Ubersuggest

Named in 6 judge labels across 1 category by 4 of 6 models in the September 2026 Edition. 1 first choice, 2 negative labels. Every number here is derived from the raw labels under vendor table v2026-09-08.5.

Standing

6 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Ubersuggest was named 6 times in SEO, where Semrush led with 30%. The labels and the evidence are below, counted exactly.

Standing by category

Every category where a model named Ubersuggest. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.

Category	Vertical	First choices	Rank	Negative rate	Labels	Quadrant
SEO and content optimization platforms	Marketing	3%	13 of 45	33%	6	under 10 labels · led by Semrush at 30%

By model

How each model treated Ubersuggest across every prompt where it was named. Six models, six prompts per category.

Model	First choice	Alternative	Mention	Negative	Labels
Claude Opus 5	0	0	1	1	2
Claude Opus 4.8	1	0	0	0	1
GPT-6 Astra	0	0	0	0	0
GPT-5.6 Sol	0	1	0	0	1
Gemini 3.1 Pro	0	1	0	1	2
Perplexity Sonar Pro	0	0	0	0	0

What the models said for it

Verbatim evidence the judge attached to positive labels.

“Add one affordable all-in-one — Ubersuggest or Mangools (~$29–30/month)” Claude Opus 4.8 · SEO · budget prompt · first choice

“Budget is strictly below $30 and you need traditional SEO tools | Ubersuggest Individual” GPT-5.6 Sol · SEO · budget prompt · alternative

“If you hate monthly subscriptions: Buy the Ubersuggest lifetime deal.” Gemini 3.1 Pro · SEO · budget prompt · alternative

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

“many experienced SEOs advise caution. The platform is known for aggressive upselling, and its search volume/backlink data is historically less accurate” Gemini 3.1 Pro · SEO · negative prompt · soft negative

“Semrush, Ahrefs, Moz, and Ubersuggest all model volumes differently and none match Google exactly” Claude Opus 5 · SEO · negative prompt · soft negative

Names read as Ubersuggest

What the judge wrote, as written, with how often. The vendor table decides that these count as Ubersuggest; a claim can dispute any of them.

Ubersuggest Individual 1

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page gets a verified contact who is told when each edition publishes; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Ubersuggest, applied by version and listed in the change log; and a logo and one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or quadrants, any preview, or any say over which quotes appear. Sponsorship is separate: a sponsor funds categories or buyer dimensions and is named on what it funded, and the rules are the same for every sponsor.