When someone asks AI to recommend a recruitment agency, does it say your name?

Freddie is deciding which recruiters to talk to. Daphne’s hiring and wants three suppliers to shortlist. Not long ago they'd probably have run a Google search and worked down the list of results. Plenty of people still do. But a growing number of us now ask ChatGPT, or are satisfied by the AI answer sitting above the links, and make our decisions based on what it tells us. We get a name, sometimes three, and we make contact.

Does it give us your name?

And if you’re not being named, who is?

Whether an AI recommends your recruitment agency is decided mostly by your PR, not your website. Large language models build answers from what credible third parties say about you: media coverage, industry commentary, reviews and original data. McKinsey found just 1% of the sources AI cites about a brand come from its own site.

Your homepage isn’t the answer

Large language models (LLMs) don't just hop on over to your website and bang, you’re top of their recommendations. They build answers from a mix of sources, which can include live web results, third-party content, forums, reviews, media coverage and the model’s existing knowledge, all weighted in importance by how much they trust the source. A journalist, an industry body, a respected trade title, a podcast your sector actually listens to: those carry more weight than anything you say about yourself. In fact, McKinsey's State of the Consumer 2026 report found that only 1% of the sources an AI cites about a brand come from that brand's own site. So, whether you make it into an AI answer is largely down to your PR and what other people say about you. 

Most recruitment businesses overlook this because the work that moves the needle is slow, and the stats don't fit as neatly on a dashboard. Refreshing your homepage copy is easy and it feels productive. It’s important for everyone who hits your website.  But we’re talking about the people who don’t, and that list could be growing.  Building a relationship with a journalist, or publishing data good enough that other people cite it, is harder and takes longer. But that's what AI rewards - media coverage, industry commentary, expert profiles, original research, etc.

So is SEO dead?

How many times have you heard that over the past 10 years?  Maybe it’s your wishful thinking.  But no.  SEO is going nowhere. But it has changed.

You used to simply (well not that simply) optimise to appear on a results page, someone clicked, they landed on your site, you measured it. Generative search often skips the click entirely; hence the phrase Generative Engine Optimisation (GEO) was coined. Your future client Daphne asks for a recommendation, gets three names, rings one. She may never visit any of their websites at all. So, whether you won the work or you didn't, your analytics never saw the moment that mattered.

Quick aside: I’m using GEO here to mean visibility in generative AI answers, and AEO (yes there are tons of acronyms out there, this one means Answer Engine Optimisation) to mean making your content answer-ready across search, AI overviews and other answer engines.

That changes what you measure

If the lead, in this case Daphne, never touches your site, sessions and last-click attribution are blind to the thing you most want to know: are we being named? 

So, what do you do?

You start tracking mentions and citations as well (notice I didn’t say instead). You ask AI tools the questions your clients would ask, and you log whether you show up (and when you do what it says about you). It's less tidy than a traffic graph, but it's a lot closer to the truth, and it helps you know what to focus on.

AI has changed how you work

Your tracking’s changed.  But your marketing has to as well.

Instead of focusing on one campaign, everything has to fit into a bigger overall story of who you are, what you do, and why you should be recommended. Short-term tactics fail here because the model isn't watching your blog refresh in real time (don’t get me wrong, being recent is important) - it's looking for a pattern of authority, built up across the web over months.

I’m not saying don’t update your blog, that still needs doing (sorry the life of a marketer, ey?), you want fresh, well-structured content, but you need to do more.  You need original data from your placements and salary benchmarks. You need named experts with a consistent bio everywhere they appear. You need to demonstrate depth on a niche area of the market rather than a little of this and a little of that. That's what gets pulled into AI answers, and shows more credibility to the people reading it like Freddie and Daphne too.

Which brings me to who wins and who loses

The good news is even if you’re losing now, you can still win long term.  AI visibility isn't reserved for the biggest brands.  But there’s work to be done.

