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Original ResearchDec 16, 20255 min read

AI Can't Pick a Winner in Project Management Software. Here's Why the Market Is Stuck.

We asked ChatGPT, Claude, Gemini, and Perplexity to recommend PM tools across 90 buying scenarios. 31 tools mentioned. 7 leaders. Zero clear winners.

Methodology
  • 31tools mentioned
  • 90unique buying scenarios
  • 4AI platforms (~95% market share)
Key Findings
  1. 131 tools mentioned across 360 AI responses - no clear market leader
  2. 2"Complex" appears 67 times as criticism of top-tier tools
  3. 3Trello praised for simplicity, yet called "too basic" 22 times
  4. 4Monday.com wins 62.5% of head-to-heads against Asana despite lower visibility
  5. 5Atlassian's two-brand strategy captures 58% combined mention share

A Market Without a Winner

We asked ChatGPT, Claude, Gemini, and Perplexity to recommend project management tools across 90 buying scenarios - everything from "best PM tool for marketing teams" to "Jira vs ClickUp for development."

360 responses later: no dominant player.

Project management software90 buying scenarios
Market analysis
Every leader has a weakness
7 leaders. Zero tools that win across all segments.
Jira89.5%
WinsAgile development
LosesNon-technical teams→ Trello, Asana
Trello68.2%
WinsSimple task management
LosesScaling teams→ Called 'too basic' 22×
Monday.com87.2%
WinsEase of use / onboarding
LosesAgile development→ Jira dominates
Asana50%
WinsWorkflow automation
LosesEase of use battles→ Monday.com (5-3 H2H)
ClickUp52.9%
WinsAll-in-one / value
LosesOnboarding→ 'Overwhelming' 21×
Wrike50%
WinsCross-dept collaboration
LosesQuick setup needs→ Steep learning curve 8×
SmartsheetWins enterprise reporting (75%)
Loses: teams wanting visual simplicity → Monday.com
AI doesn't pick favourites. It picks contexts.360 responses · ChatGPT · Claude · Gemini · Perplexity

The top seven tools - Jira, Asana, Monday.com, ClickUp, Trello, Wrike, and Smartsheet - are separated by just 11 percentage points in visibility. In email marketing, Mailchimp leads by 12 points. In CRM, Salesforce and HubSpot combine for 61%. Project management has no equivalent.

AI doesn't have a default answer here. It routes buyers based on context. And the context that matters most? Complexity tolerance.

The Word That Defines This Market

One word appeared 67 times across our analysis, attached to four different market leaders: complex.

  • Jira: "powerful, but complex"
  • ClickUp: "feature-rich, but overwhelming"
  • Wrike: "enterprise-grade, but steep learning curve"
  • Smartsheet: "flexible, but takes time to learn"

These aren't fringe tools. They're the products teams need at scale. And AI surfaces their friction automatically - across all four models, unprompted.

Project management software90 buying scenarios
The complexity paradox
67mentions of "complex" or "steep learning curve" across top tools
Too simpleThe gapNo clear winnerToo complex
Trello← Simple end
WinsSimple task management (68%)
22× called "too basic"
Teams outgrow it
JiraComplex end →
WinsAgile development (89%)
28× called "complex"
Non-technical teams struggle
Power gets criticised. Simplicity gets outgrown. The middle is unclaimed.31 tools mentioned · no clear winner · 360 responses · ChatGPT · Claude · Gemini · Perplexity

The Simplicity Trap

If complexity is the problem, simplicity should be the answer. Trello built its reputation on exactly that: visual Kanban boards, minimal learning curve, instant adoption.

It still wins 68% of "simple task management" queries. But Trello was also called "too basic" in 22 separate responses.

"Has Trello become too basic compared to modern alternatives? Yes, Trello is generally considered too basic..."

The baseline has shifted. Teams expect more from PM software in 2025 than they did in 2015. "Simple enough to adopt" is no longer "capable enough to keep."

The Battle for the Middle

Two tools are fighting for the space between "too simple" and "too complex": Asana and Monday.com.

