update searchQuery (e.g., "Italian restaurants in Miami"), country, targetLanguage, and resultsLimit In both Google Sheets nodes: Select your destination spreadsheet and sheet name Customize settings: Adjust lead score threshold in "Filter Hot Leads" (default: ≥7) Modify AI prompt in "Lead Enrichment" node to match your value proposition Customize outreach email template in "Prepare Outreach Message" node Test execution: Start with resultsLimit: 5 to verify all connections work Check Google Sheets for properly formatted data Verify AI enrichment produces actionable insights Technical Details Core Nodes | Node | Purpose | Key Configuration | |------|---------|-------------------| | Decodo Maps Scraper | Fetches Google Maps listings via API | Set target: google_maps, adjust page_to based on resultsLimit | | Parse & Normalize Data | Extracts business data from HTML | Custom JavaScript handles multiple response formats | | Lead Enrichment (AI Chain) | Analyzes leads with Gemini 2.5 Flash | Structured output parser ensures JSON compliance | | Filter Hot Leads | Isolates high-quality prospects | Combines lead score ≥7 + contact info validation | | Save to Google Sheets | Stores all enriched leads | Uses appendOrUpdate with id as matching column | | Save Outreach To Sheets | Updates hot leads with messages | Marks leads as "HOT" category for prioritization | Customization Options Basic Adjustments Search Parameters:** Modify searchQuery, country, targetLanguage in "Set Search Parameters" to target different markets (supports all Google Maps locales) Lead Scoring Threshold:** Change filter condition from ≥7 to ≥6 for broader lead pool or ≥8 for ultra-qualified prospects Batch Size:** Adjust "Split Into Batches" to process 10-50 items per cycle (lower = more reliable, higher = faster execution) Advanced Enhancements Email Automation:** Connect "Prepare Outreach Message" to Gmail/SendGrid nodes for automatic campaign sends (medium complexity) CRM Integration:** Add HubSpot/Salesforce nodes after enrichment to sync leads directly (requires CRM API credentials) Multi-Channel Outreach:** Branch hot leads to LinkedIn automation tools or SMS providers (high complexity, needs additional services) Custom Scoring Models:** Modify AI prompt to prioritize industry-specific signals (e.g., verified badges for healthcare, delivery options for restaurants) Troubleshooting Common Issues | Problem | Cause | Solution | |---------|-------|----------| | "No valid leads extracted" error | Decodo response format changed or empty results | Check Decodo API response in "Parse & Normalize Data" execution logs; verify search query returns results in Google Maps manually | | AI enrichment produces invalid JSON | Gemini output doesn't match schema | Review "Result Parser" schema; add retry logic or simplify AI prompt to reduce complexity | | Google Sheets "matching column not found" | Spreadsheet missing "id" column header | Ensure Sheet1 has headers: id, businessName, category, address, phone, website, rating, reviewCount, valueProposition, painPoints, outreachHook, leadScore, engagementStrategy, googleMapsUrl, scrapedAt, enrichedAt, outreachMessage, status | | Timeout on large batches | Processing 100+ leads exceeds execution limits | Reduce resultsLimit to 25-50; run workflow multiple times with different queries | Use Case Examples Scenario 1: Digital Marketing Agency Prospecting Challenge: Agency needs 200 qualified restaurant leads monthly for web design services, spending 40 hours on manual research Solution: Configure workflow with query "restaurants in [city]" filtered by ratings ≥4.0 and missing professional websites (AI scoring detects this) Result: Generated 312 leads in 8 hours across 3 cities; 89 scored ≥8 (hot prospects); closed 14 clients in first month at $2,500 average contract value Scenario 2: SaaS Company Market Entry Challenge: Booking software startup targeting salons/spas in new geographic market with zero existing contacts Solution: Ran workflow with "beauty salons in Denver" + "day spas in Denver"; AI identified pain points like "manual appointment booking" and "no online presence" Result: 156 leads enriched in 2 days; personalized outreach hooks increased demo booking rate from 2% (cold template) to 11%; secured 8 pilot customers in 3 weeks Scenario 3: Local Service Provider Lead Generation Challenge: POS system reseller needs to identify retail stores still using cash registers, wasting days driving to scout locations Solution: Configured workflow for "retail stores in [neighborhood]" with AI analyzing reviews for mentions of "cash only" or payment friction Result: Identified 47 high-probability prospects in 90 minutes; field sales team prioritized top 15 leads (score ≥9), closed 6 deals worth $32K total revenue Credits & Links Created by: Khaisa Studio Category: Sales & CRM | Tags: lead-generation, google-maps, ai-enrichment, sales-automation, prospecting Need custom workflows? 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Jotform Lead Qualification & Distribution System Transform lead chaos into systematic qualification and instant routing - achieving 5-minute response times, 300% conversion increase, and eliminating sales team conflicts through AI-powered BANT scoring and intelligent territory assignment. What This Workflow Does Revolutionizes lead management with AI-driven qualification and automated distribution to the right sales rep: 📝 Intelligent Lead Capture - Jotform collects complete lead profile including budget, timeline, and pain points 🤖 AI BANT Scoring - GPT-4 evaluates leads across Budget, Authority, Need, Timeline (0-100 score) 🎯 Smart Routing - Automatically assigns leads based on score, territory, industry expertise, and workload 💼 Instant CRM Creation - Creates detailed contact records in HubSpot/Salesforce with full context 📧 Dual Notifications - Sales rep gets detailed brief, lead receives professional confirmation 📊 Complete Tracking - Google Sheets logging enables performance analysis and conversion metrics 🔥 Priority Tiering - Hot leads (75+) go to senior reps, warm to mid-level, cold to SDRs 💡 Pre-Written Talking Points - AI provides conversation starters based on lead pain points 🚀 Zero Manual Work - End-to-end automation from form submission to first contact Key Features AI Lead Qualification Engine: GPT-4 analyzes every lead using BANT framework with 25-point scoring per category (Budget, Authority, Need, Timeline) Intelligent Territory Routing: Matches leads to sales reps based on geography, industry expertise, deal size capacity, and current workload Real-Time CRM Integration: Creates fully populated contact records in HubSpot, Salesforce, or Pipedrive with AI insights Instant Rep Notifications: Beautiful HTML emails with complete lead profile, BANT breakdown, talking points, and recommended next steps Lead Confirmation Emails: Professional auto-responses set expectations and introduce assigned account executive Conversion Probability Scoring: AI estimates likelihood of close based on BANT signals and pain severity Deal Value Estimation: Automatically calculates potential deal size based on company size and budget range Red Flag Detection: AI identifies concerns (budget constraints, wrong decision-maker, competitor lock-in) Competitor Vulnerability Assessment: Evaluates how easily lead can switch from current solution Opportunity Size Classification: Tags leads as Small/Medium/Large/Enterprise for proper resource allocation 24-Hour SLA Monitoring: Hourly checks identify uncontacted leads and escalate to sales management Complete Audit Trail: Every lead logged to Google Sheets with timestamps, scores, and assignments for analytics Perfect For B2B SaaS Companies: Fast-growing software companies with high lead volume (100+ leads/month) Technology Services: IT consulting, MSPs, and technology solution providers Enterprise Sales Teams: Organizations with complex products requiring senior rep