Your pipeline looked healthy in January, and now deals are stalling for reasons nobody can name. I've had a run of conversations this year with clients and prospects who describe the same pattern, and the finger-pointing starts within about a minute: marketing isn't differentiating us, the new BD hire wasn't trained well, our competitors got louder. Almost nobody names the variable that's actually moving, which is whether the buyer believed anything they read before they ever got on a call.
Sarah Shepard and I spent this episode on that variable. You'll get the three-part filter she runs before she'll spend a dollar with a vendor, including the one thing she deliberately dropped from it, along with a homework assignment you can hand your revenue leader this week to test whether the slide in your close rate says more about your credibility than your funnel.
This post is based on Episode 72 of Revenue Rewired | Why "I Think This Was Written by AI" Is the New Sales Objection.
If you'd rather listen than read, find the full episode on Apple Podcasts, YouTube, Spotify, or Amazon. It's worth your time.
A couple of weeks back, Sarah interviewed Susan Baier about her research into what a thousand buyers actually think of agencies, and one finding has been rattling around in her head since. Buyers aren't arriving neutral anymore. Plenty of them arrive at negative, which is a very different starting line than "I don't know you yet."
Sarah described flying to Seattle recently and getting the gate agent speech about checking her carry-on. She and her friend went along with it, boarded, and found the overhead bins half empty on a completely full flight. Coming home, neither of them believed a word of it, so they didn't comply. The mechanic there is worth sitting with, because the second refusal had nothing to do with a bag. It came from one small broken promise that had already been filed away.
My own instinct runs the other direction. Growing up, my grandmother told me to try everything twice, and I've given a lot of businesses a second shot because of her. But I watch family members write off an entire airline or hotel chain over a single bad night, and when I recommend that brand later I get an immediate no. Sarah's word for the pattern is avalanche, and it beats addition as a description, because these letdowns compound rather than stack.
Copilot now attaches a watermark to AI-generated audio and visuals. LinkedIn ran something similar for a while. Those labels are useful and well-intentioned, and they're also teaching an entire population of buyers to interrogate everything they scroll past.
Sarah's mother, who can barely text, has started asking whether the food photos and highway videos in her feed are real. Sarah watched Expedia and Booking run gorgeous destination ads with a line at the bottom saying the images were created with AI, which means the vacation being sold doesn't look like that. A woman who used to take a picture at face value now runs verification on her own feed, and she made that shift in under two years.
The same suspicion has landed squarely in B2B. A few months back I reached out to someone I'd met on LinkedIn, spent real time on her company first, and her reply opened with "I know AI wrote this, but I'm intrigued." Every word of that message was mine. Getting accused of automation for doing the work well is a strange place for sales enablement to end up, and it isn't isolated. Candidates are telling us they don't trust interview processes where the interviewer is a bot, and a finance employee wired money to a deepfake of his own executive. When the baseline assumption is synthetic, your good work reads as suspicious right alongside everyone's bad work.
Sarah buys a lot on behalf of the agency, from software to partners, and she's built a filter out of three Ps: price, process, and promises. She wants cost transparency upfront, because getting nickel-and-dimed after the contract is signed is where she checks out. If you can't articulate how a customer moves from stage to stage inside your company, she assumes nobody there knows either. Then it comes down to whether what you promised is what showed up, and that includes the boring version, like a package that sat in her mailbox for ten days with zero status updates.
I pushed her on why "people" didn't make the list, since she invests real time in relationships with everyone from our HR firm to our attorney. She answered that she's stopped attaching to individuals, because the person selling to her is rarely the person servicing her, and turnover is now frequent enough to plan around. She needs evidence that a company's process survives a handoff so she doesn't feel the gap when someone leaves. That's harder to build than a good rep, and it's worth considerably more.
Repair belongs in this conversation too. Sarah pointed out that people read the negative comments on a brand's social posts specifically to see how the company answers, and a victim-blaming reply tells them exactly how their own problem would get handled. Some customers really are unreasonable about what they expected. Answering them like they didn't matter is still a decision your next buyer is watching you make.
Here's the homework I'd hand any revenue leader listening. Pull your pipeline year over year, and if the conversion pattern has shifted by any real magnitude, ask the uncomfortable question before you reorganize the team. Sales reps get fired up about eight open opportunities, start imagining what closing them would mean, and when almost none land, the story becomes "that prospect wasn't being straight with me." Something around trust is usually sitting underneath that story.
I used to assume this mattered mainly on larger ticket items, where a consulting engagement carries obvious risk. I'm seeing the same drag now on smaller transactional buys, down at five hundred a month instead of five thousand. Buyers have gotten sharp about total cost, and they know a hundred-dollar tool carries migration, onboarding, training, and support behind it. Every one of those unknowns is a place for doubt to live.
Sarah's measurement advice is practical. Trust shows up in marketing KPIs if you know where to look, so watch abandonment rates and stretches of heavy activity that produce nothing, then go find the specific cliff people are falling off. Send a friend through the whole purchase experience as a secret shopper and ask whether they'd trust you cold. Her framing for the whole thing is a trust bank you keep funding, so when someone eventually makes a withdrawal, the account doesn't overdraw.
Q: How do I know whether my conversion problem is trust or just a soft market?
A: Compare this year's pipeline against prior years and look at where deals die rather than how many. Credibility problems tend to show up as heavy top-of-funnel activity with unexplained stalls, ghosting after proposals, and high abandonment on any page where you ask for something.
Q: Should I put pricing on my website?
A: Sarah's position is that cost transparency is one of the fastest ways to earn her trust, and vagueness costs you more than a competitor knowing your rates. If your pricing really does vary by project, publish the ranges and the variables that move them.
Q: People keep telling me my outreach reads like AI. What now?
A: Cut anything that reads like a template, including the fifteen-problems-we-found format and the magic wand promise to fix everything on a single call. Specificity that only a human researcher would have is the tell that separates you.
Q: Does using AI in my sales process hurt trust?
A: Using it to research faster is a multiplier, and I've taken my own prep from roughly forty-five minutes down to ten. Replacing the human at the moment of connection is where you get punished, because an AI system can't earn credibility the way a person asking smart questions can.
Q: What's the move with a client who's already been burned by another agency?
A: Assume the wall is up before they admit it, and expect that they won't disclose the bad history until you've earned a little goodwill. Patience through that phase pays back, because the lifetime value of a relationship you repaired tends to run well past the ones that started easy.
StringCan works with mid-market teams whose marketing and sales motions have drifted apart, and this is usually where we start. We audit the touchpoints a buyer actually encounters before they'll talk to anyone, from pricing clarity to the handoff between marketing and business development, and we look for the specific places where doubt gets in.
Listen to Episode 72 of Revenue Rewired, then walk your own buying process as a stranger would. If what you find there makes you uncomfortable, let's talk about it.