6 min read

Your Customers Are Asking AI Who to Hire. Right Now, It Isn't Saying You.

More buyers now ask AI assistants who to hire instead of Googling. Here's how to make sure your business shows up when they do.


Picture the moment someone finally decides to fix the problem you solve. A year ago, they opened Google, typed a few words, and skimmed a page of blue links until something looked credible. This year, a growing number of them do something different: they open ChatGPT, Gemini, or Perplexity and simply ask. “Who should I hire to automate my client follow-ups?” “What’s a good agency for a small B2B founder in Europe?”

And the assistant answers. Not with ten options to compare — with a short, confident recommendation. A name or two, a sentence on why, and the buyer moves on.

Here’s the uncomfortable part. If your business isn’t in that answer, you were never in the running. There was no page two to scroll to, no chance to catch their eye further down. The conversation happened, a shortlist formed, and you simply weren’t on it.


This Isn’t a Prediction. It’s Already Happening.

It’s easy to file this under “future hype,” so let’s ground it.

Back in early 2024, Gartner forecast that traditional search engine volume would fall by 25% by 2026 as people shifted queries to AI chatbots and virtual agents. The exact figure is still debated — but the direction it pointed at is now measurable, not theoretical.

Adobe, tracking real transactions, found that traffic arriving at US retail sites from generative-AI sources jumped more than 1,200% year over year. In their survey, roughly four in ten shoppers said they’d already used generative AI to help them shop, and 83% said they were more likely to lean on it for bigger, more considered purchases.

Those numbers come from retail, where the data matures fastest. But the behaviour underneath them isn’t about buying trainers. It’s the habit of asking a machine for a recommendation instead of researching one yourself — and that habit is spreading to exactly the high-consideration decisions your future clients make when they choose who to trust with their business.


Why This Breaks the Old Playbook

For twenty years, being found meant ranking. You wanted to be on page one, ideally near the top, because that’s where attention lived. But even a modest position still put you in the room. The buyer saw a list, weighed a few names, and might click yours out of curiosity.

AI answers collapse that room. The assistant doesn’t hand back a list to browse — it hands back a decision, already mostly made. You’re either named or you’re invisible, and there’s no scrolling your way back into consideration.

That changes the goal. The old question was “how do I rank higher?” The new one is “when someone describes their problem to an AI, is there any reason for it to say my name?”


Search gave you a seat in a lineup and let the buyer choose. AI increasingly makes the shortlist first — and you don’t get to argue your way onto it after the fact.


Why the AI Isn’t Recommending You Yet

If you’re absent from those answers, it almost always comes down to three plain gaps — and none of them are about being clever.

  • It doesn’t know you exist. If your presence online is thin, inconsistent, or buried, the model has nothing to draw on. You can be brilliant in person and a blank space to an assistant that only knows what it can read.
  • It can’t tell what you actually do. Vague, clever, we-do-it-all messaging confuses a human and defeats a machine entirely. If your own site can’t state plainly who you help and what problem you remove, the AI can’t repeat it for you.
  • It has no reason to trust you. These systems lean toward consensus. If nobody else — reviews, directories, mentions, other people’s writing — corroborates that you’re good at the thing, one polished homepage isn’t enough to earn the recommendation.

Notice what’s not on that list: no trick, no secret tag, no algorithm to game. The gaps are clarity, presence, and reputation — the same things that have always won trust, now being read by something new.


What Actually Gets You Into the Answer

The good news is that the work of becoming AI-recommendable is the work of becoming genuinely easy to recommend, full stop. For a small team, it’s a short, durable list:

  • Say who you help and what you do, in plain words. Somewhere obvious, answer the real question a buyer would ask: “I do X for Y kind of business so they can stop Z.” Write it the way a person would say it out loud, not in marketing fog.
  • Publish content that answers real buyer questions. The assistants build their answers out of genuinely useful material. Every clear, honest post that resolves a question your clients actually ask is a place your expertise can be pulled from — and a reason to be cited.
  • Get corroborated somewhere other than your own site. Reviews, an accurate business listing, being mentioned by people you’ve worked with. Third-party signals are how a machine tells a real operator from a good-looking homepage.
  • Keep the basics consistent everywhere. Same business name, same description of what you do, same contact details across every profile. Contradictions make you harder to understand and easier to skip.
  • Keep doing the SEO fundamentals. This isn’t a replacement for search — it’s a layer on top of it. The businesses AI recommends tend to be the same ones that already have a clear, well-organised presence. Strong foundations feed both.

Do these and you’re not chasing a new algorithm. You’re removing every reason a machine might have to leave you out.


The Reframe for Founders

It’s tempting to treat this as one more channel to panic about, one more thing you’re already behind on. It isn’t. The businesses AI points people toward are the ones that are genuinely clear about what they do, genuinely useful to the people they serve, and genuinely well-regarded by them. That’s not a new game — it’s the oldest one there is, finally being rewarded by the tools people now use to decide.

The shift worth internalising is small but total: your next client may form an opinion of you before they ever reach your website, in a conversation you’re not part of, with an assistant that only knows what the wider web has told it about you. You can’t join that conversation after the fact. You can only make sure that, long before it happens, there’s a clear, credible, consistent answer to the question “who does this well?” — and that the answer includes you.


The buyers haven’t stopped looking for what you offer. They’ve just changed who they ask first. The ones who adapt won’t be the loudest or the biggest — they’ll be the clearest and the most trusted, because that’s what a machine can actually read and repeat.

If you’re not sure what an AI would say about your business today, that’s the first thing worth finding out — and the fixable part is closer than it feels. LuliDigital’s Digital Marketing helps founders and small teams get clear, get visible, and get corroborated, so that when your next customer asks an assistant who to hire, there’s a straight answer waiting — and it’s you.