GTM AI Index
Index Vendors › Later Influence · September 2026 Edition
1 category · Named, not ranked

Later Influence

19Judge labels
1First choices
4Negative 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.
Standing
9 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Later Influence was named 9 times in Influencer, where Favikon led with 27%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In influencer · 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 Later Influence 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
Influencer platformsMarketing0%22 of 7911%9under 10 labels · led by Favikon at 27%

Movement

This is the first edition on this tier, so no move can be computed for Later Influence 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 Later Influence 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 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00112
Mistral Small01001
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash01001
Kimi K201203
GLM 4.7 FlashX00101
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
Direct1 labelNone
Paraphrase1 labelNone
Comparative10 labelsNone
Budget-constrained2 labels1
Scale-constrained3 labelsNone
Negative2 labelsNone
First choiceAlternativeMentionNegative19 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.

“Later Influence | Custom quote | Mid-size brands wanting managed support” Kimi K2 · Influencer · scale prompt · alternative
“Integrated directly into the popular scheduling tool Later.” Qwen 3.7 Flash · Influencer · comparative prompt · alternative
“Best for: Mid-size brands needing managed support” Mistral Small · Influencer · 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.

“Trustpilot rates it poorly (1.4/5), citing buggy software, low-quality influencers, useless results, and refund issues” Grok 4.1 Fast · Influencer · negative prompt · hard negative

Named alongside

The products named in the same answers as Later Influence, over the 19 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Later Influence was named but was not.
ProductSame answerTook the first choice insteadHead to head
GRIN15 of 192Not in the top three
CreatorIQ14 of 196Not in the top three
Modash13 of 193Not in the top three
Upfluence13 of 191Not in the top three
Aspire13 of 190Not in the top three
HypeAuditor10 of 190Not in the top three
Heepsy8 of 192Not in the top three
Afluencer8 of 191Not in the top three
impact.com7 of 190Not in the top three
Traackr6 of 191Not 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 Later Influence. 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 19 answers that named Later Influence and are not a share of its labels.

Domains cited

sproutsocial.com2
blog.hypeauditor.com1
businessofapps.com1
capterra.com1
creatoriq.com1
g2.com1
getflowbox.com1
grin.co1
guideflow.com1
influee.co1

Eleven of the eleven domain citations in answers naming Later Influence 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 Later Influence'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 Later Influence, 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 later.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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