Supersearch
Identify Ideal Client Companies for B2B Sales
B2B sales prompt that helps define your ideal customer profile quickly and consistently. This prompt analyzes a company’s core details and outputs a concise, conversational ideal client name in three words or fewer. It ingests structured fields like company description, industry, keywords, website, and city, then applies ICP logic to suggest the most likely target account type for outbound. Perfect for sales and marketing teams building prospect lists, refining targeting, and prioritizing accounts, it streamlines segmentation before outreach and improves message-market fit for cold email and social selling.Use this AI sales research workflow to accelerate lead generation by converting raw company metadata into a clear ICP target you can feed into enrichment, list building, and personalization tools. SDRs and growth marketers can plug it into research rhythms, ensuring consistent, human-sounding outputs that omit legal suffixes and stay under three words, ideal for snippets, filters, and CRM fields. It’s especially useful for outbound prospecting where speed and clarity matter.Typical workflows:- Ingest firmographic inputs and website- Generate the conversational ICP company name- Apply output to list filters and campaign branches- Enrich and personalize cold email messagingIf your input is in another language, the system detects it and still produces the final description in English only, while noting the original language at the end. Original input language: variable based on submission.
AI Prompt Preview
Your goal is to understand as much as you can about the company below and then tell me who their ideal client would be. You must follow these rules1. Output only the ideal client's company name2. Format the ideal clients company name as if it were being used in conversation. Do not use "llc" or "inc"3. Output should NEVER exceed 3 wordsCompany information (you are finding ideal client for this company){{property_1}}Industry: {{property_2}}Keywords: {{property_3}}Website: {{property_4}}City: {{property_5}}
17,048 runs
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