AI Work Collaboration Platforms AI Visibility Ranking Trends - November 2026

Answer capsule

The November 2026 AI Work Collaboration Platforms benchmark compares 12 companies across 580 AI answers that met its inclusion rules. Asana leads with 226 recommendations (38.97% of answers). At least one tracked company was recommended in 259 answers; some answers recommended several companies.

The rankings distinguish being mentioned from receiving an affirmative recommendation, then examine placement and the wording used about each company. Earlier monthly results show how counts and rates changed, with each month using its own answer total. These results describe the answers reviewed, not product quality or customer satisfaction. Differences between monthly samples limit comparisons and do not establish why a result changed.

For the strategic interpretation of this benchmark, read CiteWorks Studio's analysis of How AI Search Is Recommending AI Work Collaboration Platforms

Industry leaderboard

Questions This Section Answers

• How do AI Work Collaboration Platforms rank by recorded AI recommendations in November 2026?

The leaderboard orders companies by how many answers affirmatively recommended them, not by how often they appeared. A company can be mentioned widely yet recommended rarely, so mention counts and recommendation counts answer different questions.

Ties are decided by equal recommendation counts, not by framing or placement. Top-three and first-place placements sit inside the recommendation total rather than beside it, so they refine where a recommendation landed rather than adding separate wins.

Key findings

Tracked-company answer coverage

Questions This Section Answers

• How often did the November 2026 AI Work Collaboration Platforms answer sample recommend any tracked company?

259 distinct answers recommended at least one tracked company. Counting each company recommendation separately gives 842, because an answer can recommend several companies. Answers with no tracked recommendation may still have recommended companies outside this comparison.

Every included answer mentioned at least one tracked company, but fewer than half recommended one. Because a single answer can recommend several companies, company-level recommendation totals exceed the number of answers carrying any recommendation.

Answers without a tracked recommendation are not empty of advice; they may have named companies outside this comparison. Coverage therefore describes the reach of the tracked set within these answers, not overall market dominance.

Reach and affirmative recommendation

Asana ranks 1 by recommendation count. Mentions: 552 (95.17%); recommendations: 226 (38.97%). Top 3 placements: 129 (22.24%); first-place placements: 49 (8.45%).

Wording about the company: 239 positive, 313 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 40.9%. The net framing score was 0.43 (defined in Methodology).

326 mentions had no recorded recommendation. Of recorded recommendations, 57.08% were Top 3 and 21.68% were first-place.

Mention measures appearance: the company was named in the answer. Recommendation requires an affirmative endorsement, so a mention can occur without one, and most of Asana's mentions carried no recorded recommendation.

A high mention rate paired with a lower recommendation rate shows reach exceeding endorsement in these answers. Neither figure describes customers, sales or conversion, and the gap between them is a wording pattern, not a verdict on the company.

Recommendation order and placement

Placement describes where a recommended company appeared in the answer's ordering. Top-three and first-place counts are nested within recommendations, so they should be read as refinements of the recommendation total rather than as additional endorsements.

Recommendation-to-mention ratios vary widely across companies, and a strong ratio on a small base is less stable than one on a large base. These ratios describe recorded answer wording, not customer behavior.

Classified framing in context

Framing classifies the wording surrounding a mention as positive, neutral or negative. Neutral wording dominates for most companies here, and negative mentions are rare or absent, so a positive count does not by itself explain why a recommendation was or was not recorded.

Net framing summarizes tone across mentions on a bounded scale. It is not customer sentiment, product quality or evidence of source influence, and it should not be read as a cause of recommendation differences.

Company results in detail

Asana

Questions This Section Answers

• What do the November 2026 AI answer results show about Asana mentions, recommendations and placement?

Asana ranks 1 by recommendation count. Mentions: 552 (95.17%); recommendations: 226 (38.97%). Top 3 placements: 129 (22.24%); first-place placements: 49 (8.45%).

Wording about the company: 239 positive, 313 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 40.9%. The net framing score was 0.43 (defined in Methodology).

326 mentions had no recorded recommendation. Of recorded recommendations, 57.08% were Top 3 and 21.68% were first-place.

From October 2026 to November 2026, Asana's mention count rose from 545 to 552, while its recommendation count fell from 427 to 226. The recommendation rate was 73.37% and 38.97% respectively.

Asana leads on recommendation count while appearing in nearly every answer, giving it the broadest reach in the tracked set. Its recommendation-to-mention ratio is moderate, so many appearances carried no endorsement.

Framing is mostly neutral with no negative mentions. Between the two months, mentions rose slightly while recommendations fell sharply; the changed rate is a recorded comparison, and the separate samples do not establish why.

ClickUp

Questions This Section Answers

• What do the November 2026 AI answer results show about ClickUp mentions, recommendations and placement?

