How ChatGPT Recommends Ashby

Across 100 applicant tracking software questions, Ashby appeared in 38 answers (rank 4 of every brand named) and was recommended in 23 (rank 3). That is a recommendation rate of 61% of its appearances, close to the 13-brand median of 60% for brands named 10 or more times.

When ChatGPT recommended Ashby, it listed it first among its recommendations in 10 of 23 answers. On the 20 direct advice questions ("which should I use"), it was one of the picks 10 times.

These are the labels ChatGPT attached to Ashby in "best for" table columns and scenario lists, 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.

Ashby was named in 5 comparison questions. ChatGPT recommended Ashby and at least one named rival in 3, only Ashby in 1, and only a rival in 0. In most of them ChatGPT gave each option a different buyer instead of declaring a winner.

We asked 1 question about alternatives to Ashby ("ashby alternatives").

None of the answers recommended a brand from our category dictionary; they pointed to niche or out-of-category tools instead.

The 23 answers that recommended Ashby carried 61 source citations in total. The most-cited domains in those answers:

• lever.co (vendor site): 11
• ashbyhq.com (vendor site): 8
• greenhouse.com (vendor site): 5
• yardstick.team (other third party): 5
• workable.com (vendor site): 3
• relioengine.com (other third party): 3

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

Google check: for 3 of the 23 questions where ChatGPT recommended Ashby, ashbyhq.com also ranked in Google's top ten organic results for the same question. So most of these recommendations came on questions where its own site did not rank.

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

• Greenhouse: in 33 of Ashby's 38 answers
• Lever: in 30 of Ashby's 38 answers
• Workable: in 29 of Ashby's 38 answers
• BambooHR: in 13 of Ashby's 38 answers
• JazzHR: in 12 of Ashby's 38 answers

Ashby is one of ChatGPT's defaults for applicant tracking software: recommended in 23 of 100 answers and listed first in 10 of them. For a default 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 recommended Ashby, third-party pages such as yardstick.team and relioengine.com carried much of the description, alongside 12 citations of ashbyhq.com across the category.

In 20 of its 23 recommendations, 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.

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

Source: 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, 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.

Does ChatGPT recommend Ashby?

In our applicant tracking software teardown (web search on, United States, September 26, 2026), ChatGPT named Ashby in 38 of 100 buyer questions and recommended it in 23.

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", "Data-heavy / high-growth teams".

Which brands does ChatGPT compare Ashby with?

In applicant tracking software answers, Ashby appeared most often alongside Greenhouse, Lever, Workable, BambooHR.

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.