# Livestorm vs WebinarJam: which do AI models recommend for webinars, October 2026

GTM AI Recommendation Index, October 2026 Edition, Webinar and virtual event platforms. Six of fourteen models named Livestorm first on the direct prompt; zero named WebinarJam. Page: https://gtm-ai-index.com/marketing/webinar-virtual-events/livestorm-vs-webinarjam/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Livestorm | 25% | #1 of 16 | 4% | 52 | 13 of 14 |
| WebinarJam | 3% | #8 of 16 | 52% | 25 | 13 of 14 |

## The direct prompt, model by model

- Claude Haiku 4.5: livestorm first (first choices: Livestorm) (alternatives: Demio, GoTo Webinar, Goldcast, Zoom Webinars)
- Gemini 3.5 Flash: livestorm first (first choices: Livestorm) (alternatives: Airmeet, Contrast, Demio, Goldcast)
- Mistral Small: livestorm first (first choices: GoTo Webinar, Livestorm)
- DeepSeek V4 Flash: livestorm first (first choices: Livestorm) (alternatives: Demio, GoTo Webinar, Zoom Webinars)
- Llama 4 Maverick: livestorm first (first choices: Livestorm)
- Muse Glimmer 30B: livestorm first (first choices: Demio, Livestorm) (alternatives: Zoom Video Webinars, Zuddl)
- Grok 4.1 Fast: neither first, one named (first choices: GoTo Webinar) (alternatives: Demio, Livestorm, ON24, RingCentral Events, Webex Webinars, Zoom Webinars)
- Qwen 3.7 Flash: neither first, one named (first choices: Goldcast) (alternatives: Livestorm, Zoom Webinars)
- Kimi K2: neither first, one named (first choices: Demio, GoTo Webinar) (alternatives: Livestorm, RingCentral Events, Zoom Webinars)
- GPT-5.4 mini: neither named (first choices: ON24) (alternatives: Bizzabo, Cvent, Zoom Webinars)
- Perplexity Sonar: neither named (first choices: Airmeet, Demio) (alternatives: GoTo Webinar)
- GLM 4.7 FlashX: neither named (first choices: Zoom Webinars) (alternatives: Airmeet, ON24, RingCentral Events, Webex Webinars, WebinarNinja)
- MiniMax M2.5: neither named (first choices: BigMarker, Goldcast) (alternatives: RingCentral Events, Zoom Webinars)
- GPT-6 Luna: neither named (first choices: Goldcast) (alternatives: ON24, Zoom Webinars)

## What the models said about Livestorm

- "Platforms like Livestorm charge per attendee, which can get expensive as you grow." (Kimi K2, budget prompt, soft negative)
- "Quick trials, but caps hit fast" (Grok 4.1 Fast, budget prompt, soft negative)
- "I'd recommend Livestorm if your priority is a browser-based platform with strong CRM sync and easy team collaboration." (Perplexity Sonar, paraphrase prompt, first choice)
- "Platforms like Demio, Livestorm, or WebinarGeek allow presenters and attendees to join with a single click" (Gemini 3.5 Flash, negative prompt, first choice)
- "Best all-around for B2B marketing teams | Livestorm (browser-based, great engagement tools, scales to 3,000)" (DeepSeek V4 Flash, scale prompt, first choice)

## What the models said about WebinarJam

- "Contains high or critical access control vulnerabilities (research showed attackers could easily become a host)" (GLM 4.7 FlashX, negative prompt, hard negative)
- "these simulated webinars can feel highly deceptive to audiences, which can damage your brand's trust" (Gemini 3.5 Flash, negative prompt, hard negative)
- "WebinarJam holds notoriously low customer service scores (often hovering around 1.5/5 stars)" (Gemini 3.5 Flash, negative prompt, hard negative)
- "The best webinar and virtual event platform for a company with a limited budget is WebinarJam." (Llama 4 Maverick, budget prompt, first choice)
- "Best budget pick for regular webinars: WebinarJam Starter" (GPT-6 Luna, budget prompt, first choice)
- "For webinars specifically, consider platforms like Livestorm, Zoom Webinars, ON24, and WebinarJam" (Llama 4 Maverick, scale prompt, alternative)

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.