How gen AI is reshaping monday.com’s B2B buying funnel

Buyers are no longer waiting to be pulled through monday.com’s funnel by a homepage visit, a demo request, or a rep’s pitch. Harvard Business Review argued on June 12 that generative AI is moving discovery, evaluation, and recommendation into AI-mediated environments that companies do not control, which means the shortlist can now form before a buyer ever reaches vendor-owned channels. For monday.com, that shifts the job from simply persuading people to also persuading the systems that summarize, compare, and recommend software.

AI is entering the buying journey itself

The most important change is not that AI can answer questions faster. It is that AI systems are becoming part of the buying process, including the point where a buyer asks what tools should be considered in the first place. In the healthcare example discussed by Harvard Business Review, one product can surface more prominently than another based on richer evidence, stronger references, or better context, which is a useful stand-in for how software is now being evaluated across crowded B2B categories.

That matters in a work-OS market where buyers are often comparing dozens of similar tools. If an AI assistant is shaping what lands on the shortlist, then the vendor’s job is no longer just to advertise. It has to be understandable, provable, and easy to summarize in a way that does not distort the product’s value.

Why monday.com is especially exposed to this shift

monday.com has the scale to feel this change quickly. Its investor relations page says more than 250,000 customers worldwide use the platform, and its first-quarter 2026 revenue reached $351.3 million, up 24% year over year. The company also reported record GAAP and non-GAAP operating income, along with record net adds of customers with more than $500,000 in ARR, which shows the business is moving upmarket even as the buying journey becomes less company-controlled.

The momentum from fiscal 2025 makes the stakes even clearer. monday.com said fourth-quarter revenue was $333.9 million, up 25% year over year, and that customers with more than $50,000 in ARR represented 41% of total ARR. It also said monday vibe became the fastest product in company history to surpass $1 million in ARR. Those figures are more than investor markers. They show a platform already large enough that any shift in discovery behavior can affect pipeline, product positioning, and what kinds of proof sales teams need to close deals.

The company is already rebuilding around AI

monday.com’s product cadence suggests it sees the same shift. On July 10, 2025, it introduced monday magic, monday vibe, and monday sidekick. By early 2026, the company said those capabilities were fully available and added monday agents, and on March 11, 2026, it announced infrastructure that lets AI agents sign up, authenticate, and operate inside the platform. On May 6, 2026, it said it was making the biggest change in its history and repositioning itself as an AI Work Platform.

That repositioning matters internally because it raises the bar for every team. Engineers have to make sure the product’s capabilities are not just impressive in demos but exposed in a way that can be described accurately by other systems. Product managers need cleaner feature taxonomy, tighter naming, and clearer use-case framing so the platform does not look fragmented when it is summarized by AI. Sales teams need sharper proof points and more repeatable stories, because a rep is now often competing with an AI-generated comparison before the first call even happens.

monday.com’s own product and support materials point in that direction, emphasizing context-aware AI connected to boards, docs, workflows, and apps, plus AI agents that can act inside the platform. That is the right direction for a company trying to be legible to both people and machines. The more clearly the platform can explain what it does, how it works, and where it fits, the more likely it is to surface in AI-driven research.

The new funnel rewards evidence, not just messaging

monday.com’s marketing appears to be adapting to this reality. Its alternatives page says it analyzed more than 6,000 G2 reviews, and its homepage includes AI agents such as a vendor researcher that compares every quote. That is a notable signal: the company is not just selling software for work management, it is also presenting software that helps buyers evaluate software. In a category where purchasing decisions are increasingly mediated by AI, that kind of self-awareness can become a competitive advantage.

For workplace software leaders, the lesson is blunt. Product truth has to be easy to extract, not buried under jargon, vague claims, or overdesigned marketing pages. Comparison pages, third-party validation, structured use cases, and documentation that uses consistent language all matter more when a machine is doing the first-pass reading. If the evidence is thin or inconsistent, the product may not disappear, but it may get downgraded when an assistant builds the shortlist.

What the broader market says about buyer behavior

The external data points reinforce how quickly this is changing. Wynter’s 2026 survey of 101 mid-market B2B SaaS CMOs found that 84% now use AI or LLMs such as ChatGPT, Claude, or Perplexity for vendor discovery, up from 24% in 2025 and zero in 2024. G2’s March 2026 survey of 1,076 B2B software buyers and decision-makers found that half of buyers now start research with AI chatbots.

Taken together, those numbers explain why monday.com’s AI shift is not just a product story. It is a go-to-market reset. The front door to the category is moving, and the companies most likely to win are the ones that can be read cleanly by humans, indexed clearly by AI, and supported by enough real evidence to survive comparison. For monday.com, that means the next great buying journey may begin long before a buyer reaches monday.com itself.