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Supersearch
Generate Personalized Cold Email Intros for Startups
Cold email prompt example for fast personalization at scale. This prompt creates a one-line, friendly intro for cold outreach by analyzing what a startup does using two inputs: {{property_1}} for the company’s focus and {{property_2}} for the website. It returns a single, simple sentence that starts with “I recently stumbled upon your website, and really like how you…” and explains the value clearly with no fluff. B2B sales teams can plug this into an AI sales research workflow to generate tailored opening lines that boost reply rates without manual research.Use this B2B sales prompt to accelerate outbound prospecting, improve message-market fit, and keep tone consistent across SDR teams. It’s especially useful for lead generation when you need quick, relevant personalization that references what the product actually does. The workflow is straightforward: feed the startup description and URL, let the model parse the site, and output one concise intro optimized for clarity and authenticity. Ideal for sequences, first touches, and LinkedIn DMs where brevity drives engagement.Data involved includes public website content and basic company descriptors, making it safe for enrichment and scalable across large prospect lists. By standardizing a single-sentence opener, teams reduce ramp time, avoid generic intros, and increase positive responses in outbound. If the input is provided in another language, the prompt still outputs the final sentence in English and references the original context appropriately.
AI Prompt Preview
Make a personalised intro in a cold email, based on what the startup {{property_1}} does. Here is their website: {{property_2}},The format should be "I recently stumbled upon your website, and really like how you (insert simple explaination of what they do). No fluffy of fancy words, jsut friendly, straight forward. Only include that one sentence, nothing more. Don't include the company name in the sentence.
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“My template combines personalized messaging with a structured follow-up sequence that has proven to be very successful.”
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