GTM AI Index
Index Vendors › Pinterest · September 2026 Edition
2 categories · Named, not ranked

Pinterest

16Judge labels
0First choices
6Negative labels
10 of 12Models named it
2Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-09-16.3, every buyer segment counted.
Standing
4 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Pinterest was named 4 times in Video ads and 1 other category, 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 Pinterest 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%22 of 1210%3under 10 labels · led by StackAdapt at 24%
Ecommerce marketingMarketing0%97 of 1540%1under 10 labels · led by HubSpot Marketing Hub at 36%

Movement

This is the first edition on this tier, so no move can be computed for Pinterest 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 Pinterest across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.501001
GPT-5.4 mini01001
Gemini 3.5 Flash00000
Perplexity Sonar00101
Grok 4.1 Fast01001
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
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
Direct0 labelsNone
Paraphrase0 labelsNone
Comparative2 labelsNone
Budget-constrained5 labelsNone
Scale-constrained0 labelsNone
Negative9 labelsNone
First choiceAlternativeMentionNegative16 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.

“Often has lower competition and costs than Facebook/Instagram, making it a budget-friendly option for certain niches.” Claude Haiku 4.5 · Video ads · budget prompt · alternative
“| Pinterest | Low/no min. | $10–$18 CPM | Visual discovery, shopping | Niche” Grok 4.1 Fast · Video ads · budget prompt · alternative
“Need inspiration/shopping intent? Pinterest.” GPT-5.4 mini · Video ads · 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 Pinterest, over the 16 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Pinterest was named but was not.
ProductSame answerTook the first choice insteadHead to head
TikTok Ads12 of 160Not in the top three
Meta Ads11 of 162Not in the top three
YouTube Ads8 of 165Not in the top three
LinkedIn Video Ads7 of 160Not in the top three
Snapchat5 of 160Not in the top three
Mailchimp3 of 162Not in the top three
Google Ads3 of 161Not in the top three
LinkedIn Campaign Manager3 of 160Not in the top three
Meta3 of 160Not in the top three
Instagram Reels2 of 162Not 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 Pinterest. 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 4 of the 16 answers that named Pinterest and are not a share of its labels.

Domains cited

blog.hubspot.com2
admanage.ai1
ads.tiktok.com1
adwave.com1
aisaspa.com1
business.linkedin.com1
click.co.uk1
clicksgeek.com1
colonyspark.com1
connecticallc.com1

Eleven of the eleven domain citations in answers naming Pinterest came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

The company

Q255381 is the company behind Pinterest.
Website
pinterest.com
Headquarters
Palo Alto, United States
Founded
2010

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 · Crunchbase

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 Pinterest'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 Pinterest, 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 pinterest.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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