If you want your thought leadership content to truly connect, you need to start with audience pain research. This process goes beyond surface-level challenges to uncover the emotional struggles, pressures, and unspoken frustrations your readers face. In B2B spaces—especially for marketers, strategists, and emerging thought leaders—understanding these pains is the key to creating content that resonates and feels necessary. Without it, your message risks sounding generic or irrelevant.
Generative AI can be a powerful accelerator for audience pain research—if used correctly. Simply asking “What problems do B2B marketers face?” often returns shallow, repetitive answers. Instead, give AI a persona and ask it to act as a psychologist or organizational coach. Prompt it to reveal not just external challenges but also internal doubts, fears, and the quiet monologues your audience carries. By layering prompts—first internal pain, then external pain—you get deeper, more vivid insights that shape your writing.
While AI makes the process faster, the responsibility for discernment still lies with you. AI doesn’t understand people—you do. That’s why effective audience pain research requires “slow thinking” with fast tools: questioning, testing, and validating AI’s output against your own experience. When done right, this approach gives you language, stories, and textures of pain that sharpen your thought leadership and make it more relatable.
The best thought leadership doesn’t come from AI alone—it comes from empathy, lived experience, and curiosity. AI can give you a starting point, but it’s your understanding of your audience’s environment, values, and struggles that makes the research real. When you write from that place, you don’t need gimmicks. Your readers will recognize themselves in your words and pull your content in, rather than you pushing it out. AI simply helps you get there faster, with more precision.
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