Verwendung von KI zur Generierung personalisierter B2B-Kaltakquise-E-Mails

Experte

Dies ist ein Lead Nurturing, Multimodal AI-Bereich Automatisierungsworkflow mit 17 Nodes. Hauptsächlich werden Limit, HttpRequest, GoogleSheets, ManualTrigger, SplitInBatches und andere Nodes verwendet. Erstellen Sie personalisierte B2B-Kampagnen-E-Mails mit Tavily Research und OpenRouter LLM

Voraussetzungen
  • Möglicherweise sind Ziel-API-Anmeldedaten erforderlich
  • Google Sheets API-Anmeldedaten
Workflow-Vorschau
Visualisierung der Node-Verbindungen, mit Zoom und Pan
Workflow exportieren
Kopieren Sie die folgende JSON-Konfiguration und importieren Sie sie in n8n
{
  "id": "4IHvU7TL8cJuEdRh",
  "meta": {
    "instanceId": "15d6057a37b8367f33882dd60593ee5f6cc0c59310ff1dc66b626d726083b48d",
    "templateCredsSetupCompleted": true
  },
  "name": "Generate Personalized B2B Outreach Emails using AI Research",
  "tags": [],
  "nodes": [
    {
      "id": "47326b63-fedc-45c8-acaa-392f49fa7ac3",
      "name": "Lead zu Instantly AI hinzufügen",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1232,
        -80
      ],
      "parameters": {
        "url": "https://api.instantly.ai/api/v2/leads",
        "method": "POST",
        "options": {},
        "jsonBody": "={\n  \"campaign\": \"YOUR_CAMPAIGN_ID\",\n  \"email\": \"{{ $('Loop Over Items').item.json.email }}\",\n  \"full_name\": \"{{ $('Loop Over Items').item.json.full_name }}\",\n  \"company_name\": \"{{ $('Loop Over Items').item.json.company_name }}\",\n  \"custom_variables\": {\n    \"custom_body\": \"{{ $('Generate Outreach Message').item.json.text }}\"\n  }\n\n }",
        "sendBody": true,
        "sendHeaders": true,
        "specifyBody": "json",
        "headerParameters": {
          "parameters": [
            {
              "name": "Authorization",
              "value": "Bearer YOUR_TOKEN_HERE"
            },
            {
              "name": "Content-Type",
              "value": "application/json"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "357f24f2-50ce-4100-9f09-ed8e1dcaf29a",
      "name": "Firmeninfo zu Google Sheet hinzufügen",
      "type": "n8n-nodes-base.googleSheets",
      "onError": "continueRegularOutput",
      "position": [
        928,
        -208
      ],
      "parameters": {
        "columns": {
          "value": {
            "status": "complete",
            "company_name": "={{ $('Limit(Test)').item.json.company_name }}",
            "Key Offerings": "={{ $('Company Research').item.json.output.keyOfferings }}",
            "Company Summary": "={{ $('Company Research').item.json.output.comprehensiveSummary }}",
            "Outreach Message": "={{ $json.text }}",
            "Company Background": "={{ $('Company Research').item.json.output.companyOverview }}",
            "Recent Company News": "={{ $('Company Research').item.json.output.recentWebsiteNews }}"
          },
          "schema": [
            {
              "id": "date",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "date",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "company_name",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "company_name",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "department",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "department",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "job_title",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "job_title",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "full_name",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "full_name",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "postal_code",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "postal_code",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "address",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "address",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "mobile_phone_number",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "mobile_phone_number",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "phone_number",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "phone_number",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "fax_number",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "fax_number",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "email",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "email",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "website_url",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "website_url",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Company Background",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Company Background",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Recent Company News",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Recent Company News",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Key Offerings",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Key Offerings",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Company Summary",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Company Summary",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Outreach Message",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Outreach Message",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "status",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "status",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "defineBelow",