expertise Professional Services: Law firms, accounting firms, consulting practices with territory-based teams Manufacturing: Industrial equipment sales with industry-specific expertise requirements Healthcare Tech: Medical software and equipment sales with compliance considerations Financial Services: Wealth management, insurance, and fintech with regulatory requirements Marketing Agencies: Digital marketing and advertising agencies qualifying client prospects What You'll Need Required Integrations Jotform - Lead capture form (free tier works) Create your form for free on Jotform using this link OpenAI API - GPT-4 for AI BANT scoring (~$0.20-0.40 per lead) Gmail - Automated notifications to sales reps and leads Google Sheets - Lead tracking database and analytics CRM System - HubSpot, Salesforce, or Pipedrive (via API) Optional Integrations Slack - Real-time lead notifications to sales channel Calendar Integration - Auto-schedule follow-up calls Quick Start Import Template - Copy JSON and import into n8n Add OpenAI Credentials - Set up OpenAI API key (GPT-4 required for best BANT analysis) Create Jotform Lead Capture Form: Company Name (q3_companyName) Contact Name (q4_contactName) Email (q5_email) Phone (q6_phone) Company Size (q7_companySize) - dropdown: 1-10, 11-50, 51-200, 201-500, 500+ Budget Range (q8_budgetRange) - dropdown: <$10K, $10K-$25K, $25K-$50K, $50K-$100K, $100K+ Timeline (q9_timeline) - dropdown: Immediate, 1-3 months, 3-6 months, 6+ months Industry (q10_industry) - dropdown or text Current Solution (q11_currentSolution) - text area Pain Points (q12_painPoints) - text area Configure Gmail - Add Gmail OAuth2 credentials (same for all Gmail nodes) Setup Sales Team Routing: Edit "Intelligent Routing Logic" node Update salesTeam object with your actual sales reps Configure territories, industries, and deal size thresholds Configure CRM Integration: Choose your CRM (HubSpot shown, easily adapted for Salesforce/Pipedrive) Add CRM API credentials Map custom fields as needed Setup Google Sheets: Create spreadsheet with "Lead_Tracking" sheet Replace YOUR_GOOGLE_SHEET_ID in workflow (3 places) Columns auto-populate on first submission Customize Email Templates: Update company name, phone, website URLs Adjust branding colors if desired Set Up Escalation: Update sales manager email in escalation node Adjust 24-hour SLA threshold if needed Test Workflow - Submit test lead through Jotform Go Live - Embed form on website, share link, add to email signatures Customization Options Lead Scoring Thresholds: Adjust what constitutes Hot (75+), Warm (50-74), Cold (25-49) Territory Configuration: Add/modify territories, states, countries for rep assignment Industry Expertise: Define which reps specialize in which industries Multi-Level Routing: Add VP or director assignment for enterprise deals Custom BANT Weights: Adjust importance of Budget vs Authority vs Need vs Timeline Qualification Disqualification: Auto-reject leads below minimum score Round-Robin vs Workload: Choose between even distribution or capacity-based assignment Integration Flexibility: Swap HubSpot for Salesforce, Pipedrive, Zoho, or custom CRM Follow-Up Sequences: Add automated email nurture campaigns for different tiers Calendar Booking: Include Calendly/Chili Piper links for instant meeting scheduling Lead Source Tracking: Add UTM parameters and campaign tracking Industry-Specific Qualifying: Custom questions and scoring for different verticals Multi-Touch Attribution: Track which marketing channels produce best leads Competitor Intelligence: Add fields to track which competitor they're considering Expected Results 5-minute response time - From form submission to rep contact (vs 48+ hours manual) 300% conversion increase - Faster response + better qualification = 3x more deals Zero lead conflicts - Automated assignment eliminates sales team arguments 95% SLA compliance - 24-hour escalation ensures no leads fall through cracks 40% time savings - Reps spend time selling, not qualifying or cherry-picking leads 85% accurate routing - AI + territory logic assigns to optimal rep first time 60% reduction in unqualified meetings - BANT scoring filters out poor-fit prospects 100% lead visibility - Complete tracking from inquiry to close in Google Sheets 50% manager time savings - Automated monitoring vs manual lead assignment 2x rep productivity - Only work high-quality, properly matched leads Use Cases SaaS Company (Series B, 50 Sales Reps) Scenario: Lead submits form requesting project management software for 200-person engineering team. Budget: $50K-$100K annually. Timeline: 1-3 months. Current solution: Jira. Pain: Poor cross-team visibility. AI BANT Analysis: Budget: 23/25 (has budget, validated by company size) Authority: 22/25 (VP Engineering, decision-maker) Need: 24/25 (critical pain, expanding team needs better tools) Timeline: 20/25 (moderate urgency, current fiscal quarter) Total Score: 89/100 - HOT LEAD** Automated Response: 9:14 AM: Form submitted 9:14 AM: CRM contact created with full profile 9:15 AM: Sarah Johnson (Senior AE, specializes in Tech/Engineering tools) receives detailed notification 9:15 AM: Lead receives confirmation email introducing Sarah 9:17 AM: Sarah calls lead (3-minute response time) 9:45 AM: Discovery meeting scheduled for tomorrow 10:30 AM: Sarah updates CRM status to "Qualified Opportunity" Result: Lead converts to $85K annual contract. 3-minute response time impressed prospect (competitor took 2 days). Total sales cycle: 18 days vs 45-day average. Professional Services Firm (8 Consultants) Scenario: Small business owner (25 employees) inquires about IT consulting. Budget: <$10K. Timeline: 6+ months. Current solution: "We handle it ourselves." Pain: "Sometimes things break." AI BANT Analysis: Budget: 8/25 (insufficient budget for typical engagement) Authority: 18/25 (owner, but budget-constrained) Need: 12/25 (low pain severity, reactive not proactive) Timeline: 5/25 (no urgency, exploratory inquiry) Total Score: 43/100 - COLD LEAD** Red Flags**: Below minimum deal size, no immediate pain, DIY mentality Automated Response: Assigned to Emily Brown (SDR) for nurture track Lead receives confirmation with educational resources Emily sends follow-up email with free IT assessment offer Lead added to quarterly newsletter nurture campaign No immediate sales rep time wasted on low-probability lead Result: 6 months later, business experiences server crash. Remembers firm from newsletter. Submits new request with "Immediate" timeline and $25K budget. This time routes to senior consultant, converts to $40K managed services contract. Enterprise Software (Global Sales Team) Scenario: Fortune 500 procurement manager submits RFP for enterprise data platform. Budget: $500K+. Timeline: Immediate (Q1 deadline). 5,000 employees. Industry: Healthcare. Current: Legacy Oracle system. AI BANT Analysis: Budget: 25/25 (enterprise budget, board-approved) Authority: 20/25 (procurement, but mentions C-suite sponsorship) Need: 25/25 (critical: compliance requirements, legacy system EOL) Timeline: 25/25 (urgent: Q1 deadline 8 weeks away) Total Score: 95/100 - ENTERPRISE HOT LEAD** Key Insight**: Competitor vulnerability HIGH (legacy system, compliance pressure) Automated Response: Assigned to Michael Chen (Senior AE, Healthcare + Enterprise specialist) Sales VP automatically CC'd on notification (deal size >$250K) CRM tags: "Enterprise", "Healthcare", "RFP", "Q1 Deadline" Michael's calendar checked, existing demo moved to prioritize this lead Michael calls within 8 minutes (prospect answered, impressed) Enterprise demo scheduled for next day with solutions engineer Legal and compliance teams looped in proactively Result: Won $650K 3-year contract. 