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In-app messaging and customer communications · November 2026 Edition

Intercom vs Userpilot

Eleven of fourteen models named Intercom first on the direct prompt; four named Userpilot. Both were named by all fourteen models and Intercom carries 44 labels and Userpilot 28, so the shares are not directly comparable.

Intercom

endorsed leader

United States, founded 2011. Named in fourteen categories this edition.

Userpilot

accepted challenger

Named in eight categories this edition.

First-choice share38%12%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate9%4%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#3A position in a field of 12; printed, not drawn.
Labels4428A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Intercom reading right to left. Rank and label count are printed, not drawn.Intercom vs OneSignal · Intercom vs Appcues · Intercom vs Pendo

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen 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 fourteen models made each the first choice, per way of asking, and how many argued against it.
IntercomFirst choices, of fourteen modelsUserpilot
Direct1141 against Intercom
Paraphrase921 against Intercom
Comparative101 against Intercom
Budget-constrained001 against Intercom · 1 against Userpilot
Scale-constrained00
Negative00
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Across every category in the November 2026 Edition, Intercom and Userpilot were named in the same answer seventy times, of the 462 answers naming Intercom and the 265 naming Userpilot. In those answers Userpilot took the first choice four times and Intercom twenty-seven.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Intercom and Userpilot stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.20
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30B
Intercom Userpilot first choice named as an alternative argued againstblank: not namedEach cell is one answer, Intercom on the left and Userpilot on the right.

The direct prompt

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

Both were the first choice

2 of 14 modelsThe answer named them together, and the judge labeled each a first choice.
DeepSeek V4 FlashIntercom, Userpilot alternatives: Appcues, OneSignal, Vero
Kimi K2Intercom, Userpilot alternatives: OneSignal

Intercom first, Userpilot an alternative

9 of 14 modelsUserpilot was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Intercom alternatives: OneSignal
Gemini 3.5 FlashIntercom alternatives: Chameleon, Courier, Knock, Pendo, Userpilot
Perplexity SonarIntercom alternatives: Appcues, HubSpot, Knock, Userpilot
Mistral SmallIntercom alternatives: OneSignal, Userpilot, Vero
Llama 4 MaverickIntercom alternatives: CometChat, Product Fruits, Userpilot
Qwen 3.7 FlashIntercom alternatives: Customer.io, Knock, Userpilot
MiniMax M2.5Intercom alternatives: OneSignal, Userpilot
GPT-6 LunaIntercom alternatives: Appcues, Pendo, Zendesk Messaging
Muse Glimmer 30BIntercom alternatives: Appcues, OneSignal, Userpilot, Vero

Userpilot first, Intercom an alternative

2 of 14 modelsIntercom was named in the answer but not as the choice, or not at all.
Grok 4.20Userpilot alternatives: Appcues, Chameleon, Intercom, Pendo
GLM 4.7 FlashXPendo, Slack, Userpilot alternatives: Appcues, Microsoft Teams, RingCentral RingEX

Neither was named

1 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniAppcues alternatives: Customer.io, Pendo

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
Intercom leads by thirty-five points.
Intercom35%#1 of 16
Userpilot0%#8 of 16
The full small business standing →
Mid-marketThe figures above
Intercom leads by twenty-seven points.
Intercom38%#1 of 12
Userpilot12%#3 of 12
The full mid-market standing →
Enterprise
Intercom leads by seven points.
Intercom9%#3 of 15
Userpilot2%#9 of 15
The full enterprise standing →

What the models said about Intercom

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

“Braze, Intercom, and OneSignal based on proven implementation success within comparable industry verticals, depth of analytics and measurement” Muse Glimmer 30B · comparative prompt · first choice
“Intercom - a popular choice for mid-market B2B companies, offering a range of features including chat, voice/video, and AI moderation.” Llama 4 Maverick · direct prompt · first choice
“For most mid-market B2B companies, Intercom is the safest choice because it unifies messaging, support, and onboarding” Claude Haiku 4.5 · direct prompt · first choice

What the models said about Userpilot

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

“Userpilot (for product-led growth) or Intercom (for combined support + messaging) are the strongest picks” DeepSeek V4 Flash · direct 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.