They faced off in eight direct comparisons. Monday.com won five. The deciding factor wasn't features - both scored similarly on capability. It was onboarding friction.

The battle for the middle
Asana vs Monday.com
8 direct comparisons across our analysis
Runner-up
Asana
Head-to-head wins3/8
Positive sentiment84%
Wins on
Workflow automation & portfolio management
Winner
Monday.com
Head-to-head wins5/8
Positive sentiment87%
Wins on
Ease of use & faster setup
The deciding factor

"Monday.com is the better choice for most businesses as it's easier to use, quicker to set up, and has better task management, data, and collaboration tools than Asana."

Claude, comparing the two for 2025
The winner isn't decided by features. It's decided by first-week experience.

Monday.com carries an 87% positive sentiment rate - the highest of any leader. Asana wins on workflow automation and portfolio management. But AI routes most general queries to Monday.com first.

"For most teams, Monday.com will feel more intuitive out of the box. Asana has more depth for complex workflows, but the learning curve is steeper. If onboarding speed matters, Monday.com is the safer default."

The middle is contested. It's not won.

The Atlassian Escape

Atlassian isn't trying to solve the complexity-simplicity trade-off. They own both ends.

Jira dominates Agile software development with an 89.5% dominance score. Trello captures the simple end. Together: 58% of all mentions.

The portfolio play
Atlassian owns both ends
Why solve the paradox when you can own it?
58%Combined mention share
T
Trello
Simple end
Mention rate26%
Wins segmentSimple tasks
Entry point → adoption → growth needs
J
Jira
Complex end
Mention rate32%
Wins segmentAgile dev (89%)
Scale needs → power features → ecosystem
Internal upgrade path

"You can even use both: Trello for planning and overview, Jira Work Management for execution and dependencies, with integrations between them."

AI models recognise the relationship
The competitor comparison never happens.

Rather than building one tool that does everything, Atlassian built two that hand off to each other. The upgrade path is internal. The competitor comparison never happens.

The Gap No One Has Closed

The most consistent finding across 360 responses: the market wants something that doesn't exist yet.

Every tool powerful enough to handle enterprise complexity gets criticized for being hard to learn. Every tool simple enough for instant adoption gets criticized for lacking features teams eventually need.

ClickUp tried to bridge this with an "everything app" approach. It's praised for value. It's criticized just as often for overwhelm - a criticism-to-win ratio of 0.58, nearly matching Jira's.

The gap between "powerful enough" and "usable enough" remains open. AI keeps routing buyers around it rather than through it.

Whoever closes that gap probably wins the next decade of this market.

What This Tells Us

Fragmentation is the feature. Unlike CRM or email marketing, PM has no dominant structure. AI treats it as genuinely context-dependent.

Criticism travels with capability. Tools that handle scale carry the "complex" label. The question is whether that criticism matters more than the capability.

The middle is the prize. Asana and Monday.com are fighting for buyers who want power without pain. The winner won't be decided by features - it'll be decided by first-week experience.


If a buyer asks AI to compare your tool against a competitor, do you win your segment - or just show up in it? Run a free AI search audit to see what is holding your tool back in AI search.

Methodology

BrandViz.AI analyzed 360 responses from ChatGPT, Claude, Gemini, and Perplexity — the four platforms accounting for approximately 95% of AI chatbot usage — across 90 unique project management buying scenarios. Scenarios ranged from simple task management ("best PM tool for a five-person startup") to enterprise portfolio management ("Jira vs ClickUp for a 200-person engineering org"), covering Agile, Kanban, and hybrid methodologies. Head-to-head comparisons were run eight times per major pair to surface consistent patterns rather than single-query anomalies. Follow-up questions were generated from each AI's own responses, replicating how real buyers refine their search during active vendor evaluation. Sentiment classifications ("complex," "too basic," positive) were counted from verbatim response text, not inferred.

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David Andersen

Written by

David Andersen

Co-Founder & CTO

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Former Software Engineer at Google with deep expertise in Machine Learning and Data Science. Built predictive models and ML products across big tech, logistics, and insurance before co-founding BrandViz to decode how AI platforms perceive and recommend brands.

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