CiteWorks Studio

monday.com AI Market Strategy Report - CRM Software

Mark HuntleyBy Mark HuntleyFounder and CEO
9 minutes read

Key Takeaways

  • monday.com ranked second in CRM Software with 37.42% valid recommendation coverage, trailing Pipedrive by 4.1 points.
  • The brand appeared in 60.94% of qualified observations, but that visibility converted unevenly into recommendations.
  • Google AI Overviews was monday.com's strongest surface at 56.64% recommendation coverage and a 0.8961 sentiment score.
  • The biggest gap was recommendation placement: monday.com posted a 9.41% top-three rate and 0.00% top-three placement on ChatGPT.

Answer Capsule

monday.com holds the second-strongest recommendation position in the CRM Software category with 37.42% valid recommendation coverage in September 2026, trailing category leader Pipedrive by 4.1 points. The brand shows a clear gap between raw presence and recommendation conversion, appearing in 60.94% of qualified observations but converting only a portion of that visibility into valid recommendations. Its clearest strength is a strong rank-one rate of 3.27%, which exceeds Pipedrive's 2.66% despite lower overall coverage. The clearest opportunity is closing the top-three recommendation gap with Pipedrive, where monday.com trails by 11.04 points.

Who This Report Is For

This report is for CRM Software marketing, product, and revenue leaders tracking how AI-generated recommendations are shaping buyer consideration in the category.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

monday.com

Category / market studied

CRM Software

Reporting month

September 2026

AI platforms tracked

6 (ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, AI Mode)

Public high-intent clusters

1

AI observations analyzed

489

Competitors tracked

10

Executive Summary

monday.com holds a strong second-place position in the CRM Software benchmark with 37.42% valid recommendation coverage in September 2026. The brand appears in 60.94% of qualified observations, with 212 positive mentions, 86 neutral mentions, and no negative mentions across the 489-observation qualified set. This gives monday.com the second-highest presence rate in the category behind Pipedrive.

The strongest signal for monday.com is its rank-one recommendation rate of 3.27%, which is the second-highest in the category and exceeds the category leader's 2.66% rate. When monday.com is recommended first, it captures the buyer's initial choice moment. The brand also holds a net sentiment score of 0.7114, indicating consistently positive framing across AI surfaces.

The clearest weakness is the top-three recommendation gap. monday.com's top-three rate of 9.41% trails Pipedrive's 20.45% by 11.04 points, meaning Pipedrive is roughly twice as likely to appear in the top three recommendation slots. This gap persists despite monday.com's higher rank-one rate, suggesting the brand wins the first-position moment less often overall but is more likely to be placed first when it does secure a top-three slot.

The strongest platform signal comes from Google AI Overviews, where monday.com reaches 56.64% valid recommendation coverage and a 0.8961 net sentiment score. The clearest platform gap is on Copilot, where monday.com holds only 10.17% valid recommendation coverage compared with its category-leading performance on Google surfaces.

What monday.com Is Winning

Questions This Section Answers

  • Where does monday.com outperform the CRM category leader in AI recommendations?
  • Which AI surface shows the strongest recommendation and sentiment performance for monday.com?

monday.com holds the strongest rank-one recommendation rate among the top three brands in the category. At 3.27%, its rank-one rate exceeds Pipedrive's 2.66% and demonstrates that when monday.com is recommended, it can win the first-position moment against the category leader.

The brand also shows exceptional performance on Google AI Overviews. With 56.64% valid recommendation coverage and a 0.8961 net sentiment score, monday.com nearly matches Pipedrive's 57.52% coverage on this surface while exceeding Pipedrive's sentiment score of 0.8519. This suggests monday.com has built a strong source footprint that Google's AI Overviews surface retrieves and recommends consistently.

monday.com maintains a clean sentiment profile with zero negative mentions across all tracked platforms. The brand's net sentiment score of 0.7114 reflects consistently positive framing, with 212 positive mentions against 86 neutral mentions and no negative mentions in the qualified set.

Where monday.com Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Where does monday.com trail Pipedrive most sharply in recommendation placement?
  • Which AI platform shows the largest presence-to-recommendation conversion gap for monday.com?

The most significant gap is top-three recommendation placement. monday.com's top-three rate of 9.41% is less than half of Pipedrive's 20.45%. This means that in direct recommendation moments, AI systems are substantially more likely to place Pipedrive in the top three positions where buyer attention concentrates.

Copilot represents the clearest platform gap. monday.com holds only 10.17% valid recommendation coverage on Copilot, compared with 48.36% on Google AI Mode and 56.64% on Google AI Overviews. The brand's presence on Copilot is also lower at 37.29%, suggesting weaker retrievability on Microsoft's AI surface.

monday.com also shows a presence-to-recommendation conversion gap on ChatGPT. The brand appears in 58.93% of ChatGPT observations but converts only 23.21% into valid recommendations, with a top-three rate of 0.00% on that platform. This indicates monday.com is frequently mentioned but rarely positioned as a top recommendation when buyers ask ChatGPT for CRM recommendations.

