I have been banging on about customer experience and basic customer service for a long time. Long before it was a LinkedIn trend, long before anyone was talking about NPS scores or customer success departments. The reason I keep coming back to it is simple. It has always been the most underestimated variable in sales. And right now, in 2026, it has become something far more significant than most businesses realise.
Your reputation is now informing thousands of sales decisions a day. And your company is getting qualified out before you even get an invitation to the party.
How We Got Here: Three Eras of Word of Mouth
To understand what is happening now you need to understand how fast this has moved and how dramatically the stakes have changed at each step.
Pre-internet, we used to talk about the 20/20 rule in sales. Give good customer service to twenty people and you earn one recommendation. Give bad customer service to one person and they tell twenty. Bad news travelled fast but it travelled on foot. A disgruntled customer might cost you a handful of referrals and a few lost prospects in their immediate network. Uncomfortable, but survivable. You could often repair the damage directly if you knew about it.
Then came Google. Bad news went viral. That one unhappy customer was now visible to hundreds of people, potentially thousands, forever. Indexed. Searchable. Sitting there quietly doing damage every time a prospect looked you up. You could not take it down. You could not outrun it. You could respond to it publicly and hope that managed the perception, but the review itself was permanent. A forever stone in your shoe.
Now we are in the AI era. Bad news is a silent killer. And this is where the conversation gets genuinely important for any business that depends on sales to survive.
The Way People Buy Has Fundamentally Changed
The way people buy is the other side of the coin to how you should be selling. If you are not selling to match how your buyers are now buying, you are not selling at all. You are just making noise in an empty room.
Buyers are now using AI as a gatekeeper, a procurement manager, a trusted adviser, a price comparison tool, a logistics coordinator, and most importantly a key influencer. The AI sits between your brand and your buyer and makes judgements about whether you are worth their time before any human contact is made.
Think about how the influencer dynamic has shifted over time. Twenty years ago you would ask a few mates their opinion of a product, form a rough view, and make a decision. Then we moved to Google, where you would search for reviews, spend twenty minutes reading them, and develop a considered position before contacting a supplier. Now, particularly among younger buyers and increasingly across all demographics, AI is the primary influencer. They do not read the reviews. They ask the AI what it thinks. And the AI answers based on everything it has absorbed from across the web.
The implications of that shift are enormous and most businesses are not accounting for them at all.
What AI Is Actually Doing With Your Reputation
This gets a little technical, but it is worth understanding because it changes what you need to do about it.
AI builds its recommendations based on what it finds across the internet. Google reviews, social media comments, Glassdoor staff reviews, product forums, Reddit threads, media mentions, industry directories, and the overall coherence of your digital presence. All of it feeds the model. The AI is forming an opinion of your brand based on the accumulated digital record of how you have treated customers, staff, partners, and the market over time.
This is increasingly being called AEO, or Answer Engine Optimisation. It is the next evolution beyond SEO, and the principle is straightforward even if the mechanics are complex. Where SEO was about getting your website to rank in Google search results, AEO is about getting your brand to be recommended by AI when a buyer asks a question. They are related but not the same thing, and a business can have strong SEO and terrible AEO if its customer experience record is poor. Now sales teams are working to influence that AI recommendation.
The critical difference between AEO and traditional reputation management is visibility. When someone left a bad Google review in 2015, you could see it. You could respond to it. You could work to understand what went wrong and address it. When AI absorbs a poor reputation signal and quietly removes you from its recommendations, you see nothing. No notification. No complaint. No opportunity to respond. The buyer simply does not know you exist as an option, and you have no idea the conversation happened.
The Skeleton Problem
If your logo is sitting on a pile of skeletons in your closet, you are losing the fight. Worse than that, you do not even know the battle happened.
Those skeletons are the customers who left without complaining. The staff who wrote a Glassdoor review on their way out the door. The forum thread where someone described their experience with your business in terms you would not want a prospect to read. The social media comment that got three likes and felt minor at the time. The product review on a site you did not know existed.
Individually, none of those things feel catastrophic. Collectively, they are shaping the AI’s understanding of your brand. And the AI is not giving you the benefit of the doubt. It is pattern matching across everything it has seen and making a judgement call about whether you belong on the shortlist.
The businesses that are winning in this environment are not necessarily the ones with the best product or the most sophisticated sales process. They are the ones with the cleanest reputational record, the most consistent customer experience, and the most coherent digital presence. Because those are the signals the AI is reading, and those signals determine whether you get recommended or quietly excluded.
What This Means for Your Sales Function
B2B lead generation and outbound sales have always depended on being able to get in front of the right people. Cold outreach, referrals, networking, paid channels, all of them are ways of creating the opportunity to have a conversation. But if the buyer’s first instinct after your rep makes contact is to ask an AI whether your company is worth talking to, and the AI says nothing or says something unflattering, the conversation is over before it started.
Your reputation is now the top of your sales funnel. It is the first filter every buyer applies, whether they know it or not. A strong reputation does not guarantee a sale but a weak one eliminates you from the running before you get a chance to make your case.
This connects directly to something I have been saying for years about customer service. It is not soft. It is not a nice to have. It is a commercial function with a direct line to revenue. Every customer experience that falls short of expectations is not just a service failure. It is a future sales problem. A review that goes up today is a recommendation that does not happen twelve months from now, from a buyer who never knew you existed.
The fix is not complicated in concept, even if it requires discipline in practice. Know your customer’s name. Know what problem they came to you with and whether you solved it. Follow up. Make the experience of doing business with you something worth recommending. Build the kind of relationship that generates a five star review not because you asked for one but because the customer genuinely felt well served.
What to Do About It
The first step is understanding where your reputation actually sits right now. Not where you think it sits. What does an AI actually say about your business when a prospective buyer asks? Run that test in an incognito window across ChatGPT, Gemini, Claude and Perplexity. Ask what the best options are in your category in your city. See whether you appear, and if you do, see how you are characterised. The result will tell you more about your AEO position than any internal review process will.
The second step is stop the haemorrhage. Addressing the underlying customer experience issues that are generating negative signals. This is not a marketing problem. It is an operational one. If the reviews are reflecting a consistent pattern of complaints, the answer is not to ask happy customers to drown them out. It is to fix what is generating them.
The third step is building a deliberate approach to sales enablement that accounts for the reputational layer. Your sales playbook should include guidance on how your team handles customer complaints, how they solicit feedback, and how they respond to reviews publicly. These are not peripheral activities. They are part of the sales function now.
The game has changed. The businesses that recognise that customer experience and sales are the same function, that reputation is pipeline, and that the AI is watching everything, are the ones that will be on the shortlist when the buyer’s query comes in.
The ones that do not will simply not be on the list. And they will never know why.
You can read more about how we think about sales strategy, B2B lead generation in Australia, and building sales functions that account for the current buying environment at www.outsold.com.au/blogs.
Jamie May is the Managing Director of Outsold, an Australian founder-led sales agency specialising in outsourced sales teams, fractional sales management, and B2B lead generation across Sydney, Melbourne, and nationally.
