We know that creating great content that resonates with your audience takes time. Why not repurpose your well-performing content into different formats? Well, AI tools can  do this for you, trasnforming long-form pieces into dozens of bite-sized, channel-ready assets.

Imagine you've just held a 45-minute online webinar with successful results and feedback. Instead of spending days rewriting, reformatting and designing new assets, you feed the transcript into a generative AI model like GPT-4 or Claude. And within moments, it returns with a range of new digital content assets, for example:

• A concise, scroll-stopping X thread pulling out the webinar's most powerful insights
• A polished LinkedIn post that translates the session into thought leadership content
• A helpful step by step PDF download for online users to download from your website for free if they sign up to your newsletter
• A short-form TikTok video, trimmed to platform-specific duration
• A punchy email teaser campaign linking back to the full recording or your next planned webinar

Not only does this give your content new life, it allows you to reach different segments of your audience in the formats they prefer. Of course the time you will save is significant but also your core messaging remains unified, even when the tone, structure and attention span is tailored to each platform. These are the kinds of content repurposing strategies that give your team that true competitive edge.

If you’re still building your customer personas based on assumptions or limited survey data, you may be targeting the wrong demographics unintentionally. With AI, you can analyse actual customer behaviour to uncover deep, data-backed insights. These are the building blocks of building buyer personas with AI. From here, you can uncover customer’s pain points, preferred language and tone, hurdles in the customer journey and motivations for conversion.

By uploading customer support transcripts or online reviews to an AI model, you can prompt it to “identify the most common frustrations new users mention in the first month” or “summarise how customers describe our product in their own words.” What comes back will be a clear map of what your audience actually thinks and feels!

From there, you can prompt the model to build full persona profiles e.g. “Create a persona for a customer who bought within 7 days of discovering us. What do they care about, what convinced them to purchase and what nearly stopped them?”

Instead of flat demographics and vague motivations, you’re left with vivid, three-dimensional profiles (including behaviours, preferred channels, buying triggers and even objections) all shaped by real data. These personas become practical tools you can brief your content team with, ensuring everyone is aligned around the real people you're selling to and not just imagined avatars.

Most email personalisation stops at “Hi [First Name]” and maybe a job title but we’ve found that barely scratches the surface of what truly resonates. By analysing previous email behavioural data, AI marketing tools can generate unique email copy for specific segments of your audience. Think:

• Dynamic subject lines tailored to audience pain points
• Content blocks that change based on buyer stage
• Tone adjustment based on audience context (e.g. direct for time-poor execs, friendly for community-minded founders)

Start by exporting key engagement data: which subject lines drove opens, who clicked through, what links were most popular and which users have gone quiet?

You can then prompt AI to create re-targeting campaigns personalised to segments, with the aim of creating high-value that engages the reader e.g. “generate re-engagement email copy for users who haven’t opened a campaign in 90 days, but previously downloaded our whitepaper.”

The result? Higher open rates, more engagement and better conversions without writing hundreds of versions manually.

Idea Starter: Test subject lines written by AI specifically for your core personas - you may be surprised by what resonate!

Ever read a piece of content your team published and thought ‘that doesn’t sound like us…”? As a marketing team grows and content gets created by multiple people, maintaining a consistent brand voice becomes harder. This is where our good friend AI comes in.

Rather than rewriting every piece by hand or relying on rigid templates, AI can be trained to understand and mimic your unique brand tone, style and messaging preferences. This starts with feeding it the right training data: blog posts, email newsletters or even internal brand guidelines. You're essentially giving the AI a crash course in ‘how we speak.’

Once trained, it acts like an internal ghostwriter, helping your team to draft content that always sounds like you and avoid language that creates inconsistencies.

Yes, we hear you… screaming at your screen that you already use AI for social media content. And that’s great! But captions for your Instagram posts is only scratching the surface.

The real magic happens when you go beyond type, generate, copy-paste and start using AI as a strategic partner across the entire social lifecycle - from ideation to asset creation to performance analysis.

Let’s say you’re launching a new product. Instead of trying to brainstorm the perfect hook, you prompt an AI model with your product benefits, target audience and tone, asking it to suggest 10 different creative campaign angles, each tailored to a different platform (e.g. bold and punchy for Reels, educational for LinkedIn, snappy and ironic for X). This alone can spark ideas your team hadn’t considered.

Next: visuals. Using tools like Midjourney or Adobe Firefly, you can generate draft imagery or concept mock-ups to explore visual directions for the campaign. This is especially helpful in early creative phases or when you need content fast and your design team is maxed out.

And it doesn’t stop once the post goes live! Why not upload a week’s worth of post-performance into an AI model and ask it to:

• Identify which content pillars are driving the most engagement
• Flag underperforming formats and explain possible causes
• Translate comment sentiment into clear takeaways ("Why are people engaging less on product-related posts?")

Because in 2025, posting for the sake of visibility isn’t enough. The brands that win are the ones that move fast and smart and AI is a helpful marketing tool to do both.

You don’t need to overhaul your entire strategy overnight. Start by integrating AI into one or two marketing channels or campaigns (perhaps email or social content) and scale up as you see results.