Running a great GTM motion is like running a relay race.
Sales and marketing are running toward the same finish line: pipeline that actually closes. And what makes a relay work isn't usually raw speed in any one runner — it's a clean handoff, at full speed.
But where that handoff happens in a GTM motion keeps changing.
Marketing's leg (getting found) used to be an easy spot to win in the race against competitors. But AI made that stage fast and easy for everyone, so the hard part moved further downstream: For the first time, evaluation has overtaken research as the longest stage of the buying journey. Discovery got easier. Buying has gotten more complicated.
Alex London
Evaluation is now where the baton sometimes hits the ground. Sales inherits a buyer who's already shortlisted us — but then watches them face a security review, a budget approval, and a CFO who vetoes deals the committee already approved. The deal isn't won when one leader says yes; it's won when they can defend the number long after we’ve left the table. Only a clean handoff gets us there.
Here are some of the most important takeaways from The Evaluation Maze: 2026 Buyer Behavior Report, plus our advice on how to adapt — so your GTM teams win no matter how buyer behavior continues to shift.
Eric GilpinEvaluation is now the longest stage of the buying journey for 40% of buyers, ahead of research (36%) and decision (22%). Once a buyer has a shortlist, IT security review is the biggest source of delay (39%), then budget approval (32%) — and for enterprise buyers, 50% name security review as their top bottleneck. Champions are fighting a second front, too: concerns about internal resistance to AI adoption nearly doubled this year (16% to 29%).
My advice for CMOs: “Your pipeline number now hinges on a stage marketing doesn't traditionally own. Lead with product benefits and performance, not the AI story. Champions can get buy-in for a faster workflow or a measurable cost reduction. They can't always get buy-in for a model.”
My advice for sales leaders: Buyers need to trust the AI before they can sell it internally, and that internal sell is getting harder. Pushback on AI adoption nearly doubled this year. So arm your champion with security and compliance proof before they ask. It's the biggest source of delay in the deal. And it only works if your rep gets it into their hands early — not after the review's already stalled.
More than 80% of buyers sourced software recommendations from an AI chatbot in the last two years. The top two sources shaping shortlists now work in tandem: review sites (38%) and AI chatbots (37%). AI builds the list, peer proof validates it.
My advice for CMOs: This is the AEO reckoning you’ve been budgeting for: If the model can’t explain why you belong on the shortlist, the buyer never gets the chance to either. So move spend from top-of-funnel discovery to bottom-of-funnel evaluation channels. Google-sponsored search still has a role, but buyers make their final calls on review sites and Reddit. Structure content for comparison, and connect your answer engine and review strategies so the same proof feeds both.
My advice for sales leaders: The shortlist is set before your reps get a call. Point outbound at accounts already showing evaluation intent, and make “how did you find us, and who else are you looking at?” a required discovery question — every rep should know their shortlist position before they build a deal strategy. Then feed what reps learn back to marketing: The accounts where you’re never on the shortlist are a coverage gap that has to be closed upstream, not out-hustled at the bottom of the funnel.
The old playbook ran on fixed seats and annual commitments; AI is dismantling that. Preference for outcome-based pricing more than doubled in a year (11% to 23%). Plus, 49% of buyers have already been offered a variable-cost option, and 52% said variable pricing improved their view of the vendor.
My advice for CMOs: Pricing expectations get set long before the quote — so marketing and sales need one story, from the first touch to the signed contract. Position pricing and packaging early: lead with value, not structure, and prove the account-level outcomes that defend a premium when the market’s default is skepticism. And as pricing shifts toward consumption and outcomes, average revenue per account (ARPA) — not ARR — becomes the real signal of whether customers are expanding. Build the value narrative around it from the first touch, not just the renewal.
My advice for sales leaders: Find the source of the budget early — what’s being cut or consolidated to fund the purchase — and build the case around that tradeoff. Sell into the consolidation decision, not around it: Show whether you replace point solutions, reduce total cost, or become too embedded in the workflow to remove. And carry the same pricing-story marketing set at the top of the funnel — a buyer who hears “value” upfront and “seat count” at the table walks away. Variable pricing grows revenue per account — but only if the buyer trusts the number before finance calls it out."
Finance involvement in software decisions jumped from 31% to 46% in a single year, and 49% of buyers say their CFO vetoed an already-approved purchase in the last 12 months. The pace of AI innovation is compounding the pressure: 70% of B2B software buyers say it’s pushing them toward shorter contracts, and 29% now want terms under 12 months. But that doesn’t mean finance is anti-software.
My advice for CMOs: A glowing testimonial won’t survive a finance review, but hard numbers might. So make your customer proof quantified — case studies and ROI content built on real payback, cost savings, and measurable outcomes, not just satisfaction. It’s proof that holds up when finance runs the numbers.
My advice for sales leaders: A champion can love the product and still watch the case die in finance, and that veto tanks your forecast. So build for the CFO from the first conversation, and arm the champion — rarely the person who signs off on the spend — with a package that survives a finance review: ROI models, a multi-year total cost of ownership (TCO) scenario, security and compliance documentation, and the assumptions behind the numbers. Then offer contract flexibility upfront.
Over 60% of buyers use or plan to use AI agents in buying, and the top use cases are all evaluation tasks. But trust has a ceiling — only 9% would let an agent execute a purchase.
My advice for CMOs: Machine-readiness is the next chapter of the discoverability problem you own. Being found isn't enough — you have to be parseable: structured, comparable data an agent can use. The goal shifts from discoverable to actionable.
My advice for sales leaders: The near-term revenue comes from low-stakes agent motions — renewals, add-ons, approved-vendor buys — that map straight onto your expansion and NRR targets. Be the path of least resistance in those workflows now. Trust is how you win — earn it on the low-stakes stuff before you ask for the big one.
Buyers don’t need another pitch — they need proof they can defend. The shortlist is sticky, but that doesn’t guarantee you’re going to win the deal. What matters is whether you can survive scrutiny, budget, and a CFO who can undo it all. Winning takes two moves: First, structure social proof so a machine can read it, and you show up from the first search. Then, once you’re on the shortlist, give your champion evidence they can carry into a room without you.
Read the 2026
G2 Buyer Behavior Report
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