Index › Products › Goodstack · October 2026 Edition

1 category · Named, not ranked

Goodstack

7Judge labels

0First choices

2Negative labels

5 / 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.

Standing

3 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Goodstack was named 3 times in Giving & volunteering, where Millie led with 22%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business68 of 89

under the label threshold

Mid-market28 of 70

under the label threshold

Enterprise42 of 65

under the label threshold

In giving & volunteering · 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 Goodstack 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	Since September 2026
Employee giving and volunteering	Onboarding and employee experience	0%	28 of 70	0%	3	under 10 labels · led by Millie at 22%

Movement

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

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Model	Alternative	Mention	Labels
Claude Haiku 4.5	0	0	0
GPT-5.4 mini	0	0	0
Gemini 3.5 Flash	0	0	0
Perplexity Sonar	1	0	1
Grok 4.1 Fast	0	0	0
Mistral Small	0	0	0
DeepSeek V4 Flash	0	0	0
Llama 4 Maverick	0	0	0
Qwen 3.7 Flash	1	0	1
Kimi K2	0	0	0
GLM 4.7 FlashX	0	1	1
MiniMax M2.5	0	0	0
GPT-6 Luna	0	0	0
Muse Glimmer 30B	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

Direct0 labelsNone

Paraphrase0 labelsNone

Comparative4 labelsNone

Budget-constrained2 labelsNone

Scale-constrained0 labelsNone

Negative1 labelNone

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

“Goodstack focuses heavily on speed and simplicity, often offering lower overhead costs than legacy providers.” Qwen 3.7 Flash · Giving & volunteering · budget prompt · alternative

“Focuses on essential features such as matching and impact reporting” Perplexity Sonar · Giving & volunteering · comparative 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 Goodstack, over the 7 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Goodstack was named but was not.

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ProductSame answerTook the first choice insteadHead to head

Benevity Enterprise Impact Platform5 of 73Not among the top eight

Groundswell5 of 70Not among the top eight

Selflessly4 of 71Not among the top eight

Percent Pledge4 of 70Not among the top eight

Deed3 of 70Not among the top eight

PercentPledge3 of 70Not among the top eight

Submittable2 of 71Not among the top eight

Bonterra2 of 70Not among the top eight

Double the Donation2 of 70Not among the top eight

Goodera2 of 70Not 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 Goodstack. 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 7 of the 7 answers that named Goodstack and are not a share of its labels.

Domains cited

yourcause.com7

bonterratech.com6

uncommongiving.com5

benevity.com4

guideflow.com4

achievers.com2

blog.betterimpact.com2

gitnux.org2

givebutter.com2

groundswell.io2

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

Pages cited

bonterratech.com/blog/corporate-giving-platforms6

yourcause.com/articles/best-corporate-giving-software6

bonterratech.com/blog/charitable-giving-software4

benevity.com/3

benevity.com/blog/best-employee-engagement-software3

guideflow.com/blog/corporate-giving-software3

uncommongiving.com/uncommon-blog/csr-software3

yourcause.com/articles/best-corporate-volunteering-software3

Pages are listed as the models cited them.

Follow Goodstack

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

where Goodstack 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 Goodstack, 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.