Every category where a model named Vic.ai 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
AI accounting assistants	Accounting and close	7%	4 of 79	6%	34	accepted challenger
Account reconciliation	Accounting and close	2%	12 of 72	0%	3	under 10 labels · led by FloQast at 33%
Accounts payable automation	Spend and procurement	0%	38 of 60	0%	1	under 10 labels · led by Stampli at 19%

Movement

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

By model

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

Model	First choice	Alternative	Mention	Negative	Labels
Claude Haiku 4.5	1	2	0	0	3
GPT-5.4 mini	0	0	0	0	0
Gemini 3.5 Flash	0	4	0	0	4
Perplexity Sonar	0	4	0	0	4
Grok 4.1 Fast	0	2	2	1	5
Mistral Small	1	1	0	0	2
DeepSeek V4 Flash	0	4	0	0	4
Llama 4 Maverick	1	1	3	0	5
Qwen 3.7 Flash	0	3	0	1	4
Kimi K2	0	2	0	0	2
GLM 4.7 FlashX	1	1	0	0	2
MiniMax M2.5	0	2	1	0	3

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

Direct19 labels2

Paraphrase32 labels5

Comparative24 labelsNone

Budget-constrained5 labels2

Scale-constrained5 labelsNone

Negative12 labels2not counted in share

First choiceAlternativeMentionNegative97 labels in all, every segment counted; 9 of the 11 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.

“Vic.ai is recommended for mid-market or enterprise AP teams, as it's autonomous invoice processing for organizations processing thousands of bills every month” Claude Haiku 4.5 · AI accounting assistants · direct prompt · first choice

“For most mid-sized B2B companies, Vic.ai is the top recommendation due to its specialized focus on AP automation and proven scalability.” Mistral Small · AI accounting assistants · paraphrase prompt · first choice

“I recommend starting with Vic.ai for accounts payable and Docyt for end‑to‑end bookkeeping.” GLM 4.7 FlashX · AI accounting assistants · paraphrase prompt · first choice

“Vic.ai is best for companies seeking AI-first automation” Llama 4 Maverick · Account reconciliation · paraphrase 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.

“Ranked low in privacy audits ... they train AI on customer data without easy opt-out” Grok 4.1 Fast · AI accounting assistants · negative prompt · soft negative

“Vic.ai requires significant invoice volume to justify its cost” Qwen 3.7 Flash · AI accounting assistants · comparative prompt · soft negative

Named alongside

The products named in the same answers as Vic.ai, over the 97 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Vic.ai was named but was not.

ProductSame answerTook the first choice insteadHead to head

FloQast40 of 979Not in the top three

Numeric36 of 978Not in the top three

Sage Intacct33 of 9710Not in the top three

QuickBooks Online30 of 9712Not in the top three

Xero25 of 976Not in the top three

Ramp25 of 975Not in the top three

BILL23 of 971Not in the top three

BlackLine19 of 978Not in the top three

Trullion19 of 970Not in the top three

Oracle NetSuite18 of 972Not in the top three

A head-to-head page exists where both products are in a category's top three. 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 Vic.ai. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 83 of the 97 answers that named Vic.ai and are not a share of its labels.

Domains cited

intuit.com38

numeric.io36

dualentry.com34

unite.ai31

layer3labs.io27

aimultiple.com24

fast.io23

aibuzz.blog22

articsledge.com21

gotofu.com19

275 of the 275 domain citations in answers naming Vic.ai came from somebody else's page.

Pages cited

intuit.com/blog/innovative-thinking/best-ai-accounting-software-tools38

dualentry.com/blog/best-ai-accounting-software32

unite.ai/best-ai-accounting-tools30

numeric.io/blog/ai-accounting-tools27

aimultiple.com/accounting-ai-agent24

fast.io/resources/best-ai-agents-accounting-finance-202623

aibuzz.blog/best-ai-accounting-software20

layer3labs.io/comparisons/best-ai-tools-for-accounting-firms20

Pages are listed as the models cited them.

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 Vic.ai'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 Vic.ai, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at vic.ai is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.