{ "name": "AI Lead Enrichment & Outreach", "nodes": [ { "id": "9d4e7f55-b1b1-4b1b-9b1b-000000000001", "name": "On form submission", "type": "n8n-nodes-base.formTrigger", "typeVersion": 2.2, "position": [ 0, 0 ], "parameters": { "formTitle": "AI Lead Enrichment", "formDescription": "Drop a lead's email + website, describe what you sell, and get a scored lead plus a ready-to-send personalized email.", "formFields": { "values": [ { "fieldLabel": "Lead Email", "fieldType": "email", "requiredField": true, "placeholder": "jane@acme.com" }, { "fieldLabel": "Company Website", "fieldType": "text", "requiredField": true, "placeholder": "https://acme.com" }, { "fieldLabel": "Lead Title", "fieldType": "text", "requiredField": false, "placeholder": "VP Engineering" }, { "fieldLabel": "What You Sell", "fieldType": "textarea", "requiredField": true, "placeholder": "One paragraph: what your product does, ideal customer, pricing model, proof points." }, { "fieldLabel": "Tone", "fieldType": "dropdown", "requiredField": true, "fieldOptions": { "values": [ { "option": "Direct / B2B" }, { "option": "Warm / founder-to-founder" }, { "option": "Consultative / research-led" } ] } } ] }, "options": {} }, "webhookId": "lead-enrich-form" }, { "id": "9d4e7f55-b2b2-4b2b-9b2b-000000000002", "name": "Fetch Company Site", "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.4, "position": [ 232, 0 ], "parameters": { "url": "={{ $json['Company Website'] }}", "options": { "response": { "response": { "responseFormat": "text", "neverError": true } }, "timeout": 15000, "redirect": { "redirect": { "followRedirects": true } } }, "sendHeaders": true, "headerParameters": { "parameters": [ { "name": "User-Agent", "value": "Mozilla/5.0 (compatible; n8n-lead-enrichment/1.0)" } ] } } }, { "id": "9d4e7f55-b3b3-4b3b-9b3b-000000000003", "name": "Extract Company Signals", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 472, 0 ], "parameters": { "jsCode": "const html = $input.first().json.data || $input.first().json.body || '';\nconst form = $('On form submission').item.json;\nconst leadEmail = form['Lead Email'];\nconst leadDomain = leadEmail.split('@')[1] || '';\n\nconst pick = (re) => { const m = html.match(re); return m ? m[1].trim() : ''; };\nconst title = pick(/]*>([^<]+)<\\/title>/i);\nconst ogTitle = pick(/]+property=[\"']og:title[\"'][^>]+content=[\"']([^\"']+)[\"']/i);\nconst description = pick(/]+name=[\"']description[\"'][^>]+content=[\"']([^\"']+)[\"']/i);\nconst ogDesc = pick(/]+property=[\"']og:description[\"'][^>]+content=[\"']([^\"']+)[\"']/i);\n\n// Rough tech stack sniff\nconst stack = [];\nif (/next\\.js|__NEXT_DATA__|_next\\//i.test(html)) stack.push('Next.js');\nif (/react/i.test(html)) stack.push('React');\nif (/vue|vuejs|__VUE__/i.test(html)) stack.push('Vue');\nif (/shopify/i.test(html)) stack.push('Shopify');\nif (/wordpress|wp-content/i.test(html)) stack.push('WordPress');\nif (/hubspot/i.test(html)) stack.push('HubSpot');\nif (/intercom/i.test(html)) stack.push('Intercom');\nif (/segment|analytics\\.js/i.test(html)) stack.push('Segment');\nif (/cloudflare/i.test(html)) stack.push('Cloudflare');\n\n// Heuristic content signals (hiring, pricing, openai etc.)\nconst signals = [];\nif (/careers|we'?re hiring|open positions/i.test(html)) signals.push('Hiring');\nif (/pricing|plans|per month|\\$\\d+/i.test(html)) signals.push('Published pricing');\nif (/soc\\s*2|gdpr|hipaa|iso 27001/i.test(html)) signals.push('Mentions security compliance');\nif (/openai|gpt-|anthropic|claude|langchain/i.test(html)) signals.push('Builds on LLMs');\nif (/series [a-c]|raised|funding/i.test(html)) signals.push('Funding signals');\nif (/ycombinator|y combinator/i.test(html)) signals.push('YC-backed');\n\n// Clean body snippet for the AI\nconst body = html\n .replace(/]*>[\\s\\S]*?