GTM AI Index

Index › Vendors › Bidara · September 2026 Edition

1 category · Named, not ranked

Bidara

3Judge labels

2First choices

0Negative labels

3 of 12Models named it

1Category

September 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-09-16.3, every buyer segment counted.

Standing

1 label, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Bidara was named 1 time in Proposals, where PandaDoc led with 49%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small businessnot named

No model named it for this buyer.

Mid-market32 of 79

under the label threshold

Enterprise9 of 76

under the label threshold

In proposals · 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 Bidara 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
Proposal software	Revenue operations	0%	32 of 79	0%	1	under 10 labels · led by PandaDoc at 49%

Movement

This is the first edition on this tier, so no move can be computed for Bidara yet. The next is due October 1, 2026. 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 Bidara across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	Alternative	Labels
Claude Haiku 4.5	0	0
GPT-5.4 mini	0	0
Gemini 3.5 Flash	0	0
Perplexity Sonar	0	0
Grok 4.1 Fast	0	0
Mistral Small	0	0
DeepSeek V4 Flash	1	1
Llama 4 Maverick	0	0
Qwen 3.7 Flash	0	0
Kimi K2	0	0
GLM 4.7 FlashX	0	0
MiniMax M2.5	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-constrained2 labels2

Scale-constrained1 labelNone

Negative0 labelsNone

First choiceAlternativeMentionNegative3 labels in all, every segment counted; 2 of the 2 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.

“highlighted for firms in the 10–500 employee range, balancing AI capabilities, cost, and speed to value” DeepSeek V4 Flash · Proposals · scale 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 Bidara, over the 3 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Bidara was named but was not.

ProductSame answerTook the first choice insteadHead to head

Loopio3 of 31Not in the top three

PandaDoc2 of 30Not in the top three

Proposify2 of 30Not in the top three

Responsive2 of 30Not in the top three

Vercor2 of 30Not in the top three

Conga CPQ1 of 30Not in the top three

GetAccept1 of 30Not in the top three

Inventive AI1 of 30Not in the top three

PropCraft1 of 30Not in the top three

Qvidian1 of 30Not 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.

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 Bidara'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 Bidara, 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 bidara.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.