Ranklisted

Linear vs ClickUp

Which does AI actually recommend? We asked ChatGPT, Claude and Gemini the questions real buyers ask about project management software.

Linear
0
/ 100 AI visibility
Mention rate: 0%
Share of voice: 0%
Avg rank:
Full Linear report →
ClickUp
40
/ 100 AI visibility
Mention rate: 60%
Share of voice: 15%
Avg rank: #3.8
Full ClickUp report →

The verdict

When buyers ask AI for recommendations, ClickUp is recommended more often — scoring 40/100 vs 0/100.

Engine by engine

0%
ChatGPT
80%
0%
Gemini
40%
Linear
ClickUp

Linear vs ClickUp: what the data says

When buyers ask AI assistants like ChatGPT, Claude and Gemini to recommend project management software, ClickUp is recommended more often than Linear — scoring 40/100 for AI visibility versus 0/100. ClickUp shows up in 60% of AI answers to real buyer questions; Linear shows up in 0%.

The gap is widest on ChatGPT, where ClickUp is clearly favoured: Linear is recommended 0% of the time and ClickUp 80%. Because each engine draws on different sources, a brand can lead on one and trail on another — which is why it pays to track all three rather than assume one result holds everywhere.

In practice, an AI assistant asked “What is the best project management software for small teams?” is far likely to put ClickUp on its shortlist. Linear is largely invisible in AI answers for project management software — and since these shortlists are increasingly where buying decisions start, that's a gap worth closing.

Frequently asked

Does AI recommend Linear or ClickUp more?

ClickUp. It scores 40/100 for AI visibility versus Linear's 0/100, based on how often ChatGPT, Claude and Gemini recommend each for project management software.

Which is more visible on ChatGPT — Linear or ClickUp?

On ChatGPT specifically, Linear is recommended 0% of the time and ClickUp 80% for project management software questions.

How is AI visibility measured?

Ranklisted runs the real questions buyers ask AI assistants about project management software across ChatGPT, Claude and Gemini, records whether each brand is recommended and where it ranks, and turns it into a 0–100 score. It's re-checked weekly.

Can Linear improve how often AI recommends it?

Yes. AI assistants recommend brands that are described consistently across third-party "best of" lists, reviews and comparison content. Building that presence raises the score over time — you can track the change weekly.

How does your brand compare?

Free AI visibility check — 15 seconds.