<\\/script>/gi, ' ')\n .replace(/]*>[\\s\\S]*?<\\/style>/gi, ' ')\n .replace(/<[^>]+>/g, ' ')\n .replace(/\\s+/g, ' ')\n .trim()\n .slice(0, 3500);\n\nreturn [{ json: {\n leadEmail,\n leadDomain,\n leadTitle: form['Lead Title'] || '',\n website: form['Company Website'],\n whatYouSell: form['What You Sell'],\n tone: form['Tone'],\n companyTitle: ogTitle || title || 'Unknown',\n companyDescription: ogDesc || description || '',\n stack,\n signals,\n body\n}}];" } }, { "id": "9d4e7f55-b4b4-4b4b-9b4b-000000000004", "name": "Qualify & Draft Email", "type": "@n8n/n8n-nodes-langchain.chainLlm", "typeVersion": 1.5, "position": [ 712, 0 ], "parameters": { "promptType": "define", "text": "=You are a senior B2B sales engineer. Assess the lead and produce a structured qualification + cold email.\n\nLEAD\n- Email: {{ $json.leadEmail }}\n- Title: {{ $json.leadTitle || 'unknown' }}\n- Domain: {{ $json.leadDomain }}\n\nCOMPANY (from their site)\n- Name/Title: {{ $json.companyTitle }}\n- Description: {{ $json.companyDescription }}\n- Tech stack detected: {{ $json.stack.join(', ') || 'none detected' }}\n- Signals: {{ $json.signals.join(', ') || 'none' }}\n- Website snippet: \"\"\"{{ $json.body }}\"\"\"\n\nMY PRODUCT (what I sell):\n\"\"\"{{ $json.whatYouSell }}\"\"\"\n\nTONE: {{ $json.tone }}\n\nRULES\n- Score fit on a 0-100 scale. Be honest \u2014 if there's no fit, say so.\n- Cite 2-3 concrete reasons from the site or signals (not generic \"modern tech company\" fluff).\n- Email must mention at least one specific thing from their site (a product line, a tech choice, a hiring move, a customer).\n- Email subject \u2264 55 chars, no clickbait, no emojis, no \"Quick question\".\n- Email body \u2264 110 words. 3 short paragraphs. End with a low-friction CTA (15-minute chat, not a demo).\n- Skip the pleasantries. Do not open with \"Hope this finds you well.\"\n\nReturn strict JSON, nothing else:\n{\n \"fit_score\": 0-100,\n \"fit_reasons\": [\"reason 1\", \"reason 2\", \"reason 3\"],\n \"disqualifiers\": [\"...\"] ,\n \"email_subject\": \"...\",\n \"email_body\": \"...\",\n \"follow_up_angle\": \"One-sentence angle for a day-4 follow-up if no reply.\"\n}", "messages": { "messageValues": [] }, "batching": {}, "hasOutputParser": true } }, { "id": "9d4e7f55-b5b5-4b5b-9b5b-000000000005", "name": "OpenAI Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "typeVersion": 1.3, "position": [ 648, 224 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-5-mini" }, "options": {} } }, { "id": "9d4e7f55-b6b6-4b6b-9b6b-000000000006", "name": "Output Parser", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "typeVersion": 1.2, "position": [ 800, 224 ], "parameters": { "jsonSchemaExample": "{\n \"fit_score\": 0,\n \"fit_reasons\": [\"string\"],\n \"disqualifiers\": [\"string\"],\n \"email_subject\": \"string\",\n \"email_body\": \"string\",\n \"follow_up_angle\": \"string\"\n}" } } ], "connections": { "On form submission": { "main": [ [ { "node": "Fetch Company Site", "type": "main", "index": 0 } ] ] }, "Fetch Company Site": { "main": [ [ { "node": "Extract Company Signals", "type": "main", "index": 0 } ] ] }, "Extract Company Signals": { "main": [ [ { "node": "Qualify & Draft Email", "type": "main", "index": 0 } ] ] }, "OpenAI Chat Model": { "ai_languageModel": [ [ { "node": "Qualify & Draft Email", "type": "ai_languageModel", "index": 0 } ] ] }, "Output Parser": { "ai_outputParser": [ [ { "node": "Qualify & Draft Email", "type": "ai_outputParser", "index": 0 } ] ] } }, "settings": { "executionOrder": "v1" }, "staticData": null }