GTM AI Index

Index › Vendors › Convertri · September 2026 Edition

1 category · Named, not ranked

Convertri

4Judge labels

0First choices

2Negative labels

2 of 12Models named it

1Category

September 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-09-16.3, 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. Convertri was named 3 times in Landing pages, where Unbounce led with 28%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business44 of 67

under the label threshold

Mid-market46 of 78

under the label threshold

Enterprisenot named

No model named it for this buyer.

In landing pages · 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 Convertri 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
Landing pages and interactive content	Marketing	0%	46 of 78	33%	3	under 10 labels · led by Unbounce at 28%

Movement

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

Model	Alternative	Mention	Negative	Labels
Claude Haiku 4.5	0	1	1	2
GPT-5.4 mini	0	0	0	0
Gemini 3.5 Flash	0	0	0	0
Perplexity Sonar	0	0	0	0
Grok 4.1 Fast	0	0	0	0
Mistral Small	1	0	0	1
DeepSeek V4 Flash	0	0	0	0
Llama 4 Maverick	0	0	0	0
Qwen 3.7 Flash	0	0	0	0
Kimi K2	0	0	0	0
GLM 4.7 FlashX	0	0	0	0
MiniMax M2.5	0	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

Comparative1 labelNone

Budget-constrained0 labelsNone

Scale-constrained0 labelsNone

Negative3 labelsNone

First choiceAlternativeMentionNegative4 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.

“Fast-loading pages with simple setup” Mistral Small · Landing pages · negative 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.

“customer support can be slow and that some advanced features require workarounds” Claude Haiku 4.5 · Landing pages · negative prompt · soft negative

Named alongside

The products named in the same answers as Convertri, over the 4 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Convertri was named but was not.

ProductSame answerTook the first choice insteadHead to head

Leadpages3 of 40Not in the top three

Unbounce3 of 40Not in the top three

Instapage2 of 40Not in the top three

Landingi2 of 40Not in the top three

Swipe Pages2 of 40Not in the top three

Carrd1 of 41Not in the top three

ClickFunnels1 of 40Not in the top three

Elementor1 of 40Not in the top three

GetResponse1 of 40Not in the top three

Heyflow1 of 40Not 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 Convertri. 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 3 of the 4 answers that named Convertri and are not a share of its labels.

Domains cited

emailvendorselection.com3

landerlab.io3

apps.shopify.com2

blog.convertri.com2

emailtooltester.com2

g2.com2

heyflow.com2

websiteplanet.com2

zoho.com2

convertri.com1

Twenty-one of the twenty-one domain citations in answers naming Convertri came from somebody else's page.

Pages cited

emailvendorselection.com/best-landing-page-builders3

landerlab.io/blog/best-landing-page-builders3

blog.convertri.com/index.php/2025/08/12/landing-page-builder-reviews2

emailtooltester.com/en/blog/best-landing-page-builder2

emailtooltester.com/en/blog/free-landing-page2

g2.com/categories/landing-page-builders2

heyflow.com/blog/landing-page-builder2

websiteplanet.com/landing-page-creators2

Pages are listed as the models cited them.

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 Convertri'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 Convertri, 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 convert.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.