How ChatGPT Recommends Ubersuggest

Across 100 SEO tool questions, Ubersuggest appeared in 15 answers (tied for rank 7 among all brands named), was recommended in 15 (tied for rank 6) and was ChatGPT's own pick in 13 (rank 6). That is a pick rate of 87% of its appearances, close to the 9-brand median of 87% for brands named 10 or more times in this teardown.

When ChatGPT picked Ubersuggest, it named it first among the brands it picked in 4 of those 13 answers. On the 20 direct advice questions ("which should I use"), ChatGPT never recommended or picked it.

These are the labels ChatGPT attached to Ubersuggest in its SEO tool answers, taken from "best for" table columns and scenario lists and quoted as written. We found 15 such labels for Ubersuggest in this category; the most frequent are below.

• "Keyword research + site audits"
• "Beginners/budget"
• "Blog / affiliate site"
• "Small business website"
• "Learning SEO"
• "Want the cheapest serious SEO tool"

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 2 head-to-head SEO tool questions that named Ubersuggest against at least one competitor, ChatGPT picked both Ubersuggest and at least one named rival in 2, only Ubersuggest in 0, and only a rival in 0. In every one of them ChatGPT made both Ubersuggest and a rival its picks instead of declaring a single winner.

The 13 SEO tool answers in which ChatGPT picked Ubersuggest carried 48 source citations in total. The most-cited domains in those answers:

• ahrefs.com (vendor site): 6
• google.com (vendor site): 5
• mangools.com (vendor site): 5
• semrush.com (vendor site): 3
• neilpatel.com (vendor site): 3
• seoscaleup.com (other third party): 2

Across all 15 answers that recommended Ubersuggest, picked or not, there were 55 citations.

Ubersuggest's own site (neilpatel.com) was cited 4 times across all 100 answers in the category, in 4 different answers.

Google check: for 1 of the 13 questions where ChatGPT picked Ubersuggest, neilpatel.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 Ubersuggest most often in SEO tool 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.

• Ahrefs: in 9 of Ubersuggest's 15 answers, picked in 8
• Google Search Console: in 9 of Ubersuggest's 15 answers, picked in 6
• Mangools: in 9 of Ubersuggest's 15 answers, picked in 8
• Moz: in 7 of Ubersuggest's 15 answers, picked in 1
• SE Ranking: in 7 of Ubersuggest's 15 answers, picked in 6

Ubersuggest is on ChatGPT's SEO tool shortlist but is not one of its top three picks: it was recommended in 15 answers and picked in 13, against 55 picks for Ahrefs, the most-picked brand. Its weakest showing is on direct advice questions, where ChatGPT picked it in 0 of 20.

In 12 of the 13 answers that picked Ubersuggest, neilpatel.com did not rank in Google's top ten for the same question, so Google rankings alone do not explain where ChatGPT sends buyers. Even in SEO software, ranking in Google and being picked by ChatGPT were separate results; an AI SEO agency has to measure both.

The ChatGPT data on Ubersuggest comes from Teardown 20: SEO tools. 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.

If you came for the bottom line on Ubersuggest in ChatGPT, these FAQs have it.

Does ChatGPT recommend Ubersuggest?

In our SEO tools teardown (web search on, United States, September 26, 2026), ChatGPT named Ubersuggest in 15 of 100 buyer questions, recommended it in 15 and made it its own pick in 13.

What does ChatGPT say Ubersuggest is best for?

The label ChatGPT used most often for Ubersuggest was "Keyword research + site audits". Other labels included "Beginners/budget", "Blog / affiliate site", and "Small business website".

Which brands does ChatGPT compare Ubersuggest with?

In SEO tool answers, the brands ChatGPT named most often alongside Ubersuggest were Ahrefs, Google Search Console, Mangools, Moz, and SE Ranking.

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