Auto-analyze Google Analytics data with Gemini AI & smart Gmail/Telegram routing
Who’s it for This workflow is ideal for marketing teams, growth analysts, and business owners who need regular Google Analytics insights without manually digging through data. It’s also perfect for organizations that want to ensure positive performance updates reach stakeholders quickly while negative trends get immediate attention from the internal team. How it works / What it does The workflow runs weekly on a set schedule, pulls key performance metrics from Google Analytics, and aggregates the data into a clean summary. An AI Agent (powered by Google Gemini and connected to Simple Memory for historical context) analyzes the data, generates actionable insights, and classifies the sentiment as Positive, Negative, or Neutral. Positive sentiment → Automatically emailed to stakeholders via Gmail. Negative sentiment → Sent instantly to a designated Telegram group for faster response. This ensures wins are celebrated, and issues are addressed promptly. How to set up Configure the Schedule Trigger for your preferred reporting day/time. Connect the Google Analytics node with your property ID and metrics/dimensions. Set up the AI Agent with Google Gemini/others model API credentials. Connect Gmail and Telegram accounts to their respective nodes. Adjust sentiment routing rules. Requirements Google Analytics account with API access Google Gemini API key Gmail account with OAuth connection Telegram bot token and group chat ID How to customize the workflow Modify the AI prompt to include custom KPIs or industry-specific recommendations. Change the schedule frequency (daily, monthly, or on-demand). Add Neutral sentiment handling (e.g., log to Google Sheets). Extend with Slack, Discord, or other notification channels.
By Rully SaputraBusiness AI command center: Modular agents for Google Workspace, vector search & multi-channel reports
🚀 AI OPS Agent for n8n — Stop Doing Busy Work. Start Leading. Your AI workforce is ready. Are you? 💰 What You Get: Your ROI in 30 Days Replace 10-15 hours/week of manual work with intelligent automation that actually understands your business. While your competitors copy-paste data between tools, you'll be making strategic decisions. --- 🧠 The Powerhouse Stack That Does Everything | Module | Core Job | Your Competitive Edge | |------------|-------------|--------------------------| | MAIN AGENT (Grok 4) | Orchestrator & brain | • Reads your message → builds execution plan<br />• Delegates to specialized agents<br />• Delivers results through your preferred channel | | Knowledge Agent | Company-wide research assistant | • Vector-searches your Supabase docs instantly<br />• Runs live SQL queries for real-time numbers<br />• Hunts & parses Drive files automatically<br />• Pulls fresh web intelligence via Perplexity | | Google Sheets MCP Toolkit | Spreadsheet automation | Natural-language control over read/append/update/clear/create/delete operations on any tab or range | | Google Drive MCP Toolkit | File intelligence pipeline | • Auto-detects file types & extracts text from PDFs/CSVs<br />• Transcribes audio/video content<br />• Describes images with GPT-4o Mini | | Vector Store Loader | Long-term memory system | • Auto-chunks new files<br />• Creates OpenAI embeddings<br />• Stores in Supabase for instant semantic search | | Postgres Chat Memory | Conversation context | Never repeat yourself—every follow-up question builds on previous context | | Report Agent | Executive briefing machine | • Converts raw outputs → clean Markdown → HTML<br />• Auto-emails/Slacks/Telegrams polished reports | | LinkedIn Scraper | Talent & market intelligence | Scrapes full LinkedIn profiles via Apify, delivers structured JSON for analysis | | Multi-Channel Triggers | Meet users where they work | Slack • Gmail • Telegram • WhatsApp • HTTP Webhooks | | LLM Layer | Right model, right job | Grok 4 (reasoning) • Claude Sonnet 4 (analysis) • GPT-4o Mini (speed) • Perplexity (live web) | --- ⚡ How It Works (The Magic in 5 Steps) Message arrives (Slack mention, email, webhook) MAIN AGENT analyzes → selects optimal tool chain Specialized toolkits execute (Sheets, Drive, SQL, Scraper...) Knowledge Agent synthesizes everything using the perfect LLM Report Agent packages & delivers results to your chosen channel --- 🎯 Real Commands That Save Hours Daily > "Update the Marketing-Spend sheet with last week's totals, then email me a chart." > > "Find the product-launch PDF from Drive, summarize key risks, post to Slack." > > "Scrape this LinkedIn URL, rank the candidate's skills, add them to our CRM sheet." > > "Create a new Sprint 11 tab, copy headers from Sprint 10, and ping the team." One command. Multiple systems. Zero manual work. --- Why Choose This Over Other Products: ✅ All Your Data, One Brain No more jumping between 12 different tools. Your AI agent connects everything. You can go further If you want to increase the Agent capabilities or make the more powerfull you can reach the dev. ✅ Vector Search Built-In Upload a 100-page document once. Search it forever with natural language. ✅ Executive-Ready Reports Your C-suite gets clean HTML briefs, not raw data dumps that waste their time. ✅ Deploy in Minutes Plug into your existing n8n setup, add credentials, watch routine ops handle themselves. ---
By Paul🛠️ Autopilot tool MCP server 💪 all 11 operations
