Fullstory

Named in 9 judge labels across 1 category by 5 of 6 models in the September 2026 Edition. 0 first choices, 3 negative labels. Every number here is derived from the raw labels under vendor table v2026-09-08.5.

Standing

9 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Fullstory was named 9 times in Product analytics, where Amplitude led with 38%. The labels and the evidence are below, counted exactly.

Standing by category

Every category where a model named Fullstory. 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%	11 of 32	33%	9	under 10 labels · led by Amplitude at 38%

By model

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

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

What the models said for it

Verbatim evidence the judge attached to positive labels.

“Choose FullStory if your main need is session replay and UX diagnosis.” Perplexity Sonar Pro · Product analytics · comparative prompt · alternative

“Best for visual UX investigation and debugging: FullStory” GPT-5.6 Sol · Product analytics · comparative prompt · alternative

“worth adding when diagnosing UX problems is the priority” GPT-6 Astra · Product analytics · comparative 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.

“I would avoid the free tier unless legal and privacy teams explicitly accept those terms.” GPT-5.6 Sol · Product analytics · negative prompt · hard negative

“These tools can collect broad behavioral or DOM data and require careful consent, masking and exclusion configuration.” GPT-5.6 Sol · Product analytics · negative prompt · soft negative

“useful for replay and UX diagnosis, but not a pure product-analytics-first choice” Perplexity Sonar Pro · Product analytics · negative prompt · soft negative

Names read as Fullstory

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

FullStory 4Fullstory Free 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 Fullstory, 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.