Project Management Software: AI Market Discovery Index
Tracking how AI platforms recommend project management software. This public AI Market Discovery Index is updated monthly since July 2026.

On this page
- 01Benchmark Summary
- 02Current Benchmark at a Glance
- 03Research Scope and Qualification
- 04Current Brand Standings
- 05How to Read the Standings
- 06Recommendation Coverage Movement
- 07Largest Increase: Jira Service Management
- 08Largest Decline: Notion
- 09Additional Significant Declines: Asana and monday.com
- 10Category Leader: Asana
- 11Recommendation Placement Snapshot
- 12Buyer-Intent Distribution
Benchmark Summary
Asana led the Project Management Software category in August 2026 with valid recommendation coverage of 67.7%, down from 72.7% in July 2026. The gap to the next brand, ClickUp, narrowed to 0.7 percentage points in August 2026, with ClickUp at 67.0%. monday.com followed at 65.6%.
The largest coverage increase belonged to Jira Service Management, which rose to 11.1% in August 2026 from 3.8% in July 2026. The largest coverage decline was posted by Notion, falling 7.7 points to 40.0%. Three brands declined beyond normal month-to-month variation this month (Asana, monday.com, Notion), one rose beyond it (Jira Service Management), and six moved within normal variation.
The benchmark began with 800 prompt-surface observations in each month and produced 640 qualified observations in August 2026 after qualification.
AI recommendation trend
valid recommendation coverage, Jul 2026 to Aug 2026
- Asana-5.0% · beyond normal variationJul 202672.7%Aug 202667.7%
- ClickUp-4.0%Jul 202671.0%Aug 202667.0%
- monday.com-6.2% · beyond normal variationJul 202671.8%Aug 202665.6%
- Trello-3.2%Jul 202666.0%Aug 202662.8%
- Smartsheet-3.4%Jul 202649.0%Aug 202645.6%
- Wrike-2.0%Jul 202645.6%Aug 202643.6%
- Notion-7.7% · beyond normal variationJul 202647.7%Aug 202640.0%
- Basecamp-1.7%Jul 202613.7%Aug 202612.0%
- Jira Service Management+7.3% · beyond normal variationJul 20263.8%Aug 202611.1%
- Microsoft SharePoint+0.2%Jul 20260.4%Aug 20260.6%
Current Benchmark at a Glance
Measure | Jul 2026 | Aug 2026 | Movement |
|---|---|---|---|
Qualified benchmark observations | 677 | 640 | Down 37 |
Tracked brands | 10 | 10 | No change |
Qualified surface breadth | 6 | 6 | No change |
Recommendation-shaped answer share | 33.2% | 39.1% | Up 5.9 points |
Valid recommendation shortlist share | 74.9% | 68.8% | Down 6.1 points |
Leader by valid recommendation coverage | Asana | Asana | No change |
Qualified surface breadth counts the six canonical AI surface families (ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, AI Mode) with at least one qualified observation. Keyword variants roll up into their parent family rather than counting as separate surfaces.
For the strategic interpretation of this benchmark, read CiteWorks Studio's analysis of How AI Search Is Recommending Project Management Software
Research Scope and Qualification
Research stage | Jul 2026 | Aug 2026 | What it represents |
|---|---|---|---|
Source prompt-surface observations | 800 | 800 | Raw collection across AI/search surfaces |
Unique questions | 443 | 496 | Distinct questions posed |
Brand / competitor mentions | 800 | 800 | Prompts that mention a brand/competitor |
Relevant observations | 780 | 785 | On-topic for the vertical |
Irrelevant observations | 20 | 15 | Off-topic for the vertical |
Qualified benchmark observations | 677 | 640 | Public denominator |
Brand-level percentages use the qualified observations as the public denominator, not the raw collection. AI Market Discovery Methodology
Current Brand Standings
Brand | Presence rate | Valid recommendation coverage | Top-three rate | Rank-one rate | Net sentiment |
|---|---|---|---|---|---|
Asana | 98.1% | 67.7% | 51.7% | 18.3% | 0.86 |
ClickUp | 93.4% | 67.0% | 46.2% | 9.2% | 0.88 |
monday.com | 94.8% | 65.6% | 46.7% | 19.8% | 0.86 |
Trello | 91.6% | 62.8% | 16.6% | 7.3% | 0.84 |
Smartsheet | 64.2% | 45.6% | 0.6% | 0.2% | 0.86 |
Wrike | 60.9% | 43.6% | 5.0% | 2.2% | 0.89 |
Notion | 59.1% | 40.0% | 3.4% | 0.9% | 0.85 |
Basecamp | 20.8% | 12.0% | 1.2% | 0.2% | 0.79 |
Jira Service Management | 13.4% | 11.1% | 1.7% | 0.2% | 0.99 |
Microsoft SharePoint | 2.0% | 0.6% | 0.3% | 0.0% | 0.54 |
How to Read the Standings
- Presence rate: share of qualified observations where the brand is mentioned at all.
- Valid recommendation coverage: share of qualified observations where the brand appears in a recommendation context that can be evaluated.
- Top-three rate: share of qualified observations where the brand is recommended in one of the top three positions.
- Rank-one rate: share of qualified observations where the brand is recommended first.
- Net sentiment: positive mentions minus negative mentions divided by total mentions (neutral excluded).
Want the full Authority Index
The paid deep-dive adds competitor threat profiles, the gap matrix, citation failure map, platform-by-platform recovery roadmap, and client-specific economic modeling.
