Intercom vs Product Fruits
Four of twelve models named Intercom first on the direct prompt; two named Product Fruits. Intercom was named by twelve of the twelve models and Product Fruits by seven and Intercom carries 38 labels and Product Fruits 12, so the shares are not directly comparable.
United States, founded 2011. Named in ten categories this edition.
Named in two categories this edition.
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
IntercomFirst choices, of twelve modelsProduct Fruits
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| 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 | | | |
Intercom Product Fruits first choice named as an alternative argued againstblank: not namedEach cell is one answer, Intercom on the left and Product Fruits on the right.The direct prompt
Both were the first choice
1 of 12 modelsThe answer named them together, and the judge labeled each a first choice.Intercom first, Product Fruits an alternative
3 of 12 modelsProduct Fruits was named in the answer but not as the choice, or not at all.Product Fruits first, Intercom an alternative
1 of 12 modelsIntercom was named in the answer but not as the choice, or not at all.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.Neither was named
3 of 12 modelsThe answer made no first choice from these two in this category.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
Intercom7%#3 of 12Product Fruits4%#8 of 12Intercom20%#1 of 15Product Fruits5%#5 of 15Intercom23%#1 of 13Product Fruits2%#– of 13What the models said about Intercom
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“If you are a small-to-medium business on a tight or predictable budget, avoid Intercom's default AI tiers.” Gemini 3.5 Flash · negative prompt · hard negative
“I'd usually recommend Intercom if your goal is product messaging plus broader customer communications in one place.” GPT-5.4 mini · paraphrase prompt · first choice
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
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.