What is PodSEO?
PodSEO provides podcasters with AI-driven tools to enhance their content's visibility across major platforms and AI assistants. The platform offers keyword optimization features that track search terms across Apple Podcasts, Spotify, and YouTube, helping creators align their content with listener intent. It also includes metadata optimization with smart suggestions for titles, descriptions, and tags to improve discoverability.
Advanced analytics powered by artificial intelligence deliver real-time insights into performance trends and audience engagement. A unique feature tracks where AI assistants like ChatGPT, Claude, Perplexity, and Gemini recommend podcasts, giving users a competitive edge in emerging discovery channels. The platform supports benchmarking against industry trends and competitor analysis to inform growth strategies.
Features
- Keyword Optimization: Discover what your audience searches for across Apple Podcasts, Spotify, and YouTube to optimize podcast content
- Metadata Optimization: Get smart suggestions for titles, descriptions, and tags to improve visibility and discoverability
- AI-Powered Analytics: Track performance in real time with insights that spot trends and provide growth suggestions
- AI Visibility Tracking: Monitor where ChatGPT, Claude, Perplexity, and Gemini recommend your podcast before competitors do
- Benchmarking Tools: Compare your performance to industry trends and similar podcasts for strategic insights
- Audience Insights: Track listener demographics, preferences, and engagement patterns to understand your audience better
Use Cases
- Optimizing podcast episodes for better search rankings on Spotify and Apple Podcasts
- Improving metadata (titles, descriptions, tags) to increase podcast discoverability
- Tracking where AI assistants recommend podcasts to gain competitive advantage
- Analyzing audience search behavior to create content that matches listener intent
- Benchmarking podcast performance against competitors and industry standards
- Monitoring keyword performance across multiple podcast platforms simultaneously