{"podcast":{"title":"Answer Engine Optimization (AEO): The AI Search Podcast","slug":"answer-engine-optimization-aeo-the-ai-search-podcast-7756998","podcast_index_feed_id":7756998,"rss_url":"https://feeds.transistor.fm/aeo-engine-ai-search-show","website_url":"https://aeoengine.ai","image_url":"https://img.transistorcdn.com/zSuBki8a-UnBBIDVwHrDe-F3ZlgSGxtUolU9c1LN8sM/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8yNGE4/MjdjYmFkYTNjNDBj/NWU4ZTFiMzdkZTI5/YWVhYy5wbmc.jpg","author":"AEO Engine","episode_count":112,"summary":"Answer Engine Optimization (AEO) is how your brand gets cited, recommended, and surfaced inside ChatGPT, Perplexity, Google AI Overviews, and Claude. This is the daily podcast for marketers, founders, and SEOs who want their brand to be the answer AI engines give. Each episode breaks down a new AEO tactic, a real algorithm change, or a brand that just won (or lost) visibility inside AI search. Topics include: how ChatGPT decides which brands to recommend, how Perplexity chooses its sources, how Google AI Overviews differ from traditional SERPs, how to structure content for LLM citation, schema strategies for answer engines, and the emerging field of Generative Engine Optimization (GEO). Brought to you by AEO Engine — the platform brands use to monitor, measure, and grow their AI search visibility. Whether you're a B2B marketer, DTC founder, or in-house SEO, this podcast turns the daily chaos of AI search into a concrete playbook you can execute on. New episode every morning. Transcripts on every episode. Subscribe to stay ahead of how AI engines rank and recommend brands.","last_synced_at":"2026-06-17T08:18:55.452836+00:00","page_url":"https://stenobird.com/podcast/answer-engine-optimization-aeo-the-ai-search-podcast-7756998"},"episode":{"title":"Perplexity's $500M ARR Pivot: Why AI Agents Beat Search","slug":"perplexity-s-500m-arr-pivot-why-ai-agents-beat-search","published_at":"2026-05-05T14:14:14+00:00","page_url":"https://stenobird.com/podcast/answer-engine-optimization-aeo-the-ai-search-podcast-7756998/perplexity-s-500m-arr-pivot-why-ai-agents-beat-search","show_page_url":"https://stenobird.com/podcast/answer-engine-optimization-aeo-the-ai-search-podcast-7756998","url":"https://share.transistor.fm/s/a8f95aaf","audio_url":"https://media.transistor.fm/a8f95aaf/c8432e0e.mp3","summary":"Perplexity AI's jump to $500M ARR is driven by a fundamental pivot from information retrieval to task-executing AI agents. This shift creates a new landscape for brands where being a cited source in an agent's workflow is more critical than traditional search rankings.","meta_description":"Explore how Perplexity AI's pivot to AI agents and usage-based pricing drove $500M ARR and what it means for the future of Answer Engine Optimization (AEO…","key_points":["Main idea: Perplexity transitioned from a chatbot search engine to an agentic platform capable of executing real-world tasks like bookings","Failure mode: Usage-based pricing models risk user churn if competitors offer flat-rate alternatives or if quality drops during scaling","Practical takeaway: Brands must shift from keyword optimization to task-based optimization to ensure they are the cited answer in agent workflows","Strategic shift: Perplexity's decision to remove advertising preserves user trust but places immense pressure on the utility of their agents","Market opportunity: The rise of agentic search creates a massive opening for brands to capture high-converting traffic through structured data and authority"],"chapters":[{"start_ms":0,"title":"Introduction to the AEO Engine","summary":"An introduction to the podcast's focus on AI search distribution and the significance of Perplexity's recent revenue surge."},{"start_ms":60000,"title":"The Shift from Search to Agents","summary":"Analysis of how Perplexity moved from providing links to executing multi-step tasks and the impact of their 'computer' tool."},{"start_ms":120000,"title":"The Economics of Usage-Based Pricing","summary":"A look at how a credit-based system and the removal of ads contributed to a 50% monthly revenue jump."},{"start_ms":180000,"title":"User Backlash and Scaling Risks","summary":"Discussion on the tension between rapid revenue growth and declining user satisfaction regarding usage limits and quality."},{"start_ms":300000,"title":"The Perils of Per-Query Models","summary":"A cautionary tale about the volatility of usage-based pricing when faced with flat-rate competition."},{"start_ms":360000,"title":"The Future of Answer Engine Optimization","summary":"How brands can leverage citations and structured data to become the primary source for AI agents."},{"start_ms":420000,"title":"Conclusion: Optimizing for Tasks","summary":"Final thoughts on the necessity of maintaining brand coherence across the emerging agentic ecosystem."}],"topics":["Perplexity AI","AI Agents","Answer Engine Optimization","SaaS Pricing Models","AI Search","Digital Marketing Strategy","Revenue Growth","Automated Task Execution"],"duration_seconds":460,"processing_state":"processed","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/answer-engine-optimization-aeo-the-ai-search-podcast-7756998/episodes/perplexity-s-500m-arr-pivot-why-ai-agents-beat-search/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/answer-engine-optimization-aeo-the-ai-search-podcast-7756998/perplexity-s-500m-arr-pivot-why-ai-agents-beat-search.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}