monday.com AI Market Strategy Report - Project Management Software

Answer Capsule

monday.com holds the strongest first-position recommendation signal in Project Management Software in September 2026, with a rank-one rate of 19.19% and 117 rank-one recommendations, the highest count in the tracked set. Its valid recommendation coverage of 61.64% places it third behind Asana at 63.61% and ClickUp at 63.28%, a gap of under two points. The clearest win is top-of-shortlist placement, where monday.com leads the category despite falling coverage. The clearest weakness is shortlist inclusion, which declined 10.2 points from 71.8% in July 2026. The clearest opportunity is converting its first-place strength into broader shortlist presence across the recommendation prompts where it is currently absent.

Who This Report Is For

This report is written for category leaders, product marketing teams, and growth strategists at project management and work collaboration platforms who need to understand how AI systems are recommending brands at the decision moment.

Report Card

Executive Summary

Questions This Section Answers

• What does monday.com's September 2026 recommendation profile look like across presence, coverage, and first-position strength?
• What is the significance of the gap between monday.com's mention presence and valid recommendation coverage?
• Which platforms and prompt clusters produced the strongest and weakest signals for monday.com?

monday.com enters September 2026 as the category's strongest first-position performer and its third-ranked brand by overall recommendation coverage. The benchmark shows a 61.64% valid recommendation coverage rate, down 10.2 points from 71.8% in July 2026, a two-month decline that the dataset marked as significant. Raw mention presence held essentially flat at 95.25%, meaning the brand remains almost universally visible in AI-generated answers across the tracked surface families.

The gap between presence and recommendation is the defining feature of monday.com's September position. The brand appears in 95.25% of qualified observations but is recommended in a valid shortlist context in 61.64% of them. That 33.6-point spread indicates that AI systems frequently reference monday.com without placing it in an evaluable recommendation position.

The strongest cluster is C01, Best AI Work Collaboration Platforms, which carries all 610 qualified observations in the September series. The Pricing and Value and Multi-Brand Comparison clusters produced zero qualified observations in any month of the public series, so the benchmark cannot yet speak to how monday.com performs on price perception or head-to-head comparison prompts.

The strongest platform signal is Google AI Mode, where monday.com recorded a 32.18% rank-one rate and a 75.29% valid recommendation coverage rate, both the highest among the six tracked surfaces. Google AI Overviews followed with a 14.20% rank-one rate. Perplexity showed the highest captured share of AI opportunity at 62.18%, though on a much smaller observation base.

The clearest platform gap is Copilot, where monday.com's rank-one rate was 15.25% but its valid recommendation coverage was 59.32%, and Gemini, where coverage was 37.33% despite a 24.00% rank-one rate. The pattern suggests that on some surfaces monday.com is being placed first when it appears, but is appearing in a smaller share of evaluable recommendation contexts.

Net sentiment stood at 0.8606, with 500 positive mentions, 81 neutral mentions, and zero negative mentions across 581 present observations. The absence of negative framing is a meaningful signal in a category where several competitors recorded at least one negative mention.

What monday.com Is Winning

Questions This Section Answers

• Where does monday.com lead the category at the decision moment, and by how much?
• Which AI surface delivers monday.com's strongest recommendation signal?
• How did monday.com's rank-one rate move even as overall coverage declined?

monday.com holds the highest rank-one rate in the category at 19.19%, ahead of Asana at 14.59% and ClickUp at 7.54%. The rank-one count of 117 is the largest in the tracked set, exceeding Asana's 89 and ClickUp's 46. This is the brand's clearest competitive advantage at the decision moment.

The brand also recorded zero negative mentions across 581 present observations in September 2026. Among tracked brands, only monday.com, Wrike, Smartsheet, Atlassian, and Microsoft SharePoint matched that absence of negative framing, and monday.com did so on a far larger mention base than any of them.

Google AI Mode is monday.com's strongest surface. The platform recorded a 32.18% rank-one rate, a 54.02% top-three rate, and a 75.29% valid recommendation coverage rate on that surface, with 56 rank-one recommendations from 174 observations. The brand's average recommended rank on Google AI Mode was 2.20, the best among the six surfaces.

The brand's rank-one rate rose 2.9 points from 16.3% in July 2026 to 19.2% in September 2026, even as overall coverage declined. That divergence indicates that monday.com is winning a larger share of first-place placements within a narrower set of qualifying recommendation contexts.

Where monday.com Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Where did monday.com lose valid recommendation coverage, and how large was the decline?
• Why are Copilot and Gemini the clearest gaps between rank-one strength and shortlist inclusion?
• What can the benchmark not yet determine about monday.com's coverage decline?