Biggest Opportunity

Questions This Section Answers

  • What is monday.com's clearest path to improving its AI recommendation position?
  • Why does monday.com's visibility on ChatGPT fail to produce top-three recommendations?

The clearest opportunity for monday.com is converting its strong presence on ChatGPT into top-three recommendation placement. The brand appears in 58.93% of ChatGPT observations but holds a 0.00% top-three rate and a 0.00% rank-one rate on that platform. This represents a substantial gap between visibility and recommendation conversion on one of the most widely used AI surfaces. Closing this gap would require strengthening the evidence layer that ChatGPT retrieves when forming recommendations, particularly sources that position monday.com as a top-tier CRM option rather than a contextual mention.

Competitive Landscape

Questions This Section Answers

  • How does monday.com's top-three rate compare with Pipedrive and Salesforce Service Cloud?
  • What does monday.com's average recommended rank of 4.22 indicate about its placement?

Pipedrive and monday.com hold decisive recommendation-stage strength in the CRM Software category, with Salesforce Service Cloud trailing in third. monday.com sits second overall but shows a different recommendation profile than the leader, with a higher rank-one rate but a substantially lower top-three rate.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Pipedrive

20.45%

2.66%

3.22

0.7027

Salesforce Service Cloud

18.61%

10.43%

2.48

0.7511

monday.com

9.41%

3.27%

4.22

0.7114

Freshdesk

6.75%

0.82%

2.90

0.6617

Zoho Inventory

6.54%

1.43%

2.84

0.7463

HubSpot Live Chat

3.27%

2.04%

1.78

0.6486

Insightly

1.64%

0.00%

5.56

0.5050

Keap

1.02%

0.00%

5.73

0.4909

Microsoft SharePoint

0.20%

0.20%

1.00

0.6000

SugarCRM

0.00%

0.00%

7.10

0.3830

Average recommended rank covers rank-eligible recommendations only.

The table shows monday.com ranked third by top-three rate behind Pipedrive and Salesforce Service Cloud, with the strongest rank-one rate among the top two brands. Its average recommended rank of 4.22 trails both Pipedrive and Salesforce Service Cloud, indicating that when monday.com is recommended, it tends to appear lower in the list than its top competitors.

Prompt Evidence

Google AI Overviews / Brand Recommendation Prompt: "What is the best CRM software?" Result: monday.com appeared in 56.64% of qualified observations on this surface with strong positive framing and a 0.8961 net sentiment score.

ChatGPT / Brand Recommendation Prompt: "What are examples of CRM software?" Result: monday.com appeared in 58.93% of observations but held a 0.00% top-three rate, indicating presence without top recommendation placement.

Copilot / Brand Recommendation Prompt: "What is the best CRM software?" Result: monday.com held only 10.17% valid recommendation coverage, its weakest platform performance despite 37.29% presence.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the specific prompt clusters where monday.com appears but is not recommended in top-three positions, with emphasis on ChatGPT and Copilot surfaces.

Phase 2: Recommendation Readiness Plan Identify which comparison, feature, and use-case narratives are missing from the public evidence layer that AI systems retrieve when forming CRM recommendations.

Phase 3: Owned Answer Layer Buildout Develop owned content that directly answers high-intent CRM discovery prompts, positioning monday.com as a top-tier recommendation rather than a contextual mention.

Phase 4: Citation / Authority Layer Development Strengthen the backlink-supported evidence layer on third-party sources that ChatGPT and Copilot cite when recommending CRM software.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track monday.com's top-three rate and rank-one rate monthly across all six AI surfaces to measure whether the presence-to-recommendation gap is closing.

Why This Matters

AI-generated recommendations are becoming the first filter in CRM software buying decisions. When a buyer asks an AI assistant which CRM to use, the brands that appear in the top three recommendation slots capture the strongest consideration advantage. monday.com has built substantial presence across AI surfaces, but presence alone is not translating into top-three placement on key platforms like ChatGPT.

The next move for monday.com is targeted correction of the prompt, page, and citation layers that shape how AI systems position the brand. Closing the top-three gap with Pipedrive requires more than additional visibility; it requires building the specific evidence sources and answer content that lead AI systems to recommend monday.com as a top-tier choice in direct recommendation moments.

Core Metrics

Metric

Value

Mentions

298

Valid recommendations

183

Top 3 recommendation count

46

Rank #1 recommendation count

16

Average recommended rank

4.22

Positive mentions

212

Neutral mentions

86

Negative mentions

0

Raw mention presence rate

60.94%

Valid recommendation coverage

37.42%

Top 3 recommendation rate

9.41%

Rank #1 recommendation rate

3.27%

Net sentiment score

0.7114

Strongest cluster by recommendation behavior

Brand Recommendation

Strongest platform by recommendation behavior

Google AI Overviews

Sentiment Score

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

For monday.com, this calculation is (212 × 1 + 86 × 0 + 0 × -1) / 298, producing a net sentiment score of 0.7114.

