How ChatGPT Recommends Linear

Across 100 project management software questions, Linear appeared in 21 answers (rank 7 among all brands named), was recommended in 21 (rank 7) and was ChatGPT's own pick in 20 (rank 7). That is a pick rate of 95% of its appearances, close to the 11-brand median of 89% for brands named 10 or more times in this teardown.

When ChatGPT picked Linear, it named it first among the brands it picked in 5 of those 20 answers. On the 20 direct advice questions ("which should I use"), ChatGPT picked it in 5 and recommended it in 5.

These are the labels ChatGPT attached to Linear in its project management software answers, taken from "best for" table columns and scenario lists and quoted as written. We found 27 such labels for Linear in this category; the most frequent are below.

• "Software/product teams" (5 answers)
• "Modern product/engineering teams" (3 answers)
• "Product/engineering startups" (2 answers)
• "Software teams"
• "Software/product team"
• "5-20 engineers"

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.

The 20 project management software answers in which ChatGPT picked Linear carried 73 source citations in total. The most-cited domains in those answers:

• clickup.com (vendor site): 11
• asana.com (vendor site): 8
• linear.app (vendor site): 7
• atlassian.com (vendor site): 6
• trello.com (vendor site): 4
• monday.com (vendor site): 3

Across all 21 answers that recommended Linear, picked or not, there were 77 citations.

Linear's own site (linear.app) was cited 7 times across all 100 answers in the category, in 7 different answers.

Google check: for 0 of the 20 questions where ChatGPT picked Linear, linear.app also ranked in Google's top ten organic results for the same question. So every one of these picks came on a question where its own site did not rank.

These are the brands ChatGPT named alongside Linear most often in project management software answers, and in how many of those answers ChatGPT picked them. This is the competitive set ChatGPT has built for it, which is not always the one a vendor would choose.

• Asana: in 17 of Linear's 21 answers, picked in 17
• ClickUp: in 16 of Linear's 21 answers, picked in 15
• Jira: in 14 of Linear's 21 answers, picked in 13
• Trello: in 13 of Linear's 21 answers, picked in 10
• monday.com: in 13 of Linear's 21 answers, picked in 13

Linear is on ChatGPT's project management software shortlist but is not one of its top three picks: it was recommended in 21 answers and picked in 20, against 70 picks for Asana, the most-picked brand. Its weakest showing is on direct advice questions, where ChatGPT picked it in 5 of 20.

In all 20 answers that picked Linear, linear.app did not rank in Google's top ten for the same question, so Google rankings alone do not explain where ChatGPT sends buyers.

The ChatGPT data on Linear comes from 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.

Every answer was coded under codebook v2.0 by two independent AI readers working blind from the published reader protocol. Each reader coded every brand mention as picked, recommended, listed, passing or anchor; where the two disagreed, a third AI reader settled the code. Across all answers coded under v2.0, the two readers agreed on 97.8% of brand codes.

"Picked" means the answer made the brand its own verdict: "my pick", "choose X if", a shortlist it tells the buyer to act on, the #1 of its ranking, or the direct answer to a "which should I use" question. "Recommended" means the answer assigned the brand to a stated case or fit ("best for small teams") or picked it, so every picked brand also counts as recommended. "Appeared" counts answers where the brand was recommended or listed. Every count is a count of answers. 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 hello@highsalience.com and we will check it against the dataset.

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

Each of these FAQs about Linear in ChatGPT draws on the same coded data as the rest of this page.

Does ChatGPT recommend Linear?

In our project management software teardown (web search on, United States, September 8, 2026), ChatGPT named Linear in 21 of 100 buyer questions, recommended it in 21 and made it its own pick in 20.

What does ChatGPT say Linear is best for?

The label ChatGPT used most often for Linear was "Software/product teams". Other labels included "Modern product/engineering teams", "Product/engineering startups", and "Software teams".

Which brands does ChatGPT compare Linear with?

In project management software answers, the brands ChatGPT named most often alongside Linear were Asana, ClickUp, Jira, Trello, and monday.com.

To see how ChatGPT describes your brand, as shown for Linear on this page, start with the Category Salience Brief. It 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.