8-minute response time + pre-qualified insights helped beat 4 competitors. Sales cycle: 6 weeks (vs 6-month average for enterprise deals). Manufacturing Sales (Regional Reps) Scenario: Plant manager in Texas requests quote for industrial equipment. Company size: 200 employees. Budget: $25K-$50K. Timeline: 3-6 months. Industry: Automotive. Current: 10-year-old machinery, frequent breakdowns. AI BANT Analysis: Budget: 20/25 (has capital budget, needs approval) Authority: 19/25 (plant manager, recommends to CFO) Need: 22/25 (high: downtime costs, efficiency losses) Timeline: 18/25 (planned capital purchase, budget cycle timing) Total Score: 79/100 - HOT LEAD** Talking Points**: Focus on ROI from reduced downtime, payback period Automated Response: Territory-based routing assigns to Jessica Martinez (Southwest US, Manufacturing) Email highlights equipment efficiency ROI calculator Lead receives PDF product catalog automatically Jessica calls within 12 minutes, schedules site visit for next week Technical specialist added to meeting invite automatically Result: $42K equipment sale + $8K annual maintenance contract. Jessica's quick response and ROI-focused approach (from AI talking points) won deal over competitor who took 3 days to respond. Marketing Agency (Qualifying Client Fit) Scenario: E-commerce startup (2 employees) requests full-service digital marketing. Budget: <$10K monthly. Timeline: Immediate. Current: Doing it themselves. Pain: "Need more customers." AI BANT Analysis: Budget: 12/25 (below agency minimum of $15K monthly) Authority: 22/25 (founder, decision-maker) Need: 18/25 (need is real, but unrealistic expectations) Timeline: 20/25 (urgent, but may not understand scope) Total Score: 72/100 - WARM LEAD** Red Flags**: Budget too low, unrealistic expectations, startup risk Automated Response: Assigned to David Williams (Mid-Level AE) AI recommends: "Qualify budget realism, educate on agency pricing" David calls, explains pricing, suggests DIY consulting option ($5K) Lead appreciates transparency, opts for consulting package now Agreed to revisit full-service when reaches $100K MRR Result: $5K consulting engagement (profitable given rep level). Client reaches $100K MRR 8 months later, upgrades to $20K monthly retainer. Honesty during qualification built trust and long-term relationship. Pro Tips Response Time is King: Every minute delayed reduces conversion by 10%. Use mobile notifications for reps. BANT Customization: Adjust scoring weights based on your sales cycle. Enterprise may weight Authority higher, transactional sales may weight Timeline higher. Territory Conflicts: Use round-robin within territories to prevent cherry-picking. Track conversion rates by rep. Lead Source Attribution: Add hidden fields to Jotform to track UTM parameters and campaign sources. Continuous Improvement: Monthly review of Google Sheets data to refine AI scoring thresholds. Rep Accountability: Use 24-hour escalation data to identify training needs or workload issues. Disqualification Criteria: Add automatic rejection for competitors, students, or leads outside serviceable areas. Integration Expansion: Connect to calendar systems (Calendly, Chili Piper) for instant meeting booking. Lead Nurture Tracks: Route cold leads to marketing automation (HubSpot sequences, Mailchimp campaigns). A/B Testing: Try different form fields and AI prompts to optimize qualification accuracy. Mobile Optimization: Ensure Jotform is mobile-friendly for leads submitting from phones. Follow-Up Sequences: Add automated day 2, day 7, day 30 follow-ups for non-responsive leads. Competitive Intelligence: Track which competitors are mentioned most, adjust positioning accordingly. Budget Realism Check: AI can identify when stated budget doesn't match company size/needs. Multi-Product Routing: For companies with multiple product lines, route based on interest. Learning Resources This workflow demonstrates advanced automation: AI Agents for Complex Qualification: Multi-dimensional BANT scoring with natural language understanding Dynamic Routing Algorithms: JavaScript-based logic for territory, expertise, and workload balancing CRM API Integration: Creating fully populated contact records with custom fields Conditional Email Formatting: HTML templates with dynamic content based on lead tier Scheduled Monitoring: Cron-based checking for SLA compliance and escalation Data Aggregation: Complete lead pipeline tracking for business intelligence Code Node Efficiency: Custom JavaScript for complex routing logic beyond visual nodes Multi-Output Branching: Parallel execution for CRM, notifications, and tracking Error Handling: Graceful failure modes for API timeouts or missing data Performance Optimization: Minimizing API calls while maximizing data capture Business Impact Metrics Lead Response Time: Track average time from submission to first contact (target: <5 minutes) Conversion Rate by Tier: Compare close rates for Hot vs Warm vs Cold leads to validate scoring Rep Performance: Measure conversion rates by sales rep to identify training needs or star performers Lead Source ROI: Calculate which marketing channels produce highest-scoring leads SLA Compliance: Track % of leads contacted within 24 hours (target: >95%) Revenue Per Lead: Compare deal sizes for AI-qualified leads vs manual qualification Time to Close: Measure if faster response and better qualification shortens sales cycles Assignment Accuracy: Track how often leads need re-assignment (target: <10%) Manager Escalations: Monitor frequency of 24-hour SLA breaches by rep Cost Per Lead Processed: Calculate ROI of automation vs manual lead distribution Ready to Transform Your Lead Management? Import this template and turn lead chaos into systematic qualification and instant routing with AI-powered BANT scoring! 🎯✨ Questions or customization? The workflow includes detailed sticky notes explaining each component's logic and decision criteria. Template Compatibility ✅ n8n version 1.0+ ✅ Works with n8n Cloud and Self-Hosted ✅ Fully customizable routing logic ✅ Integrates with any CRM via API

🎯 AI Landing Page Analyzer & Optimizer Transform your landing page audits into a powerful lead generation machine with this professional n8n workflow powered by 4 specialized AI agents. What It Does This workflow analyzes any landing page and delivers a comprehensive, $2,000-value audit report in under 90 seconds. Perfect for agencies, consultants, and SaaS companies looking to generate high-quality leads while showcasing their expertise. 🤖 Four Specialized AI Agents Design Critic - Analyzes UX/UI, visual hierarchy, CTA placement, mobile responsiveness, and trust signals Copywriter - Reviews messaging, headlines, value propositions, and emotional triggers SEO Specialist - Audits technical SEO, meta tags, heading structure, and performance indicators Growth Strategist - Synthesizes all findings, assigns an A-F grade, and creates prioritized action plans ✨ Key Features Comprehensive Scoring**: 6-dimension scorecard with detailed justifications Actionable Insights**: Top 5 priorities ranked by impact vs. effort Conversion Lift Estimates**: Conservative, realistic, and optimistic projections Beautiful HTML Reports**: Professional email with all analyses, branded for your business Natural Upsell Path**: Built-in CTA for paid optimization services Fast Delivery**: Complete analysis in 60-90 seconds 📊 What Gets Analyzed Design & UX Visual hierarchy and layout structure CTA design, placement, and effectiveness Color scheme and whitespace usage Trust signals and social proof Mobile responsiveness indicators Copywriting Headline impact and hook effectiveness Value proposition clarity Benefits vs. features balance Emotional triggers and persuasion CTA copy strength and action orientation SEO & Technical Title tag and meta description optimization Heading structure (H1, H2 hierarchy) Image optimization and alt tags Mobile-friendliness Analytics tracking setup Page speed indicators Strategic Overview Overall grade (A+ to F) with detailed explanation Comprehensive scorecard across all dimensions Prioritized action items by ROI Estimated conversion lift