GTM AI Index

Index › Products › Topsort · October 2026 Edition

1 category · Named, not ranked

Topsort

15Judge labels

0First choices

0Negative labels

8 / 14Models named it

1Category

October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10-05.2, every buyer segment counted.

Standing

2 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Topsort was named 2 times in Retail media, where Amazon Ads led with 33%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business19 of 113

under the label threshold

Mid-market58 of 121

under the label threshold

Enterprise28 of 107

under the label threshold

In retail media · 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 Topsort 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
Retail media platforms	Marketing	0%	58 of 121	0%	2	under 10 labels · led by Amazon Ads at 33%

Movement

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

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Model	Mention	Labels
Claude Haiku 4.5	0	0
GPT-5.4 mini	0	0
Gemini 3.5 Flash	0	0
Perplexity Sonar	1	1
Grok 4.1 Fast	0	0
Mistral Small	0	0
DeepSeek V4 Flash	0	0
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
GPT-6 Luna	0	0
Muse Glimmer 30B	1	1

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

Paraphrase1 labelNone

Comparative10 labelsNone

Budget-constrained0 labelsNone

Scale-constrained3 labelsNone

Negative0 labelsNone

First choiceAlternativeMentionNegative15 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.

No positive label carried a quote.

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 Topsort, over the 15 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Topsort was named but was not.

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ProductSame answerTook the first choice insteadHead to head

Amazon Ads9 of 157Not among the top eight

Walmart Connect9 of 151Not among the top eight

Criteo8 of 151Not among the top eight

Target Roundel8 of 150Not among the top eight

Kroger Precision Marketing7 of 150Not among the top eight

Osmos7 of 150Not among the top eight

Instacart Ads6 of 150Not among the top eight

Kevel6 of 150Not among the top eight

Mirakl Ads5 of 150Not among the top eight

Moloco Retail Media Platform5 of 150Not 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 Topsort. 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 15 of the 15 answers that named Topsort and are not a share of its labels.

Domains cited

guideflow.com12

osmos.ai12

g2.com10

improvado.io9

topsort.comYour site9

moloco.com7

voyado.com7

aidigital.com6

criteo.com6

gartner.com6

Seventy-five of the eighty-four domain citations in answers naming Topsort came from somebody else's page.

Pages cited

guideflow.com/blog/retail-media-platforms12

improvado.io/blog/top-retail-media-networks9

osmos.ai/blog/retail-media-evolution-the-complete-guide8

topsort.com/post/best-retail-media-platforms8

g2.com/categories/retail-media-advertising-platforms7

voyado.com/resources/blog/best-retail-media-software7

aidigital.com/blog/retail-media-networks6

gartner.com/reviews/market/retail-media-networks6

Pages are listed as the models cited them.

Search and answers

topsort.com ranks 2 on Google for the category's searches. In the answers, Topsort takes 0% of first choices and Amazon Ads takes 33%.

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In search

Google, US estimates

Position for “retail media advertising platform”

Position for “best retail media advertising platform”

–

not in the top ten

In answers

This edition

Share of first choices

rank 58 of 121 in retail media

Segment leader

33%

Amazon Ads

First choices: 0 across its categories
Named in: 15 answers
Its own site cited: in 15 of the answers that named it

Search figures are US estimates from DataForSEO, read October 5, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.

Follow Topsort

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

where Topsort 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 Topsort, 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.