This is how to use AI for recruitment marketing

AI has moved well past the novelty stage. Most recruitment marketers are using it in some form, whether they've thought about it strategically or not.

So, where does the line sit between helpful and harmful? I've been testing AI tools for marketing for a while now, and I've got a fairly clear view on where they add value and where they create problems.

Understanding your audience

Recruitment marketing works best when you know who you're trying to reach. What motivates them, what concerns them, what they're searching for, what would make them pick up the phone. 

Tools like ChatGPT, Gemini and Claude can help you brainstorm candidate pain points, explore what's happening in particular job markets, and identify content angles you might not have considered.  LinkedIn's analytics and Google's search data are useful too, for spotting when your audience is active and which topics are getting traction. 

But none of that replaces what your consultants know. They're speaking to candidates and clients every day. They know what's shifting before the data catches up. AI can help you organise that intelligence and spot patterns across it, but the knowledge itself has to come from real conversations. the first hand knowledge that comes from those conversations.

Content creation: where to use it, where to stop

This is where I see recruitment marketers getting it wrong most often. Some won't touch AI at all. Others are handing it the keys to the whole content operation.

Where AI works well is in the background. Generating metadata. Suggesting keyword phrases. Turning a long blog post into a set of social captions. Drafting subject lines for an email campaign. Getting past the blank page when you're stuck. I've tried it for all of these, and it can save you time. 

Where it falls apart is when you ask it to write the actual piece. A blog, a thought leadership article, a commentary. It still writes like a machine. Generic phrasing, unnecessary capitalisation, numbered lists where a paragraph would do, and a tone that sounds like it was written by committee. Your readers will spot it. And in recruitment, where your credibility is the product, that's a problem.

What works: get a consultant to spend ten minutes talking about a topic. Record it. Use AI to transcribe that conversation. Then write the piece yourself, with the consultant's insight as your raw material. The thinking comes from a human. The time-saving comes from not having to chase that person for three weeks to get their thoughts in writing. 

One more thing on this, and I think it's important. Editing AI-generated content until it sounds right takes nearly as long as writing from scratch. I've tested this. If you're going to use AI for content, be honest with yourself about whether it's actually faster or whether it just feels faster. 

Personalisation

This is where AI earns its keep.  Adjusting email campaigns based on what someone's actually clicked on, recommending roles that match a candidate's real skills and preferences, serving different content to different visitors on your website. All of this used to need either a big team or expensive software. Now it doesn't. 

There's a difference between cosmetic personalisation (sticking a first name in a template) and personalisation that's actually useful. Useful means the candidate sees roles and content that are relevant to them, not just a mail merge. AI makes the useful kind possible even for smaller firms.

Ethics and trust

I'm going to be direct here because I think a lot of the conversation around AI ethics in recruitment is vague to the point of being useless. 

 If your AI tools are trained on biased data, they will reproduce that bias. In your targeting, your candidate matching, your content recommendations. You need to know what data your tools are using. If nobody's checked, that should worry you. 

Transparency is the other one. If candidates are getting AI-generated messages or interacting with automated content, be upfront about it. Trying to make automated outreach look personal will backfire when people notice. And they always do. 

And anything you put into an AI tool is data that tool can learn from. Be careful what candidate or client information you're feeding into these platforms. Read the data policies. If you haven't, do it this week and decide if it's a tool you still want to use.

Measurement and optimisation

If I had to pick one area where AI has made the biggest difference for recruitment marketers, it would be this. 

Tracking campaign performance as it happens, working out which content is driving applications, spotting shifts in candidate behaviour before they're obvious: this kind of analysis used to need a dedicated data team. Most recruitment firms didn't have one. 

Now you can get tools that tell you which blog posts bring in the most leads, which email subject lines people actually open, which social content reaches the right audience, and which candidates are most likely to engage based on what they've done before. Some will even flag an underperforming campaign before you've noticed it yourself. 

You still need to know what questions to ask, though. AI can crunch the numbers, but deciding what matters, what to act on, and what to ignore: that's still your job.

How AI is changing search

This doesn't get enough attention and it should. 

AI-generated answers now show up at the top of search results. Someone types "best recruitment agencies for finance roles" and they get a synthesised answer before they see a single link. That's what people mean when they talk about "zero click". 

So what do you do about it? 

You want your brand to show up in these results - if they're not clicking through to your website, you still want them to see your brand as the one with the answer or even as the answer itself. And that comes down to building the authority of your brand, through high-quality content and third-party credibility (otherwise known as PR).

Luckily, AI often cites its sources. Which means if the answer isn't straightforward, if there is genuine depth, a specific perspective, original data, or first-hand experience, you're more likely to get that click through to your website. Making the content your consultants can produce, the stuff that comes from what they're actually seeing in the market, more valuable now than it's ever been.

Where this leaves you

The recruitment marketers I see getting the most from AI are the ones treating it as a tool in their kit. They use it to work faster, reach further, and make smarter decisions.  They don't use it to think for them.

If your agency wants to explore how AI can strengthen its recruitment marketing, get in touch with our team.