This score matters because unclassified mention counts are misleading. A brand can appear frequently in AI responses but carry neutral or negative framing that does not translate into buyer consideration. Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, neutral reference, cautionary mention, and competitor-displaced mention are not equal in their commercial impact. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because it reveals whether a brand's presence is advancing consideration or merely filling context.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

33

15

18

0

0.4545

Present, but not recommendation-led

Copilot

22

10

12

0

0.4545

Present, but not recommendation-led

Gemini

40

31

9

0

0.7750

Strongest public recommendation signal

Perplexity

40

25

15

0

0.6250

Positive, but sample too small

AI Mode

86

62

24

0

0.7209

Strong recommendation signal

AI Overviews

77

69

8

0

0.8961

Strongest public recommendation signal

Methodology

  1. This report analyzes monday.com's AI recommendation visibility within the CRM Software vertical using the LLM Authority Index AI Market Discovery benchmark for September 2026.
  2. The reporting window is September 2026, with qualified observations collected from 800 total prompts run across the benchmark's defined AI/search surface universe.
  3. Six AI/search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.
  4. The qualified analysis set contains 489 observations that survived both qualification stages, drawn from 638 relevant prompts.
  5. The competitor universe includes 10 tracked brands: Pipedrive, monday.com, Salesforce Service Cloud, Freshdesk, Zoho Inventory, Insightly, Keap, HubSpot Live Chat, SugarCRM, and Microsoft SharePoint.
  6. All qualified observations in September 2026 fell into the Brand Recommendation cluster, which captures direct discovery and consideration behavior. No qualified observations were recorded in the Pricing & Value or Multi-Brand Comparison clusters.
  7. Stage 0 extraction captured prompt-level data including query, AI/search surface, answer, brand outcome, recommendation placement, sentiment, and citations where exposed.
  8. A mention is defined as any qualified observation in which the brand appears at all, whether recommended, mentioned, or discussed.
  9. A valid recommendation is defined as a qualified observation in which the brand appears in a recommendation context that meets the benchmark's quality criteria, including positive sentiment and clear recommendation intent.
  10. The tracked brand set changed between July and August 2026, with Zoho Expense and HubSpot Service Hub exiting and Zoho Inventory and HubSpot Live Chat entering. Movements tied to that rotation should be read as tracking changes rather than pure performance shifts.
  11. Small-count brands such as Microsoft SharePoint, SugarCRM, and HubSpot Live Chat show meaningful directional signals but require caution in interpretation given the small number of underlying observations.
  12. This public benchmark does not measure market share, attributable sales, organic-search ranking positions, social media mention volume, private or sponsored channels, or causality from metric movements alone.

Get Your AI Visibility Audit

The public benchmark shows where monday.com is winning and losing in AI-generated recommendations, but it does not reveal the mechanics beneath the numbers. A company-specific AI visibility audit maps the prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. It answers which high-intent prompts monday.com is winning or losing, which competitors capture its lost recommendations, and which external sources shape AI answers about the brand.

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Understanding AI search visibility.

AI search experiences create answers by pulling information from many places online and summarizing it into a single response.

What Is AI Citation Intelligence?
AI citation intelligence is the process of measuring where AI platforms source their information and how frequently a brand is mentioned or referenced in AI-generated responses. Because LLMs synthesize across multiple sources, the sites and brands that appear repeatedly tend to influence how a topic or company is framed. This practice focuses on identifying which sources shape AI outputs and tracking brand visibility across different AI systems.
What Is Citation Architecture?
Citation architecture describes the set of sources that consistently inform how AI systems talk about a brand, product, or topic. LLMs draw from websites, articles, forums, and public discussion, and the sources they rely on most often become the backbone of their answers. Building strong citation architecture means ensuring that accurate, credible, high authority sources are the ones most likely to shape the way AI tools summarize and recommend a brand.
What Is Generative Engine Optimization?
Generative engine optimization (GEO) is the practice of improving the chances that AI systems use and cite your brand or content when generating answers. While traditional SEO is centered on ranking pages in search results, GEO focuses on how LLMs retrieve, interpret, and combine information when responding to a question. The objective is to strengthen the content and sources AI systems rely on, so your brand is treated as a trusted reference in AI responses.
What Is AI Share of Voice?
AI share of voice tracks how often a brand appears in AI-generated answers compared with competitors in the same category. It reflects visibility across AI platforms such as ChatGPT, Gemini, Claude, and Perplexity. Monitoring AI share of voice helps organizations see whether AI systems consistently include and recommend their brand for key queries or whether competitor brands are showing up more often.

About The Author

Mark Huntley

Mark Huntley

Founder and CEO

Mark Huntley, J.D. is founder of CiteWorks Studio, a strategic advisory focused on visibility, authority, and recommendation presence in AI-shaped search environments. His work centers on embedding-level GEO, vector optimization, and cosine gap engineering — helping brands align their digital presence with the retrieval systems that increasingly shape discovery, interpretation, and choice.

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