The primary gap is shortlist inclusion. monday.com's valid recommendation coverage fell from 71.8% in July 2026 to 61.6% in September 2026, a 10.2-point decline that the benchmark classified as significant. Over the same period, raw mention presence held at 95.25%, down only 0.4 points from 95.6% in July 2026. The brand is being mentioned at nearly the same rate but is being shortlisted far less often.

ClickUp presents the sharpest contrast. ClickUp's presence rate rose 4.8 points to 94.9% while its rank-one rate fell 7.0 points to 7.5%. monday.com shows the inverse pattern: presence held steady while rank-one placement rose. Both brands lost coverage, but they lost it in different parts of the recommendation funnel. monday.com retained and strengthened its first-position advantage while losing ground on shortlist inclusion.

The Copilot surface shows a specific gap. monday.com's valid recommendation coverage on Copilot was 59.32%, below its overall rate of 61.64% and well below its Google AI Mode rate of 75.29%. The brand's rank-one rate on Copilot was 15.25%, which is strong in isolation but sits alongside a 37.29% neutral visibility rate, the highest neutral share among the six surfaces. That combination suggests monday.com is frequently referenced on Copilot in a context that does not convert to a valid recommendation.

Gemini shows a similar pattern at a smaller scale. Coverage was 37.33% with a 24.00% rank-one rate, meaning that when monday.com appeared in a valid recommendation context on Gemini, it was placed first nearly two-thirds of the time. The constraint is not placement quality but the narrow share of Gemini observations where the brand qualifies for recommendation credit at all.

The benchmark does not contain qualified observations in the Pricing and Value or Multi-Brand Comparison clusters for any month of the public series. That means the report cannot identify whether monday.com's coverage decline is concentrated in price-related or comparison-related prompts. A company-level analysis would be required to isolate those prompt types.

Biggest Opportunity

The clearest opportunity is closing the shortlist inclusion gap on Copilot and Gemini, where monday.com's rank-one strength is not translating into broader recommendation coverage. On both surfaces, the brand converts a high share of its valid recommendation appearances into first-place placements, but appears in a smaller share of evaluable recommendation contexts than it does on Google AI Mode or Google AI Overviews. The path from reference to recommendation on those two surfaces is the most direct route to recovering the 10.2 points of coverage lost since July 2026.

Competitive Landscape

Questions This Section Answers

• How does monday.com compare with Asana and ClickUp across rank-one, top-three, and average recommended rank?
• Which brand converts its recommendation appearances into the highest placements in the category?

monday.com holds the strongest first-position recommendation signal in the category, but Asana and ClickUp hold slightly broader shortlist inclusion. The three brands are separated by under two points of valid recommendation coverage, making the top of the category unusually tight.

Average recommended rank covers rank-eligible recommendations only.

monday.com sits second by top-three rate and first by rank-one rate, with the best average recommended rank in the category at 2.273. The table shows that monday.com converts its recommendation appearances into higher placements than any competitor, but appears in a slightly smaller share of top-three contexts than Asana.

Prompt Evidence

Google AI Mode / Best AI Work Collaboration Platforms Prompt: "What is the best collaboration software?" Result: monday.com recorded a 32.18% rank-one rate on Google AI Mode, the highest first-position rate of any brand on any tracked surface.

Copilot / Best AI Work Collaboration Platforms Prompt: "Which tool helps teams coordinate and collaborate?" Result: monday.com appeared in 98.31% of Copilot observations but converted only 59.32% into valid recommendation coverage, with a 37.29% neutral visibility rate.

Gemini / Best AI Work Collaboration Platforms Prompt: "What's the best task management tool?" Result: monday.com held a 24.00% rank-one rate on Gemini but a 37.33% valid recommendation coverage rate, indicating strong placement within a narrow recommendation base.

Google AI Overviews / Best AI Work Collaboration Platforms Prompt: "Which software is best for remote work?" Result: monday.com recorded a 14.20% rank-one rate and a 59.17% valid recommendation coverage rate on Google AI Overviews, with 24 rank-one recommendations from 169 observations.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the specific prompt types where monday.com is mentioned but not shortlisted, with particular focus on Copilot and Gemini where the coverage gap is widest.

Phase 2: Recommendation Readiness Plan Prioritize the prompt clusters and surfaces where monday.com's rank-one strength is not converting into broader shortlist inclusion, and define the content and evidence changes needed to close that gap.

