Integrating AI Tools Into Your Content Workflow

I've received a few questions on this, so thought I'd share 5 ways I'm using AI in my day-to-day at work to boost productivity, insight, and strategic clarity: Benchmarking: I use AI daily to quickly validate metrics and performance benchmarks. For instance, when reviewing email open rates, I ask ChatGPT (and other LLMs) for industry benchmarks segmented by email types, industries and content. This provides immediate clarity on performance against the rest, and I can see if we're good, great, or have work to do. This information was hard to find or non-existent before and instantly helps builld context. Thought Partner: LLMs elevate my strategic thinking. Whether analyzing competitors or drafting new strategies, I leverage AI to rapidly identify gaps, assess my thoughts against frameworks like "Seven Powers," and run game theory on them with competitive response and market players. It uplevels my thinking and leads to more comprhensive considerations. Deepening Customer Insights: By processing sales call transcripts and meeting notes through AI, I can surface customer pain points and uncover new insights, which improves my understanding of customer needs, sales blockers and messaging that otherwise would be hard to come by. Writing Partner: I use AI to power my writing process—from refining documents to constructing logical, concise, and compelling arguments. It helps draft outlines, provides examples and proof-points to reinforce my assertions, and streamlines my writing. All-in it makes my writing better and faster. Automating Daily Tasks: I use AI-powered tools daily to track competitors, monitor market trends, and check-in on things I care about. It never stops working and so I always have this information available as needed. Today, AI is integral to about half of my workday. And this is just the beginning—there's even more potential to unlock with automations such as reviewing and drafting replies for my emails, prioritizing which documents to review next, and automated meeting prep. How are you integrating AI into your workflow? I'd love to hear what's worked for you.

AI is only as powerful as the strategy behind it. When I first started using AI in content marketing, I made the same mistake I see a lot of marketers make—I jumped in without a clear plan. I had all these AI tools at my disposal, but without defined objectives, I wasn’t maximizing their potential. That changed when I started treating AI like a strategic partner, not just a tool. Here’s how I approach AI integration in my content marketing workflow: 📍 Set clear marketing goals – Before touching AI, I define the business outcome I want. More traffic? Higher engagement? Improved efficiency? AI needs direction. 🎯 Create SMART AI objectives – Vague goals like "use AI for content" don’t work. Instead, I aim for something measurable: "Increase our blog’s average time on page by 20% in three months using AI-driven headline optimization." 🔗 Align AI with strategy – If AI isn’t helping me scale content, improve quality, or enhance personalization, it’s not the right fit. I focus on AI that amplifies what’s already working. 🤖 Use AI where it makes sense – I let AI handle repetitive tasks like keyword research, content outlines, and SEO recommendations, so I can focus on high-level strategy and creativity. 📊 Measure AI’s impact – AI should drive real results. I track performance metrics, analyze what’s working, and tweak my AI settings accordingly. 🚀 Iterate and improve – AI isn’t set-it-and-forget-it. I review performance regularly and adjust my approach to keep improving. AI works best when it’s guided by strategy. If you’re using AI in content marketing, how do you ensure it’s actually moving the needle? 

My Service Design team at LinkedIn has been actively wokring to experiment with and learn about the new AI tools. So far we've learned that: 🔹 We've got to try the tool to know the tool 🔹 We should document everything - prompts used, tools tried, use cases applied, everything 🔹 We should spend more time writing better prompts to get better results 🔹 We've got to set aside time for learning, for experimentation, for reflection It's now been over a month of intensive experimentation and testing of new AI tools for myself and my team. Some people have been experimenting far longer than that. This post is not for you (though if you have words of wisdom to share in the comments, please do!). If you haven't started trying out the new AI Tools, or you're early in your journey, read on. I wanted to share an early version of a framework for thinking about how to get a handle on the emerging AI Tools landscape: 1️⃣ Learning about new tools - prompt the LLMs, listen, read and watch There are so many new tools to potentially test out. Whatever the use case, I always start by checking with Claude about which tools it would recommend and why. But I also want serendipity and so I am listening to and watching podcasts - Dive Club, Lenny's, How I AI, Beyond the Prompt are my go-tos for now - and reading sources like Lenny's Newsletter, and the Listed AI newsletter to learn about new tools and new use cases. I'm sure there are many other great sources. ❓ What are you go-to sources for learning about AI? 2️⃣ Documenting and evaluating everything that we do to help with tool selection Not only do you have to sift through a growing mountain of new tools, but you also have to match tools with use cases. With that in mind, my team and I keep a running list of problems or opportunities we want to test out AI tools on. In addition, I'm documenting the steps in our workflow, what tools we use today, and where we might integrate new tools to save us time, or improve the quality of our work. This makes it easier to match potential tools with use cases and parts of our workflow. 💡 Clearly documenting what you do and where you might apply new AI tools makes it far easier to move past the paradox of choice with all the new tools, and select a subset to try out. 3️⃣ Set aside time to experiment with the tools - learning the tools does require an investment of time. We meet regularly as a team to experiment and test out new tools. The possibilities of productivity improvements, and quality improvements are real enough that it makes sense for us to devote time to this. I believe it will pay off significantly in the long term. ⏲️ You aren't getting more time in your week, and I'm guessing you were already busy, so you have to make a conscious choice to repurpose some existing time for testing out the new tools. ❓How are you approaching the new AI tools? #AI #Vibecoding #LIPostingDayJune