GTM AI Index
Index Vendors › Reddit Ads · September 2026 Edition
3 categories · Named, not ranked

Reddit Ads

11Judge labels
0First choices
3Negative labels
9 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
6 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Reddit Ads was named 6 times in Video ads and 2 other categories, where StackAdapt led with 24%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In video ads · 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 Reddit Ads 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
Video advertisingMarketing0%23 of 1210%3under 10 labels · led by StackAdapt at 24%
Search and social advertising platformsMarketing0%114 of 13750%2under 10 labels · led by Google Ads at 10%
Native and content advertisingMarketing0%36 of 720%1under 10 labels · led by StackAdapt at 23%

Movement

This is the first edition on this tier, so no move can be computed for Reddit Ads 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 Reddit Ads across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500101
GPT-5.4 mini00000
Gemini 3.5 Flash01001
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small00101
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash01001
Kimi K200000
GLM 4.7 FlashX01001
MiniMax M2.500011

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
Comparative1 labelNone
Budget-constrained4 labelsNone
Scale-constrained0 labelsNone
Negative4 labelsNone
First choiceAlternativeMentionNegative11 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.

“If your monthly budget is under $300: Stick to Reddit Ads or Meta Ads” Gemini 3.5 Flash · Native ads · budget prompt · alternative
“Reddit Ads—emerging as a breakout B2B channel” Qwen 3.7 Flash · Video ads · direct prompt · alternative
“Reddit Ads - *Cheapest Entry Point*” GLM 4.7 FlashX · Video ads · 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.

“Extremely high click costs (reportedly up to $400 per click in some cases)” MiniMax M2.5 · Paid ads · negative prompt · soft negative

Named alongside

The products named in the same answers as Reddit Ads, over the 11 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Reddit Ads was named but was not.
ProductSame answerTook the first choice insteadHead to head
TikTok Ads6 of 110Not in the top three
Meta Ads5 of 112Not in the top three
LinkedIn Campaign Manager5 of 111Not in the top three
YouTube Ads5 of 111Not in the top three
MGID4 of 113Not in the top three
StackAdapt4 of 110Not in the top three
Teads4 of 110Not in the top three
Google Ads3 of 110Not in the top three
Revcontent3 of 110Not in the top three
Taboola3 of 110Not 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 Reddit Ads. 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 11 answers that named Reddit Ads and are not a share of its labels.

Domains cited

adcreate.com1
adventuremedia.ai1
adwave.com1
cbinsights.com1
cbsnews.com1
clicksgeek.com1
dataally.ai1
digitaladvertisinghub.net1
digivizer.com1
fera.ai1

Ten of the ten domain citations in answers naming Reddit Ads came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

The company

Reddit is the company behind Reddit Ads.
Website
reddit.com
Headquarters
San Francisco, United States
Founded
2005

From Wikidata, fetched September 14, 2026. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata

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 Reddit Ads'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 Reddit Ads, 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 reddit.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.

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