Phase 3: Owned Answer Layer Buildout Strengthen the owned pages and structured content that AI systems retrieve when forming recommendation shortlists, with emphasis on the comparison and evaluation contexts where monday.com currently qualifies less often.

Phase 4: Citation and Authority Layer Development Build the public evidence layer that supports retrievability on Copilot and Gemini, where monday.com's recommendation coverage trails its Google AI Mode performance.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track coverage, top-three rate, rank-one rate, and sentiment by platform and cluster to measure whether shortlist inclusion recovers while first-position strength holds.

Why This Matters

AI presence alone is not enough. monday.com appears in 95.25% of qualified observations but is recommended in a valid shortlist context in only 61.64% of them. The 33.6-point gap between being mentioned and being shortlisted is where buyer decisions are shaped, and it is the gap that widened by 10.2 points between July 2026 and September 2026.

The next move is targeted correction of the prompt, page, and citation layers that determine whether monday.com is included in the recommendation shortlist, not just referenced in the answer. The brand's first-position strength shows that AI systems place monday.com at the top when it qualifies. The work is in qualifying more often.

Core Metrics

Sentiment Score

Sentiment Score = (positive mentions × 1 + neutral mentions × 0 + negative mentions × -1) / total mentions

For monday.com in September 2026: (500 × 1 + 81 × 0 + 0 × -1) / 581 = 0.8606.

This matters because unclassified mention counts are misleading. A brand that appears in 581 observations but is framed negatively in a meaningful share of them is not in the same position as a brand with the same mention count and no negative framing. monday.com recorded zero negative mentions in September 2026, which is a genuine strength on a mention base of this size.

Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, a neutral reference, a cautionary mention, and a competitor-displaced mention are not equal. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because the difference between being recommended and being listed as context is the difference between being in the buyer shortlist and being left out of it.

Sentiment by Platform

Questions This Section Answers

• Which AI surfaces show the strongest and weakest sentiment signal for monday.com?
• Why does Copilot's sentiment score diverge from the other tracked platforms?

Methodology

1. This report is a benchmark-based analysis of AI recommendation behavior in the Project Management Software category for September 2026. It is not a client result and does not claim that any remediation activity caused the observed outcomes.
2. The reporting window covers the September 2026 monthly run of the LLM Authority Index AI Market Discovery Index, with comparison to July 2026 and August 2026 where the public series provides baseline data.
3. Six AI surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode. Keyword variants roll up into their parent family rather than counting as separate surfaces.
4. The September 2026 run began with 800 prompt-surface observations and produced 610 qualified benchmark observations after qualification. The July 2026 run produced 677 qualified observations and the August 2026 run produced 640.
5. Ten brands were tracked in September 2026: Asana, Atlassian, Basecamp, ClickUp, Microsoft SharePoint, monday.com, Notion, Smartsheet, Trello, and Wrike. Jira Service Management appeared in July and August 2026 but was dropped from the September 2026 tracked set.
6. All 610 qualified observations in September 2026 fell into the Brand Recommendation buyer-intent class. The Pricing and Value and Multi-Brand Comparison classes produced zero qualified observations in any month of the public series.
7. The benchmark retains prompt-level observations including the query, AI surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources. Source presence is evidence about the information environment and is not automatically proof that the source caused the recommendation.
8. A mention is counted when a tracked brand appears anywhere in a qualified AI response, regardless of whether the brand is recommended. Raw mention presence rate measures how often a brand appears at all.
9. A valid recommendation is counted when a brand appears in a recommendation context that can be evaluated, with positive sentiment and a rank position between 1 and 10. Neutral, cautionary, comparison-anchor, and listed-only mentions are not counted as valid recommendations unless the dataset explicitly marks them as such.
10. Brand-level percentages use the 610 qualified observations as the public denominator, not the 800 raw prompts collected. The qualified set narrowed from 677 to 610 observations between July 2026 and September 2026 while the raw collection held steady at 800.
11. The September 2026 run tested 490 unique questions, up from 443 in July 2026, meaning a broader set of phrasings was evaluated against a smaller qualified denominator.
12. Movement between months identifies changes worth investigating but does not by itself establish the cause of those changes. The 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.

See How AI Is Recommending Your Brand

The public benchmark shows where monday.com is winning and losing at the category level. A company-level AI visibility audit maps the specific prompts, competitors, surfaces, and evidence sources behind those numbers, turning benchmark signals into a prioritized plan for closing the shortlist inclusion gap on Copilot and Gemini while protecting the brand's first-position strength.