In a recent LinkedIn post, Alicia Teltz discusses a strategic approach to overcoming content creation paralysis on the platform, advocating for a more sophisticated use of AI tools. Teltz emphasizes moving beyond basic AI prompts to a structured system that leverages artificial intelligence to build a sustainable content pipeline.
Teltz begins by highlighting the common pitfall of generic AI prompts, stating:
“Stop asking AI to “write me a LinkedIn post about X.” I’m beeeggggging you!! 🙏🏻”
Instead, Teltz proposes a 10-step process, primarily utilizing an AI tool named Stanley, to develop a content system that aligns with an individual’s unique brand voice and strategic goals.
Leveraging AI for Identity and Strategy
The initial steps of Teltz’s framework focus on using AI to understand the user’s existing presence and performance. The first step, dubbed “The Identity Crisis,” involves prompting the AI to analyze the user’s profile and past successful posts. As Alicia Teltz notes, this allows the AI to:
“knows your tone, your sentence patterns, your weird obsession with emojis 💅🏻”
This personalized understanding is crucial for generating content that feels authentic. Following this, “The Strategy Check” involves analyzing content performance to identify patterns, gaps, and opportunities, enabling data-driven decisions rather than guesswork.
Identifying Trends and Customer Pain Points
Teltz then moves to external analysis with “The Trend Spotter,” where AI helps identify trending topics within a specific niche. This ensures content remains relevant and current without excessive manual research. Complementing this is “The Pain Analyser,” which prompts the AI to identify customer pain points. According to Alicia Teltz, this step is vital for:
“Turns vague themes into very specific problems ➔ Basically hands you what people are already thinking”
By understanding what the audience is actively thinking about and struggling with, creators can develop more resonant and impactful content.
Drafting, Refining, and Optimizing Content
The subsequent steps focus on the actual creation and enhancement of posts. “The Idea Dump” generates multiple post ideas based on the previous analysis, allowing the user to select the most promising concepts. “The First Draft” then uses the AI to write an initial version, crucially, in the user’s established voice. Teltz stresses the importance of this personalization, stating that the AI should write like the user, “not like every other AI-generated post.”
Further refinement comes with “The Optimiser,” which helps improve the post’s hook, structure, and call to action for better reach and engagement. “The BS Detector” acts as a crucial authenticity check, ensuring the content doesn’t sound overly artificial, a point Teltz emphasizes by noting, “your audience can smell inauthenticity from a mile away.”
Visuals and Batching for Consistency
Recognizing the importance of visual appeal, Teltz includes “The Image Creator,” where AI can generate relevant imagery, freeing creators from the need for constant selfies or stock photos. The final step, “The Rinse & Repeat,” focuses on efficiency, enabling users to batch multiple posts at once. This systematic approach, Teltz argues, builds a consistent content queue efficiently.
Teltz concludes by addressing the cost of AI tools, comparing it to the expense of ineffective, inconsistent posting. The author also announced an upcoming LinkedIn Live session detailing content strategy, reinforcing their expertise in this domain.
📝 About This Content
This article is based on insights shared by Alicia Teltz on LinkedIn.
📅 Originally posted on March 26, 2026 | View original post on LinkedIn →