Goldcast vs Airmeet
Three of fourteen models named Goldcast first on the direct prompt; one named Airmeet. Goldcast was named by thirteen of the fourteen models and Airmeet by eleven and Goldcast carries 27 labels and Airmeet 31, so the shares are not directly comparable.
Named in three categories this edition.
Named in one category this edition.
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; every quote names the model and the prompt it came from. Both figures come from the webinar and virtual event platforms page.
By framing
GoldcastFirst choices, of fourteen modelsAirmeet
Across every category in the November 2026 Edition, Goldcast and Airmeet were named in the same answer twenty-nine times, of the 83 answers naming Goldcast and the 69 naming Airmeet. In those answers Airmeet took the first choice two times and Goldcast three.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | ||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | | | | |||
| Perplexity Sonar | | | | |||
| Grok 4.20 | | | | | | |
| Mistral Small | | | ||||
| DeepSeek V4 Flash | | | | | ||
| Llama 4 Maverick | | | ||||
| Qwen 3.7 Flash | | |||||
| Kimi K2 | | | | |||
| GLM 4.7 FlashX | | | ||||
| MiniMax M2.5 | | | | |||
| GPT-6 Luna | | | ||||
| Muse Glimmer 30B | | | |
Goldcast Airmeet first choice named as an alternative argued againstblank: not namedEach cell is one answer, Goldcast on the left and Airmeet on the right.The direct prompt
Goldcast first, Airmeet an alternative
3 of 14 modelsAirmeet was named in the answer but not as the choice, or not at all.Airmeet first, Goldcast an alternative
1 of 14 modelsGoldcast was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
7 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
3 of 14 modelsThe answer made no first choice from these two in this category.Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
Goldcast0%#– of 14Airmeet0%#9 of 14What the models said about Goldcast
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“relatively new player in the market, and its pricing is not transparent” Llama 4 Maverick · negative prompt · soft negative
“My default pick would be Goldcast for a mid-sized B2B company” GPT-6 Luna · paraphrase prompt · first choice
“Goldcast — Best Overall for B2B Marketing & Growth” Gemini 3.5 Flash · paraphrase prompt · first choice
“Goldcast – *Best Overall for B2B Marketing Teams*” Gemini 3.5 Flash · direct prompt · first choice
What the models said about Airmeet
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“describe it as a "cautionary tale" due to poor business practices, sudden trust breaches, disappointing performance, and integration limitations” Grok 4.20 · negative prompt · hard negative
“Avoid or approach with extreme caution: WebinarJam, Airmeet (due to business ethics), and Events.com.” Kimi K2 · negative prompt · hard negative
“G2 reviewers report capacity issues with the virtual backstage and problems queueing up speakers” Claude Haiku 4.5 · negative prompt · soft negative
“Airmeet and Livestorm are the top recommendations due to their strong feature sets” Mistral Small · direct prompt · first choice
“Airmeet is best for mid-market and enterprise B2B teams prioritizing branded engagement” Llama 4 Maverick · paraphrase prompt · first choice
“Airmeet, Remo, and SpatialChat differentiate by creating “close‑to‑in‑person” networking experiences.” MiniMax M2.5 · comparative prompt · alternative
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.