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

Favikon

52Judge labels
29First choices
1Negative labels
11 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
31% in Influencer for small business buyers
Rank 1 of 79 in the mid-market standingaccepted challenger
8 of 12 models made it the first choice on the direct prompt; 0% of its 23 labels there were negative.
By buyer segmentStrongest at small business.
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 Favikon 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 platformsMarketing27%1 of 790%23accepted challenger

Movement

This is the first edition on this tier, so no move can be computed for Favikon 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 Favikon across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.511002
GPT-5.4 mini00000
Gemini 3.5 Flash21003
Perplexity Sonar20103
Grok 4.1 Fast11002
Mistral Small11002
DeepSeek V4 Flash20002
Llama 4 Maverick02002
Qwen 3.7 Flash20002
Kimi K202002
GLM 4.7 FlashX10001
MiniMax M2.510102

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
Direct27 labels17
Paraphrase19 labels12
Comparative5 labelsNone
Budget-constrained0 labelsNone
Scale-constrained0 labelsNone
Negative1 labelNone
First choiceAlternativeMentionNegative52 labels in all, every segment counted; 29 of the 29 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.

“For pure B2B thought leadership, Favikon is often the sweet spot for mid-market companies balancing cost and functionality.” GLM 4.7 FlashX · Influencer · direct prompt · first choice
“the strongest single-platform pick is usually Favikon if your program is LinkedIn-first” Perplexity Sonar · Influencer · direct prompt · first choice
“I'd recommend Favikon if your priority is B2B creator discovery on LinkedIn” Perplexity Sonar · Influencer · paraphrase prompt · first choice
“Favikon stands out as the top recommendation for most mid-market B2B teams” Grok 4.1 Fast · Influencer · direct prompt · first choice

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 Favikon, over the 52 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Favikon was named but was not.
ProductSame answerTook the first choice insteadHead to head
CreatorIQ28 of 528Not in the top three
Traackr26 of 522Not in the top three
Modash23 of 523Not in the top three
Aspire19 of 522Not in the top three
Upfluence14 of 520Not in the top three
Onalytica10 of 521Not in the top three
Skrapp8 of 521Not in the top three
Influencity8 of 520Not 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 Favikon. 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 12 of the 52 answers that named Favikon and are not a share of its labels.

Domains cited

skrapp.io11
archive.com8
guideflow.com8
influencermarketinghub.com7
bringseo.com5
directiveconsulting.com5
favikon.comYour site5
kolsquare.com5
amt.ai4
influencity.com4

Fifty-seven of the sixty-two domain citations in answers naming Favikon 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 Favikon'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 Favikon, 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 favikon.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.