How AI Search Is Recommending Project Management Software: Monthly Trends

Executive Summary

The category leader changed in October 2026. Asana moved to 86.4% valid recommendation coverage, up 13.7 points from 72.7% in July 2026, and its lead over the next brand widened to 1.3 points over ClickUp at 85.1%. The top of the field is now separated by roughly one point after sitting within a fraction of that in September 2026, so the leadership position is real but narrow.

The strongest upward move from the prior month belongs to Asana, ClickUp, and monday.com together. Asana rose 22.8 points from 63.6% in September 2026, ClickUp rose 21.8 points from 63.3%, and monday.com rose 22.5 points from 61.6%. All three now carry top-three rates above 50% and rank-one rates above 11%, so the gain is not confined to shortlist inclusion.

The sharpest decline belongs to Jira Service Management, which fell 3.8 points from 3.8% in July 2026 to 0.0% in October 2026 and no longer records any valid recommendation coverage. Atlassian continued its two-month upward streak, reaching 29.0% from an August 2026 baseline of zero.

Against the prior month, six brands moved up significantly, one moved down significantly, and four were stable. The category expanded rather than compressed: qualified coverage rose across most of the field at once, and the valid recommendation shortlist share climbed to 85.9% from 74.9% in July 2026.

Each monthly run begins with 800 prompt-surface observations (443 unique questions in July 2026; 495 in October 2026) across the benchmark's defined AI/search surface universe. Of those, all 800 in each month mentioned a tracked brand or competitor; 780 were relevant and 20 were irrelevant in July 2026, versus 793 relevant and 7 irrelevant in October 2026. The public metrics use the 677 qualified observations in July 2026 and the 597 in October 2026 that survive both qualification stages. The intermediate months narrowed the qualified set further: 640 observations in August 2026 and 610 in September 2026.

Key Findings

Benchmark Context

The report separates the raw collection universe from the qualified analysis set. Brand-level recommendation percentages are calculated within the qualified benchmark set.

The raw collection universe held steady at 800 prompts in both months while the qualified set narrowed from 677 to 597 observations. The October 2026 run tested 495 unique questions, up from 443 in July 2026, so a broader set of phrasings was evaluated against a smaller qualified denominator. August 2026 (640 qualified) and September 2026 (610) mark the intermediate path between the two.

Benchmark-Level Metrics

October 2026 reversed the narrowing seen through the middle of the series. The share of observations producing a recommendation-shaped answer climbed to 63.7% after sitting at 30.5% in September 2026, and the valid recommendation shortlist share recovered to 85.9%. Companies tracked held at 10, though the composition shifted: Atlassian appears in the tracked set from September 2026 onward, while Jira Service Management records no qualified observations in October 2026.

AI Recommendation Trend

Questions This Section Answers

• Which brands gained the most valid recommendation coverage in October 2026?
• How did the top three separate from the rest of the field on coverage and placement?

Coverage expands across the field, and the top three separate from the rest

October 2026 is defined by broad-based gains in valid recommendation coverage among the established leaders, with the top three pulling away from the middle of the field on both coverage and placement.

Six brands moved beyond normal month-to-month variation from the July 2026 baseline: Asana, ClickUp, monday.com, Trello, Smartsheet, and Atlassian. Jira Service Management was the only significant decliner. The category-level shift reflects several brands improving at once rather than a single brand driving the aggregate.

What Changed This Month

Questions This Section Answers

• Which brands recorded significant gains or declines this month?
• What drove the movement in coverage and top-three placement across the field?

Asana

Asana's valid recommendation coverage rose a significant 13.7 points from 72.7% in July 2026 to 86.4% in October 2026. The sharper movement is against the prior month: up 22.8 points from 63.6% in September 2026, the largest single-month move the brand recorded across the series. This breaks the two-month decline that ran through September 2026.

The gain is visible in placement, not just shortlist inclusion. Asana's top-three rate rose 13.3 points from 46.8% in July 2026 to 60.1% in October 2026, and its rank-one rate rose 7.5 points to 22.4%, with 134 rank-one recommendations in October 2026. Valid recommendation count reached 516 from a base of 492 in July 2026.

Asana is both more visible in shortlists and more often placed at the top. Raw mention presence was essentially flat at 97.8% of observations in October 2026 versus 98.1% in July 2026, so the movement is in recommendation behavior rather than in whether the brand is mentioned at all.

