ClickUp’s G2 Winter 2026 Performance Signals The Rise of a Converged, AI-Native System of Work

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As I look back on this year, I’m proud of the lessons that came from the misses, but I’m downright overjoyed to celebrate the moments when things just clicked.
When we earned customer praise the hard way: one customer conversation, one product decision, one campaign, and one support ticket at a time.
That’s what our G2 Winter 2026 Performance signals to us: Our customers are happy, and they’re not shy to say so.
Based on the latest G2 report, ClickUp now appears in 1,539 category reports on G2; that’s 300+ more than any other product on the platform!
For a work management product, even showing up in a few hundred reports would be notable. Crossing the 1,500 mark is something else entirely.
When teams are testing the same platform across project management, knowledge bases, calendars, collaboration, and more—and consistently ranking it in the Top 3 or Leader tier in 526 of those evaluations—it signals a shift in what “good” looks like.
The results point to momentum that was already building. ClickUp 4.0 accelerates that trajectory by strengthening the foundation behind it.
Here’s a breakdown of what the Winter 2026 data signals about modern work and how it connects to where ClickUp is headed.
Modern work no longer fits neatly into single tool categories.
Most teams still juggle one tool for chat, another for meetings, and a third place where the work itself actually lives. That fragmentation, what we call work sprawl, costs billions in lost productivity as context gets lost between systems.
However, as buyers become more aware of this friction and its toll, the way they evaluate software changes at a fundamental level. In practice, that means category breadth starts to matter. But historically, breadth comes with a tradeoff.
Most products that appear across many categories don’t lead in those categories. They show up often, but they rarely rank highly. Depth usually degrades as coverage expands.
The Winter 2026 G2 data shows a different pattern.
ClickUp didn’t just appear broadly. It maintained leadership while doing so:
Individually, these rankings matter. Taken together, they point to something less common: breadth without degradation in ranking.
Users are testing tools across multiple, interconnected jobs and closely monitoring them to see whether they still perform as effectively when priorities collide and dependencies stack up.
Holding strong rankings in that environment is less about coverage. It comes down to whether the system can keep up with real work in motion. This brings us to convergence.
The categories where buyers encounter ClickUp map closely to how work actually unfolds.
Planning leads to execution. Execution creates coordination needs. Coordination generates decisions. Decisions need to be captured, shared, and revisited as needed. And all of it changes as priorities and schedules shift.
That flow only works when context moves with the work.
ClickUp’s approach treats these surfaces as parts of a single system. Our powerful primitives are designed to keep tasks, priorities, and outcomes connected as work evolves.
| Work area | Representative G2 categories | Winter 2026 signal |
| Plan & prioritize | Product management, project & portfolio management | #1 |
| Execute & deliver | Project management, task management, workflow management | #1 |
| Coordinate & schedule | Event planning, marketing calendar, calendar | #1–3 |
| Capture & share context | Knowledge base, document creation, note-taking | #2 |
| Visualize & align | Collaborative whiteboards, unified workspaces | #2–3 |
| Communicate | Business instant messaging | #7 |
Most teams already have AI that can summarize meetings or answer questions. The more challenging problem is turning those moments of understanding into tangible progress.
Decisions stall in follow-ups, handoffs, and coordination gaps, especially when work spans multiple tools. Converged AI platforms change that dynamic.
Since ClickUp Brain, the built-in AI assistant, maintains shared context across tasks, documents, meetings, calendars, and chat, your intelligence operates seamlessly within the workflow. This means no more toggling between tabs to ask a question to AI or generate images.
Teams get one multipurpose AI assistant that can do it all and more within a unified workspace. Here’s how your workflow changes when intelligence is connected end-to-end. 👇🏼
The growing preference for contextual AI is increasingly reflected in how buyers are evaluating ClickUp on G2.
In the Winter 2026 reports, ClickUp shows up across a growing set of AI-focused categories, including:
These are not categories that ClickUp historically competed in. Their appearance signals that buyers are now testing ClickUp as a platform where intelligence can operate across the full lifecycle of work.
This is also where offerings like ClickUp’s Super Agents stand out. Operating inside a converged workspace, these ambient AI tools don’t rely on brittle integrations or manual prompts to keep work moving forward.

For example, when a meeting discussion references an overdue dependency, a project management Super Agent can identify the blocking task, notify the owner, suggest timeline adjustments to dependent work, and update stakeholders automatically.
The intelligence and the execution happen in the same system, using the same shared context. This only works when AI has access to the full picture. In fragmented toolchains, agents can observe work, but they can’t act on it reliably.
The growing presence of ClickUp in AI-specific categories reflects this shift as a platform where intelligence can participate directly in how work gets done.
When work lives across separate tools, each system can optimize for a single interaction pattern. Task tools optimize for lists. Docs optimize for real-time editing. Chat tools optimize for message flow.
Once those surfaces converge into a single system, that model breaks.
A converged workspace has to support fundamentally different behaviors at the same time: scanning thousands of tasks, editing documents, updating schedules, running automations, and invoking AI, all without dropping context.
At that point, performance becomes a question of solid infrastructure, rather than individual features. That means caring about:
ClickUp 4.0 is our response to convergence. We’ve focused on rebuilding and finetuning the underlying primitives that everything else depends on. It shows up across the platform, with updates like:
These are conscious product development choices we’ve made while considering every single customer request that came our way. Because a converged workspace should ultimately support how the system models work, share context, and scale.
What’s showing up in the G2 Winter 2026 results feels like a real inflection point to me.
I’ve spent a lot of time talking with teams over the past few years, and the pattern is consistent.
People aren’t looking for consolidation because it sounds efficient. For many, a centralized workspace stands for relief, simply because fragmentation has made everyday work harder than it should be. Coordination drags, and execution slows as soon as teams grow past a certain size. That doesn’t scale, and teams feel it every day.
When I look at ClickUp’s breadth across G2 categories, I don’t see a race to cover more ground. We are instead looking at building a system that can actually carry the weight of real work, end-to-end, without breaking along the seams.
Faster systems matter. Shared context matters. Intelligence matters. But only if all of it shows up where work actually happens and helps move it forward.
Zooming out, the next 18 months will clarify whether convergence becomes the dominant pattern or remains a platform strategy among several viable approaches. Based on G2 Winter 2026 data, I’d say the direction is already set!
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