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Index › GTM › Products › UserReplay · November 2026 Edition

Session replay and heatmaps · Named, not ranked

UserReplay

–Too few to rank

5/14Models named it

0First choices

5Warnings

November 2026 Edition · all company sizes counted.

Ranked inSession replay and heatmaps #56 mid-market

What AI models recommend

Named, too few times to rank.

A product needs 10 labels in a category before a share is stated. UserReplay has 4.

Why models recommend it

No positive label carried a quote.

What gives them pause

“Frequently cited in "no boundaries" exfiltration papers and compliance guides as high-risk.”Grok 4.20 · Negative question · warning

“Found on sites like Argos; similar data capture concerns”Kimi K2 · Negative question · warning

“Part of the original Princeton study on privacy issues”MiniMax M2.5 · Negative question · warning

“Sunset/absorbed into older analytics suites.”Gemini 3.5 Flash · Negative question · warning

Also on the shortlist

The products named in the same answers as UserReplay, over the 5 answers that named it, and how often each was the first choice instead.

Product	Named together	Picked instead
Fullstory	5	0	View →
Hotjar	5	0	View →
SessionCam	5	0	View →
Clicktale	4	0	View →
Smartlook	4	0	View →
Yandex Metrica	4	0	View →
Microsoft Clarity	3	0	View →
Mouseflow	3	0	View →
OpenReplay	2	2	View →
PostHog	2	1	View →

A side-by-side page exists where both products are among a category's top eight.

How this is measured

Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.

Gane sells AI visibility software. No company can pay to change a result.

Read the method →

Sources returned with these answers

The sites and pages the answers that named UserReplay came back with. A fact about retrieval, not a cause of the answer.

Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 5 of the 5 answers that named UserReplay and are not a share of its labels.

Domains cited

amplitude.com4

docs.google.com3

ftc.gov3

loeb.com3

blog.citp.princeton.edu2

cnil-d10.cnil.fr2

cnil.fr2

fpf.org2

github.com2

helpnetsecurity.com2

No domain is on file for UserReplay, so its own site is not marked.

Pages cited

amplitude.com/blog/session-replay.md3

docs.google.com/document/d/1H0pfymXB4q8nTQ-SNK6_8C-iMYLSO0oYiBFw-Npcsn0/mobilebasic3

ftc.gov/system/files/documents/public_events/1223263/panel04_no_boundaries.pdf3

blog.citp.princeton.edu/2017/11/15/no-boundaries-exfiltration-of-personal-data-by-session-2

cnil-d10.cnil.fr/sites/default/files/2026-02/recommendation_draft_session_replay.pdf2

fpf.org/blog/understanding-session-replay-scripts-a-guide-for-privacy-professionals2

helpnetsecurity.com/2017/11/20/session-replay-data-leak2

loeb.com/en/insights/publications/2025/07/understanding-session-replay-legal-risks-and-how2

Pages are listed as the models cited them.

By model

How each model answered on UserReplay across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

Model	Warning	Labels
Claude Haiku 4.5	0	0
GPT-5.4 mini	0	0
Gemini 3.5 Flash	1	1
Perplexity Sonar	0	0
Grok 4.20	1	1
Mistral Small	0	0
DeepSeek V4 Flash	0	0
Llama 4 Maverick	0	0
Qwen 3.7 Flash	0	0
Kimi K2	1	1
GLM 4.7 FlashX	0	0
MiniMax M2.5	1	1
GPT-6 Luna	0	0
Muse Glimmer 30B	0	0