GTM AI Index
Index Vendors › Prezly · September 2026 Edition
1 category · Ranked

Prezly

18Judge labels
1First choices
1Negative labels
8 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.
Best standing
2% in PR for small business buyers
Rank 19 of 65 in the mid-market standing
0 of 12 models made it the first choice on the direct prompt; 17% of its 6 labels there were negative.
By buyer segmentRead the same way at every buyer size.
In pr · 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 Prezly 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
PR and media monitoringMarketing0%19 of 6517%6under 10 labels · led by Muck Rack at 24%

Movement

This is the first edition on this tier, so no move can be computed for Prezly 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 Prezly across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash01102
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small00101
DeepSeek V4 Flash00011
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K201001
GLM 4.7 FlashX01001
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
Direct1 labelNone
Paraphrase4 labels1
Comparative9 labelsNone
Budget-constrained0 labelsNone
Scale-constrained3 labelsNone
Negative1 labelNone
First choiceAlternativeMentionNegative18 labels in all, every segment counted; 1 of the 1 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.

“Prezly | Relationship-driven PR teams | Lower cost, built-in CRM, newsroom publishing” GLM 4.7 FlashX · PR · comparative prompt · alternative
“If you have your own contact lists and want a stunning press hub: Go with Prezly” Gemini 3.5 Flash · PR · comparative prompt · alternative
“Best Budget Option: Prezly ... What it lacks: Media database and monitoring” Kimi K2 · PR · paraphrase 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 built-in media database and monitoring is an add-on — weak for outreach at your stage” DeepSeek V4 Flash · PR · paraphrase prompt · soft negative

Named alongside

The products named in the same answers as Prezly, over the 18 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Prezly was named but was not.
ProductSame answerTook the first choice insteadHead to head
Semrush AI PR Toolkit17 of 188Not in the top three
Meltwater17 of 182Not in the top three
Brand2415 of 185Not in the top three
Muck Rack14 of 183Not in the top three
Cision13 of 180Not in the top three
Mention11 of 180Not in the top three
Brandwatch8 of 180Not in the top three
Agility PR Solutions7 of 180Not in the top three
Google Alerts7 of 180Not in the top three
Awario5 of 182Not 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 Prezly. 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 18 answers that named Prezly and are not a share of its labels.

Domains cited

brand24.com2
gartner.com2
guideflow.com2
prlab.co2
thecmo.com2
agilitypr.com1
g2.com1
improvado.io1
learn.g2.com1
meltwater.com1

Fifteen of the fifteen domain citations in answers naming Prezly came from somebody else's page.

Pages cited

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 Prezly'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 Prezly, 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 prezly.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.