AI values consistency, which I’ve mentioned but it also wants recency (when it’s not being lazy and answering from its training data but that’s a whole separate box of frogs), and clarity.  When you’ve demonstrated your third-party credibility, it’s more likely to go to your website and lift answers straight out if the writing is clear, concise and provides definitive answers, or if you have original research. AI loves a good stat, so do I.

What might an AI cite you for directly?

Whether it’s pulling it from a piece of media coverage (most likely according to Muck Rack) or your owned content, what makes you likely to get cited (this is the AEO part)?

• Salary guides with methodology 
• Market insight reports 
• Sector-specific hiring trends
• Consultant bios with consistent expertise 
• FAQs answering buyer questions (here’s ours)
• Detailed client case studies
• Expert niche sector commentary

Give the models something concrete to reference, and a reason to attribute it back to you, i.e. because it’s clearly yours and yours only. Rehashing everyone else's content (like say if AI writes your content for you) isn’t going to get you cited.  Sorry not sorry. Originals get cited, not the copycat.

Hold on, what’s the difference between being mentioned and being cited?

Good question, I’m glad you asked.  

Mentioned is your brand name being, well, mentioned in an answer, often recommended but that all depends on the question.  

Being cited is essentially being quoted and often gives you more chance of getting that click-through, as it’s likely to show the source url.

Which is more valuable? 

That’s a tough one.  If the mention says you’re the best and to call you then obviously that’s the winner.  But it’s not always that simple.  And a citation is more likely to show your expertise (the old writing adage is to always show not tell) and let Freddie and Daphne realise for themselves that you are the answer.  But it really comes down to the question.

So, what questions are your targets asking? That’s where your research needs to start.

Here are some examples:

• Which recruitment agencies specialise in senior finance roles in London?
• Who are the best recruiters for tech scale-ups hiring product leaders?
• Which staffing firms publish reliable salary data for engineering roles?
• Which recruitment agency has expertise in hiring in the built environment?
• Who is the best expert for hiring trends in the UK labour market?

Start with five questions your buyers might ask. Run them across ChatGPT, Gemini, Copilot, Perplexity and Google AI Overviews where available. Log whether you're mentioned, whether you're cited, which competitors appear, which sources are used, and what language is used to describe each brand.

Your AI visibility audit should tell you which competitors, trade bodies, directories, publications and individuals are shaping the answers.  And where to focus your time and money.

Summarise all this for me quickly

Keep doing SEO. Good SEO still matters, and getting the fundamentals right is part of being findable. But to make SEO into GEO and AEO, the off-page part includes earning credibility in the places Daphne and Freddie (and now the LLMs) already trust. That's PR. People are just calling it by a new name. The terminology is needlessly confusing, but the principle is simple: be the answer, not just a search result.

Recruitment firms with deep expertise, original data and a clear niche can often outperform much larger competitors because they're providing something distinctive worth referencing.

So, it’s time to get started on your visibility audit.  And if you need a hand, check out our AI positioning sprint package.

Author: Jennifer Wright

As BlueSky PR’s Marketing Director, with almost 10 years’ prior experience in the recruitment industry, Jennifer writes articles and guest posts to inspire recruitment agencies to build their brands, improve their content, bring in more leads and generally make their lives easier.

Key takeaways

• AI recommendations are won mostly through PR and third-party credibility. Muck Rack found 84% of AI citations come from earned sources like press coverage and third-party articles.

• The lead may never visit your website, so track mentions and citations as well as traffic, not instead of it. 
• SEO isn't dead. Keep the fundamentals, then add the off-page authority that GEO and AEO reward. 
• What gets you cited is original, clearly human-written material: salary data with methodology, market insight reports, named-expert commentary, detailed case studies. 
• Start with an AI visibility audit: run the questions your buyers ask across ChatGPT, Gemini, Copilot, Perplexity and Google AI Overviews, and log where you show up and who's beating you.