ClickUp ranks 2 by recommendation count. Mentions: 518 (89.31%); recommendations: 223 (38.45%). Top 3 placements: 134 (23.10%); first-place placements: 56 (9.66%).

Wording about the company: 238 positive, 279 neutral, 1 negative mentions. The proportion of mentions that also included a recommendation was 43.1%. The net framing score was 0.46 (defined in Methodology).

295 mentions had no recorded recommendation. Of recorded recommendations, 60.09% were Top 3 and 25.11% were first-place.

From October 2026 to November 2026, ClickUp's mention count rose from 490 to 518, while its recommendation count fell from 419 to 223. The recommendation rate was 71.99% and 38.45% respectively.

ClickUp sits just behind Asana on recommendations with a slightly higher recommendation-to-mention ratio, and it records the most top-three and first-place placements of any tracked company. Its framing is overwhelmingly neutral with a single negative mention.

Mentions rose between the two months while recommendations fell substantially. That shift is a recorded comparison across separate samples, not evidence of a cause or a change in standing.

Wrike

Questions This Section Answers

• What do the November 2026 AI answer results show about Wrike mentions, recommendations and placement?

Wrike ranks 3 by recommendation count. Mentions: 299 (51.55%); recommendations: 122 (21.03%). Top 3 placements: 34 (5.86%); first-place placements: 13 (2.24%).

Wording about the company: 128 positive, 171 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 40.8%. The net framing score was 0.43 (defined in Methodology).

177 mentions had no recorded recommendation. Of recorded recommendations, 27.87% were Top 3 and 10.66% were first-place.

From October 2026 to November 2026, Wrike's mention count rose from 286 to 299, while its recommendation count fell from 228 to 122. The recommendation rate was 39.18% and 21.03% respectively.

Wrike holds third place with roughly half the recommendation count of the two leaders and a mention rate near half of answers. Its recommendation-to-mention ratio is close to Asana's, and its placements are a modest share of its recommendations.

Framing is positive or neutral with no negatives. Mentions rose slightly while recommendations fell between the two months; the samples differ, so the change is reported without explanation.

Slack

Questions This Section Answers

• What do the November 2026 AI answer results show about Slack mentions, recommendations and placement?

Slack ranks 4 by recommendation count. Mentions: 333 (57.41%); recommendations: 71 (12.24%). Top 3 placements: 36 (6.21%); first-place placements: 31 (5.34%).

Wording about the company: 77 positive, 256 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 21.3%. The net framing score was 0.23 (defined in Methodology).

262 mentions had no recorded recommendation. Of recorded recommendations, 50.70% were Top 3 and 43.66% were first-place.

From October 2026 to November 2026, Slack's mention count fell from 382 to 333, while its recommendation count fell from 177 to 71. The recommendation rate was 30.41% and 12.24% respectively.

Slack is mentioned in more than half of answers but recommended in far fewer, giving it a low recommendation-to-mention ratio. Among its recommendations, a large share are first-place, so when endorsed it tends to land near the top.

Framing is mostly neutral with no negatives. Both mentions and recommendations fell between the two months, and the separate samples do not establish why either moved.

Miro

Questions This Section Answers

• What do the November 2026 AI answer results show about Miro mentions, recommendations and placement?

Miro ranks 5 by recommendation count. Mentions: 178 (30.69%); recommendations: 59 (10.17%). Top 3 placements: 18 (3.10%); first-place placements: 9 (1.55%).

Wording about the company: 64 positive, 114 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 33.1%. The net framing score was 0.36 (defined in Methodology).

119 mentions had no recorded recommendation. Of recorded recommendations, 30.51% were Top 3 and 15.25% were first-place.

From October 2026 to November 2026, Miro's mention count fell from 243 to 178, while its recommendation count fell from 172 to 59. The recommendation rate was 29.55% and 10.17% respectively.

Miro appears in under a third of answers and is recommended in about a tenth, with a recommendation-to-mention ratio in the middle of the field. Its placements are a modest portion of its recommendations.

Framing is largely neutral with no negative mentions. Mentions and recommendations both fell between the two months; that comparison spans separate samples and does not show a cause or a loss of standing.

Airtable

Questions This Section Answers

• What do the November 2026 AI answer results show about Airtable mentions, recommendations and placement?

Airtable ranks 6 by recommendation count. Mentions: 180 (31.03%); recommendations: 54 (9.31%). Top 3 placements: 15 (2.59%); first-place placements: 6 (1.03%).

Wording about the company: 56 positive, 124 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 30.0%. The net framing score was 0.31 (defined in Methodology).

126 mentions had no recorded recommendation. Of recorded recommendations, 27.78% were Top 3 and 11.11% were first-place.

From October 2026 to November 2026, Airtable's mention count rose from 123 to 180, while its recommendation count fell from 89 to 54. The recommendation rate was 15.29% and 9.31% respectively.

