Where this data comes from
In September 2026, analysts Kyle Poyar and Leah Voje surveyed 300 GTM leaders at software companies — from early-stage startups to businesses with tens of millions in ARR. The result was the State of B2B GTM 2026 report, one of the most comprehensive benchmarks available today on how software companies are distributing their go-to-market efforts.
The data didn’t confirm what many expected. Some channels that seemed unstoppable are losing steam. Others that looked like experiments have become core. And there’s one central tension running through the entire report: the companies that are growing took a clear position. The ones that didn’t ended up stuck in the middle.
Founder-led sales: 44% keep it as the engine through their first million
The number stands out for its persistence: 44% of surveyed companies still rely on the founder to lead the sales process until they hit $1M ARR. This isn’t a sign they haven’t scaled — it’s a deliberate choice the data continues to validate.
The logic is straightforward: in early stages, the founder has something no sales rep can replicate. They know the product from the inside, can improvise in the demo, can speak to a CTO as a peer, and can commit to roadmap in real time. That combination works, and the data confirms it quarter after quarter.
What does change is the moment that engine runs out. Founder-led sales doesn’t scale indefinitely. Teams that use it as a long-term strategy —without building the sales process alongside it— end up with a bottleneck that costs months to recover from. The key is to use that period to document what works, not just to close deals.
5.5 channels in parallel: fragmentation as a signal, not a strategy
The average number of core channels used by surveyed companies is 5.5. That means most aren’t betting deeply on one or two channels — they’re spreading attention across nearly six fronts at once.
There are two ways to read that number. The optimistic read: smart diversification in a shifting environment, with multiple pipeline sources that complement each other. The honest read: dispersion. When no channel gets enough investment, no channel reaches its real potential.
The teams that grow consistently don’t have 5.5 channels that “work OK.” They have one or two channels where they’re exceptional, and they use the rest as a complement, not core. The difference isn’t in the number of channels — it’s in the depth of execution in each one. The 5.5 average describes how most teams operate, not how the winning ones do.
AEO jumps 11 points: the channel no one expected
The most surprising signal in the report is the rise of AEO — Answer Engine Optimization, the practice of optimizing presence in AI-powered answer engines like ChatGPT, Perplexity, and Google’s AI Overviews. In 2026, 39% of surveyed teams consider it a core channel. That’s an 11-point jump in twelve months.
The logic behind the number is direct: if your buyers are using AI to research vendors before any sales conversation, and your company doesn’t appear in those answers, the buyer journey starts without you. AEO doesn’t replace classic SEO — it adds a new layer where the content that matters isn’t what ranks on page one, but what becomes the engine’s direct answer.
The fact that 39% already see it as a core channel in September 2026 signals that B2B buyer behavior changed faster than most GTM teams anticipated. The teams that adopted it early now have a visibility advantage that can’t be built in a single quarter.
Saturated cold outreach and AI SDRs falling short
The two big disappointments in the report go together, and for related reasons.
Cold outreach —email, cold calls, automated sequences— remains the channel with the most accumulated investment in most B2B GTM stacks. And it’s also the one showing the clearest deterioration: reply rates in freefall, inboxes more saturated than ever, and buyers who have become immune to generic messages. Not because those messages aren’t reaching them — they’re reaching them more than ever. Because they’ve learned to ignore them.
The promise was that AI SDRs would solve that problem. The reality is they accelerated it. When any team can generate thousands of “personalized” messages per week at near-zero marginal cost, the noise increases without the signal increasing. The report’s data confirms what many teams are already living: AI SDRs didn’t meet expectations because the problem was never outreach speed. It was relevance.
More volume on a saturated channel produces diminishing returns, not growth. That’s the pattern the report captures with precision.
The middle trap: neither relationships nor AI
Here is the most important finding in the report, and the one with the most practical implications for any GTM team.
The teams that are growing in B2B GTM in 2026 took a clear position on one of two extremes:
Genuine network, active referrals, presence in specific communities, reputation built over time. Can’t be bought or scaled quickly — but when it works, it’s the channel with the highest conversion rate and lowest acquisition cost.
Real automation of parts of the sales process, real-time intelligence on buyer behavior, predictive scoring that prioritizes the right deals. This isn’t using five AI tools — it’s integrating AI deeply into commercial execution.
The problem isn’t choosing badly between the two. The problem is not choosing. Teams that invest a little in relationships and a little in AI end up without the critical mass for either to work well. The middle isn’t a balanced position — it’s where the most resources are spent with the least clear results.
This dynamic amplifies in markets with long sales cycles and buyers with high exposure to outreach: whoever lacks a clear differential advantage on either axis becomes invisible before the conversation even starts.
What this means for your team
The data in this report isn’t a universal diagnosis, but it is a useful map. If your current GTM stack looks like the average —5.5 channels, some automated outreach, AEO “in the backlog for next quarter”— the first move isn’t to add another channel.
It’s to answer one question: on which of the two extremes does it make more sense to bet for your market, your stage, and your team? Exceptional relationships or exceptional AI. Not both halfway. Choosing one axis doesn’t mean abandoning the other — it means giving one enough investment to become a real advantage.
Performy lives on the exceptional AI axis. Not as a tool that replaces the rep, but as the system that captures what happens in every conversation —what was said, what was committed to, what signal the buyer is sending— and turns that into actionable intelligence for the manager and the team. When cold outreach saturates and AI SDRs disappoint, the advantage isn’t in making more contacts: it’s in extracting more value from every real conversation that already happens. Performy runs that analysis automatically on 100% of calls, without depending on what the manager decided to review this week.