potential Strategic recommendations and next steps 💼 Perfect For Digital Marketing Agencies**: Offer free audits to generate leads Freelance Consultants**: Showcase expertise and attract clients SaaS Companies**: Lead magnet for conversion optimization tools Web Development Agencies**: Pre-sales qualification and demonstrations CRO Specialists**: Automated initial assessments 📋 What You Need Required n8n instance (self-hosted or cloud) Anthropic API key (Claude Sonnet 4.5) Gmail account for sending reports (or any SMTP provider) Optional Enhancements Screenshot API (UrlBox, Puppeteer) for visual captures Google PageSpeed Insights API for performance testing CRM integration (HubSpot, Salesforce, Pipedrive) Slack notifications for lead alerts Calendar booking integration (Calendly) ⚙️ Technical Details AI Model**: Claude Sonnet 4.5 (4 separate agents) Average Runtime**: 60-90 seconds Cost Per Analysis**: ~$0.15-0.25 (API costs) Form Fields**: 6 (landing page URL, industry, goal, conversion rate, frustration, email) Output**: Beautiful HTML email report with comprehensive analysis 🎨 Customization Options The workflow includes detailed documentation and is fully customizable: Adjust agent prompts for your specific niche Modify scoring criteria and thresholds Customize email branding and design Add/remove form fields Integrate with your CRM Segment responses by score (different CTAs for different grades) 📈 Expected Results Lead Quality**: High (users actively seeking optimization) Conversion Rate**: 15-30% of audit recipients book calls Time Saved**: 2-3 hours of manual analysis per audit Perceived Value**: $2,000+ professional audit 🔧 Setup Difficulty Intermediate - Requires basic n8n knowledge and API key setup Setup Steps Import workflow to n8n Add Anthropic API credentials Configure Gmail/SMTP credentials Customize form and email branding Test with sample landing page Deploy form on your website 📚 Included Documentation Comprehensive sticky notes explaining each component Setup instructions and prerequisites Customization guide Monetization strategy breakdown Performance optimization tips Enhancement ideas for v2 🌟 Use Cases Lead Magnet: Embed form on your website to capture qualified leads Sales Tool: Use during discovery calls to demonstrate value Content Marketing: Offer audits in LinkedIn posts, email campaigns Partner Program: Provide white-labeled audits to partners Upsell Sequence: Follow up with paid optimization services ⚡ Why This Workflow? Unlike simple template-based audits, this workflow uses real AI intelligence to provide nuanced, contextual insights. Each analysis is unique and considers: Industry-specific best practices Stated business goals Current pain points Competitive landscape User's experience level The result? Reports that feel hand-crafted by experts, not generic checklists. 🤝 Support 📖 Website: https://evervise.ai/ ✨ Support: mark.marin@evervise.com N8N Link 📊 Version History v1.0** - Initial release with 4-agent analysis pipeline Coming soon: Screenshot capture, competitor comparison, visual mockups Tags lead-generation marketing-automation ai-agents conversion-optimization landing-pages anthropic claude audit seo copywriting design-analysis lead-magnet Ready to turn landing page audits into a lead generation machine? Import this workflow and start attracting high-quality clients today.

Automated trend monitoring for content strategy Who's it for Content creators, marketers, and social media managers who want to stay ahead of emerging trends and generate relevant content ideas based on data-driven insights. What it does This workflow automatically identifies trending topics related to your industry, collects recent news articles about these trends, and generates content suggestions. It transforms raw trend data into actionable editorial opportunities by analyzing search volume growth and current news coverage. How it works The workflow follows a three-step automation process: Trend Analysis: Examines searches related to your topics and identifies those with the strongest recent growth Article Collection: Searches Google News for current articles about emerging trends and scrapes their full content Content Generation: Creates personalized content suggestions based on collected articles and trend data The system automatically excludes geo-localized searches to provide a global perspective on trends, though this can be customized. Requirements SerpAPI account (for trend and news data) Firecrawl API key (for scraping article content from Google News results) Google Sheets access AI model API key (for content analysis and recommendations - you can use any LLM provider you prefer) How to set up Step 1: Prepare your tracking sheet Duplicate this Google Sheets template Rename your copy and ensure it's accessible Step 2: Configure API credentials Before running the workflow, set up the following credentials in n8n: SerpAPI: For trend analysis and Google News search Firecrawl API: For scraping article content AI Model API: For content analysis and recommendations (Anthropic Claude, OpenAI GPT, or any other LLM provider) Google Sheets OAuth2: For accessing and updating your tracking spreadsheet Step 3: Configure your monitoring topics In your Google Sheet "Query" tab: Query column: Enter the main topics/keywords you want to monitor for trending queries (e.g., "digital marketing", "artificial intelligence", "sustainable fashion") Query to avoid column: Optionally add specific queries you want to exclude from trend analysis (e.g., brand names, irrelevant terms, or overly specific searches that don't match your content strategy) This step is crucial as these queries will be the foundation for discovering related trending topics. Step 4: Configure the workflow In the "Get Query" node, paste your duplicated Google Sheets URL in the "Document" field Ensure your Google Sheet contains your monitoring topics in the Query column Step 5: Customize language and location settings The workflow is currently configured for French content and France location. You can modify these settings in the SerpAPI nodes: Language (hl): Change from "fr" to your preferred language code Geographic location (geo/gl): Change from "FR" to your target country code Date range: Currently set to "today 1-m" (last month) but can be adjusted Step 6: Adjust filtering (optional) The "Sorting Queries" node excludes geo-localized queries by default. You can modify the AI agent's instructions to include location-specific queries or change filtering criteria based on your requirements. The system will also automatically exclude any queries you've listed in the "Query to avoid" column. Step 7: Configure scheduling (optional) The workflow includes an automated scheduler that runs monthly (1st day of each month at 8 AM). You can modify the cron expression 0 8 1 * * in the Schedule Trigger node to change: Frequency (daily, weekly, monthly) Time of execution Day of the month How to customize the workflow Change trend count: The workflow processes up to 10 related queries per topic but filters them through AI to select the most relevant non-geolocalized ones Adjust article collection: Currently collects exactly 3 news articles per query for analysis Content style: Customize the AI prompts in content generation nodes to match your brand voice Output format: Modify the Google Sheets structure to include additional data points AI model: Replace the Anthropic model with your preferred LLM provider Scraping options: Configure Firecrawl settings to extract specific content elements from articles Results interpretation For each monitored topic, the workflow generates a separate sheet named by month and topic (e.g., "January Digital Marketing") containing: Data structure (four columns): Query: The trending search term ranked by growth Évolution: Growth percentage over the last month News: Links to 3 relevant news articles Idée: AI-generated content suggestions based on comprehensive article analysis The workflow provides monthly retrospective analysis, helping you identify emerging topics before competitors and optimize your content calendar with high-potential subjects. Workflow limitations Processes up to 10 related queries per topic with AI filtering Collects exactly 3 news articles per query Results are automatically organized in monthly sheets Requires stable internet connection for API calls

