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

SlickText

32Judge labels
1First choices
2Negative labels
10 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 Mobile & push for small business buyers
Rank 19 of 75 in the mid-market standingaccepted challenger
0 of 12 models made it the first choice on the direct prompt; 0% of its 10 labels there were negative.
By buyer segmentRead the same way at every buyer size.
In mobile & push · 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 SlickText 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
Mobile marketing and pushMarketing0%19 of 750%10accepted challenger

Movement

This is the first edition on this tier, so no move can be computed for SlickText 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 SlickText 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 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00202
Mistral Small00101
DeepSeek V4 Flash01001
Llama 4 Maverick00101
Qwen 3.7 Flash00000
Kimi K201001
GLM 4.7 FlashX02002
MiniMax M2.500101

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
Direct2 labels1
Paraphrase4 labelsNone
Comparative12 labels2not counted in share
Budget-constrained2 labelsNone
Scale-constrained2 labelsNone
Negative10 labels5not counted in share
First choiceAlternativeMentionNegative32 labels in all, every segment counted; 1 of the 8 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.

“SimpleTexting, SlickText | Transparent pricing, good support” Kimi K2 · Mobile & push · negative prompt · alternative
“Small business simple SMS/MMS | SimpleTexting or SlickText” DeepSeek V4 Flash · Mobile & push · comparative prompt · alternative
“#1 rated (4.8/5), visual workflows, keywords” GLM 4.7 FlashX · Mobile & push · comparative prompt · alternative
“SlickText (Best for SMS-only focus)” GLM 4.7 FlashX · Mobile & push · 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 model argued against it.

Named alongside

The products named in the same answers as SlickText, over the 32 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and SlickText was named but was not.
ProductSame answerTook the first choice insteadHead to head
OneSignal25 of 3210Not in the top three
Omnisend19 of 324Not in the top three
SimpleTexting19 of 321Not in the top three
Braze16 of 324Not in the top three
Twilio Programmable Messaging16 of 321Not in the top three
Attentive16 of 320Not in the top three
Klaviyo15 of 321Not in the top three
Textedly15 of 320Not in the top three
TextMagic14 of 320Not in the top three
Airship12 of 321Not 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 SlickText. 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 32 answers that named SlickText and are not a share of its labels.

Domains cited

attentive.com3
bloomreach.com3
getapp.com3
brevo.com2
businessofapps.com2
getvero.com2
infobip.com2
klaviyo.com2
mailchimp.com2
mobile-text-alerts.com2

Twenty-three of the twenty-three domain citations in answers naming SlickText 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 SlickText'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 SlickText, 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 slicktext.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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