For formulas and denominator rules, see AI Market Discovery Metric Definitions.
Recommendation Coverage Movement
Brand | Jul 2026 | Aug 2026 | Movement since baseline |
|---|---|---|---|
Asana | 72.7% | 67.7% | Down 5.0 points |
Basecamp | 13.7% | 12.0% | Down 1.7 points |
ClickUp | 71.0% | 67.0% | Down 4.0 points |
Jira Service Management | 3.8% | 11.1% | Up 7.3 points |
Microsoft SharePoint | 0.4% | 0.6% | Up 0.2 points |
monday.com | 71.8% | 65.6% | Down 6.2 points |
Notion | 47.7% | 40.0% | Down 7.7 points |
Smartsheet | 49.0% | 45.6% | Down 3.4 points |
Trello | 66.0% | 62.8% | Down 3.2 points |
Wrike | 45.6% | 43.6% | Down 2.0 points |
Largest Increase: Jira Service Management
Jira Service Management rose by 7.3 percentage points to 11.1% valid recommendation coverage, moving beyond normal variation. Raw mention presence also climbed to 13.4% in August 2026 from 4.9% in July 2026. Top-three rate moved up to 1.7% from 0.9% over the same period. Net sentiment moved from 1.0 in July 2026 to 0.99 in August 2026.
Largest Decline: Notion
Notion fell 7.7 points to 40.0% valid recommendation coverage, a decline beyond normal variation. Presence rate moved down to 59.1% from 62.9%, and top-three rate declined to 3.4% from 4.9%. Net sentiment moved from 0.88 in July 2026 to 0.85 in August 2026.
Additional Significant Declines: Asana and monday.com
Asana and monday.com both declined beyond normal variation. Asana's presence held steady at 98.1% while its coverage fell 5.0 points, suggesting weakening recommendation conversion. Asana fell to 67.7% in August 2026 from 72.7% in July 2026, while its top-three rate rose to 51.7% from 46.8%. monday.com declined to 65.6% from 71.8%, a drop of 6.2 points, with presence at 94.8% and top-three rate up to 46.7% from 41.6%.
Category Leader: Asana
Asana remained the category leader at 67.7% valid recommendation coverage in August 2026, though its lead narrowed to just 0.7 points over ClickUp. Directionally, Asana's top-three rate rose to 51.7% from 46.8%, and its rank-one rate rose to 18.3% from 14.9%.
Want the full Authority Index
The paid deep-dive adds competitor threat profiles, the gap matrix, citation failure map, platform-by-platform recovery roadmap, and client-specific economic modeling.
Recommendation Placement Snapshot
Coverage alone does not show how prominently a brand is recommended. The leaders by coverage kept different first-position profiles in August 2026.
Brand | Aug 2026 top-three rate | Aug 2026 rank-one rate | Jul 2026 top-three rate | Jul 2026 rank-one rate |
|---|---|---|---|---|
Asana | 51.7% | 18.3% | 46.8% | 14.9% |
ClickUp | 46.2% | 9.2% | 42.5% | 14.5% |
monday.com | 46.7% | 19.8% | 41.6% | 16.2% |
Asana and monday.com were close on coverage yet differed in first-position rates: Asana recommended itself first in 18.3% of observations versus 19.8% for monday.com, while ClickUp's rank-one rate fell to 9.2% from 14.5%, weakening its first-choice position despite stable coverage.
Buyer-Intent Distribution
The qualified observations in the July and August 2026 series fell entirely into the Brand Recommendation discovery class.
Buyer-intent class | Jul 2026 | Aug 2026 |
|---|---|---|
Brand Recommendation | 677 | 640 |
Pricing & Value | 0 | 0 |
Multi-Brand Comparison | 0 | 0 |
Total qualified observations | 677 | 640 |
The current public series measures brand recommendation discovery and does not yet contain qualified observations in the Pricing & Value or Multi-Brand Comparison classes.
Historical Measurement Record
Measurement | Qualified observations | Coverage leader | Leader coverage | Largest coverage movement |
|---|---|---|---|---|
Jul 2026 | 677 | Asana | 72.7% | Notion down 7.7 points (Aug vs Jul) |
Aug 2026 | 640 | Asana | 67.7% | Notion down 7.7 points (Jul to Aug) |
Evidence and Source Layer
This benchmark is built from prompt-level observations that retain the query, AI/search surface, answer, brand outcome, recommendation placement, sentiment and, where exposed, citations or attributable evidence sources. Source presence is evidence about the information environment. It is not automatically proof that the source caused the recommendation.
Scope Boundaries
This public benchmark does not measure market share, attributable sales, every possible AI response, organic-search ranking, social mention volume, private or sponsored channels, or causality from a metric movement alone.
About This Benchmark
The LLM Authority Index AI Market Discovery Index is a neutral, recurring measurement of how prominently brands appear in AI-generated answers across six canonical AI/search surface families. The index tracks presence, valid recommendation coverage, placement, and sentiment as distinct signals and makes no claim that one proves another.
- AI Market Discovery Methodology
- AI Market Discovery Metric Definitions
- AI Market Discovery Research Standards
- Modeled AI Authority Value
Get a Company-Level Authority Index
The public industry benchmark shows category-level standings. A company-level Authority Index can go deeper.
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The paid deep-dive adds competitor threat profiles, the gap matrix, citation failure map, platform-by-platform recovery roadmap, and client-specific economic modeling.
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