Shorts Creation v10 (Telegram Filming) — n8n Template Description How it works This workflow is a fully automated YouTube Shorts production pipeline. It takes the structured output from a video digestion workflow (transcript, key moments, metadata) and produces finished, rendered vertical shorts complete with AI-generated avatar narration, AI-generated B-roll video clips, dynamic multi-layout compositions, social media copy, and a lead magnet document — all uploaded to Google Drive and tracked in Google Sheets. It's designed to be called as a sub-workflow — triggered by a parent workflow that provides video analysis data (transcript, key moments, visual analysis, metadata). The full pipeline: Stage 1 — Extract & Prepare The workflow receives pre-analysed video data (transcript, sections, B-roll clips, metadata) from the parent workflow via the Execute Workflow Trigger. A Code node extracts and structures the key snippets, B-roll timestamps, and video context ready for AI processing. Stage 2 — Short-Form Concept Ideation (Gemini AI Agent) A Gemini-powered AI agent analyses the transcript, key moments, and video overview to generate 3 unique short-form concepts per video. Each concept includes a hook, body structure, CTA, full avatar script, and a lead magnet deliverable prompt. The agent uses structured output parsing to guarantee clean JSON. Concepts are fed with real examples from top-performing creators for style reference. Stage 3 — Loop Through Concepts The workflow loops through each concept and for each one runs the full production pipeline in parallel: Stage 4 — HeyGen Avatar Generation Each concept's full script is sent to HeyGen's API to generate a vertical (1080×1920) AI avatar video. The workflow polls HeyGen's status endpoint until rendering is complete, then captures the avatar video URL. Stage 5 — AI B-Roll Generation (Replicate — Seedance 1 Lite) While the avatar renders, the workflow generates AI video B-roll clips using ByteDance's Seedance 1 Lite model on Replicate. The AI Video Director determines what B-roll is needed, and prompts are sent to Replicate to generate 2-second vertical clips at 24fps and 720p. Multiple clips are generated and aggregated. Stage 6 — AI Video Director (Gemini AI Agent) A Gemini-powered AI Video Director creates a beat-by-beat storyboard with dynamic layout transitions. It generates a RenderScript specifying layout types (avatar full-frame for hooks/CTAs, split-screen for demos, picture-in-picture overlays for focus moments), transition effects, and timing. The effects library provides scroll-stopping transitions like RGB glitch, accent flash, zoom shake, and whip pan. Stage 7 — Creatomate Rendering The Creatomate Template Builder Code node converts the AI Director's storyboard into a Creatomate-compatible render payload — assembling avatar video, B-roll clips, transitions, text overlays, and effects into a single 1080×1920 composition. The render is sent to Creatomate's API, polled until complete, then downloaded. Stage 8 — Upload & Social Copy The finished video is uploaded to Google Drive and shared. An OpenAI-powered Social Media Copywriter generates platform-optimised titles, descriptions, hashtags, and captions for YouTube Shorts, Instagram Reels, and TikTok. Everything is logged to a Google Sheets tracker. Stage 9 — Lead Magnet Document Generation In parallel, a Gemini-powered Document Generator creates a downloadable lead magnet (actionable guide, template, checklist, etc.) based on the CTA promise from each concept. The document is converted to HTML and uploaded as a Google Doc, shared publicly, and linked in the tracker sheet — ready to use as a content magnet in video descriptions. Setup guide Required accounts & API keys | Service | What it does | Sign up | |---------|-------------|---------| | HeyGen | AI avatar video generation (talking head narration) | https://heygen.com | | Replicate | AI video B-roll generation (Seedance 1 Lite by ByteDance) | https://replicate.com | | Creatomate | Video composition rendering (assembles final short) | https://creatomate.com | | Google AI Studio (Gemini) | Powers 4 AI agents (concept ideation, video direction, output parsing, document generation) | https://aistudio.google.com | | OpenAI | Social media copywriting (titles, descriptions, hashtags) | https://platform.openai.com | | Google Cloud | Google Drive (video storage) + Google Sheets (tracking) + Google Docs (lead magnets) | https://console.cloud.google.com | Replicate model This workflow uses Seedance 1 Lite by ByteDance for AI-generated B-roll video clips: https://replicate.com/bytedance/seedance-1-lite n8n credentials to configure | Credential type | Used by | |----------------|---------| | HeyGen API Key (HTTP Header Auth) | Avatar generation + status polling | | Replicate API Token (HTTP Header Auth) | AI B-roll video generation | | Creatomate API Key (HTTP Header Auth) | Video render + status polling | | Google Gemini API Key | Concept ideation, video direction, structured parsing, document generation | | OpenAI API Key | Social media copywriting | | Google Drive OAuth2 | Video upload, Google Doc creation, file sharing | | Google Sheets OAuth2 | Shorts tracker logging | Google Workspace setup Google Sheets — Create a spreadsheet called shorts_tracker with a sheet named Shorts Tracker. Columns should include: Created Date, YouTube Title, Short Title, Concept Type, YouTube Short Title, YouTube Description, Instagram Caption, TikTok Caption, Hashtags, Google Drive URL, Magnet URL. Google Drive — Create a folder for rendered shorts. Update the Upload to Google Drive node with your folder ID. Google Docs — Lead magnet documents are auto-created and shared via the Google Drive API. Steps Import the workflow into n8n Configure all credential sets (HeyGen, Replicate, Creatomate, Gemini, OpenAI, Google OAuth2) Set up your Google Sheets tracker and Drive folder Update the HeyGen avatar IDs in the "HeyGen - Generate Full Avatar" node to match your HeyGen avatars Connect this as a sub-workflow — it expects to be called by a parent workflow (like the Video Digestion Workflow) via the Execute Workflow Trigger The parent workflow passes in: source video data, transcript, sections, key moments, visual analysis, and video overview What this workflow produces (per video) For each source video, the workflow generates 3 unique shorts, and for each short: ✅ Finished rendered vertical video (1080×1920 MP4) uploaded to Google Drive ✅ AI avatar narration with hook, body, and CTA ✅ AI-generated B-roll video clips ✅ Dynamic layouts with scroll-stopping transitions ✅ Platform-optimised copy (YouTube, Instagram, TikTok) ✅ Lead magnet Google Doc with shareable link ✅ Full tracking row in Google Sheets Nodes used (44 total) Execute Workflow Trigger Code nodes (x4 — snippet extraction, effects library, Creatomate template builder, HTML converter) AI Agents (x4 — Gemini-powered concept ideator, video director, document generator + structured output parsers) OpenAI node (social media copywriter) Google Gemini Chat Models (x5) HeyGen API (x2 — generate + poll status) Replicate API (AI B-roll generation) Creatomate API (x2 — render + poll status) Google Drive (x2 — upload + share) Google Sheets (x2 — tracker logging) HTTP Request (Google Docs creation) Set/Edit Fields, Split In Batches, Split Out, Merge, Aggregate, Wait, If nodes Example Reels: Example 1 Example 2 Built by @adamgoodyer — The Anti-Guru Technical Educator. Real workflows, real implementation, no fluff.