          "matchingColumns": [
            "company_name"
          ],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        },
        "options": {},
        "operation": "appendOrUpdate",
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": "gid=0",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1rYf2kqfmMRUtpFAb5YdhOcsvGg8Gr1CTbO-lvrd48m4/edit#gid=0",
          "cachedResultName": "BusinessCardList"
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "1rYf2kqfmMRUtpFAb5YdhOcsvGg8Gr1CTbO-lvrd48m4",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1rYf2kqfmMRUtpFAb5YdhOcsvGg8Gr1CTbO-lvrd48m4/edit?usp=drivesdk",
          "cachedResultName": "Demo"
        }
      },
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "Ja0tGvoFNudNwqMM",
          "name": "md83 H2"
        }
      },
      "typeVersion": 4.5
    },
    {
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      "name": "Strukturierter Ausgabeparser1",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
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      "parameters": {
        "jsonSchemaExample": "{\n  \"companyOverview\": \"String: 1-2 sentence description from website. (Source: ...)\",\n  \"recentWebsiteNews\": \"String: Bullet points of recent website news/blog posts. (Source: ...)\",\n  \"keyOfferings\": \"String: Bullet points of key products/services. (Source: ...)\",\n\"comprehensiveSummary\": \"String: 1-2 sentence synthesis of companyOverview, recentWebsiteNews, keyOfferings, and thirdPartySentiment\"\n}"
      },
      "typeVersion": 1.2
    },
    {
      "id": "2b52baa3-d06f-4427-8315-9b2fc62322eb",
      "name": "Outreach-Nachricht generieren",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "onError": "continueRegularOutput",
      "position": [
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      ],
      "parameters": {
        "text": "=name:  {{ $('Loop Over Items').item.json.full_name }}\n\ncompany name: {{ $('Loop Over Items').item.json.company_name }}\n\ncompany background: {{ $json.output.comprehensiveSummary }}",
        "messages": {
          "messageValues": [
            {
              "message": "=You are an Expert B2B Cold Outreach Email Drafter.  \nYour objective is to compose a concise, professional, and highly personalized email body (target 100–150 words) to introduce **YOUR_COMPANY_NAME’s AI training and automation services** to a business prospect.\n\n---\n\n**Your Company:** YOUR_COMPANY_NAME  \n**Your Offering:** We provide AI talent development and automation training programs. In particular, we conduct AI training that enables even non-engineers to learn workflow automation through no-code methods.\n\n---\n\n**Input Data Provided:**  \nYou will receive the following information about the prospect and their company:\n* `name`: The prospect's name  \n* `company name`: The name of the prospect's company  \n* `company background`: A summary of the company's background  \n\n---\n\n**Drafting Instructions:**\n\n1. **Identify the Strongest Hook:**  \n   * Analyze the `company background` input carefully.  \n   * Look for the *single most relevant and compelling detail* to use as a personalized opening.  \n   * Prioritize items such as:  \n     - Recent company news or announcements (e.g., funding, launch, partnership)  \n     - A key offering or business focus that aligns with potential AI applications  \n     - A technical or operational aspect that could benefit from automation or AI training  \n   * Choose the hook that allows a natural transition to the value of AI training for *this specific prospect* in *their specific company*.\n\n2. **Structure & Content:**  \n   * **Opening (Personalized Hook):** Start by acknowledging the company or referencing the specific hook you identified (1 sentence).  \n   * **Introduction:** Briefly introduce YOUR_COMPANY_NAME and mention that you offer AI training and automation programs (1 sentence).  \n   * **Value Proposition:** Explain *why* AI training might be relevant *specifically* to their company, based on the hook or company background (1–2 sentences). Focus on benefits like efficiency, productivity, innovation, or growth.  \n   * **Call to Action (Soft):** Suggest a light, non-intrusive next step (e.g., “Would exploring how AI could apply to your operations be valuable?” or “Would you be open to a short conversation next week?”).\n\n3. **Tone:**  \n   * Professional, concise, respectful, and confident.  \n   * Avoid jargon or unnecessary complexity.  \n   * Maintain a helpful and value-oriented tone.\n\n4. **Constraints:**  \n   * Word count: strictly aim for 100–150 words.  \n   * Output language: **English only.**  \n   * Use only the information provided in the input fields — do not invent details.  \n   * If the company background lacks strong details, focus on general AI training benefits relevant to typical business operations.  \n   * Return **only** the drafted email body as plain text — no subject line, greeting (“Hi [Name],”), or signature (“Best,”).  \n\n---\n\n**Output Format:**  \nReturn ONLY the drafted email body as a single English text string.  \nDo not include a subject line, greeting, or closing signature.  \n\n---\n\n**Example Output:**  \n\nWe at YOUR_COMPANY_NAME provide AI talent development and automation training designed to help teams improve efficiency and adopt no-code workflow solutions. Based on your company’s focus on digital transformation and process innovation, we believe structured AI training could provide tangible value. By empowering even non-technical employees to automate routine workflows, your organization could streamline operations and reduce manual effort. This approach not only enhances productivity but also frees your team to focus on higher-impact initiatives. Would you be open to a brief discussion about how our AI training could support your company’s goals?\n"
            }
          ]
        },
        "promptType": "define"
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      "typeVersion": 1.6
    },
    {
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      "onError": "continueRegularOutput",
      "position": [
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      ],
      "parameters": {
        "text": "=company: {{ $json.company_name }}\n\ncompany website: {{ $json.website_url }}\n\n\n",
        "options": {
          "systemMessage": "=You are a Company Information Synthesizer.  \nYour primary goal is to extract key information about a target company by leveraging the `tavilysearch` tool, prioritizing content likely originating from the company's official website.  \nYour secondary goal is to check recent news or updates about the company from credible sources when available.\n\n---\n\n**CORE DIRECTIVES:**\n1. **TOOL USAGE:** You MUST ONLY use the `tavilysearch` tool for information gathering. No other tools or external data sources may be used.\n2. **PRIMARY SOURCE FOCUS (Website):** Prioritize finding and summarizing information directly presented on the company’s official website — especially pages like “About Us,” “News,” “Press Releases,” “Products,” or “Services.” Use Tavily to locate these pages or relevant summaries.\n3. **SECONDARY SOURCE (Recent Updates ONLY):** When possible, use Tavily to find recent updates or press coverage about the company (e.g., partnerships, launches, or expansion news). Avoid unverified or opinion-based sources.\n4. **RECENCY:** For company news and updates, focus on content from the last 12–18 months.\n5. **CONCISENESS:** Keep summaries factual, short, and objective.\n6. **ACCURACY:** Do not invent or assume information that is not explicitly found in your search results.\n\n---\n\n**RESEARCH FOCUS (Guide for using Tavily):**\nUse Tavily to gather concise factual information for each category:\n\n* **Core Business:** Search for `\"[Company Name] About Us\"`, `\"[Company Name] Mission\"`, or similar queries to identify what the company does and its core purpose.\n* **Recent Website News:** Search for `\"[Company Name] news\"`, `\"[Company Name] press release\"`, or `\"[Company Name] blog\"` to identify recent official announcements.\n* **Products/Services:** Search for `\"[Company Name] products\"` or `\"[Company Name] services\"` to list main offerings or product categories.\n\n---\n\n**OUTPUT FORMAT:**\nYour final response MUST be a **single valid JSON object** containing only the following four keys.  \nEach value should be concise, factual, and where possible, include a short citation (link or reference to the company website).\n\n```json\n{\n  \"companyOverview\": \"[1–2 sentences summarizing what the company does and its mission, primarily from its official website. Example: 'ABC Corp is a technology company specializing in cloud infrastructure solutions.' (Source: Company Website via Tavily)]\",\n  \"recentWebsiteNews\": \"[• A bullet point describing a recent announcement, update, or press release. Include a source link if possible. (Source: Company Website News/Blog)\\n- Additional bullet if applicable.]\",\n  \"keyOfferings\": \"[• A bullet point listing a core product or service. (Source: Company Website via Tavily)\\n- Additional bullet if applicable.]\",\n  \"comprehensiveSummary\": \"[1–2 sentences synthesizing the overall company profile, combining the overview, news, and offerings into a cohesive summary.]\"\n}\n```\n\n---\n\n**HANDLING NO RESULTS:**\nIf `tavilysearch` finds no relevant information for a specific field, output the following text for that key:  \n`\"No relevant [Category Name] found via Tavily search.\"`  \n(Example: `\"No relevant recent website news found via Tavily search.\"`)\n\nAll responses must remain in valid JSON format and must not include any commentary, markdown, or explanations outside of the JSON structure.\n"
