AI Indexes
Finance AI Index
Index › Products › t0 · October 2026 Edition
1 category · Ranked

t0

23Judge labels
4First choices
1Negative labels
10 / 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.
Best standing
6% in Transfer pricing for small business buyers
Rank 14 of 101 in the mid-market standing
0 of 14 models made it the first choice on the direct prompt; 0% of its 3 labels there were negative.
By buyer segmentRead the same way at every buyer size.
In transfer pricing · 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 t0 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.
CategoryFunctionShareRankNegative rateLabelsQuadrantSince September 2026
Transfer pricingTax and compliance2%14 of 1010%3under 10 labels · led by TPGenie at 30%

Movement

This is the first edition on this tier, so no move can be computed for t0 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 t0 across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
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ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small00000
DeepSeek V4 Flash01001
Llama 4 Maverick01001
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.510001
GPT-6 Luna00000
Muse Glimmer 30B00000

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
Direct4 labelsNone
Paraphrase5 labelsNone
Comparative4 labelsNone
Budget-constrained7 labels4
Scale-constrained0 labelsNone
Negative3 labelsNone
First choiceAlternativeMentionNegative23 labels in all, every segment counted; 4 of the 4 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.

“t0 by Supernomial (Best Overall for Budget)” MiniMax M2.5 · Transfer pricing · budget prompt · first choice
“AI-native generative interface at ~$200/month - Best for tax consultancies and internal tax departments” DeepSeek V4 Flash · Transfer pricing · paraphrase prompt · alternative
“6. t0 by Supernomial” Llama 4 Maverick · Transfer pricing · paraphrase 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.

No model argued against it.

Named alongside

The products named in the same answers as t0, over the 23 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and t0 was named but was not.
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ProductSame answerTook the first choice insteadHead to head
TPGenie17 of 238Not among the top eight
Commenda13 of 235Not among the top eight
Exactera Transfer Pricing11 of 231Not among the top eight
PlaidCloud Operational Transfer Pricing9 of 232Not among the top eight
Aibidia8 of 231Not among the top eight
Gather.nexus6 of 230Not among the top eight
Sovos Transfer Pricing4 of 230Not among the top eight
Caribou3 of 231Not among the top eight
Thomson Reuters ONESOURCE Transfer Pricing3 of 231Not among the top eight
ONESOURCE Transfer Pricing3 of 230Not 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 t0. 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 23 of the 23 answers that named t0 and are not a share of its labels.

Domains cited

sourceforge.net20
gitnux.org17
slashdot.org17
itechguides.com16
commenda.io14
getsphere.com13
worldmetrics.org12
zipdo.co11
g2.com9
capterra.com8

No domain is on file for t0, so its own site is not marked.

Pages cited

Pages are listed as the models cited them.

Search and answers

Where t0 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
1,600 a month (“t0”)
AI search demand for its name, est.
187 a month
Its own site
No site of its own on file, so no site figures

In answers

This edition
Share of first choices
2%
rank 14 of 101 in transfer pricing
Segment leader
30%
TPGenie
First choices
4 across its categories
Named in
23 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 t0

What the judge wrote, as written, with how often. The vendor table decides that these count as t0; a claim can dispute any of them.
t0 by Supernomial 3

Follow t0

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 t0'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 t0, 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 t0 by email, built from the raw record of the edition. It shows:

  • where t0 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 t0, 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.

A verification link goes to your work email; an address at the vendor's own domain is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.