Heap

Named in 22 judge labels across 1 category by 6 of 6 models in the September 2026 Edition. 0 first choices, 6 negative labels. Every number here is derived from the raw labels under vendor table v2026-09-08.5.

Best standing

0% in Product analytics

Rank 5 of 32 products named in product analytics, criticized challenger. 0 of 6 models made it the first choice on the direct prompt; 27% of its 22 labels there were negative.

Standing by category

Every category where a model named Heap. 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
Product analytics	GTM data and infrastructure	0%	5 of 32	27%	22	criticized challenger

By model

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

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

What the models said for it

Verbatim evidence the judge attached to positive labels.

“If automatic interaction capture and the ability to define events retrospectively are priorities.” GPT-6 Astra · Product analytics · scale prompt · alternative

“Teams that want to explore behavior without defining every interaction upfront” GPT-6 Astra · Product analytics · comparative prompt · alternative

“Choose Heap if you want automatic tracking with minimal setup.” Perplexity Sonar Pro · Product analytics · comparative prompt · alternative

“Worth a look: Heap, if instrumentation discipline is your bottleneck” Claude Opus 5 · Product analytics · paraphrase 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.

“You should avoid seeking out or signing new contracts ... Heap Analytics: ... It no longer exists as a standalone company” Gemini 3.1 Pro · Product analytics · negative prompt · hard negative

“Heap — post-acquisition roadmap risk... acquired products typically see slower independent innovation” Claude Opus 5 · Product analytics · negative prompt · soft negative

“great for marketing and fast iteration, though it requires strict governance to avoid clutter” Gemini 3.1 Pro · Product analytics · scale prompt · soft negative

“collecting everything can produce privacy risk and a difficult-to-govern semantic layer” GPT-5.6 Sol · Product analytics · negative prompt · soft negative

Names read as Heap

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

Contentsquare (Formerly Heap) 1Heap (Contentsquare) 1Heap (by Contentsquare) 1Heap Analytics 1

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page gets a verified contact who is told when each edition publishes; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Heap, applied by version and listed in the change log; and a logo and one-line description supplied by the vendor and marked as such.

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.