GTM AI Index
Index Partner and channel Referrals › Ambassador vs FirstPromoter
Referral and partner programs · September 2026 Edition

Ambassador vs FirstPromoter

Two of twelve models named Ambassador first on the direct prompt; zero named FirstPromoter. Ambassador was named by eleven of the twelve models and FirstPromoter by eight and Ambassador carries 22 labels and FirstPromoter 16, so the shares are not directly comparable.

Ambassador

accepted challenger

Named in two categories this edition.

FirstPromoter

accepted challenger

Named in three categories this edition.

First-choice share8%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate9%6%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#6A position in a field of 11; printed, not drawn.
Labels2216A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Ambassador reading right to left. Rank and label count are printed, not drawn.Referral Rock was named alongside these two in eleven of the twelve direct answers. PartnerStack vs Ambassador · PartnerStack vs FirstPromoter · Referral Rock vs Ambassador

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 referral and partner programs page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
AmbassadorFirst choices, of twelve modelsFirstPromoter
Direct20
Paraphrase20
Comparative01
Budget-constrained01
Scale-constrained00
Negative002 against Ambassador · 1 against FirstPromoter
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 Ambassador and FirstPromoter 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
Ambassador FirstPromoter first choice named as an alternative argued againstblank: not namedEach cell is one answer, Ambassador on the left and FirstPromoter on the right.

The direct prompt

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

Ambassador first, FirstPromoter not the choice

2 of 12 modelsFirstPromoter was named in the answer but not as the choice, or not at all.
Perplexity SonarAmbassador alternatives: CustomerGauge, GrowSurf, Referral Rock
GLM 4.7 FlashXAmbassador, PartnerStack alternatives: GrowSurf, Referral Rock, impact.com

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.
Grok 4.1 FastReferral Rock alternatives: Ambassador, GrowSurf, Influitive
Mistral SmallReferral Rock alternatives: Ambassador, Cello, GrowSurf
DeepSeek V4 FlashReferral Rock alternatives: Ambassador, GrowSurf
Kimi K2Referral Rock alternatives: Ambassador, GrowSurf, Influitive

Neither was named

6 of 12 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Cello alternatives: Friendbuy, Influitive, Partnero, Referral Rock
GPT-5.4 miniReferral Rock alternatives: Friendbuy, Referral Factory
Gemini 3.5 FlashReferral Rock alternatives: GrowSurf, PartnerStack, impact.com Advocate
Llama 4 Maverickno first choice
Qwen 3.7 FlashCello alternatives: Friendbuy, GrowSurf, Referral Rock
MiniMax M2.5Referral Rock alternatives: Mention Me, impact.com

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
FirstPromoter leads by seven points.
FirstPromoter9%#6 of 12
Ambassador2%#– of 12
The full small business standing →
Mid-marketThe figures above
The order flips: Ambassador leads at mid-market.
Ambassador8%#4 of 11
FirstPromoter2%#6 of 11
The full mid-market standing →
Enterprise
Ambassador leads by eighteen points.
Ambassador18%#1 of 13
FirstPromoter0%#– of 13
The full enterprise standing →

What the models said about Ambassador

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

“Some 1-star reviews describe it as "HORRIBLE" with poor handling of migrations.” Grok 4.1 Fast · negative prompt · hard negative
“*Caution if you're a small business* — Sudden price increases ... Poor customer service” DeepSeek V4 Flash · negative prompt · soft negative
“For most mid-market B2B companies, Ambassador offers the best balance of features, pricing, and ease of use” GLM 4.7 FlashX · direct prompt · first choice
“I'd particularly recommend Journeybee or Ambassador as top choices” MiniMax M2.5 · paraphrase prompt · first choice
“Primary Recommendation: Ambassador ... built for complex B2B attribution” Qwen 3.7 Flash · paraphrase prompt · first choice

What the models said about FirstPromoter

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

“rely on cookies that get stripped by Safari ITP and ad blockers” Kimi K2 · negative prompt · soft negative
“Top Recommendation: FirstPromoter ($49/month) - Most practical option for small businesses” MiniMax M2.5 · budget prompt · first choice
“If you run SaaS, choose FirstPromoter (for deep billing logic)” Gemini 3.5 Flash · comparative prompt · first choice
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.