GTM AI Index
Index Marketing Influencer › GRIN vs Influencity
Influencer platforms · September 2026 Edition

GRIN vs Influencity

Zero of twelve models named GRIN first on the direct prompt; one named Influencity. GRIN was named by eleven of the twelve models and Influencity by nine and GRIN carries 38 labels and Influencity 14, so the shares are not directly comparable.

GRIN

criticized challenger

Named in one category this edition.

Influencity

accepted challenger

Named in one category this edition.

First-choice share10%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate39%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#7A position in a field of 14; printed, not drawn.
Labels3814A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, GRIN reading right to left. Rank and label count are printed, not drawn.Favikon was named alongside these two in nine of the twelve direct answers. Favikon vs GRIN · Favikon vs Influencity · Afluencer vs GRIN

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the influencer platforms page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
GRINFirst choices, of twelve modelsInfluencity
Direct013 against GRIN
Paraphrase305 against GRIN
Comparative20
Budget-constrained102 against GRIN
Scale-constrained10
Negative005 against GRIN
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where GRIN and Influencity stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 Fast
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GRIN Influencity first choice named as an alternative argued againstblank: not namedEach cell is one answer, GRIN on the left and Influencity on the right.

The direct prompt

The plain question, one answer per model, grouped by where GRIN and Influencity stood in it.

Influencity first, GRIN not the choice

1 of 12 modelsGRIN was named in the answer but not as the choice, or not at all.
MiniMax M2.5Influencity alternatives: Limelight

Neither was the first choice, one was named

4 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Perplexity SonarFavikon, Modash alternatives: CreatorIQ, Influencity, Traackr
Grok 4.1 FastFavikon alternatives: Influencity, Modash, Upfluence
Mistral SmallFavikon alternatives: Influencity
Qwen 3.7 FlashFavikon alternatives: GRIN, Modash

Neither was named

7 of 12 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Favikon alternatives: Kolsquare, Modash, Skrapp, Traackr
GPT-5.4 miniCreatorIQ alternatives: Aspire, Upfluence, impact.com
Gemini 3.5 FlashFavikon alternatives: Limelight, Onalytica, SparkToro
DeepSeek V4 FlashFavikon alternatives: GoByline, Kolsquare, Modash, Onalytica, Traackr
Llama 4 MaverickModash alternatives: Favikon, Skrapp
Kimi K2impact.com alternatives: Aspire, Modash, Traackr
GLM 4.7 FlashXFavikon, LinkedIn Creator Marketplace alternatives: Meltwater, Traackr

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
GRIN leads by eight points.
GRIN8%#4 of 14
Influencity0%#12 of 14
The full small business standing →
Mid-marketThe figures above
GRIN leads by eight points.
GRIN10%#3 of 14
Influencity2%#7 of 14
The full mid-market standing →
Enterprise
GRIN leads by six points.
GRIN6%#3 of 8
Influencity0%#– of 8
The full enterprise standing →

What the models said about GRIN

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.

“Do not sign an expensive annual contract with a legacy B2C influencer platform (like GRIN or CreatorIQ).” Gemini 3.5 Flash · direct prompt · hard negative
“What to skip: GRIN, Aspire, CreatorIQ, and Upfluence are excellent but built for B2C/e-commerce” DeepSeek V4 Flash · direct prompt · hard negative
“GRIN | Built for DTC/ecommerce (Shopify-centric)... don't map well to B2B sales cycles” Kimi K2 · paraphrase prompt · hard negative
“GRIN/Aspire focus on end-to-end workflows like gifting and payments (ideal for scaling DTC)... Choose based on your scale (e.g., GRIN for 50+ creators)” Grok 4.1 Fast · comparative prompt · first choice
“The top influencer marketing platforms include GRIN, Upfluence, and CreatorIQ for comprehensive, AI-driven campaign management.” Llama 4 Maverick · comparative prompt · first choice
“the recommended creator and influencer management tool for a mid-sized B2B company is GRIN” Llama 4 Maverick · paraphrase prompt · first choice

What the models said about Influencity

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.

“Influencity is the most practical mid-market choice for its price transparency and balanced feature set.” MiniMax M2.5 · direct prompt · first choice
“Workflow & reporting ... affordable vs. enterprise. | Quote-based; secondary LinkedIn.” Grok 4.1 Fast · direct prompt · alternative
“best if you want published pricing and a broader mid-market full-funnel toolset” Perplexity Sonar · direct prompt · alternative
Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.