Need help? Want access to this workflow + many more paid workflows + live Q&A sessions with a top verified n8n creator? Join the community Complete MCP server exposing all Autopilot Tool operations to AI agents. Zero configuration needed - all 11 operations pre-built. ⚡ Quick Setup Import this workflow into your n8n instance Activate the workflow to start your MCP server Copy the webhook URL from the MCP trigger node Connect AI agents using the MCP URL 🔧 How it Works • MCP Trigger: Serves as your server endpoint for AI agent requests • Tool Nodes: Pre-configured for every Autopilot Tool operation • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Uses official n8n Autopilot Tool tool with full error handling 📋 Available Operations (11 total) Every possible Autopilot Tool operation is included: 📇 Contact (4 operations) • Create or Update a contact • Delete a contact • Get a contact • Get many contacts 🔧 Contactjourney (1 operations) • Add a contact journey 🔧 Contactlist (4 operations) • Add a contact to a list • Check if a contact list exists • Get many contact lists • Remove a contact from a list 📝 List (2 operations) • Create a list • Get many lists 🤖 AI Integration Parameter Handling: AI agents automatically provide values for: • Resource IDs and identifiers • Search queries and filters • Content and data payloads • Configuration options Response Format: Native Autopilot Tool API responses with full data structure Error Handling: Built-in n8n error management and retry logic 💡 Usage Examples Connect this MCP server to any AI agent or workflow: • Claude Desktop: Add MCP server URL to configuration • Custom AI Apps: Use MCP URL as tool endpoint • Other n8n Workflows: Call MCP tools from any workflow • API Integration: Direct HTTP calls to MCP endpoints ✨ Benefits • Complete Coverage: Every Autopilot Tool operation available • Zero Setup: No parameter mapping or configuration needed • AI-Ready: Built-in $fromAI() expressions for all parameters • Production Ready: Native n8n error handling and logging • Extensible: Easily modify or add custom logic > 🆓 Free for community use! Ready to deploy in under 2 minutes.
By David AshbyAuto-generate SEO meta descriptions & keywords for Magento 2 with GPT-4.1 & LangChain
This workflow intelligently regenerates meta descriptions and meta keywords for Magento 2 product pages using OpenAI and SEO best practices. 🔍 What It Does: Accepts SKU input via a public form Fetches the product by SKU from your Magento 2 store Extracts existing description, meta description, and keywords Uses a LangChain-powered AI Agent with OpenAI to: Analyze the current product content Generate a high-conversion meta description (150–160 characters) Generate 5–7 optimized SEO meta keywords (while retaining existing ones, avoiding duplicates) Updates the product's metadata in Magento via REST API ⚙️ Technical Highlights: Magento 2 REST integration FormTrigger node for user input Add Role so AI know the Tone of you JavaScript code node for safe HTML parsing LangChain AI Agent with OpenAI (GPT-4.1 mini) Structured output parser to format AI response Automatically pushes updated metadata back into Magento 🧪 Optional: SerpAPI (plug-and-play support included but disabled) can be enabled to bring real-time search trend data into the AI prompt. ✅ Ideal For: Magento 2 store owners, developers, and SEO teams who want to automate metadata updates and boost search performance without touching product pages manually. How This AI Automation Workflow Helps Magento 2 Store Owners Stay Ahead Automates SEO Meta Updates at Scale Manually updating meta descriptions and keywords across hundreds or thousands of products is time-consuming and error-prone. This AI-driven workflow automatically reads the current product descriptions, analyzes SEO opportunities, and generates optimized meta keywords and descriptions — all without manual copywriting. This saves significant time and labor while keeping your SEO metadata fresh. Uses AI to Align with Latest Search Trends The workflow integrates with live search trend data (via SerpAPI or other tools) so that generated meta keywords and descriptions incorporate current popular search queries, trending phrases, and relevant semantic keywords. This ensures your product pages rank better by tapping into what buyers are actively searching for right now. Improves Search Engine Rankings and Click-Through Rates (CTR) Well-optimized meta descriptions that include power words, clear calls to action, and keyword clustering help improve Google’s understanding of your pages and entice more clicks from search results. This drives more organic traffic and increases the chance visitors convert into customers. Maintains Brand Authority and Trustworthiness The AI prompt is designed to follow Google’s E-A-T guidelines (Expertise, Authoritativeness, Trustworthiness), ensuring your product metadata builds credibility. Consistent, accurate meta descriptions contribute to a professional brand image and help improve SEO reputation. Keeps Magento Store Metadata Consistent and Up-to-Date Product content changes frequently—new features, specifications, or uses arise. This workflow allows easy regeneration of SEO metadata after product updates or on-demand, so your Magento store’s search snippets never become outdated or irrelevant. Simple Integration with Magento 2 API and Your Existing Workflow Since the automation fetches and updates product meta fields via Magento’s REST API, it works seamlessly with your current Magento setup without heavy manual work or additional plugins. This smooth integration minimizes technical complexity. Why This Matters in the Current Market SEO remains a top driver of online sales — with evolving algorithms and user search behaviors, staying current and relevant in metadata is essential for visibility. Voice search, mobile search, and semantic search make keyword strategy more complex; AI-powered semantic keyword clustering simplifies this. E-commerce competition is fierce — automated, data-driven SEO optimizations give you an edge over stores relying on static, outdated meta descriptions. Content automation is becoming a necessity — businesses using AI for SEO benefit from faster iteration and more consistent messaging, helping them capture shifting consumer trends. Summary This AI + Automation + Workflow approach enables Magento 2 store owners to continuously and efficiently optimize their product metadata, leveraging live market data and SEO best practices to boost organic rankings, attract more visitors, and increase conversions — all while reducing manual workload.
By Kanaka Kishore Kandregula