Your Landing Page is Leaking Sales—Here’s How to Fix It in Seconds Visitors land on your page. But instead of converting, they bounce. Why? Something’s broken. Something’s missing. But what? ❌ Is your CTA too weak? ❌ Is your messaging unclear? ❌ Is your design creating friction? You know something is off, but don’t know what. What if you could get an instant, expert-level report on exactly what to fix? This workflow will do an AI Analysis of your landing page, provide a CRO Audit, so you can optimize your landing page. Who is This For? SaaS Founders & Startups**: Stop leaving money on the table. Make every visitor count. Marketers & Growth Experts**: Turn landing pages into high-converting assets. E-commerce & Lead Gen Businesses**: More conversions = more revenue. How It Works Paste your URL Get an instant roast + fix list Implement changes & watch conversions jump The workflow scrapes the url you input, gets the htlm source code of the landing page, and sends it to OpenAI AI Agent. The Agent makes a deep analysis, roasts the landing page, and provides 10 Conversion Rate Optimization Tips to improve your landing page.
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Screen LinkedIn jobs and send tailored applications with Apify and OpenAI
Quick overview This workflow collects your job preferences via an n8n form, uses Apify to scrape LinkedIn job listings, and has OpenAI screen and rank them. After you approve a shortlist by Gmail, it generates tailored resume and cover-letter PDFs with DocRaptor, emails them to you, and logs matches to Sheets How it works Receives your job preferences and resume text through an n8n form submission. Sends the preferences to Apify to scrape recent LinkedIn jobs, then removes duplicates and obvious mismatches (seniority, years of experience, and location). Uses OpenAI to score each job’s relevance and eligibility and returns a JSON verdict with a fit score and short reason. Keeps the top matches above the configured threshold and emails you a shortlist in Gmail with approve/decline buttons. If you approve, uses OpenAI to draft a job-specific resume and cover letter from only the provided profile text and generates HTML interview prep questions. Converts the resume and cover letter HTML into PDFs via DocRaptor, emails the tailored application package to you in Gmail, and appends the match details to a Google Sheets tracker. Setup Add credentials for OpenAI, Gmail OAuth2, Google Sheets
Run a multimodal WhatsApp AI assistant with OpenAI for text, voice and images
Quick overview This workflow turns WhatsApp into a multimodal assistant that answers text, voice notes, images, and PDF documents using OpenAI, and can generate images with DALL·E on demand, replying back in WhatsApp with either text, audio, or an image. How it works Triggers when a new WhatsApp message is received. Detects whether the incoming message is text, a voice note, an image, a PDF document, or an unsupported type. For text messages, generates an image with OpenAI DALL·E when the message starts with the configured /image command, and sends the generated image back to the sender. For voice notes, fetches the WhatsApp media URL, downloads the audio, transcribes it with OpenAI, and forwards the transcript to the assistant. For images, fetches the WhatsApp media URL, downloads the image, describes it with OpenAI vision using the configured analysis prompt, and forwards the description (plus any caption) to the assistant. For PDF documents, downloads the file from WhatsApp, extracts the PDF text, and forwards the extracted content (plus any caption) to the assistant, while non-PDF files receive an error message. Uses an OpenAI chat model with per-contact short-term memory to ge
Handle WhatsApp support text and voice messages with OpenAI GPT-5 Mini
Quick overview This workflow responds to incoming WhatsApp Business messages, handling both text and voice notes by transcribing audio with OpenAI and replying with an OpenAI chat agent that uses per-contact conversation memory and answers only from the business information you provide. How it works Triggers when a new WhatsApp message is received. Routes the incoming message by type, sending text messages directly to the support flow, audio messages to a voice-transcription flow, and other message types to a fallback reply. For voice notes, retrieves the WhatsApp media URL, downloads the audio file, and transcribes it to text with OpenAI. Sends the customer’s text (original or transcribed) to an OpenAI chat agent configured to answer only using your provided business information. Stores and reuses a per-contact conversation history keyed by the sender’s WhatsApp number to maintain context across messages. Sends the agent’s response back to the customer as a WhatsApp text message. Setup Connect WhatsApp Business Cloud credentials for both receiving messages (trigger) and sending replies, and ensure your WhatsApp webhook is configured to point to the trigger URL. Add OpenAI credenti