HIGH SALIENCE / RESEARCH / BRANDS / TEAMWORK

BRAND DATA · PROJECT MANAGEMENT · CHATGPT, SEPTEMBER 2026

How ChatGPT Recommends Teamwork

We asked ChatGPT 100 buyer questions about project management software, with web search on, and coded every answer. ChatGPT positions Teamwork for a specific buyer: the label it used most was "Client-service agencies". This page shows who ChatGPT says Teamwork is for, how it does in head-to-head questions, which sources sit behind its recommendations and which brands ChatGPT names alongside it.

16/100
answers naming it
13
answers recommending it
81%
of appearances recommended
7
times listed first when recommended

BY MIKE HAWLEY, FOUNDER · PUBLISHED SEPTEMBER 26, 2026

01The Numbers

How often ChatGPT names and recommends Teamwork

Question typeQuestionsTeamwork appearedTeamwork recommended
Category ("best X software")3054
Head-to-head ("X vs Y")3011
Alternatives ("X alternatives")2064
Advice ("which X should I use")2044
All questions1001613

Across 100 project management software questions, Teamwork appeared in 16 answers (rank 10 of every brand named) and was recommended in 13 (rank 8). That is a recommendation rate of 81% of its appearances, above the 11-brand median of 73% for brands named 10 or more times.

When ChatGPT recommended Teamwork, it listed it first among its recommendations in 7 of 13 answers. On the 20 direct advice questions ("which should I use"), it was one of the picks 4 times.

02Positioning

Who ChatGPT says Teamwork is for

These are the labels ChatGPT attached to Teamwork in "best for" table columns and scenario lists, quoted as written. We found 24 such labels for Teamwork in this category; the most frequent are below.

  • "Client-service agencies" (4 answers)
  • "Agencies & client projects" (2 answers)
  • "Most agencies"
  • "Consulting firms & billable client work"
  • "Agencies"
  • "Client services/agencies"

If this is not how you describe your product, that gap is the first thing to fix: AI answers repeat the positioning they find most often across the sources they read.

03Head to Head

Teamwork in head-to-head questions

Teamwork was named in 1 comparison question. ChatGPT recommended Teamwork and at least one named rival in 1, only Teamwork in 0, and only a rival in 0. In most of them ChatGPT gave each option a different buyer instead of declaring a winner.

QuestionRival namedTeamworkRival recommended
teamwork vs asanaAsanaRecommendedAsana

04Sources

The sources behind Teamwork's recommendations

The 13 answers that recommended Teamwork carried 48 source citations in total. The most-cited domains in those answers:

  • clickup.com (vendor site): 8
  • teamwork.com (vendor site): 7
  • asana.com (vendor site): 5
  • monday.com (vendor site): 5
  • thedigitalprojectmanager.com (review or media): 4
  • g2.com (review or media): 3

Teamwork's own site (teamwork.com) was cited 7 times across all 100 answers in the category, in 7 different answers.

Google check: for 8 of the 13 questions where ChatGPT recommended Teamwork, teamwork.com also ranked in Google's top ten organic results for the same question. So its Google rankings and its ChatGPT recommendations mostly overlap.

05Competitive Set

Who ChatGPT names alongside Teamwork

The brands that appeared most often in the same answers as Teamwork. This is the competitive set ChatGPT has built for it, which is not always the one a vendor would choose.

  • Asana: in 15 of Teamwork's 16 answers
  • ClickUp: in 14 of Teamwork's 16 answers
  • monday.com: in 12 of Teamwork's 16 answers
  • Wrike: in 7 of Teamwork's 16 answers
  • Notion: in 7 of Teamwork's 16 answers

06What It Means

What this means for Teamwork

Teamwork is on ChatGPT's project management software shortlist but is not the default: it was recommended in 13 answers against 68 for Asana. The gap is widest on "best X" category questions, where it was recommended in 4 of 30.

In the answers that recommended Teamwork, third-party pages such as thedigitalprojectmanager.com and g2.com carried much of the description, alongside 7 citations of teamwork.com across the category.

Finding which sources shape the answer in a category, and making sure they describe the brand accurately, is the core of AI SEO.

07Method

Where these numbers come from

Source: Teardown 01: project management software. Each teardown runs 100 buyer questions (category, head-to-head, alternatives and advice phrasing) through ChatGPT with web search on, logged out, United States, English, one run per question, and codes every brand mention as recommended, listed, passing or anchor using the published codebook.

"Appeared" counts answers where the brand was recommended or listed. "Recommended" means the answer endorsed it for at least one use. Use-case labels are quoted from the answers as written. Google checks use the top ten organic results for the same question collected the same day.

Limits: one run per question, one country, one point in time. AI answers vary between runs, so treat these as frequencies for this sample, not fixed positions. High Salience has no commercial relationship with any brand on this page. If you work for this brand and see an error, write to info@highsalience.com and we will check it against the dataset.

Full per-answer datasets (CSV) are on each teardown page. All brand pages.

08FAQs

Frequently asked questions

Does ChatGPT recommend Teamwork?

In our project management software teardown (web search on, United States, September 8, 2026), ChatGPT named Teamwork in 16 of 100 buyer questions and recommended it in 13.

What does ChatGPT say Teamwork is best for?

The label ChatGPT used most often for Teamwork was "Client-service agencies". Other labels included "Agencies & client projects", "Most agencies", "Consulting firms & billable client work".

Which brands does ChatGPT compare Teamwork with?

In project management software answers, Teamwork appeared most often alongside Asana, ClickUp, monday.com, Wrike.

09Next Step

See how ChatGPT describes your brand.

The Category Salience Brief runs your category's buyer questions across Google and the AI surfaces, shows how each answer positions you against competitors, and ranks what to fix first.