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GM to the Top 1% ☕
If you have spent any time in seller communities this year, you have felt the mood. Reps describing the worst AE job market they can remember. Long threads asking whether something fundamental has broken in how software gets sold. Quota attainment sitting around 43.5% and nobody sounding surprised by it.
I am not going to tell you that mood is wrong. It is measuring something real.
But I spent this week reading buyer-side research next to it, and the two data sets tell a different story together than either tells alone.
💡 THE MARKET IS REPRICING CLAIMS, NOT PEOPLE
Start with the number that should be getting more attention than it is. Around 94% of buyers fact-check what AI tells them at least some of the time. Even as AI drives the majority of evaluation before you ever get a call, demos, trials, prior experience, and reviews remain what actually decides the deal.
Now hold that against the doom. If AI were genuinely replacing the seller's function, verification would be falling. Instead it is nearly universal. Buyers have gotten faster at gathering claims and more suspicious of all of them at the same time, which is exactly what you would expect when the cost of producing a confident-sounding claim drops to zero.
That is the repricing actually underway. Not sellers becoming worthless. Assertions becoming worthless. Anything you can say that a model could also say, at volume, for free, has lost its price. That covers most of what a traditional pitch was made of, which is why it feels like the ground moved.
What has gotten more valuable in the same move is anything that survives verification. A reference call with a customer in their industry. A number from a deployment you personally watched go badly and then go well. A trial they run themselves. An admission of where you are genuinely weaker than the alternative, which no vendor's marketing will ever generate.
The seller who wins the next two years is not the one with the best story. It is the one whose story holds up when the buyer checks, because the buyer is definitely checking.
🔧 THE VERIFIABILITY AUDIT
Four questions to run against your own pitch this weekend. Twenty minutes, no tools required.
1. Which of my claims could a competitor make word for word? Cross every one of those out. That is not your pitch, that is your category's pitch, and the buyer has already read it.
2. What can they check without me in the room? References, documentation, a public case study, a self-serve trial. Count them. If the number is under three, your deals depend on trust you have not earned yet.
3. Where am I honestly the weaker choice? Write it down and rehearse saying it plainly. Volunteering a real weakness is the fastest credibility transfer available to a human being and it is structurally unavailable to an AI pitch.
4. What do I know that is not written down anywhere? The failed implementation, the procurement trap, the integration that always takes three weeks longer. That is your actual inventory. Everything else is retrievable.
🎯 THIS WEEK'S HOMEWORK
Take the three strongest claims in your standard pitch and, for each one, find the specific artifact a skeptical buyer could use to verify it without talking to you. If a claim has no artifact, either build one this month or stop leading with it. Going into Q4 with three verifiable claims beats going in with ten unverifiable ones.
❓ QUESTION OF THE DAY
If your buyer checked every single thing you said this week, what would they find?
Reply with the honest answer, not the confident one.
See you tomorrow.
Edward
Founder, Morning Sales
P.S. Most of the verifiability audit is asking yourself harder questions than you want to. The 500 AI Sales Prompts manual has the self-audit and proof-building prompts I use to pressure test a pitch before a buyer does it for me. 27 dollars, and this is a good weekend for it: https://store.edwardgorbis.com