monday.com AI Visibility Market Strategy Report - Project Management Software

Answer Capsule

monday.com holds strong recommendation power in Project Management Software, with 84.09% valid recommendation coverage in October 2026 and the highest rank-one recommendation count of any tracked brand at 142. The brand ranks third on overall coverage behind Asana at 86.43% and ClickUp at 85.09%, but leads the category on first-position recommendations with a 23.79% rank-one rate. Its clearest win is first-place recommendation frequency, its clearest weakness is a coverage gap of 2.34 percentage points to the category leader, and its clearest opportunity is converting its existing visibility into broader shortlist inclusion across the full prompt set.

Who This Report Is For

This report is for monday.com's marketing, product marketing, and revenue leadership teams, and for category analysts tracking how AI systems recommend project management and work collaboration platforms at the buyer shortlist stage.

Report Card

Executive Summary

monday.com is the strongest first-place performer in the Project Management Software category while ranking third on overall recommendation coverage. The benchmark shows the brand at 84.09% valid recommendation coverage in October 2026, up 12.3 points from 71.8% in July 2026, with a rank-one rate of 23.79% and 142 rank-one recommendations, the highest of any tracked brand.

The brand's raw mention presence held steady at 95.48% of qualified observations, essentially flat against 95.6% in July 2026. This means the improvement came from converting existing visibility into higher shortlist and top placement, not from being mentioned in more answers. The analysis found that monday.com's top-three rate rose 12.7 points to 54.27% over the same period.

Positive mentions totaled 528 against 41 neutral and 1 negative, producing a net sentiment score of 0.9246. That places monday.com in the top tier of framing quality alongside Asana at 0.9366 and ClickUp at 0.9296, with no meaningful negative framing in the dataset.

The strongest platform signal for monday.com is Google AI Overviews, where the brand recorded 212,450.10 in AI Visibility Authority Value and a 21.25% rank-one rate across 160 observations. Google AI Mode followed with a 35.12% rank-one rate, the highest single-platform first-position rate in the brand's platform breakdown.

The clearest gap is coverage relative to the category leader. Asana holds 86.43% valid recommendation coverage against monday.com's 84.09%, a 2.34-point gap, while ClickUp sits between them at 85.09%. The top three are separated by roughly two points after sitting within a fraction of that in September 2026, so the leadership position at the top of the field is real but narrow.

The clearest cluster gap is structural rather than competitive. All 597 qualified observations in October 2026 fell into the Brand Recommendation discovery class. No qualified observations landed in the Pricing & Value or Multi-Brand Comparison clusters in any month of the series, so the benchmark cannot yet show how monday.com performs when AI systems are asked to compare options head to head or weigh cost against value.

What monday.com Is Winning

Questions This Section Answers

• Where does monday.com lead the category on first-position recommendations?
• How did monday.com's rank-one and shortlist inclusion move between July and October 2026?
• Which platforms produce monday.com's strongest recommendation behavior?

monday.com leads the category on first-position recommendations. Its 142 rank-one recommendations in October 2026 were the highest of any tracked brand, ahead of Asana at 134 and ClickUp at 68. Its rank-one rate of 23.79% also edged Asana's 22.45%, even though Asana holds the higher overall coverage rate.

The brand's rank-one rate rose 7.6 points from 16.2% in July 2026 to 23.79% in October 2026, while its coverage rose 12.3 points over the same period. Both placement and shortlist inclusion improved together, which separates monday.com from brands like Trello and Smartsheet that gained shortlist inclusion without comparable top-three movement.

monday.com shows no meaningful negative framing. The dataset recorded 1 negative mention against 528 positive and 41 neutral, producing a net sentiment score of 0.9246. That is the second-highest net sentiment among the top three coverage leaders.

The brand's strongest platform by recommendation behavior is Google AI Overviews, where it captured 212,450.10 in AI Visibility Authority Value and a 23.64% share of platform opportunity across 160 observations. Google AI Mode produced the highest rank-one rate at 35.12%, and Perplexity produced the highest captured share of platform opportunity at 32.15%.

Where monday.com Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Why does monday.com trail Asana on coverage when its mention presence is nearly identical?
• Where is monday.com shortlisted but never placed first across platforms?
• What does the top-three rate gap with Asana mean for monday.com's shortlist inclusion?

monday.com is present in nearly every qualified observation but is not always chosen. Its raw mention presence rate of 95.48% sits within a fraction of Asana's 97.82% and ClickUp's 95.14%, yet its valid recommendation coverage of 84.09% trails Asana's 86.43%. The gap is small in absolute terms, but it represents the difference between being mentioned and being shortlisted in roughly 14 additional observations per 597.