Automatically identify ICP matches by enriching basic company records with Sona Enrich data—combining web scraping, AI analysis, and the structured attributes that define your ideal customer. Import company domains from a Google Sheet, automatically analyze their websites with AI, enrich them with firmographic data via Sona Enrich, and sync the results to HubSpot—so you can quickly discover and target your ideal customers. How it works Step 1: Data Input & Web Scraping Reads company domains from your Google Sheet Scrapes each website's content via HTTP requests Extracts and cleans HTML content Removes navigation, footers, and noise Step 2: AI Analysis Sends cleaned content to OpenAI Chat Model Extracts structured company intelligence (industry, positioning, features, personas) Captures and analyzes pricing, pros/cons, and value propositions Aggregates all AI results into standardized format Advanced users: You can modify the data that's generated and then add custom fields to HubSpot Step 3: HubSpot Preparation Creates custom fields in HubSpot CRM Prepares AI-extracted data for import Splits aggregated data into individual company records Ready for batch processing Step 4: Enrich & Sync to HubSpot Loops through each company one by one Enriches with the Sona API (firmographics, revenue, employees, funding, and more) Creates company record in HubSpot Formats and populates all custom fields Combines AI insights + Sona data in one complete profile What you'll get The workflow enriches each company record with: Web-Scraped Intelligence**: Business descriptions, features, and positioning directly from their website AI-Analyzed Insights**: Value propositions, target personas, pricing models, and competitive advantages interpreted by AI Firmographic Data**: Company size, employee count, revenue estimates, headquarters location, and more via Sona Enrich Technographic Data**: Technology stack, platforms, and tools the company uses Industry Classification**: Precise industry categorization and market type (B2B/B2C) Funding & Growth**: Investment rounds, funding status, and growth indicators Custom HubSpot Properties**: All data automatically mapped and synced to your CRM for immediate use Why use this Complete intelligence gathering**: Combines three powerful data sources (web scraping, AI, and Sona enrichment) for maximum insight depth Personalize at scale**: Leverage actual company intelligence to craft relevant, informed outreach that resonates Intelligent segmentation**: Build precise account lists by industry, tech stack, business model, or company size Accelerate research**: Eliminate hours of manual company investigation—save 15-30 minutes per prospect Improve conversion**: Engage prospects with context-rich conversations that demonstrate deep understanding Enhanced lead scoring**: Build sophisticated scoring models with comprehensive firmographic and technographic signals Automated updates**: Keep HubSpot records current with scheduled enrichment runs (daily/weekly) Setup instructions Before you start, you'll need: Google Sheet with company websites (column named "Website Domain") OpenAI API key for AI analysis (sign up here) Sona API credentials (get access here) Get an app token from HubSpot by creating a legacy app: Go to HubSpot Settings > Integrations > Legacy Apps Click Create Legacy App Select Private (for one account) In the scopes section, enable the following permissions: crm.schemas.companies.write crm.objects.companies.write crm.schemas.companies.read Click Create Copy the access token from the Auth tab n8n cloud or self-hosted instance Configuration steps: Prepare your data: Create a Google Sheet with a "Website Domain" column and add 2-3 test companies (e.g., example.com) Connect Google Sheets: In the "Get row(s) in sheet" node, authenticate and select your spreadsheet and sheet name Configure web scraping: Update the HTTP Request node with your preferred scraping method or data source URL Set up AI Agent: Add your OpenAI API key and customize the extraction prompt to define which company fields you want (industry, personas, features, etc.) Create HubSpot custom fields: Review the "Create Custom HubSpot Fields" node and adjust property names to match your CRM structure Add Sona credentials: In the "Sona Enrich" node within the loop, authenticate with your Sona API key Connect HubSpot: Authenticate in both "Create a Company" nodes using your HubSpot API key or OAuth2 Map enriched data: In the "Format Custom Properties" node, configure how Sona and AI data maps to your HubSpot fields Test with sample data: Run the workflow with 2-3 test companies and verify records appear correctly in HubSpot with all custom properties populated Add error handling: Configure notifications for failed enrichments or API errors (optional but recommended) Scale and automate: Process your full company list, then optionally add a Schedule Trigger for automatic daily or weekly enrichment

This n8n template demonstrates how to create consistent character videos using AI image and video generation. The workflow generates photorealistic videos featuring the same character across different poses, locations, and outfits, maintaining perfect character consistency throughout cinematic transitions. Use cases are many: Create consistent character content for social media, generate cinematic videos for brand campaigns, produce lifestyle content with the same character, automate video content creation for TikTok/Instagram, create character-based storytelling videos, or scale video production with consistent visual identity! Good to know The workflow maintains perfect character consistency across frames using reference images Uses multiple AI services: GPT-4o for prompt generation, Google Nano Banana Edit for image generation, and Veo 3.1 for video creation Features 100 unique locations (beaches, cities, cafes, rooftops, etc.) and 15 different poses KIE.AI pricing: Check current rates for Veo 3.1 and Nano Banana Edit models Processing time: ~5-10 minutes per complete video (depends on AI service queue) Output format: 9:16 aspect ratio videos optimized for TikTok/Instagram Automatically generates social media content (titles, descriptions, hashtags) using GPT-4o Includes AI disclosure labels for TikTok compliance How it works Location & Pose Selection: Randomly selects one location from 100 options and 3 unique poses from 15 options AI Story Creation: GPT-4o generates cinematic prompts for first frame, last frame, and video motion while maintaining character identity from reference images Start Frame Generation: Google Nano Banana Edit creates the first frame image with character in initial pose, location, and outfit End Frame Generation: Nano Banana Edit generates the final frame using start frame as reference, changing only pose/expression while maintaining consistency Video Generation: Veo 3.1 creates smooth cinematic video transition between frames with natural character movement Content Creation: GPT-4o generates engaging title, description, and hashtags for social media Auto-Publishing: Automatically posts to TikTok (with AI disclosure) and Instagram, plus sends previews via Telegram The workflow ensures the same character appears in both frames with identical facial features, hair, skin tone, and overall appearance, while only pose and expression change. The video features dynamic camera movements (arc shots, dolly pushes, crane rises, etc.) for cinematic quality. How to use Setup Credentials: Configure OpenAI API, KIE.AI API, Blotato API, and Telegram Bot credentials Add Reference Images: Update the 5 reference image URLs in the "Create Start Frame" node with your character images Configure Social Media: Set up Blotato accounts for TikTok and Instagram posting Set Telegram Chat ID: Replace YOUR_TELEGRAM_CHAT_ID with your Telegram chat ID for previews Deploy Workflow: Import the template and activate the workflow Trigger Generation: Use the schedule trigger (default: every 6 hours) or replace with manual/webhook trigger Receive Content: Get previews via Telegram and published posts on TikTok & Instagram Pro tip: The workflow uses 5 reference images to maintain character consistency. For best results, use clear, high-quality photos of your character from different angles. The workflow automatically handles character identity preservation across all generated content. Requirements OpenAI API** account for GPT-4o prompt generation and social media content creation KIE.AI API** account for Veo 3.1 video generation and Google Nano Banana Edit image generation Blotato API** account for TikTok and Instagram posting automation Telegram Bot** setup for preview delivery (optional but recommended) n8n** instance (cloud or self-hosted) Reference Images:** 5 high-quality images of your character (URLs or hosted images) Customizing this workflow Character Variations: Modify the reference images to create videos with different characters while maintaining the same workflow structure. Location Customization: Edit the location pool in the "Code in JavaScript" node to add or modify locations (currently 100 options). Pose Library: Expand or customize the pose library in the JavaScript code node (currently 15 poses with detailed guidance). Social Media Platforms: Add more platforms by duplicating the Blotato nodes and configuring additional accounts (YouTube, Facebook, etc.). Content Style: Adjust GPT-4o prompts in "Story Creator Agent" and "Title Description" nodes to change content tone, style, or language. Scheduling: Replace the schedule trigger with webhook, form, or manual trigger based on your needs. Video Settings: Modify Veo 3.1 parameters (aspect ratio, watermark, seeds) in the "Veo 3.1" node for different output formats. Batch Processing: Add loops to generate multiple videos with different location/pose combinations automatically.

