Audio and podcast advertising · October 2026 Edition
StackAdapt vs Libsyn Ads
Eight of fourteen models named StackAdapt first on the direct prompt; zero named Libsyn Ads. StackAdapt was named by eleven of the fourteen models and Libsyn Ads by eleven and StackAdapt carries 19 labels and Libsyn Ads 22, so the shares are not directly comparable.
Named in eight categories this edition.
Named in one category this edition.
First-choice share20%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%9%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#5A position in a field of 11; printed, not drawn.
Labels1922A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, StackAdapt reading right to left. Rank and label count are printed, not drawn.AudioGo vs StackAdapt · AudioGo vs Libsyn Ads · StackAdapt vs Spotify Ads Manager
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
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
StackAdaptFirst choices, of fourteen modelsLibsyn Ads
Direct80
Paraphrase21
Comparative00
Budget-constrained001 against Libsyn Ads
Scale-constrained10
Negative041 against Libsyn Ads
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where StackAdapt and Libsyn Ads stood in it.
| 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 | | |
StackAdapt Libsyn Ads first choice named as an alternative argued againstblank: not namedEach cell is one answer, StackAdapt on the left and Libsyn Ads on the right.The direct prompt
The plain question, one answer per model, grouped by where StackAdapt and Libsyn Ads stood in it.
StackAdapt first, Libsyn Ads not the choice
8 of 14 modelsLibsyn Ads was named in the answer but not as the choice, or not at all.Claude Haiku 4.5StackAdapt alternatives: Acast, Hey Sid, Spotify Advertising
Gemini 3.5 FlashStackAdapt alternatives: AdsWizz, Demandbase, SXM Media, Terminus
Perplexity SonarStackAdapt alternatives: Spotify Ads Manager
Grok 4.1 FastStackAdapt alternatives: AdsWizz AudioMax, Megaphone, Spotify Audience Network, The Trade Desk
Mistral SmallStackAdapt, The Trade Desk alternatives: Spotify Advertising
DeepSeek V4 FlashStackAdapt alternatives: AudioGo, Intentsify
Qwen 3.7 FlashStackAdapt alternatives: Hey Sid
MiniMax M2.5StackAdapt alternatives: Spotify Ads, The Trade Desk
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.Llama 4 MaverickTriton Digital alternatives: AudioGo, StackAdapt
GLM 4.7 FlashXHey Sid alternatives: Libsyn Ads, Spotify Ads, StackAdapt
Neither was named
4 of 14 modelsThe answer made no first choice from these two in this category.GPT-5.4 miniSpotify Ads Manager alternatives: Amazon Ads, Amazon DSP
Kimi K2Acast, AudioGo alternatives: B2B PodPros, Hey Sid, Spotify Ad Studio
GPT-6 LunaSpotify Ads Manager alternatives: Acast
Muse Glimmer 30BAudioGo alternatives: Hey Sid, Spotify Ad Studio
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
The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Libsyn Ads leads by four points.
Libsyn Ads4%#5 of 10StackAdapt0%#9 of 10Mid-marketThe figures above
The order flips: StackAdapt leads at mid-market.
StackAdapt20%#2 of 11Libsyn Ads2%#5 of 11Enterprise
StackAdapt leads by seventeen points.
StackAdapt17%#1 of 14Libsyn Ads0%#– of 14What the models said about StackAdapt
No label in this category carried a quote.
What 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
Also compared
AudioGo vs StackAdaptAudioGo vs Libsyn AdsStackAdapt vs Spotify Ads ManagerStackAdapt vs AcastStackAdapt vs Triton DigitalStackAdapt vs Spotify Audience NetworkStackAdapt vs Spotify Ad StudioSpotify Ads Manager vs Libsyn AdsAcast vs Libsyn AdsLibsyn Ads vs Triton DigitalLibsyn Ads vs Spotify Audience NetworkLibsyn Ads vs Spotify Ad StudioAll twenty-eight head-to-head pages and the full audio advertising standing
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.