Preface Social Media
Preface Social Media
Preface Social Media



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Consumer trust and AI replies in social media

 

Tim Hanslow.

Social Media Monitoring

AI isn’t the thing customers are looking for or talking about. Customers are judging the interaction and the relationship, they want authenticity. And that’s not AI’s fault. Authentic doesn’t mean “written by a person”. It means someone truly understood me.

 

A person can write an inauthentic response.
And an AI can write an authentic one.

Picture two replies going to a customer, one written by AI, one written by a person, and no one can tell which. Would they care? Of course not, because they’re heard, looked after.

Or picture a reply that makes someone think “Did anyone actually read what I wrote?”. And that’s where the trust gap forms.

 

AI excels at things right now. It can summarise, categorise, translate, even suggest drafts and information. AI is very good at assembling information into a plausible response. But customers are looking for judgement. Customers become uncomfortable when that judgement feels absent. Because that’s what someone wants from you…judgement. 

Judgement is knowing which policy doesn’t really apply here. Or recognising the emotional state of a real person on the other end of an email, social post or chat. Knowing when someone is angry because they’re mad. Or when someone is scared and upset. 

AI won’t provide better service, that’s up to you. 

Rude is rude, I get it, decades in customer service and social media has seen me answering the worst things people have to say. But there’s a reason someone is angry about a phone bill of tens of thousands. It’s not a number. It’s rent, it’s food, it’s their kids being warm tonight. Some conversations have those weights behind them, unspoken, but clear. 

People aren’t looking for perfect answers. They’re looking for a sign someone understood their question. 

AI text and replies aren’t broken because they’re AI. They’re broken because people can’t see value in them. An apology from a customer service agent is speaking on behalf of the company, you can feel seen and heard. But a generic “We’re sorry for X” is meaningless. 

 

A soft blue background with a laptop in the centre. From the laptop a collage style image of a womans head expands from the screen in a holographic nature. She looks as though she is in thought and her brain is visible. Connecting from the laptop are cords that lead to hands. Each hand holds a differnt item. A person, a brick work lightbulb, a world globe, office folders.

It’s never been about the technology.

It was meaningless when a looping recording on hold told you they were sorry for the wait, and it’s the same when a robot says it to someone today. There’s no actual apology, it’s just words, and that’s a risky game to play with customers. The notion that the words you say to them don’t mean anything. 

AI tools can play an incredible part in helping your teams with automation, simplifying things, even helping suggest replies and notes to build a reply from. But the judgement, needs to come from people. The human beings you’ve hired, trained and asked to form judgements. 

The fastest way to lose trust doesn’t have anything to do with AI at all. 
It’s when you let the tool convince customers that no one is actually listening.