Businesses that actively respond to customer reviews are much more likely to appear on AI responses

Reviews are essential for businesses today, especially in financial services where trust is everything. Consumers and AI tools both use reviews as a major trust signal when deciding who to contact.

The concern around fake reviews does not worry us too much because AI increasingly takes a multi-source approach. We use both Google reviews and verified platforms like VouchedFor, where reviews are independently checked. AI can recognise the difference between open review platforms and verified ones and weights them accordingly.

My advice to businesses is to focus on detailed, specific reviews rather than generic praise. Instead of “Fred was great,” encourage reviews like: “We wanted pension consolidation advice and dealt with Fred from the Wimbledon branch.” That gives AI far more context, improves visibility and is more effort to fake.

With AI now relying heavily on online reviews, consumers are entering a dangerous coin-flip economy where an Arxiv study found people could only spot AI-generated fake reviews with 50.8% accuracy. Businesses are quickly realising that reviews are no longer just feedback, they’re becoming the digital shop window AI uses to decide who lives, dies or disappears online. I’ve personally come across smaller businesses and service providers that were far better than the market leader, but simply didn’t have the marketing budget to dominate online visibility. That’s why leaving reviews for independent businesses now matters more than ever, because one thoughtful review could genuinely help a brilliant small company appear in AI search instead of being buried beneath bigger competitors with deeper pockets. In the race to win AI visibility, trust itself risks becoming just another product that can be manufactured unless consumers actively support the businesses they truly value.

Verified reviews are the lifeblood of a modern business with 58% of consumers using AI for discovery. They have evolved from a reputation tool into a primary "visibility signal” and now "fuel" algorithmic recommendations. The TruthEngine report (50% of reviews are fake) is a major ethical concern but AI models now use sentiment analysis and "The 3 Rs" (Recency, Relevance, Ranking) to detect patterns and filter bot-driven data. To remain visible, businesses must shift to active management. My advice is to systemize review requests to hit the threshold as quickly as possible and prioritize responding to every entry. Focus on gathering specific, detailed feedback rather than generic praise; AI uses these details to categorize your niche. Authenticity is key so businesses need to use a review system that verifies customer replies. As with all data, it’s still a case of ‘Garbage in, garbage out’.

I think it's very important to respond if someone's taken the time to leave you a review. Either you can thank them for a glowing review or you can take the feedback and learn from it. It's a virtuous circle and any benefit from AI is therefore a bonus because who knows how the models will change in the future and what factors will be relevant in 6-12 months?

Businesses built on slop, shortcuts and synthetic reputations may win briefly, but they won’t sustain trust long term.

This is hugely encouraging news on one hand, because it validates what many of us in hospitality and service businesses already know: authentic reviews and genuine customer engagement really matter.

Despite the fake and manipulated reviews out there, I still believe the truth will out. AI will only become more sophisticated at spotting patterns, authenticity and consistency over time.

My advice to businesses: stop chasing hacks and focus on delivering a genuinely great service. In the long run, authenticity compounds.