GTM AI Index
Index Customer In-app messaging › Product Fruits vs Appcues
In-app messaging and customer communications · September 2026 Edition

Product Fruits vs Appcues

Two of twelve models named Product Fruits first on the direct prompt; one named Appcues. Product Fruits was named by seven of the twelve models and Appcues by twelve and Product Fruits carries 12 labels and Appcues 35, so the shares are not directly comparable.

Product Fruits

accepted challenger

Named in two categories this edition.

Appcues

accepted challenger

Named in three categories this edition.

First-choice share5%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%23%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#7A position in a field of 15; printed, not drawn.
Labels1235A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Product Fruits reading right to left. Rank and label count are printed, not drawn.Userpilot was named alongside these two in ten of the twelve direct answers. Intercom vs Product Fruits · Intercom vs Appcues · Userpilot vs Product Fruits

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 in-app messaging and customer communications page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
Product FruitsFirst choices, of twelve modelsAppcues
Direct212 against Appcues
Paraphrase001 against Appcues
Comparative11
Budget-constrained003 against Appcues
Scale-constrained00
Negative002 against Appcues
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 Product Fruits and Appcues 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
Product Fruits Appcues first choice named as an alternative argued againstblank: not namedEach cell is one answer, Product Fruits on the left and Appcues on the right.

The direct prompt

The plain question, one answer per model, grouped by where Product Fruits and Appcues stood in it.

Product Fruits first, Appcues an alternative

2 of 12 modelsAppcues was named in the answer but not as the choice, or not at all.
Qwen 3.7 FlashIntercom, Product Fruits alternatives: Appcues, Userpilot
MiniMax M2.5Product Fruits, Userpilot alternatives: Appcues, Customer.io, Intercom, Pendo

Appcues first, Product Fruits not the choice

1 of 12 modelsProduct Fruits was named in the answer but not as the choice, or not at all.
GPT-5.4 miniAppcues alternatives: Intercom, Pendo, Userpilot

Neither was the first choice, one was named

6 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Intercom alternatives: Customer.io, Product Fruits, Userpilot
Perplexity SonarIntercom alternatives: Appcues, Userpilot
Mistral SmallUserpilot alternatives: Intercom, Product Fruits
DeepSeek V4 FlashIntercom alternatives: Appcues, Chameleon, Gleap, Userpilot
Kimi K2Userpilot alternatives: Appcues, Pendo
GLM 4.7 FlashXUserpilot alternatives: Appcues, Intercom, Product Fruits, UserGuiding

Neither was named

3 of 12 modelsThe answer made no first choice from these two in this category.
Gemini 3.5 FlashCustomer.io, Gleap, Userpilot alternatives: Front, Userflow
Grok 4.1 FastStream Chat alternatives: CometChat, Intercom
Llama 4 Maverickno first choice

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
Level: the same share of first choices.
Product Fruits4%#8 of 12
Appcues4%#7 of 12
The full small business standing →
Mid-marketThe figures above
Product Fruits leads by two points.
Product Fruits5%#5 of 15
Appcues2%#7 of 15
The full mid-market standing →
Enterprise
Product Fruits leads by two points.
Product Fruits2%#– of 13
Appcues0%#11 of 13
The full enterprise standing →

What the models said about Product Fruits

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

“Product Fruits is the top pick for web-based SaaS, combining no-code in-app announcements with Flows” Claude Haiku 4.5 · comparative prompt · first choice
“Top Pick: Product Fruits ... is currently the top-rated specialist.” Qwen 3.7 Flash · direct prompt · first choice
“Product Fruits (Top Pick for B2B SaaS)” MiniMax M2.5 · direct prompt · first choice

What the models said about Appcues

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

“Pendo and Appcues dominated this space, but they have grown increasingly expensive and complex” Gemini 3.5 Flash · paraphrase prompt · soft negative
“Its native analytics are relatively shallow... Its pricing can also scale up quickly” Gemini 3.5 Flash · direct prompt · soft negative
“Best overall for mid-market B2B product teams: Appcues if your main goal is onboarding, adoption, and lifecycle messaging” GPT-5.4 mini · direct prompt · first choice
“The industry standard for mid-market SaaS; focuses on speed of deployment... Use Category 1 (Appcues/Userpilot)” Qwen 3.7 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.