Audion has launched a new AI product it says is designed to make digital audio advertising more outcome-driven, by turning campaign objectives into structured media plans and optimising delivery while campaigns are live.
The company, which positions itself as a global specialist in digital audio, said the launch responds to persistent challenges in the channel, including fragmentation across listening environments, a growing range of ad formats, and the manual work involved in selecting content across podcasts, streaming, digital radio, and vodcasts. Audion also pointed to a common measurement constraint: performance insights that arrive after campaigns end, leaving limited scope for in-flight improvement.
Branded “Audion AI”, the tool is described by the company as an AI agent that can translate objectives such as reach, brand uplift, drive-to-store, and conversion metrics into ready-to-activate strategies from a single prompt. Audion said the agent is intended to help it structure and scale media recommendations consistently across its markets.
Audion said the resulting “multi-audio” plans cover traditional digital audio placements and “audio-in-video” — content that sits within video platforms but is primarily consumed through listening. The company said its agent analyses inventory and signals across major listening destinations including Spotify, Deezer, Apple Podcasts, YouTube, and Amazon Music, then coordinates investment across the environments it expects to be most effective against the stated objective.
A key claim in the launch materials is continuous optimisation: Audion said the agent can adjust activations during delivery to maximise results across the marketing funnel, from consideration through to online conversion. It said the system’s recommendations and optimisation are based on an intelligence layer that aggregates contextual and performance signals from across the audio landscape — including podcasts, streaming, digital radio, and video podcasts — combined with Audion’s own data from campaigns, brand lift work, drive-to-store analyses, and historical performance indicators.
To build contextual understanding at scale, Audion said it analyses the equivalent of almost 100 years of audio and video content every month. The company said this approach is intended to improve content selection and predict performance using historical campaign results combined with brand lift and drive-to-store studies.
Arthur Larrey, co-founder and CEO of Audion, said: “Audio is one of the oldest mediums; one of its strengths is its ability to continually evolve and AI is enabling it to reinvent itself in line with what brands need to fully engage with their target audiences. At Audion, we have a proven track record of enhancing our offering by deploying AI – long before it became the ‘must have’ that it is today. Our new tool is dedicated to maximising brand performance – from brand metrics through to final conversion.”
The launch lands as advertisers put more pressure on measurable outcomes across channels. In the UK, IAB UK has forecast digital ad spend will reach £45bn by 2026, with growth of around 10% year on year in both 2025 and 2026. In the US, IAB’s podcast advertising revenue study projects podcasting will exceed $2bn in revenue in 2024 and rise to nearly $2.6bn by 2026, with measurement improvements and the evolution of programmatic buying cited as contributors to the outlook.
Audion said it has been building AI-based advertising and content tools since its launch in 2018, including text-to-speech, dynamic creative optimisation, and pre-campaign evaluation tools designed to test creatives before they go live. Alongside the Audion AI announcement, the company also revealed an updated brand identity, which it said is intended to better reflect its positioning at the intersection of digital audio, technology, and marketing performance.
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