Highest-priority diagnostic: Which prompt types converted from presence-only in September 2026 to shortlist inclusion and top-three placement in October 2026, and which competitor lost those placements?

ClickUp

ClickUp's valid recommendation coverage rose a significant 14.1 points from 71.0% in July 2026 to 85.1% in October 2026. Against the prior month, coverage climbed 21.8 points from 63.3% in September 2026, reversing a two-month decline.

Placement moved with coverage. ClickUp's top-three rate rose 9.3 points from 42.5% in July 2026 to 51.8% in October 2026, while its rank-one rate slipped 3.1 points to 11.4% from 14.5%, a non-significant movement. Valid recommendation count reached 508, and raw mention presence rose 5.0 points to 95.1%.

ClickUp is winning far more shortlist placements while ceding some first-place ground, and its previous rank-one concentration has narrowed. The brand holds second place on coverage but does not lead the category on rank-one recommendations.

Highest-priority diagnostic: Which prompts moved ClickUp into more shortlists, and which prompts account for its rank-one rate remaining below its July 2026 level?

monday.com

monday.com's valid recommendation coverage rose a significant 12.3 points from 71.8% in July 2026 to 84.1% in October 2026. Against the prior month, coverage climbed 22.5 points from 61.6% in September 2026, ending a two-month downward streak.

The brand now leads the category on top placement. Its rank-one rate rose 7.6 points from 16.2% in July 2026 to 23.8%, with 142 rank-one recommendations in October 2026, the highest of any tracked brand. Its top-three rate rose 12.7 points to 54.3%. Raw mention presence held steady at 95.5% versus 95.6% in July 2026.

monday.com is the strongest first-place performer in the category while ranking third on overall coverage. Its improvement came from converting existing visibility into higher shortlist and top placement, not from being mentioned in more answers.

Highest-priority diagnostic: Which AI surfaces or prompt types account for monday.com ranking first more often than any other brand while still sitting third on coverage?

Atlassian

Atlassian's valid recommendation coverage rose a significant 29.0 points from a July 2026 baseline of zero, reflecting its entry to tracking in September 2026. Against the prior month, coverage rose 11.0 points from 18.0% in September 2026, producing a two-month upward streak.

Atlassian recorded 173 valid recommendations in October 2026 from 230 present observations, with raw mention presence at 38.5% of observations. Its top-three rate was 6.0% and its rank-one rate 2.4%, both modest relative to the top of the field. The gap to Basecamp widened to 17.1 points by October 2026, from 13.7 points in July 2026, and this gap has widened every month of the series.

Atlassian's position is still primarily a presence story: it is mentioned far more than it is shortlisted, and shortlisted far more than it is placed first. Its trajectory differs from the category's established leaders, whose coverage rests on much higher placement rates.

Highest-priority diagnostic: Which product-level prompts drive Atlassian's recommendations versus its parent-brand mentions, and which prompts move it into the top three rather than the long shortlist?

Trello

Trello's valid recommendation coverage rose a significant 9.7 points from 66.0% in July 2026 to 75.7% in October 2026. Against the prior month, coverage climbed 21.4 points from 54.3% in September 2026, reversing a significant September decline.

The brand's top-three rate rose a non-significant 2.4 points to 20.4% from 18.0% in July 2026, while its rank-one rate was essentially flat, down 0.1 points to 7.4%. Raw mention presence slipped 2.7 points to 87.4%. Valid recommendation count reached 452, up from 447 in July 2026.

Trello recovered shortlist inclusion without recovering top-three placement, so its coverage gain came from long shortlists rather than high positions. This separates it from the top three, which improved on both measures.

Highest-priority diagnostic: Which prompts moved Trello back into shortlists in October 2026, and which prompts still exclude it from the top three?

Smartsheet

Smartsheet's valid recommendation coverage rose a significant 7.3 points from 49.0% in July 2026 to 56.3% in October 2026. Against the prior month, coverage climbed 14.3 points from 42.0% in September 2026, the largest single-month move the brand recorded.

Placement barely moved with coverage. Smartsheet's top-three rate rose a non-significant 1.1 points to 2.9% from 1.8% in July 2026, and its rank-one rate fell 0.3 points to 0.0%, meaning the brand recorded no first-place recommendations in October 2026. Raw mention presence slipped 3.9 points to 64.1%, and valid recommendation count reached 336.

Smartsheet's gain sits almost entirely in shortlist inclusion, with almost no translation into top placement. Its coverage now exceeds Wrike's at 49.8%, but its top-three rate remains in the low single digits.