This workflow automatically captures, enriches, scores, and routes website leads in real-time, scheduling high-intent prospects for demos within minutes instead of hours—dramatically improving conversion rates by eliminating response delays. What Makes This Different: Real-Time Lead Processing** - Captures and processes leads instantly from website forms with zero delay Intelligent Fit Scoring** - Automatically scores leads 0-100 based on company size, seniority, and revenue Dual-Track Routing** - High-intent leads (60+) get fast-track treatment, others follow standard nurture Live Calendar Integration** - Shows actual available Calendly slots, not fake placeholders Automated Sales Alerts** - Posts rich lead details to Slack with booking links instantly Smart Follow-Up** - Sends fallback email if sales team doesn't respond within 10 minutes Complete CRM Automation** - Creates HubSpot contacts and deals automatically with enriched data Full Audit Trail** - Logs everything to Google Sheets for analytics and reporting Key Benefits of Instant Lead Response: Speed** - Minutes from form submission to scheduled demo, not hours or days Conversion** - Respond while leads are hot, dramatically improving booking rates Automation** - Zero manual work—enrichment, scoring, routing, and follow-up all automatic Intelligence** - Data-driven scoring ensures sales focuses on best-fit prospects Accountability** - Complete logging shows response times and follow-up actions Scalability** - Handles unlimited lead volume without adding sales admin work Who's it for This template is designed for B2B SaaS companies, sales teams, and revenue operations professionals who need to convert website leads faster. It's perfect for organizations that lose deals due to slow response times, want to prioritize high-intent prospects, need to automate CRM data entry, or want to ensure no hot lead falls through the cracks while sales is busy. How it works / What it does This workflow creates an end-to-end lead-to-meeting pipeline that automatically processes inbound leads and schedules high-intent prospects for demos. The system: Receives lead submissions via webhook from website forms or chat widgets Normalizes data from different form providers into a standard format Enriches contact information using Clearbit to get company size, revenue, job title, and industry Calculates fit score (0-100) based on company metrics: size (40 pts), seniority (30 pts), revenue (30 pts) Routes intelligently - High-intent leads (60+) → fast track | Standard leads → nurture channel Creates CRM records - Automatically creates/updates HubSpot contact and deal with enriched data Fetches real availability - Gets actual available Calendly demo slots via API (next 7 days) Alerts sales team - Posts formatted message to Slack with lead details and booking links Monitors response - Waits 10 minutes and checks if sales replied in Slack thread Sends fallback email - Automatically emails lead with self-service booking link if no response Logs everything - Records all data to Google Sheets for reporting and analytics Key Innovation: Smart Follow-Up Automation - Unlike basic lead capture workflows, this system ensures accountability by automatically following up with leads if the sales team is unavailable, preventing lost opportunities while maintaining a professional response time. How to set up 1. Configure API Credentials Add the following credentials in n8n: Clearbit (Lead Enrichment) Create account at clearbit.com Generate API key from Settings → API Add as "Clearbit API" credential in n8n HubSpot (CRM Integration) Create private app in HubSpot Settings → Integrations → Private Apps Grant scopes: crm.objects.contacts.write, crm.objects.deals.write Copy app token Add as "HubSpot App Token" credential in n8n Calendly (Calendar Availability) Create OAuth app at calendly.com/integrations/api_webhooks Configure OAuth2 credentials in n8n Set environment variable: CALENDLY_USER_URI with your user URI Get this from: https://api.calendly.com/users/me (returns your user URI) Slack (Team Notifications) Create Slack app at api.slack.com/apps Add Bot Token Scopes: channels:read, chat:write, channels:history Install app to workspace and copy Bot User OAuth Token Add as "Slack API" credential in n8n Update channel names in nodes: change "hot-leads" and "leads" to your actual channel names SendGrid (Email Fallback) Create account at sendgrid.com Generate API key from Settings → API Keys Verify sender email address Add as "SendGrid API" credential in n8n Update "from" email in "Send Fallback Email" node Google Sheets (Activity Logging) Create Google Cloud project and enable Sheets API Configure OAuth2 credentials in n8n Create a Google Sheet with columns matching the workflow Replace YOUR_GOOGLE_SHEET_ID in "Log to Google Sheets" node with your actual sheet ID 2. Customize Fit Scoring Logic Edit the "Calculate Fit Score" node to match your ideal customer profile: Default Scoring: Company size 50-5,000 employees = 40 points Executive/Director seniority = 30 points Annual revenue ≥ $1M = 30 points Total possible:* 100 points | *High-intent threshold:** 60+ points To Customize: Adjust company size ranges based on your target market Change seniority requirements (C-level, VP, Manager, etc.) Modify revenue thresholds Update the 60-point threshold for high-intent routing 3. Set Up Webhook Endpoint Get Webhook URL: Activate the workflow Copy webhook URL from "Lead Form Webhook" node URL format: https://your-n8n-instance.com/webhook/demo-request Configure Form Provider: Point your website form POST request to the webhook URL Send JSON body with fields: email, name, company, phone, utm_source, utm_campaign, page_url, message Or map your existing form fields to these names in "Normalize Lead Data" node Example Form Integration: // HTML Form fetch('https://your-n8n.com/webhook/demo-request', { method: 'POST', headers: {'Content-Type': 'application/json'}, body: JSON.stringify({ email: 'lead@company.com', name: 'John Doe', company: 'Acme Inc', phone: '+1234567890', utm_source: 'google', page_url: window.location.href }) }) 4. Test the Workflow Initial Test: Activate the workflow Submit test lead via webhook (use Postman or curl) Verify Clearbit enrichment returns data Check HubSpot for created contact and deal Confirm Slack notification appears in correct channel Verify Google Sheet receives log entry Response Test: Wait 10 minutes after Slack notification Check if "Check Slack Replies" detects no response Verify fallback email sends via SendGrid Confirm lead receives booking email with Calendly link Calendly Test: Verify "Get Calendly Event Types" finds your Demo event Check "Get Available Demo Slots" returns actual time slots Confirm booking URLs work and pre-fill time selection 5. Monitor and Optimize Key Metrics to Track: Time from form submission to Slack notification (target: <30 seconds) Sales response rate within 10 minutes Fallback email send rate (lower is better) High-intent lead conversion rate (booked → closed) Average fit score of closed deals Optimization Tips: Adjust fit score weights based on actual conversion data Tune the 60-point threshold for high-intent routing Customize Slack message format for your team's workflow Modify wait time (10 minutes) based on team availability Add custom fields to Google Sheet for additional tracking Requirements n8n Instance: n8n Cloud or self-hosted (v1.0+) Code node execution enabled Webhook functionality active External Services: Clearbit** - Enrichment API (paid service, free trial available) HubSpot** - CRM with API access (free tier available) Calendly** - Scheduling platform with API access (paid plans) Slack** - Workspace with bot integration capability SendGrid** - Email API (free tier: 100 emails/day) Google Sheets** - Google account with Sheets API enabled Technical Requirements: Public webhook endpoint (HTTPS) Environment variable support for sensitive data OAuth2 authentication capability Minimum 256MB RAM for code node execution Data Privacy: Ensure GDPR/CCPA compliance for lead data storage Review data retention policies for all connected services Configure appropriate data handling in Google Sheets Add privacy policy link to email templates Tips and best practices Fit Scoring: Start with default scoring, then optimize based on actual conversion data Review monthly: which scores convert best? Adjust weights accordingly Consider adding industry filters for vertical-specific targeting Test different thresholds (50, 60, 70) to find optimal balance Lead Response: Keep 10-minute wait time during business hours Consider longer wait for after-hours leads (use schedule trigger) Customize Slack urgency based on fit score (🔥 for 80+, ⚡ for 60-79) Add @mentions in Slack for specific team members based on lead attributes Calendar Management: Use dedicated "Demo" event type in