Index › Products › TerraUSD · October 2026 Edition

1 category · Named, not ranked

TerraUSD

25Judge labels

0First choices

25Negative labels

12 / 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

8 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. TerraUSD was named 8 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 business119 of 119

under the label threshold

Mid-market141 of 141

under the label threshold

Enterprise111 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 TerraUSD 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%	141 of 141	100%	8	under 10 labels · led by BVNK at 23%

Movement

This is the first edition on this tier, so no move can be computed for TerraUSD 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 TerraUSD across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

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

Paraphrase0 labelsNone

Comparative0 labelsNone

Budget-constrained0 labelsNone

Scale-constrained0 labelsNone

Negative25 labelsNone

First choiceAlternativeMentionNegative25 labels in all, every segment counted; 0 of the 0 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.

No positive label carried a quote.

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.

“The TerraUSD collapse is the classic cautionary example: the SEC found investors were misled about the mechanism used to maintain the peg, and the ecosystem later collapsed.” GPT-5.4 mini · Stablecoin platforms · negative prompt · hard negative

“The multi-billion-dollar collapse of TerraUSD (UST) in 2022 is the most prominent example of an algorithmic stablecoin completely failing.” Gemini 3.5 Flash · Stablecoin platforms · negative prompt · hard negative

“Avoid entirely (high systemic risk): Algorithmic or uncollateralized stablecoins like TerraUSD (UST) remnants” Grok 4.1 Fast · Stablecoin platforms · negative prompt · hard negative

“Avoid Completely: Failed / Collapsed Stablecoins ... The biggest disaster in stablecoin history” DeepSeek V4 Flash · Stablecoin platforms · negative prompt · hard negative

Named alongside

The products named in the same answers as TerraUSD, over the 25 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and TerraUSD was named but was not.

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ProductSame answerTook the first choice insteadHead to head

USDC14 of 2512Not among the top eight

Tether10 of 250Not among the top eight

USDT6 of 252Not among the top eight

PYUSD6 of 251Not among the top eight

BUSD3 of 250Not among the top eight

Celsius3 of 250Not among the top eight

DAI3 of 250Not among the top eight

IRON3 of 250Not among the top eight

IRON Finance3 of 250Not among the top eight

Frax2 of 251Not 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 TerraUSD. 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 25 of the 25 answers that named TerraUSD and are not a share of its labels.

Domains cited

stripe.com14

frontiersin.org9

sec.gov9

triple-a.io8

stablecoininsider.org7

ainvest.com6

alchemy.com6

home.treasury.gov6

mexc.com6

spark.money6

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

Pages cited

frontiersin.org/journals/blockchain/articles/10.3389/fbloc.2026.1797659/full9

triple-a.io/blog/stablecoin-regulations7

alchemy.com/overviews/enterprise-stablecoin-guide6

stripe.com/resources/more/how-businesses-are-adopting-stablecoin-payments5

stripe.com/resources/more/stablecoin-risk-management-strategies5

coinbureau.com/education/what-is-tether-usdt4

home.treasury.gov/system/files/136/StableCoinReport_Nov1_508.pdf4

mexc.com/mn-MN/learn/article/stablecoin-depegging-history-from-ust-to-usd1-a-safer-evoluti4

Pages are listed as the models cited them.

Search and answers

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

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In search

Google, US estimates

Searches for its name, Google: 260 a month (“terrausd”)
AI search demand for its name, est.: 26 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 141 of 141 in stablecoin platforms

Segment leader

23%

BVNK

First choices: 0 across its categories
Named in: 25 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 TerraUSD

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

TerraUSD (UST) 4TerraUSD (UST) / Terra (LUNA) 1UST/TerraUSD 1

Follow TerraUSD

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 TerraUSD'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 TerraUSD, 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 TerraUSD by email, built from the raw record of the edition. It shows:

where TerraUSD 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 TerraUSD, 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.