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          "time_range": "year",
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          "search_depth": "basic"
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          "name": "Tavily account Click to start"
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        "content": "## ② Pick up company information and generate an outreach message\nThe **AI Agent** uses the **Tavily** tool to search for company information based on the person’s name and company name → then generates an email body using the retrieved company information"
      },
      "typeVersion": 1
    },
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      "name": "Haftnotiz1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -768,
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      ],
      "parameters": {
        "width": 912,
        "height": 352,
        "content": "## ① Business card data extraction\n**Click** to start → Retrieve business card data from **Google Sheets**.\n(The Limit node should be deleted during normal use. It’s only used during testing to prevent extra business card data from flowing to the next step.)"
      },
      "typeVersion": 1
    },
    {
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      "position": [
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      "parameters": {
        "color": 3,
        "width": 256,
        "height": 400,
        "content": "## ③ Register leads to instantlyAI\nRegister the email address, name, company name, and the generated email body to instantlyAI"
      },
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    {
      "id": "ebd00e04-5502-414b-8ed7-e76c50800011",
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      "position": [
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      "parameters": {
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        "width": 848,
        "height": 512,
        "content": "## Generate Personalized B2B Outreach Emails using AI Research(Google Sheets→ AI →instantlyAI)\n\n**Description**\nThis workflow automates the creation of personalized B2B outreach email messages by combining AI-powered company research and LLM-based writing.\nIt collects company information, analyzes recent news and offerings, and drafts a professional English email customized for each prospect — helping you scale tailored outreach effortlessly.\n\n**Key Features**:\n\n📄 Retrieves target companies from Google Sheets (status = “ready”)\n\n🔍 Uses Tavily Search (LangChain Agent) to gather company overviews, key offerings, and recent updates\n\n✍️ Generate Outreach Message (LLM Chain) creates a concise and fully personalized email body in English using the AI training context from YOUR_COMPANY_NAME\n This example uses AI training as the base context, but you can easily modify the prompt to match your own business or service\n\n📊 Automatically logs generated messages back into Google Sheets for review or dispatch\n\n🚀 Optional integration with Instantly.ai to send emails directly to your outreach campaigns"
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      "position": [
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      "parameters": {
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        "width": 848,
        "height": 224,
        "content": "**Use Cases**\n\n**💼 Sales & Marketing Teams**: Automatically generate personalized outreach messages for each prospect based on AI-researched company data.  \n\n**🏢 Business Development**: Streamline lead generation by combining company analysis and automated email writing.  \n\n**📊 Growth & Operations**: Maintain a structured outreach record in Google Sheets for easy follow-up tracking.  \n\n**🤖 AI Automation Learners**: Explore how AI agents and LLMs can automate real-world sales workflows.\n"
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      "name": "Geschäftskartendaten-Extraktion abrufen",
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      "parameters": {
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          "cachedResultName": "Demo"
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Häufig gestellte Fragen

Wie verwende ich diesen Workflow?

Kopieren Sie den obigen JSON-Code, erstellen Sie einen neuen Workflow in Ihrer n8n-Instanz und wählen Sie "Aus JSON importieren". Fügen Sie die Konfiguration ein und passen Sie die Anmeldedaten nach Bedarf an.

Für welche Szenarien ist dieser Workflow geeignet?

Experte - Lead-Pflege, Multimodales KI

Ist es kostenpflichtig?

Dieser Workflow ist völlig kostenlos. Beachten Sie jedoch, dass Drittanbieterdienste (wie OpenAI API), die im Workflow verwendet werden, möglicherweise kostenpflichtig sind.

Workflow-Informationen
Schwierigkeitsgrad
Experte
Anzahl der Nodes17
Kategorie2
Node-Typen11
Schwierigkeitsbeschreibung

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Externe Links
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Kategorien

Kategorien: 34