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When attempting to scale content creation, Linnworks' marketing team found AI's output grew progressively detached from the customer experience. They reverted to the 'old-fashioned way' of listening to customer calls and interviewing sales staff to capture the authentic spirit and pain points that AI missed.
As AI tools enable marketers to produce more content, engagement is dropping for overly polished materials. Marketers are seeing better results with authentic, "lo-fi" content like screenshot testimonials and "day-in-the-life" videos that feel more human and trustworthy, even in formal B2B industries.
Using AI to save time on content can backfire if the audience expects authenticity. The value in human-created art, writing, or presentations often lies in the invested energy and personal story, which AI shortcuts can devalue in the customer's eyes.
In an AI-driven world, being prolific is no longer enough; content must also be great. To escape the trap of generic 'AI sameness,' marketers should focus on elements that are impossible for AI to replicate on its own: unique company data, distinct customer stories, and the founder's personal history and perspective. The goal is to create content that only you or your business could write.
As AI floods channels with generic content, featuring real people (your team, executives, and customers) in marketing becomes a more valuable and rare strategy. This human element outperforms automated content and builds trust.
To create resonant content, move beyond guessing customer problems. Analyze transcripts of past sales calls with an AI tool to identify recurring pain points, common questions, and the exact language your audience uses to describe their challenges.
AI excels at operational tasks and scaling processes. However, front-facing content should remain human-led. The coming flood of mediocre AI-generated content will make authentic, human-first material stand out and command a premium, as people can easily detect inauthentic content.
To prevent generic "AI slop" in scaled campaigns, provide Claude with high-quality inputs like customer conversations from CRM emails and sales call transcripts (e.g., from Fathom). This ensures the generated content reflects the true voice of your customer.
As AI generates floods of perfect, polished, and often generic content, authenticity becomes a key differentiator. Customers crave connection with the real people behind a brand. Showcasing your team and sharing genuine customer stories builds human-level trust that AI cannot replicate.
As AI tools make slick, polished content ubiquitous, it becomes ineffective "wallpaper." To stand out, marketers should focus on creating lo-fi, human-centric content like behind-the-scenes videos or unscripted moments. This authentic approach builds genuine connection and engagement where AI-like content fails.
As artificial intelligence produces an increasing volume of generic content, companies are placing a premium on authentic human storytelling to stand out. This ability to connect with customers through genuine narratives is becoming a key differentiator in a world of "AI slop."