Index › Products › USDT · October 2026 Edition

1 category · Named, not ranked

USDT

14Judge labels

0First choices

7Negative labels

8 / 14Models named it

1Category

October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.7, every buyer segment counted.

Standing

6 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. USDT was named 6 times in Stablecoin platforms, where BVNK led with 23%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business94 of 119

under the label threshold

Mid-market22 of 141

under the label threshold

Enterprise104 of 111

under the label threshold

In stablecoin platforms · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named USDT for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant	Since September 2026
Stablecoin platforms	Treasury and cash	0%	22 of 141	17%	6	under 10 labels · led by BVNK at 23%

Movement

This is the first edition on this tier, so no move can be computed for USDT yet. From the next edition this section shows, per buyer segment and per category, whether its share moved by more than the measured noise floor.

By model

How each model treated USDT across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

ShowHide

Model	First choice	Mention	Negative	Labels
Claude Haiku 4.5	0	1	0	1
GPT-5.4 mini	0	0	0	0
Gemini 3.5 Flash	0	0	0	0
Perplexity Sonar	0	0	0	0
Grok 4.1 Fast	0	0	0	0
Mistral Small	1	0	0	1
DeepSeek V4 Flash	1	0	0	1
Llama 4 Maverick	0	0	0	0
Qwen 3.7 Flash	0	0	1	1
Kimi K2	1	0	0	1
GLM 4.7 FlashX	0	0	0	0
MiniMax M2.5	0	1	0	1
GPT-6 Luna	0	0	0	0
Muse Glimmer 30B	0	0	0	0

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.

FramingLabels by classFirst choices

Direct0 labelsNone

Paraphrase1 labelNone

Comparative3 labels2not counted in share

Budget-constrained0 labelsNone

Scale-constrained2 labelsNone

Negative8 labels3not counted in share

First choiceAlternativeMentionNegative14 labels in all, every segment counted; 0 of the 5 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“Stick to well-established, fully reserved, and regularly audited stablecoins like USDC and USDT for most use cases.” Mistral Small · Stablecoin platforms · negative prompt · first choice

“For trading & liquidity: USDT — deepest liquidity and widest exchange support” DeepSeek V4 Flash · Stablecoin platforms · comparative prompt · first choice

“Choose USDT for maximum liquidity and trading access” Kimi K2 · Stablecoin platforms · comparative prompt · first choice

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.

“carries more reputational/regulatory scrutiny for conservative Western companies” Qwen 3.7 Flash · Stablecoin platforms · scale prompt · soft negative

Named alongside

The products named in the same answers as USDT, over the 14 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and USDT was named but was not.

ShowHide

ProductSame answerTook the first choice insteadHead to head

USDC13 of 143Not among the top eight

DAI6 of 140Not among the top eight

TerraUSD6 of 140Not among the top eight

PYUSD3 of 141Not among the top eight

TUSD3 of 140Not among the top eight

USDe3 of 140Not among the top eight

USD12 of 140Not among the top eight

sUSD2 of 140Not among the top eight

Aave1 of 140Not among the top eight

BUSD1 of 140Not among the top eight

A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named USDT. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 11 of the 14 answers that named USDT and are not a share of its labels.

Domains cited

stripe.com8

stablecoininsider.org5

eco.com4

frontiersin.org4

triple-a.io4

research.titanfx.com3

spark.money3

alchemy.com2

bis.org2

bleap.finance2

No domain is on file for USDT, so its own site is not marked.

Pages cited

frontiersin.org/journals/blockchain/articles/10.3389/fbloc.2026.1797659/full4

triple-a.io/blog/stablecoin-regulations4

research.titanfx.com/crypto-trading/stablecoin3

stablecoininsider.org/stablecoin-risks-in-20263

stripe.com/resources/more/stablecoin-risk-management-strategies3

alchemy.com/overviews/enterprise-stablecoin-guide2

bleap.finance/blog/best-stablecoins-which-one-should-you-hold2

certik.com/blog/security-risks-of-stablecoins2

Pages are listed as the models cited them.

Search and answers

Where USDT stands in Google search beside where it stands in the models' answers.

ShowHide

In search

Google, US estimates

Searches for its name, Google: not counted (“usdt”)
AI search demand for its name, est.: 920 a month
Its own site: No site of its own on file, so no site figures

In answers

This edition

Share of first choices

rank 22 of 141 in stablecoin platforms

Segment leader

23%

BVNK

First choices: 0 across its categories
Named in: 14 answers
Its own site cited: No site on file to match

Search figures are US estimates from DataForSEO, read October 5, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.

Names read as USDT

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

USDT (Tether) 5

Follow USDT

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

Already following? Everything you follow, with a stop for each.

Is this your product?

Claim this page

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

What a new claim receivesHide what a new claim receives

A new claim receives the current edition's vendor brief for USDT by email, built from the raw record of the edition. It shows:

where USDT is named, by buyer and by framing, and which cells hold its first choices;
the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
its vocabulary against the segment leader's, and the pages the models cited;
who was chosen in the answers that did not name USDT, and every reason the record gives;
a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
one page of published figures cleared to show a buyer.