Calendly for consistent detection Ensure event name includes "demo" (case-insensitive) for workflow to find it Set appropriate buffer times between meetings in Calendly settings Review availability regularly to maintain high slot count Error Handling: All critical nodes have onError: continueRegularOutput to prevent workflow stops Monitor execution logs daily for failed enrichments or CRM errors Set up n8n error workflow to alert on consistent failures Keep fallback booking URL updated in case Calendly API fails Performance: Webhook responds immediately (within 2 seconds) even while processing continues Clearbit enrichment can take 3-5 seconds—this is expected Consider batching Google Sheets updates if processing >100 leads/day Monitor n8n resource usage; Code nodes can be memory-intensive Privacy and Compliance: Add unsubscribe link to fallback emails Include data handling disclosure in form Set Google Sheet permissions appropriately (team only) Review Clearbit's data sources for compliance requirements Configure data retention in HubSpot to match your policy Customization Ideas: Add SMS notification for ultra-high fit scores (90+) Integrate with territory routing (route to specific sales rep by region) Add lead source scoring (paid > organic > referral) Create separate tracks for different product lines Build competitor mention detection in form messages Add qualification questions that influence fit score

How it works This workflow automates your initial hiring pipeline by creating an AI-powered CV scanner. It collects job applications through a web form, uses AI to analyze the candidate's CV against your job description, and neatly organizes the results in a Google Sheet. Here’s the step-by-step process: The Application Form:** A Form Trigger provides a public web form for candidates to submit their name, email, and CV (as a PDF). Initial Logging:** As soon as an application is submitted, the candidate's name and email are added to a Google Sheet. This ensures every applicant is logged, even if a later step fails. CV Text Extraction:* The workflow uses *Mistral's OCR** model to accurately extract all the text from the uploaded CV PDF. AI Analysis:* The extracted text is sent to *Google Gemini**. A detailed prompt instructs the AI to act as a hiring assistant, scoring the CV against the specific requirements of your job role and providing a detailed explanation for its score. Structured Output:** A JSON Output Parser ensures the AI's analysis is returned in a clean, structured format, making the data reliable. Final Record:** The AI-generated qualification score and explanation are added to the candidate's row in the Google Sheet, giving you a complete, analyzed list of applicants. Set up steps Setup time: ~15 minutes You'll need API keys for Mistral and Google AI, and to connect your Google account. Get Your Mistral API Key: Visit the Mistral Platform at console.mistral.ai/api-keys. Create and copy your API key. In the workflow, go to the Extract CV Text node, click the Credential dropdown, and select + Create New Credential. Paste your key into the API Key field and Save. Get Your Google AI API Key: Visit Google AI Studio at aistudio.google.com/app/apikey. Click "Create API key in new project" and copy the key. In the workflow, go to the Gemini 2.5 Flash Lite node, click the Credential dropdown, and select + Create New Credential. Paste your key into the API Key field and Save. Connect Your Google Account: Select the Create 'CVs' Spreadsheet node. Click the Credential dropdown and select + Create New Credential to connect your Google account. Repeat this for the Log Candidate Submission and Add CV Analysis nodes, selecting the credential you just created. Create Your Spreadsheet: Click the "play" icon on the Start Here node to run it. This will create a new Google Sheet in your Google Drive named "CVs" with the correct columns. Customize the Job Role: Go to the AI Qualification node. In the Text parameter, find the job_requirements section and replace the example job description with your own. Be as detailed as possible for the best results. Start Screening! Activate the workflow using the toggle at the top right. Go to the Application Form node and click the "Open Form URL" button. Fill out the form with a test application and upload a sample CV. Check your Google Sheet to see the AI's analysis appear within moments

💼 Lead Outreach Agent This AI workflow helps you quickly react to new leads with an initial personalized outreach. A great start of your lead nurturing sequence to avoid loosing precious leads that could turn into paying customers. Most importantly it uses gotoHuman so you can review the AI-analysis and the AI-generated editable email draft before it is sent out in your name. How it works We receive a new form submission incl. the email address and company name of the prospect and extract the website URL from the address. We proceed only for company email addresses. We scrape the website using Firecrawl and summarize it with OpenAI Our AI agent runs an analysis based on the lead information and documents describing our own company and the defined Ideal Customer Profiles. It also fetches previously approved examples from gotoHuman so you're effectively creating a self-learning agent. It responds with the analysis and the drafted outreach email. Human Approval in gotoHuman. Allows editing the drafted email. We can now send our email including any edits made during the review and be sure that we are using high-quality content instead of AI slop. How to set up Most importantly, install the gotoHuman node before importing this template! (Just add the node to a blank canvas before importing) Set up your credentials for the different services In gotoHuman, select and create the pre-built review template "Lead Outreach Agent" or import the ID: T873fI1Xli5nt3eh33Rj Select this template in the gotoHuman node Requirements You need accounts for gotoHuman (Human Supervision) OpenAI (AI Agent) Typeform (Lead Form Submissions) Firecrawl (Website Scraping) Gmail Google Docs (Company Wiki) How to customize Replace the Typeform trigger with any other way you might receive or find new leads Provide the AI Sales Agent with more context to properly analyze the lead and create better personalized emails. Consider adding tools that allow the agent to fetch more infos about the prospect's company or personal profile, or to find out more about your specific product/service offerings and how your sales pitches look like.

TalentFlow AI – Bulk Resume Screening with JD Matching Automatically extract, evaluate, and shortlist multiple resumes against a selected job description using GPT-4. This smart, scalable n8n workflow helps HR/TA teams streamline hiring decisions while keeping results structured, auditable, and easy to share. 👤 Who’s it for This workflow is designed for: HR or Talent Acquisition (TA) teams handling multiple candidates per role Recruiters who want AI-assisted resume screening to save time and reduce bias Organizations that want to automatically log evaluations and keep stakeholders updated in real-time via Slack or Sheets ⚙️ How it works / What it does HR/TA uploads multiple candidate resumes and selects a job role Each resume is: Uploaded to Google Drive Parsed with GPT-4 to extract structured profile data The job description for the selected role is: Retrieved from Google Sheets Downloaded from Drive and parsed The profile + JD are sent to an AI agent to generate: Fit score Strengths & gaps Final recommendation Results are: Appended to the evaluation tracking sheet Optionally shared with the hiring team on Slack Used to trigger emails to qualified or unqualified candidates 🛠️ How to set up Clone or import the workflow into your n8n instance Connect your integrations: Google Sheets (positions & evaluation form) Google Drive (CV & JD folders) OpenAI API (GPT-4) Slack (for notifications) (Optional) SendGrid or SMTP for email notifications Update Google Sheets structure: Positions sheet: maps Job Role → JD file link Evaluation form: stores evaluation results Prepare Drive folders: /cv folder for uploaded resumes /jd folder for job description PDFs 📋 Requirements ✅ n8n (hosted or self-hosted) ✅ OpenAI GPT-4 account (used in Profile & JD evaluator agents) ✅ Google Drive + Google Sheets access ✅ Slack workspace + bot token (Optional) SendGrid or email credentials for candidate follow-up 🎨 How to customize the workflow Change the fit score threshold in the Candidate qualified? node Edit Slack message content/formatting to match your company tone Add additional candidate metadata to Sheets or Slack messages Use a webhook trigger to integrate with your ATS or job board Swap GPT-4 with Claude or Gemini if you prefer other AI services Expand to include multi-position batch screening logic Happy Hiring! 🚀 Automated with love using n8n