The clearest displacement pattern is at the top of the field. Asana holds the category lead at 86.43% coverage and 60.13% top-three rate, while monday.com holds 84.09% coverage and 54.27% top-three rate. monday.com wins more first-place recommendations, but Asana appears in the top three more often overall. That means monday.com is more likely to be named first when it is recommended, but slightly less likely to be recommended at all.

ClickUp sits between the two on coverage at 85.09% and holds a 51.76% top-three rate. The three brands are separated by 2.34 points on coverage and 8.86 points on top-three rate, so the category leadership is concentrated at the top and the margin between first and third is narrow.

The benchmark does not show monday.com absent from any tracked platform. The brand recorded presence across ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode. Its weakest platform by rank-one rate is ChatGPT at 0.0%, where it recorded 29 top-three recommendations but no first-place placements across 64 observations. That is a specific, addressable gap rather than a broad platform absence.

Biggest Opportunity

Questions This Section Answers

• What is the clearest path for monday.com to close the top-three coverage gap with Asana?
• Which prompt types represent monday.com's best opportunity to convert visibility into top-three placement?
• What visibility layer can monday.com not currently measure?

The clearest path from reference to recommendation for monday.com is closing the top-three coverage gap with Asana while defending its rank-one lead. The brand already converts visibility into first-place recommendations more often than any competitor. The opportunity is to appear in the top three in the roughly 35 additional observations per 597 where Asana is shortlisted but monday.com is not.

That opportunity sits inside the Brand Recommendation cluster, which is the only qualified cluster in the current benchmark. The prompt examples in the dataset point to specific high-intent phrasings such as "Which app is best for doing project work?", "What is the best tool to track tasks?", and "What is the best free collaboration tool?" These are recommendation-shaped queries where monday.com already appears but does not always reach the top three.

The benchmark cannot yet show how monday.com performs on pricing or head-to-head comparison prompts, because no qualified observations landed in those clusters. That is a measurement gap, not a performance gap, and it represents the next layer of visibility the brand cannot currently see.

Competitive Landscape

Questions This Section Answers

• How do Asana, monday.com, and ClickUp separate on top-three rate, rank-one rate, and average rank?
• What tier structure emerges across the ten tracked brands in Project Management Software?
• Where does monday.com sit relative to competitors on sentiment and average recommended rank?

Asana, ClickUp, and monday.com hold recommendation-stage strength in Project Management Software, separated by roughly two points on coverage and led by monday.com on first-position recommendations. The table below shows where each tracked brand sits on top-three rate, rank-one rate, average recommended rank, and sentiment.

Average recommended rank covers rank-eligible recommendations only.

monday.com sits second on top-three rate and first on rank-one rate, with an average recommended rank of 2.32 that trails only Asana at 2.22. The table shows a clear three-tier structure: Asana, monday.com, and ClickUp at the top, Trello alone in the middle, and the remaining six brands clustered well below 10% top-three rate.

Prompt Evidence

Google AI Mode / Brand Recommendation Prompt: "Which app is best for doing project work?" Result: monday.com recorded a 35.12% rank-one rate on Google AI Mode across 168 observations, the highest single-platform first-position rate in its platform breakdown.

ChatGPT / Brand Recommendation Prompt: "What is the best tool to track tasks?" Result: monday.com recorded 29 top-three recommendations on ChatGPT but a 0.0% rank-one rate across 64 observations, showing shortlist presence without first-place placement on that platform.

Perplexity / Brand Recommendation Prompt: "What is the best free collaboration tool?" Result: monday.com captured 32.15% of platform opportunity on Perplexity, its highest captured share across all tracked platforms.

Google AI Overviews / Brand Recommendation Prompt: "Which software is best for remote work?" Result: monday.com recorded 90 top-three recommendations and 34 rank-one recommendations on Google AI Overviews across 160 observations, its strongest platform by total recommendation volume.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map the specific prompts where monday.com appears but does not reach the top three, and identify which competitor takes the recommendation in those observations.

Phase 2: Recommendation Readiness Plan Prioritize the prompt types and platform gaps where monday.com's rank-one strength is not matched by top-three coverage, starting with ChatGPT where first-place placement is absent.

