GTM AI Index

Index › Vendors › Qualified Piper · September 2026 Edition

1 category · Named, not ranked

Qualified Piper

7Judge labels

0First choices

1Negative labels

5 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

3 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Qualified Piper was named 3 times in AI SDR, where Apollo.io led with 20%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business75 of 79

under the label threshold

Mid-market28 of 71

under the label threshold

Enterprise23 of 60

under the label threshold

In ai sdr · 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 Qualified Piper 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 SDR agents	Sales	0%	28 of 71	0%	3	under 10 labels · led by Apollo.io at 20%

Movement

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

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

Direct1 labelNone

Paraphrase0 labelsNone

Comparative3 labels1not counted in share

Budget-constrained1 labelNone

Scale-constrained0 labelsNone

Negative2 labelsNone

First choiceAlternativeMentionNegative7 labels in all, every segment counted; 0 of the 1 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.

“Inbound website lead capture: Qualified Piper” GPT-5.4 mini · AI SDR · comparative prompt · first choice

“Salesforce-native orgs driving inbound conversion? → Qualified Piper or Agentforce SDR” DeepSeek V4 Flash · AI SDR · comparative prompt · alternative

“Qualified Piper (4.9/5)” Grok 4.1 Fast · AI SDR · negative 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 Qualified Piper, over the 7 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Qualified Piper was named but was not.

ProductSame answerTook the first choice insteadHead to head

11x6 of 71Not in the top three

Artisan4 of 70Not in the top three

AiSDR3 of 71Not in the top three

Amplemarket3 of 71Not in the top three

Salesforce Agentforce2 of 72Not in the top three

Amplemarket Duo2 of 71Not in the top three

Clay2 of 70Not in the top three

Reply.io Jason2 of 70Not in the top three

Salesforce Agentforce SDR2 of 70Not in the top three

Apollo.io1 of 70Not 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 Qualified Piper. 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 3 of the 7 answers that named Qualified Piper and are not a share of its labels.

Domains cited

artisan.co2

qualified.comYour site2

salesmotion.io2

aisdr.com1

amplemarket.com1

clay.com1

cleanlist.ai1

docket.io1

genesysgrowth.com1

getbreakout.ai1

Eleven of the thirteen domain citations in answers naming Qualified Piper came from somebody else's page.

Pages cited

aisdr.com/pricing1

amplemarket.com/blog/best-ai-sales-agents1

artisan.co/blog/artisan-launches-ava-2-0-first-autonomous-ai-bdr1

artisan.co/blog/the-best-ai-sdrs1

clay.com/guides/best/ai-sdr-tools1

cleanlist.ai/blog/2026-07-17-best-ai-sdr-tools1

docket.io/blog/ai-sdr-tools1

genesysgrowth.com/blog/ai-sdr-platforms-compared1

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 Qualified Piper'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 Qualified Piper, 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 qualified.com 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.