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With 41% of LinkedIn content being AI-generated, users crave tangible value. Providing “stealable” assets like templates, checklists, or real email screenshots drives 40% more engagement. This approach offers immediate utility, cutting through the noise of generic, AI-driven advice and building audience trust.

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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.

As LinkedIn becomes saturated with generic, AI-generated content, the bar for standing out has ironically lowered. Simple acts of authenticity, like a personalized voice note or video message, now cut through 99% of the noise and generate significantly higher response rates.

To create "insanely valuable" content, optimize for actions that signal deep engagement, such as replies, DMs, shares, and saves. Social platforms prioritize this content over items that only receive passive likes or views, as it indicates a stronger connection with the audience.

AI models increasingly cite LinkedIn for answers. While posts have short-term reach, LinkedIn articles and newsletters offer permanent, indexable content that LLMs can access indefinitely. This creates a lasting asset for discoverability and lead generation, with one expert attributing 30-40% of his leads to this channel.

When platforms like LinkedIn track specific metrics like 'saves,' explicitly asking users to 'Save this post' in your copy leads to a measurable increase in that action. This simple directive gives a clear signal to both the user and the platform's algorithm, improving content performance.

To convert followers, LinkedIn posts must provide a self-contained, valuable thought rather than just teasing content. By giving away the core insight (e.g., "the 3 most important things"), you build authority and earn shares. The call-to-action can then offer deeper context and personal stories from the main article.

Data shows raw, authentic 'lo-fi' content significantly outperforms polished material. LinkedIn posts see 144% more engagement, Instagram gets 220% more, and email click-throughs rise 88%. This strategy works for all industries, including 'boring' B2B, because authentic human connection wins.

As AI overviews and user habits discourage clicks, marketers should provide standalone value directly within emails and social posts. This 'no agenda marketing' builds brand equity and top-of-mind awareness with the 95% of your audience not currently in-market, so they think of you when they are ready to buy.

Pay attention to the metrics LinkedIn emphasizes, as they reveal what the algorithm currently values. The addition of 'sends' and 'saves' is a direct signal to create content that people will share in DMs or save for later, such as practical guides or highly relatable memes.

Using raw AI output on LinkedIn is a form of laziness that gets drowned out. Instead, elite sellers use it as a starting mold—a 'lump of clay'—which they must then personalize with their own authenticity and insights to make it valuable and unique.