There’s definitely been a shift over the past year or so. It’s not just about where you rank on Google anymore; it’s about whether you’re mentioned at all.
More people are using AI tools to search. They’re asking full questions instead of typing in a few keywords. They want a straight answer, not ten blue links to work through. Time is of the essence, and users want instant gratification. In fact, when you type anything into Google now, the first block of text which appears is an AI-generated answer providing high-level results which the end user doesn’t need to work for.
So what can make a business stand out when humans are doing less of the ‘thinking’, and AI is providing instant answers? One word… reputation.
Why it’s starting to matter more.
Search used to be fairly predictable. You’d optimise your site, build some authority around it, and if you got it right, you’d move up the rankings. Of course, that still matters, but it’s no longer the full picture.
AI looks at things differently. It’s not just scanning your website and taking your word for it. It’s pulling in signals from all over the place to work out whether your business is actually worth recommending.
That’s where reviews for AI search start to play a bigger role. They give context. They show how real people experience your business, not just how you describe it yourself. And that carries weight.
What reviews are really doing.
People have been reviewing businesses online for years. It gives a human touch to a digital landscape, which can often feel quite cold and unrealistic. At a basic level, reviews build trust. That hasn’t changed.
If someone is choosing between two businesses and one has a steady stream of positive, recent feedback, it naturally stands out. It feels safer.
But it goes a bit deeper than that now.
AI systems are picking up on patterns in those reviews. Not just the rating, but the language people use. Whether certain strengths keep getting mentioned, and whether there are recurring issues.
It’s looking for consistency. So it’s not about chasing five-star reviews across the board. It’s about building a genuine body of feedback that reflects what you actually do well.
Reputation is wider than you think.
Reviews are a big part of it, but reputation doesn’t sit in one place. It spreads across platforms, including Google, Trustpilot, industry directories, social media, and even places you might not check that often.
However, businesses can be scared of reviews. At the end of the day, you’re relying on the general public to paint you in a positive light, and we all know people are better at complaining than praising! You might not have direct control over all of it, but it still contributes to the overall picture, and it is important to bear it in mind for any SEO strategy.
That’s what makes it slightly uncomfortable for some businesses. You can’t fully manage it in the same way you manage your website or your ads. But ignoring it isn’t really an option anymore either.
How businesses usually get it wrong.
A lot of the time, reviews are treated as an afterthought. They’re only looked at when something negative comes in, or when someone internally decides “we should probably get more of these”.
The problem with that approach is that it’s reactive. By the time you start thinking about reputation, it’s often because something has already gone wrong or you’re trying to play catch-up. The businesses that tend to get it right are the ones that build it into their day-to-day without overthinking it.
Building reviews in a natural way.
It doesn’t need to be complicated, and most of the time, it comes down to timing and making it easy.
For example, if you’ve just completed a job and the client is happy, that’s the moment to ask. Not weeks later, when the experience has faded.
A simple follow-up, a quick message, a direct link. Make it as straightforward as possible. You could even offer an incentive to encourage people to leave a positive review.
And when reviews do come in, respond to them. Not in a scripted way, just as you would in a normal conversation. A quick thank you goes a long way.
The same applies to negative feedback. Ignoring it rarely helps. A measured response often says more about your business than the review itself.
Why AI pays attention to this.
AI tools are trying to give people confident answers which are trusted by real people on the other side of the screen.
If someone asks for a recommendation, the system has to decide which businesses are worth mentioning. It can’t rely on one source alone, so it looks for signals that back things up.
A winning combination includes strong reviews, consistent feedback, mentions across different platforms and a general sense that people trust what you do. This all helps to build a level of credibility. If those signals are weak or not there at all, it becomes harder for AI to justify including you in a response.