Airtable's mention rate is close to Miro's, but its recommendation count and ratio are somewhat lower, placing it sixth. Placements form a small share of its recommendations.

Framing is mostly neutral with no negatives. Mentions rose between the two months while recommendations fell, so the two measures moved in opposite directions; the samples differ and the reason is not established.

Teamwork.com

Questions This Section Answers

• What do the November 2026 AI answer results show about Teamwork.com mentions, recommendations and placement?

Teamwork.com ranks 7 by recommendation count. Mentions: 128 (22.07%); recommendations: 46 (7.93%). Top 3 placements: 10 (1.72%); first-place placements: 4 (0.69%).

Wording about the company: 50 positive, 78 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 35.9%. The net framing score was 0.39 (defined in Methodology).

82 mentions had no recorded recommendation. Of recorded recommendations, 21.74% were Top 3 and 8.70% were first-place.

From October 2026 to November 2026, Teamwork.com's mention count rose from 84 to 128, while its recommendation count fell from 52 to 46. The recommendation rate was 8.93% and 7.93% respectively.

Teamwork.com reaches roughly a fifth of answers and is recommended in under a tenth, with a recommendation-to-mention ratio above several larger companies. Its placements are a small fraction of its recommendations.

Framing is positive or neutral with no negatives. Mentions rose while recommendations fell slightly between the two months, a recorded comparison across separate samples that does not establish causation.

Atlassian

Questions This Section Answers

• What do the November 2026 AI answer results show about Atlassian mentions, recommendations and placement?

Atlassian ranks 8 by recommendation count. Mentions: 172 (29.66%); recommendations: 27 (4.66%). Top 3 placements: 10 (1.72%); first-place placements: 3 (0.52%).

Wording about the company: 29 positive, 143 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 15.7%. The net framing score was 0.17 (defined in Methodology).

145 mentions had no recorded recommendation. Of recorded recommendations, 37.04% were Top 3 and 11.11% were first-place.

From October 2026 to November 2026, Atlassian's mention count rose from 171 to 172, while its recommendation count fell from 98 to 27. The recommendation rate was 16.84% and 4.66% respectively.

Atlassian is mentioned in nearly a third of answers but recommended in few, giving it one of the lowest recommendation-to-mention ratios in the tracked set. Its placements are a modest share of those recommendations.

Framing is heavily neutral with no negatives. Mentions were nearly flat between the two months while recommendations fell sharply; the changed rate is reported as recorded, and the separate samples do not explain it.

Productboard

Questions This Section Answers

• What do the November 2026 AI answer results show about Productboard mentions, recommendations and placement?

Productboard ranks 9 by recommendation count. Mentions: 21 (3.62%); recommendations: 7 (1.21%). Top 3 placements: 5 (0.86%); first-place placements: 3 (0.52%).

Wording about the company: 8 positive, 13 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 33.3%. The net framing score was 0.38 (defined in Methodology).

14 mentions had no recorded recommendation. Of recorded recommendations, 71.43% were Top 3 and 42.86% were first-place.

From October 2026 to November 2026, Productboard's mention count fell from 32 to 21, while its recommendation count fell from 23 to 7. The recommendation rate was 3.95% and 1.21% respectively.

Productboard appears in few answers and is recommended in fewer still, placing it ninth. Its recommendation-to-mention ratio is comparable to larger companies, but the small base makes that ratio less stable and it should be read with caution.

Framing is positive or neutral with no negatives. Mentions and recommendations both fell between the two months; the samples differ and no cause is inferred.

Discord

Questions This Section Answers

• What do the November 2026 AI answer results show about Discord mentions, recommendations and placement?

Discord ranks 10 by recommendation count. Mentions: 42 (7.24%); recommendations: 4 (0.69%). Top 3 placements: 2 (0.34%); first-place placements: 0 (0.00%).

Wording about the company: 4 positive, 38 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 9.5%. The net framing score was 0.10 (defined in Methodology).

38 mentions had no recorded recommendation. Of recorded recommendations, 50.00% were Top 3 and 0.00% were first-place.

From October 2026 to November 2026, Discord's mention count rose from 36 to 42, while its recommendation count fell from 20 to 4. The recommendation rate was 3.44% and 0.69% respectively.

Discord is mentioned in a small share of answers and recommended in very few, giving it a low recommendation-to-mention ratio. Its placements are minimal, and it records no first-place results in this month.

Framing is almost entirely neutral with no negatives. Mentions rose slightly while recommendations fell between the two months; that comparison spans separate samples and does not establish why.

Coda

Questions This Section Answers

• What do the November 2026 AI answer results show about Coda mentions, recommendations and placement?

Coda ranks 11 by recommendation count. Mentions: 27 (4.66%); recommendations: 2 (0.34%). Top 3 placements: 1 (0.17%); first-place placements: 1 (0.17%).

