GenAI in Content Marketing - What's Actually Landed

Where we were vs where we are

Back at the end of 2023, I wrote about how GenAI was going to influence visual creative marketing content. The question then was: how will this change processes, activities, and outputs? Everyone had predictions. Most were wrong.

The prediction that AI would replace content teams? Wrong. The prediction that AI-generated content would flood the market and destroy quality? Partly right, but not in the way people expected. The prediction that most marketers would integrate AI into their workflows? That one landed.

I’ve spent the last two years working with businesses across SMEs and agencies, helping them figure out where AI actually fits in their content operations. Here’s what I’ve found.

What’s genuinely working

Let’s start with the wins, because there are real ones.

Content repurposing at speed

This is the single biggest win I’ve seen. Taking a long-form piece - a keynote, a whitepaper, a detailed blog post - and using AI to break it into social posts, email snippets, video scripts, and summaries. What used to take a content team a full day now takes a couple of hours.

The compression is real. A 3,000-word article can become 10 LinkedIn posts, 5 email segments, and a video outline in a fraction of the time. And the quality is genuinely good enough to work with - it needs editing, not rewriting.

First-draft generation for routine content

Product descriptions, meta descriptions, social captions, internal communications - the stuff that needs doing but doesn’t require deep creative thinking. AI handles first drafts well here. It’s not producing award-winning copy, but it’s producing a solid starting point that a human can refine in minutes.

For SMEs with small teams, this is transformative. It means one person can maintain a content cadence that previously required two or three.

Visual asset variation

Tools like Midjourney and Adobe Firefly have matured significantly. For generating variations of visual concepts - social media graphics, presentation visuals, mood boards - they’re genuinely useful. Not for final production assets in most cases, but for ideation and draft visuals? They’ve changed the speed of the creative process.

Research and briefing

I’ve been surprised by how well AI handles the research and briefing phase. Competitor analysis, audience research summaries, content gap identification - these tasks compress dramatically when AI is part of the workflow. What matters is knowing what to ask and how to validate the output.

What hasn’t worked

Here’s the honest bit.

Long-form thought leadership

AI-generated thought leadership is almost always obvious. It lacks a genuine point of view. It doesn’t have opinions formed through experience. It produces competent, balanced, thoroughly hedged content that reads like it was written by a committee.

If your thought leadership sounds like everyone else’s, it’s not thought leadership. It’s content filler.

I still write my own long-form content. AI helps with research and structure, but the perspective has to be mine. That’s the whole point.

Creative campaigns

AI can generate options. Lots of options. But creative direction - the bit where you decide what to say, how to say it, and why it matters - that’s still a human job. I’ve seen agencies try to AI-generate campaign concepts and end up with technically competent work that has no soul.

The best use of AI in creative campaigns is as a brainstorming tool, not a decision-maker.

Strategy

This one should be obvious, but I keep seeing it. AI can’t do your content strategy. It can help you analyse data, identify patterns, and summarise market research. But deciding where to focus, what to prioritise, and how to differentiate? That requires understanding your business, your market, and your customers in ways that AI simply doesn’t.

Where the real value sits

After working through this with dozens of clients, I’ve landed on a clear framework for where AI adds genuine value in content marketing:

High value: Repurposing, variation, first drafts of routine content, research compression, asset management

Medium value: Brainstorming, ideation, data analysis, audience research, SEO optimisation

Low value: Original thought leadership, creative direction, brand strategy, campaign concepts

The pattern is straightforward. AI excels at compression - taking something that exists and making it faster, cheaper, or more varied. It struggles with origination - creating something genuinely new that reflects a specific point of view.

What I’d tell a marketing team right now

If you’re running a content marketing operation and haven’t properly integrated AI yet, don’t try to do everything at once. Here’s what I’d suggest:

1. Start with repurposing. Take your best-performing long-form content and build an AI-assisted workflow to break it into multi-channel assets. This delivers immediate, measurable value.

2. Build prompt libraries. Don’t let everyone freestyle. Create standardised prompts for your common content types that bake in your brand voice and quality standards.

3. Keep strategy human. Use AI for research and analysis, but make strategic decisions yourself. AI can inform strategy. It can’t replace it.

4. Invest in quality control. The teams that get the best results from AI are the ones that pair it with strong editorial oversight. Speed without quality is just expensive noise.

5. Measure what matters. Track whether AI-assisted content performs as well as human-only content. Look at engagement, conversion, and audience feedback - not just output volume.

The honest outlook

GenAI has genuinely changed content marketing. But it hasn’t changed it in the revolutionary, job-destroying way the headlines predicted. It’s compressed certain workflows dramatically. It’s made small teams more capable. It’s freed up time that smart teams are reinvesting in strategy and creativity.

The businesses winning with AI in content marketing aren’t the ones producing the most content. They’re the ones using AI to produce the right content more efficiently, while keeping humans in charge of the thinking.

That’s where the real value is. And I don’t see that changing any time soon.