AI Visibility Report for “podcastadCPMtrends”
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AI Search Engine Responses
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ChatGPT
BRAND (10)
SUMMARY
ChatGPT provides a detailed chronological analysis of podcast CPM trends, showing specific data points from 2022-2024. It highlights that average 60-second ad CPMs decreased 6% from $23.87 in 2022 to $22.58 in 2023, then rose to $22.91 by December 2023. The response includes monthly 2024 data starting with January at $21.69 and February at $21.99, emphasizing market resilience despite challenges.
REFERENCES (7)
Perplexity
BRAND (10)
SUMMARY
Perplexity offers a comprehensive breakdown of CPM ranges by ad placement type and format. It explains that mid-roll and host-read placements command the highest rates, with pre-roll at $12-$30, mid-roll at $25-$50+, and post-roll at $10-$20. The response emphasizes market segmentation and variability, noting that premium shows can reach $100+ CPM, with dynamic targeting driving pricing differentiation in 2024-2025.
REFERENCES (9)
Google AIO
BRAND (10)
SUMMARY
No summary available.
Strategic Insights & Recommendations
Dominant Brand
Libsyn and Radio Ink are the most referenced sources in ChatGPT's response, providing the primary data for podcast advertising rate analysis.
Platform Gap
ChatGPT focuses on historical trends and specific numerical data, while Perplexity emphasizes current market segmentation and placement-based pricing strategies.
Link Opportunity
Both platforms heavily cite industry sources and research, creating opportunities for podcast advertising platforms and analytics companies to become authoritative data sources.
Key Takeaways for This Prompt
Podcast CPM rates show both historical decline and current market variability, indicating a maturing but volatile advertising ecosystem.
Mid-roll and host-read advertisements consistently command premium pricing across all analyzed data sources.
Market segmentation is driving significant CPM range variations, with premium shows achieving rates exceeding $100 CPM.
The podcast advertising market demonstrates resilience with pricing differentiation becoming more sophisticated through dynamic targeting.
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