Wording about the company: 3 positive, 24 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 7.4%. The net framing score was 0.11 (defined in Methodology).

25 mentions had no recorded recommendation. Of recorded recommendations, 50.00% were Top 3 and 50.00% were first-place.

From October 2026 to November 2026, Coda's mention count rose from 23 to 27, while its recommendation count fell from 13 to 2. The recommendation rate was 2.23% and 0.34% respectively.

Coda appears in few answers and is recommended in only a handful, placing it eleventh. Its recommendation-to-mention ratio is low, and its placements are a tiny fraction of recommendations.

Framing is mostly neutral with no negatives. Mentions rose slightly while recommendations fell between the two months; the separate samples do not establish a cause, and the small counts limit interpretation.

Cisco Webex App

Questions This Section Answers

• What do the November 2026 AI answer results show about Cisco Webex App mentions, recommendations and placement?

Cisco Webex App ranks 12 by recommendation count. Mentions: 12 (2.07%); recommendations: 1 (0.17%). Top 3 placements: 0 (0.00%); first-place placements: 0 (0.00%).

Wording about the company: 2 positive, 10 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 8.3%. The net framing score was 0.17 (defined in Methodology).

11 mentions had no recorded recommendation. Of recorded recommendations, 0.00% were Top 3 and 0.00% were first-place.

From October 2026 to November 2026, Cisco Webex App's mention count rose from 7 to 12, while its recommendation count stayed at 1. The recommendation rate was 0.17% and 0.17% respectively.

Cisco Webex App appears in a modest share of recorded answers, and its recommendation count is far smaller than its mention count. Most appearances carried neutral wording, with a few positive and no negative descriptions. Placement counts are observed values: no shortlist or first-place positions were recorded, so those counts are zero rather than unavailable.

Because recommendations are so few, the recommendation-to-mention ratio rests on a sparse base and should be read as a description of these answers, not as a stable measure. Between the two months, mentions increased while recommendations held steady; the samples are separate, so the comparison does not establish why either count moved.

Earlier ranking snapshot context

Questions This Section Answers

• How do the available AI Work Collaboration Platforms snapshots from July 2026 to November 2026 differ in recommendation coverage and measurement scope?

Only months with verified results are shown. Monthly sample coverage is listed in Methodology.

Each month is a separate sample of AI answers, and the number of included answers differs slightly across months. Counts and rates should be read together, since a rate depends on both the recommendation count and the answer total.

Rank positions across months describe those selected samples only. They do not establish rank stability, equivalent sampling or the reasons behind any movement.

What the November Rankings Show

These measures answer different questions. Reach asks whether a company was named at all; recommendation asks whether the answer affirmatively endorsed it; placement asks where an endorsement landed; framing asks how the wording read. A company can be strong on one and weak on another.

Reading them together shows that broad appearance does not guarantee endorsement, and endorsement does not guarantee a top position. The figures describe recorded AI answers, not customers, sales or product quality, and they do not explain why any pattern occurred.

Methodology

Questions This Section Answers

• How were the November 2026 AI Work Collaboration Platforms AI visibility measures counted, and what do they not establish?

This benchmark has partial coverage: 3 of 3 planned question categories contributed usable observations; 0 contributed none. This describes question-category coverage, not demonstrated platform outages. Findings apply to the available answer set.

The month in the title is the reporting period. The exact dates when the original AI answers were collected have not been verified.

Each company is counted at most once in each answer that meets the benchmark rules. A recommendation requires both an affirmative endorsement and positive wording. Mention, recommendation, Top 3 and first-place rates use the full benchmark answer total. Top 3 and first-place results are included within recommendations, not added to them.

The recommendation-to-mention ratio divides recommendations by mentions. It describes AI answer wording, not customer conversion. Net framing is positive minus negative mentions, divided by all mentions, on a scale from -1 to +1. It does not measure customer satisfaction or company quality.

Market: US; 12 tracked companies. AI services represented: ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity.

Research screening totals (answer observations can include repeated questions):

The source does not provide a reader-facing definition of “reserved”; that screening label is reported without inferring a reason for exclusion. Only the included benchmark answers form the rate denominator.

One answer can mention or recommend several companies. Adding company totals would therefore count some answers more than once. The results describe the AI answers reviewed, not independently verified facts about the companies or their products.

Monthly sample coverage:

The answer samples differ between months. These comparisons show how the recorded results changed; they do not establish why they changed.

Coverage is partial: only some question categories contributed usable observations, and findings apply to the available answer set. The reporting month labels the period, but exact collection dates were not verified.

Each company is counted at most once per answer. Recommendation requires both affirmative endorsement and positive wording, and top-three and first-place results are nested within recommendations. Rates use the full benchmark answer total, and one answer can cover several companies, so company totals should not be summed. Monthly samples differ, and comparisons show recorded change without establishing why it occurred.