GTM AI Index
Index Vendors › N.Rich · September 2026 Edition
3 categories · Named, not ranked

N.Rich

17Judge labels
2First choices
1Negative labels
8 of 12Models named it
3Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-09-16.3, every buyer segment counted.
Standing
5 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. N.Rich was named 5 times in ABM and 2 other categories, where AdRoll ABM led with 56%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In abm · 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 N.Rich 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 rateLabelsQuadrant
Account-based marketing platformsMarketing2%10 of 760%3under 10 labels · led by AdRoll ABM at 56%
Native and content advertisingMarketing0%52 of 720%1under 10 labels · led by StackAdapt at 23%
Programmatic and display advertisingMarketing0%37 of 960%1under 10 labels · led by StackAdapt at 61%

Movement

This is the first edition on this tier, so no move can be computed for N.Rich 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 N.Rich across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00101
Gemini 3.5 Flash00101
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small10001
DeepSeek V4 Flash01001
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K201001
GLM 4.7 FlashX00000
MiniMax M2.500000

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
Direct2 labelsNone
Paraphrase5 labelsNone
Comparative4 labelsNone
Budget-constrained4 labels1
Scale-constrained1 label1
Negative1 labelNone
First choiceAlternativeMentionNegative17 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.

“Start with N.Rich or RollWorks - they offer the best balance of affordability and comprehensive ABM features.” Mistral Small · ABM · budget prompt · first choice
“Pivot to RollWorks or N.Rich if you want advertising tightly integrated with account-based marketing” Kimi K2 · Programmatic · paraphrase prompt · alternative
“Ranked cheapest dedicated ABM platform; includes free 30-day trial” DeepSeek V4 Flash · ABM · budget 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 N.Rich, over the 17 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and N.Rich was named but was not.
ProductSame answerTook the first choice insteadHead to head
AdRoll ABM14 of 171Not in the top three
Demandbase11 of 171Not in the top three
ZenABM9 of 173Not in the top three
6sense9 of 172Not in the top three
Apollo.io7 of 172Not in the top three
Terminus6 of 170Not in the top three
HubSpot ABM5 of 170Not in the top three
HubSpot Marketing Hub4 of 172Not in the top three
ZoomInfo Marketing4 of 170Not in the top three
RB2B3 of 170Not 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 N.Rich. 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 2 of the 17 answers that named N.Rich and are not a share of its labels.

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 N.Rich'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 N.Rich, 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 nrich.io 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.