Intercom

Named in 27 judge labels across 1 category by 6 of 6 models in the September 2026 Edition. 0 first choices, 5 negative labels. Every number here is derived from the raw labels under vendor table v2026-09-08.5.

Best standing

0% in Helpdesk

Rank 7 of 35 products named in customer support and helpdesk, accepted challenger. 0 of 6 models made it the first choice on the direct prompt; 19% of its 27 labels there were negative.

Standing by category

Every category where a model named Intercom. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.

Category	Vertical	First choices	Rank	Negative rate	Labels	Quadrant
Customer support and helpdesk	Customer	0%	7 of 35	19%	27	accepted challenger

By model

How each model treated Intercom across every prompt where it was named. Six models, six prompts per category.

Model	Alternative	Mention	Negative	Labels
Claude Opus 5	4	0	2	6
Claude Opus 4.8	3	1	1	5
GPT-6 Astra	3	1	1	5
GPT-5.6 Sol	4	0	1	5
Gemini 3.1 Pro	3	1	0	4
Perplexity Sonar Pro	2	0	0	2

What the models said for it

Verbatim evidence the judge attached to positive labels.

“A strong candidate for a digital product where in-app messaging, chat, and AI-assisted support are central.” GPT-6 Astra · Helpdesk · scale prompt · alternative

“Choose Intercom instead if your product is a modern SaaS app where most support happens *in-product*” Claude Opus 4.8 · Helpdesk · direct prompt · alternative

“Consider Intercom if your support is deeply in-product and you want best-in-class AI/chat.” Claude Opus 4.8 · Helpdesk · paraphrase prompt · alternative

“You are a digital or product-led company emphasizing chat, in-app support and AI automation” GPT-5.6 Sol · Helpdesk · scale prompt · alternative

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.

“SLAs, HIPAA support, SSO, workload management and multibrand features are restricted to the top Expert plan.” GPT-5.6 Sol · Helpdesk · negative prompt · soft negative

“Intercom's shift toward resolution-based AI pricing draws similar unpredictability complaints to Zendesk's” Claude Opus 5 · Helpdesk · negative prompt · soft negative

“Intercom — if you need a predictable monthly bill ... Don’t evaluate it using seat pricing alone” GPT-6 Astra · Helpdesk · negative prompt · soft negative

“Unpredictable usage/AI-resolution-based billing; can get very expensive” Claude Opus 4.8 · Helpdesk · negative prompt · soft negative

Names read as Intercom

What the judge wrote, as written, with how often. The vendor table decides that these count as Intercom; a claim can dispute any of them.

Intercom/Fin 2Intercom Advanced/Expert 1Intercom Fin 1

Is this your product?

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It does not get any change to labels, shares or quadrants, any preview, or any say over which quotes appear. Sponsorship is separate: a sponsor funds categories or buyer dimensions and is named on what it funded, and the rules are the same for every sponsor.