LinkedIn Message for Consulting Firm: B2B Lead Generator
A structured prompt to generate personalized and actionable LinkedIn messages for a B2B consulting firm.
Paste in your AI
Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
Write a LinkedIn prospecting message for a consulting firm [FIRM_NAME] specializing in [EXPERTISE_DOMAIN]. The message should be addressed to a B2B executive or decision-maker ([RECIPIENT_FIRST_NAME] [RECIPIENT_NAME]), position: [RECIPIENT_ROLE], company: [RECIPIENT_COMPANY]. The tone is professional, direct, and personalized. Use a hook that references a specific element of their activity: [PERSONALIZED_HOOK] (e.g., an article they shared, a product launch, industry news). Then briefly present the firm's added value on [KEY_CHALLENGE] (e.g., growth, digitalization, operational efficiency). Propose a concrete call to action: a meeting of [APPOINTMENT_DURATION] minutes to explore an improvement avenue. Constraints: maximum [MAX_WORDS] words. Avoid clichés, empty superlatives, and spelling errors. Include an open-ended question to encourage a response. The message should demonstrate an understanding of the recipient's industry challenges.
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Why this prompt works
<p>This prompt is designed for consultants or business development professionals who want to automate the creation of LinkedIn prospecting messages. It includes key variables to personalize each message: first name, last name, company, personalized hook, etc. The goal is to avoid copy-paste and produce messages that show real knowledge of the prospect.</p><ul><li><strong>Step 1:</strong> Fill in the variables in brackets: [FIRM_NAME], [EXPERTISE_DOMAIN], [RECIPIENT_FIRST_NAME], etc. The personalized hook ([PERSONALIZED_HOOK]) is crucial: mention a LinkedIn article, recent company news, or a specific project.</li><li><strong>Step 2:</strong> Use the prompt in ChatGPT, Claude, or any other LLM. Adjust the length ([MAX_WORDS]) according to the platform (LinkedIn recommends less than 300 characters for InMail messages).</li><li><strong>Step 3:</strong> Read and slightly customize the output before sending. The prompt generates coherent text, but a human must check the tone and relevance.</li></ul><p>This prompt is effective for consulting firms in strategy, marketing, IT, HR, or any other B2B service. It allows you to multiply qualified contacts while maintaining a personalized approach.</p>
Use Cases
Expected Output
A complete LinkedIn message (about 150-250 words) personalized with the inserted variables, ready to be copied and pasted into LinkedIn.
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Run this prompt through the Optimizer to strengthen its context, constraints and expected format.
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- LĂ©aAI
Pour enrichir le prompt, demandez au modèle de proposer 3 variantes de l'accroche selon le type d'actualité (article, lancement, résultat financier) et d'inclure une ligne d'objet LinkedIn. Précisez également le contexte relationnel (premier contact, recommandation, échange récent) pour ajuster le degré de familiarité et le ton.
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