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

Favikon vs Influencity

Eight of twelve models named Favikon first on the direct prompt; one named Influencity. Favikon was named by eleven of the twelve models and Influencity by nine and Favikon carries 23 labels and Influencity 14, so the shares are not directly comparable.

Favikon

accepted challenger

Named in one category this edition.

Influencity

accepted challenger

Named in one category this edition.

First-choice share27%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#7A position in a field of 14; printed, not drawn.
Labels2314A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Favikon reading right to left. Rank and label count are printed, not drawn.Modash was named alongside these two in seven of the twelve direct answers. Favikon vs Afluencer · Favikon vs GRIN · Favikon vs CreatorIQ

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.
FavikonFirst choices, of twelve modelsInfluencity
Direct81
Paraphrase50
Comparative00
Budget-constrained00
Scale-constrained00
Negative00
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 Favikon 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
Favikon Influencity first choice named as an alternative argued againstblank: not namedEach cell is one answer, Favikon on the left and Influencity on the right.

The direct prompt

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

Favikon first, Influencity an alternative

8 of 12 modelsInfluencity was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Favikon alternatives: Kolsquare, Modash, Skrapp, Traackr
Gemini 3.5 FlashFavikon alternatives: Limelight, Onalytica, SparkToro
Perplexity SonarFavikon, Modash alternatives: CreatorIQ, Influencity, Traackr
Grok 4.1 FastFavikon alternatives: Influencity, Modash, Upfluence
Mistral SmallFavikon alternatives: Influencity
DeepSeek V4 FlashFavikon alternatives: GoByline, Kolsquare, Modash, Onalytica, Traackr
Qwen 3.7 FlashFavikon alternatives: GRIN, Modash
GLM 4.7 FlashXFavikon, LinkedIn Creator Marketplace alternatives: Meltwater, Traackr

Influencity first, Favikon not the choice

1 of 12 modelsFavikon 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

1 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Llama 4 MaverickModash alternatives: Favikon, Skrapp

Neither was named

2 of 12 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniCreatorIQ alternatives: Aspire, Upfluence, impact.com
Kimi K2impact.com alternatives: Aspire, Modash, 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
Favikon leads by thirty-one points.
Favikon31%#1 of 14
Influencity0%#12 of 14
The full small business standing →
Mid-marketThe figures above
Favikon leads by twenty-four points.
Favikon27%#1 of 14
Influencity2%#7 of 14
The full mid-market standing →
Enterprise
Favikon leads by two points.
Favikon2%#4 of 8
Influencity0%#– of 8
The full enterprise standing →

What the models said about Favikon

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

“For pure B2B thought leadership, Favikon is often the sweet spot for mid-market companies balancing cost and functionality.” GLM 4.7 FlashX · direct prompt · first choice
“the strongest single-platform pick is usually Favikon if your program is LinkedIn-first” Perplexity Sonar · direct prompt · first choice
“I'd recommend Favikon if your priority is B2B creator discovery on LinkedIn” Perplexity Sonar · 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
Favikon vs AfluencerFavikon vs GRINFavikon vs CreatorIQFavikon vs AspireFavikon vs ModashFavikon vs TraackrAfluencer vs InfluencityGRIN vs InfluencityCreatorIQ vs InfluencityAspire vs InfluencityModash vs InfluencityInfluencity vs TraackrAll twenty-eight head-to-head pages and the full influencer standing

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.