Audio and podcast advertising · October 2026 Edition
StackAdapt vs Spotify Audience Network
Eight of fourteen models named StackAdapt first on the direct prompt; zero named Spotify Audience Network. StackAdapt was named by eleven of the fourteen models and Spotify Audience Network by six and StackAdapt carries 19 labels and Spotify Audience Network 10, 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%10%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#7A position in a field of 11; printed, not drawn.
Labels1910A 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 Spotify Audience Network · 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 modelsSpotify Audience Network
Direct80
Paraphrase21
Comparative01
Budget-constrained00
Scale-constrained10
Negative011 against Spotify Audience Network
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 Spotify Audience Network 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 Spotify Audience Network first choice named as an alternative argued againstblank: not namedEach cell is one answer, StackAdapt on the left and Spotify Audience Network on the right.The direct prompt
The plain question, one answer per model, grouped by where StackAdapt and Spotify Audience Network stood in it.
StackAdapt first, Spotify Audience Network an alternative
8 of 14 modelsSpotify Audience Network 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
Level: the same share of first choices.
StackAdapt0%#9 of 10Spotify Audience Network0%#– of 10Mid-marketThe figures above
StackAdapt leads by eighteen points.
StackAdapt20%#2 of 11Spotify Audience Network2%#7 of 11Enterprise
StackAdapt leads by twelve points.
StackAdapt17%#1 of 14Spotify Audience Network4%#9 of 14What the models said about StackAdapt
No label in this category carried a quote.
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
Also compared
AudioGo vs StackAdaptAudioGo vs Spotify Audience NetworkStackAdapt vs Spotify Ads ManagerStackAdapt vs AcastStackAdapt vs Libsyn AdsStackAdapt vs Triton DigitalStackAdapt vs Spotify Ad StudioSpotify Ads Manager vs Spotify Audience NetworkAcast vs Spotify Audience NetworkLibsyn Ads vs Spotify Audience NetworkTriton Digital vs Spotify Audience NetworkSpotify Audience Network 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.