In a recent LinkedIn post, Alicia Teltz discusses her unique approach to content ideation, leveraging an AI tool named ‘Stanley’ to identify topics likely to resonate with her audience. Teltz frames her exploration around a weekly process where Stanley analyzes her published posts, determines which have performed best, and then generates fresh content ideas complete with predicted engagement rates.
Leveraging AI for Content Ideation
Teltz highlights the practical application of this AI tool in her content creation workflow. She outlines the steps involved, emphasizing how Stanley’s analysis leads to actionable suggestions. According to Teltz, the process is straightforward:
“Stanley looks at my published posts and analyses them. It figures out which ones resonated with my audience. Then sends me an email with fresh content ideas based on what worked. And includes a predicted engagement rate for each topic.”
This systematic approach, as described by Teltz, aims to move beyond guesswork in content strategy, providing data-backed insights to inform her posting schedule.
Top Content Themes Predicted by AI
Teltz shared the top five content topics suggested by Stanley, along with their predicted reach multipliers. This list offers a glimpse into the types of personal and professional insights that Teltz’s audience finds most engaging. The topics range from candid entrepreneurial reality checks to practical advice on LinkedIn profile optimization and expense breakdowns.
Entrepreneurial Journeys and Financial Transparency
Among the highest-predicted topics is a post detailing the shift from a corporate career to entrepreneurship. Teltz frames this as a “Month 9 reality check,” with Stanley predicting it could yield 2.2 times more reach than average. Another financially-focused idea, “My $4,382/month ‘staff’ expense breakdown: What I actually pay people to do,” was also among Stanley’s top suggestions, predicted to achieve 1.2 times more reach.
“From $250k corporate to $0 entrepreneur: Month 9 reality check.”
As Alicia Teltz notes, this transparency around financial realities and operational costs appears to be a key driver of audience interest.
LinkedIn Strategy and Personal Anecdotes
Teltz also presented forward-looking advice, with the topic “The 3 things I’d do differently if I was starting on LinkedIn in 2026” predicted to generate 1.5 times more reach. This suggests an audience keen on future-proofing their social media strategies.
Furthermore, a more provocative topic, “I blocked 18 people this week. Here’s why you should too,” was also flagged by Stanley, indicating a 1.1X reach prediction. This highlights an audience interest in the more unfiltered aspects of online professional interaction.
“I reviewed hundreds of LinkedIn profiles. Here’s the #1 mistake killing your reach.”
Teltz uses these AI-generated suggestions to solicit direct engagement from her followers, asking them to vote on which topic she should publish next. This interactive element, as Teltz explains, is part of a plan to “track the Engagement Rate together” and test the efficacy of the AI’s predictions.
The Role of AI in Content Creation
The post serves not only as a preview of Teltz’s upcoming content but also as a case study for leveraging AI in content strategy. By sharing her process and the specific suggestions from Stanley, Teltz positions herself as a thought leader exploring innovative tools for creators. She concludes by offering her followers a chance to try Stanley for themselves, further underscoring the practical benefits of AI-driven content recommendations.
📝 About This Content
This article is based on insights shared by Alicia Teltz on LinkedIn.
📅 Originally posted on April 12, 2026 | View original post on LinkedIn →