Highest-priority diagnostic: Which prompts moved Smartsheet into shortlists without moving it into the top three, and what attribute or use case would need to appear for top-three placement?

Wrike, Notion, Basecamp, and Microsoft SharePoint

Wrike's valid recommendation coverage rose a non-significant 4.2 points from 45.6% in July 2026 to 49.8% in October 2026, after a significant 9.6-point rise from September 2026. Its top-three rate rose 0.8 points to 6.4% and its rank-one rate rose 0.2 points to 1.7%, both within normal variation. Valid recommendation count reached 297.

Notion's coverage rose a non-significant 1.9 points from 47.7% in July 2026 to 49.6% in October 2026, after a significant 13.2-point rise from September 2026. Its top-three rate slipped 0.4 points to 4.5% and its rank-one rate was flat at 1.2%. Valid recommendation count reached 296.

Basecamp's coverage fell a non-significant 1.8 points from 13.7% in July 2026 to 11.9% in October 2026, though coverage rose 2.2 points from September 2026. Its top-three rate fell a significant 2.0 points to 0.2%, with a single top-three recommendation, and it recorded no rank-one recommendations. Valid recommendation count was 71.

Microsoft SharePoint's coverage rose a non-significant 0.1 points from 0.4% in July 2026 to 0.5% in October 2026, on 3 valid recommendations and 12 present observations. Its absolute counts are small enough that percentage movement should be read with caution.

Highest-priority diagnostic: For the brands clustered in the middle and tail, which specific prompts produce their valid recommendations, and which of those prompts also produce top-three placement?

Buyer-Intent Interpretation

Questions This Section Answers

• Which buyer-intent clusters did the benchmark actually capture?
• What commercial questions can't the current benchmark answer?

In every month of the series, all qualified observations fell into the Brand Recommendation cluster. The public benchmark collected 677 qualified observations in July 2026 and 597 in October 2026, every one of which was a recommendation-oriented query. No qualified observations landed in the Pricing & Value or Multi-Brand Comparison clusters in any month.

The public benchmark cannot yet answer questions about price perception, value positioning, or head-to-head comparison outcomes. Those commercial questions require a company-level analysis that directly targets pricing and comparison prompts.

Brand Opportunity Summary

Questions This Section Answers

• Which brand has the highest coverage, and which has the highest rank-one count?
• Where do brands gain shortlist inclusion without top-three placement?

The benchmark identifies where attention is warranted; a company-level analysis is needed to explain why.

Evidence Behind the Benchmark

Questions This Section Answers

• What data does the benchmark use to build its aggregate metrics?
• Does source presence prove causation in this analysis?

The aggregate metrics are built from prompt-level observations (query, surface, recommendation outcome, rank, sentiment, and citations where exposed). Company-level analysis can go deeper into prompt, competitor, surface, and evidence patterns. Source presence is not automatically treated as proof of causation.

About This Benchmark

This report is part of the CiteWorks Studio AI Visibility Market Discovery research program.

• AI Visibility Industry Market Methodology
• AI Visibility Industry Market Metrics
• AI Visibility Industry Market Standards

Report-Specific Interpretation Notes

• Small-count movement: Microsoft SharePoint (3 valid recommendations in October 2026) and Basecamp (71) carry small denominators; their percentage movements should be read with proportionally more caution.
• Qualified denominator versus raw collection: The public metrics use 597 qualified observations in October 2026, not the 800 raw prompts collected; percentages are calculated within the qualified set.
• Tracked set changes: Atlassian entered the tracked set in September 2026 and has no July 2026 baseline. Jira Service Management records no qualified observations in October 2026, so cross-month coverage comparison beyond July 2026 is limited for that brand.
• Directional analysis: Movement between months identifies changes worth investigating, but does not by itself establish the cause of those changes.

Next Step

The Public Benchmark Shows Where a Brand Is Winning or Losing. A Company-Level Audit Shows Why.

Beneath the aggregate coverage percentage sit specific questions: which high-intent prompts does the brand win, which competitor takes the recommendation when the brand loses, what attributes does the AI associate with each option, and which external sources shape those answers? For a brand like Smartsheet gaining shortlist inclusion without top-three placement, or Atlassian entering with strong visibility but modest position, the public numbers only indicate where to look.

The public benchmark cannot identify the prompts, competitors, or sources causing the result. A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy, turning benchmark signals into actionable diagnosis.

Request an AI visibility audit