Libsyn Ads vs Spotify Audience Network
Zero of fourteen models named Libsyn Ads first on the direct prompt; zero named Spotify Audience Network. Libsyn Ads was named by eleven of the fourteen models and Spotify Audience Network by six and Libsyn Ads carries 22 labels and Spotify Audience Network 10, so the shares are not directly comparable.
Named in one category 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 audio and podcast advertising page.
By framing
Libsyn AdsFirst choices, of fourteen modelsSpotify Audience Network
Across every category in the October 2026 Edition, Libsyn Ads and Spotify Audience Network were named in the same answer eight times, of the 39 answers naming Libsyn Ads and the 27 naming Spotify Audience Network. In those answers Spotify Audience Network took the first choice one time and Libsyn Ads zero.
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 4.1 Fast | | | | | ||
| 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 | | | |
Libsyn Ads Spotify Audience Network first choice named as an alternative argued againstblank: not namedEach cell is one answer, Libsyn Ads on the left and Spotify Audience Network on the right.The direct prompt
Neither was the first choice, one was named
2 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
12 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
Libsyn Ads4%#5 of 10Spotify Audience Network0%#– of 10Libsyn Ads2%#5 of 11Spotify Audience Network2%#7 of 11Spotify Audience Network4%#9 of 14Libsyn Ads0%#– of 14What the models said about Libsyn Ads
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Drawbacks: Limited to specific genres and audiences; low scalability for general consumer brands.” Muse Glimmer 30B · negative prompt · soft negative
“Cheaper CPM (~$12-26), but bigger min.” Grok 4.1 Fast · budget prompt · soft negative
“For better alternatives, consider platforms like Podbean or Libsyn Ads, which tend to offer more favorable terms for creators.” Claude Haiku 4.5 · negative prompt · first choice
“Libsyn Ads (70/30 split, $24-26 CPM, transparent) | Published rates, IAB-aligned, established track record” DeepSeek V4 Flash · negative prompt · first choice
“Safer alternatives: Libsyn Ads (transparent 70/30 splits for mid-tier shows)” Grok 4.1 Fast · negative prompt · first choice
What the models said about Spotify Audience Network
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Drawbacks: Platform bias toward Spotify-hosted content; limited third-party podcast inventory access.” Muse Glimmer 30B · negative prompt · soft negative
“Stick to well-known, established platforms such as: Spotify Audience Network (for Spotify-hosted shows)” Qwen 3.7 Flash · negative prompt · first choice
“the most versatile and effective recommendation is the Spotify Audience Network (SAUN)” Qwen 3.7 Flash · paraphrase prompt · first choice
“Choose Spotify if you want big reach + self-serve simplicity.” GPT-5.4 mini · comparative prompt · first choice
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.