Phase 3: Owned Answer Layer Buildout Strengthen the pages and content assets that answer the recommendation-shaped queries in the Brand Recommendation cluster, with emphasis on task tracking, remote work, and free collaboration tool prompts.

Phase 4: Citation / Authority Layer Development Develop the source footprint that AI systems retrieve from, including the software and workflow publishers and community sources that appear in the category's citation layer.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track coverage, top-three rate, rank-one rate, and sentiment month over month to confirm whether the top-three gap with Asana narrows and whether the rank-one lead holds.

Why This Matters

AI presence alone is not enough. monday.com is mentioned in 95.48% of qualified observations, but it is recommended in 84.09% and placed in the top three in 54.27%. The difference between those numbers is where buyer shortlists are formed, and it is where the category leader currently holds an edge.

The next move is targeted correction of the prompt, page, and citation layers that shape AI-generated recommendations. monday.com already leads on first-position recommendations. Closing the top-three coverage gap with Asana, and understanding why ChatGPT produces shortlist inclusion without first-place placement, are the two most specific opportunities the benchmark surfaces.

Core Metrics

Sentiment Score

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

For monday.com in October 2026, that is (528 × 1 + 41 × 0 + 1 × -1) / 570, which produces a net sentiment score of 0.9246.

This matters because unclassified mention counts are misleading. A brand mentioned 570 times with mixed framing is not in the same position as a brand mentioned 570 times with consistently positive framing. Share of voice is a diagnostic metric, not a business KPI. It tells you how often a brand appears, not how it is described when it appears.

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 framing attached to a mention shapes whether a buyer treats the brand as a candidate or as context.

monday.com's sentiment profile is strong. With 528 positive mentions against 1 negative, the brand shows almost no negative framing in the dataset. The 41 neutral mentions represent references where the brand appears without a clear recommendation or caution, which is a normal pattern for a category leader.

Sentiment by Platform

Questions This Section Answers

• Which platforms show the strongest sentiment signal for monday.com?
• Where does monday.com show lower sentiment or negative framing across AI platforms?
• How do neutral mentions distribute across monday.com's tracked platforms?

Methodology

1. This report is benchmark-based analysis of monday.com's AI recommendation visibility in Project Management Software. It is not a client implementation case study and does not claim that any action by CiteWorks Studio produced the observed results.
2. The reporting month is October 2026, with comparison points from July 2026, August 2026, and September 2026 where the source data provides them.
3. Six AI platform families were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode. Keyword variants roll up into their parent family.
4. The October 2026 run began with 800 prompt-surface observations and produced 597 qualified observations after qualification. The July 2026 baseline produced 677 qualified observations.
5. The competitor universe contains 10 tracked brands: Asana, Atlassian, Basecamp, ClickUp, Microsoft SharePoint, monday.com, Notion, Smartsheet, Trello, and Wrike. Jira Service Management was removed from the tracked set before October 2026.
6. One qualified buyer-intent cluster was measured in October 2026: Brand Recommendation. Two additional clusters, Pricing & Value and Multi-Brand Comparison, are defined in the benchmark but recorded no qualified observations in any month of the series.
7. Stage 0 extraction produced the prompt-level observations that feed the aggregate metrics. Each observation retains the query, AI surface, answer, brand outcome, recommendation placement, sentiment, and citations where exposed.
8. A mention is counted when a tracked brand appears in a qualified AI response, regardless of whether it is recommended. Raw mention presence rate is the share of qualified observations where the brand appears at all.
9. A valid recommendation is counted when a brand appears in a recommendation context that can be evaluated. Valid recommendation coverage is the share of qualified observations where the brand receives that credit. Neutral, cautionary, comparison-anchor, and listed-only mentions are not counted as valid recommendations unless the dataset explicitly marks them as such.
10. Top-three rate is the share of qualified observations where the brand is recommended in one of the top three positions. Rank-one rate is the share where the brand is recommended first. Average recommended rank covers rank-eligible recommendations only.
11. Source presence in the citation layer is evidence about the information environment. It is not automatically proof that a source caused a recommendation.
12. The 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. The benchmark identifies where attention is warranted, and a company-level analysis is needed to explain why.

See How AI Is Recommending Your Brand

The public benchmark shows where monday.com is winning and losing at the recommendation stage. A company-level AI visibility audit maps the specific prompts, competitors, platforms, and source patterns behind those numbers, turning category-level signals into a prioritized plan for the prompts and pages that shape buyer shortlists.