How ChatGPT Recommends Ashby

Across 100 applicant tracking software questions, Ashby appeared in 36 answers (rank 4 among all brands named), was recommended in 34 (rank 4) and was ChatGPT's own pick in 30 (rank 3). That is a pick rate of 83% of its appearances, close to the 12-brand median of 76.5% for brands named 10 or more times in this teardown.

When ChatGPT picked Ashby, it named it first among the brands it picked in 11 of those 30 answers. On the 20 direct advice questions ("which should I use"), ChatGPT picked it in 10 and recommended it in 10.

These are the labels ChatGPT attached to Ashby in its applicant tracking software answers, taken from "best for" table columns and scenario lists and quoted as written. We found 29 such labels for Ashby in this category; the most frequent are below.

• "20-100 employees, actively hiring"
• "100+ employees / dedicated recruiting team"
• "High-growth / tech companies"
• "Data-heavy / high-growth teams"
• "Analytics and recruiting operations are a major priority"
• "Growth-stage / tech companies"

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.

In 5 head-to-head applicant tracking software questions that named Ashby against at least one competitor, ChatGPT picked both Ashby and at least one named rival in 5, only Ashby in 0, and only a rival in 0. In every one of them ChatGPT made both Ashby and a rival its picks instead of declaring a single winner.

To see what ChatGPT suggests instead of Ashby, we asked 1 question about alternatives to it ("ashby alternatives").

That answer did not make a brand from our category dictionary its own pick. The brands it recommended:

• Greenhouse
• JazzHR
• Lever
• Pinpoint
• Recruitee
• SmartRecruiters
• Teamtailor
• Workable

The 30 applicant tracking software answers in which ChatGPT picked Ashby carried 84 source citations in total. The most-cited domains in those answers:

• lever.co (vendor site): 16
• ashbyhq.com (vendor site): 10
• greenhouse.com (vendor site): 8
• yardstick.team (other third party): 7
• workable.com (vendor site): 6
• hireduce.cloud (other third party): 3

Across all 34 answers that recommended Ashby, picked or not, there were 97 citations.

Ashby's own site (ashbyhq.com) was cited 12 times across all 100 answers in the category, in 12 different answers.

Google check: for 4 of the 30 questions where ChatGPT picked Ashby, ashbyhq.com also ranked in Google's top ten organic results for the same question. So most of these picks came on questions where its own site did not rank.

These are the brands ChatGPT named alongside Ashby most often in applicant tracking 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.

• Greenhouse: in 30 of Ashby's 36 answers, picked in 26
• Lever: in 28 of Ashby's 36 answers, picked in 19
• Workable: in 28 of Ashby's 36 answers, picked in 23
• Breezy HR: in 10 of Ashby's 36 answers, picked in 7
• JazzHR: in 8 of Ashby's 36 answers, picked in 5

Ashby is one of the three applicant tracking software brands ChatGPT picks most often: its own pick in 30 of 100 answers, named first among the brands it picked in 11 of them. For a brand this close to the top the risk is the framing more than the visibility. The labels ChatGPT attaches decide which buyers it sends to Ashby and which it sends to Greenhouse.

In the answers that picked Ashby, third-party pages such as yardstick.team (7 citations) and hireduce.cloud (3 citations) were among the most-cited sources. ashbyhq.com was cited 12 times across the whole category.

In 26 of the 30 answers that picked Ashby, ashbyhq.com 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 Ashby comes from Teardown 09: applicant tracking 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. Corrected October 23, 2026: Google answered some automated searches in late September with swapped results pages full of the wrong sites, so where the page collected on September 26 was swapped, the check now uses Google's page for the same question on October 23, 2026.

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.

These FAQs cover the questions this page can answer about Ashby in ChatGPT, all in one place.

Does ChatGPT recommend Ashby?

In our applicant tracking software teardown (web search on, United States, September 26, 2026), ChatGPT named Ashby in 36 of 100 buyer questions, recommended it in 34 and made it its own pick in 30.

What does ChatGPT say Ashby is best for?

The label ChatGPT used most often for Ashby was "20-100 employees, actively hiring". Other labels included "100+ employees / dedicated recruiting team", "High-growth / tech companies", and "Data-heavy / high-growth teams".

Which brands does ChatGPT compare Ashby with?

In applicant tracking software answers, the brands ChatGPT named most often alongside Ashby were Greenhouse, Lever, Workable, and Breezy HR.

To see how ChatGPT describes your brand, as shown for Ashby 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.