{"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":"GPT-5.5 'Spud' Just Landed: What AI-First Founders Need to Know Now","slug":"gpt-5-5-spud-just-landed-what-ai-first-founders-need-to-know-now","published_at":"2026-04-23T20:32:12+00:00","page_url":"https://stenobird.com/podcast/answer-engine-optimization-aeo-the-ai-search-podcast-7756998/gpt-5-5-spud-just-landed-what-ai-first-founders-need-to-know-now","show_page_url":"https://stenobird.com/podcast/answer-engine-optimization-aeo-the-ai-search-podcast-7756998","url":"https://share.transistor.fm/s/1c71da50","audio_url":"https://media.transistor.fm/1c71da50/e0c1a6fd.mp3","summary":"OpenAI's GPT-5.5 'Spud' marks a shift from simple chatbots to proactive, agentic systems capable of complex, multi-step workflows. The update introduces massive token efficiency and superior tool use, fundamentally changing how AI-first founders should architect business processes.","meta_description":"Explore the impact of OpenAI's GPT-5.5 'Spud' on AI-first businesses, focusing on agentic workflows, token efficiency, and the future of AEO.","key_points":["Main idea: GPT-5.5 introduces a unified system that integrates reasoning, multimodal input, and autonomous tool execution","Practical takeaway: Shift from 'prompt engineering' to 'process mapping' by assigning AI specific jobs and complex workflows","Efficiency gain: Significant reduction in token usage and inference costs allows for scaling agentic operations at a lower budget","Strategic pattern: The 'orchestrator pattern'—using specialized models for specific tasks—is now a validated necessity for high-performance AI systems","Failure mode: Relying on monolithic model choice rather than specialist routing may lead to inefficient and lower-quality outputs"],"chapters":[{"start_ms":60000,"title":"The Arrival of GPT-5.5 'Spud'","summary":"An analysis of the massive benchmark leaps seen in the new model and its immediate impact on the industry."},{"start_ms":120000,"title":"Benchmark Breakthroughs","summary":"Comparing GPT-5.5's performance against Claude Opus 4.7, specifically in senior engineer and coding benchmarks."},{"start_ms":180000,"title":"The Power of Unified Interaction","summary":"How seamless integration of Python, data analysis, and reporting creates a more capable 'chief of staff' experience."},{"start_ms":240000,"title":"Proactive AI and Agentic Workflows","summary":"Moving beyond reactive prompts to autonomous agents that anticipate needs and use tools independently."},{"start_ms":300000,"title":"The Economic Impact of Token Efficiency","summary":"How lower costs and higher intelligence enable scaling AI-driven business infrastructure."},{"start_ms":360000,"title":"The Path to the AI Super App","summary":"Discussing OpenAI's vision for a unified ecosystem of ChatGPT, Codex, and an AI browser."},{"start_ms":480000,"title":"Optimizing for Answer Engine Optimization (AEO)","summary":"Leveraging specialized model routing and high-quality content generation to dominate AI search results."}],"topics":["GPT-5.5","OpenAI","Agentic AI","Answer Engine Optimization","AI Agents","Token Efficiency","LLM Benchmarks","AI-first Startups"],"duration_seconds":613,"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/gpt-5-5-spud-just-landed-what-ai-first-founders-need-to-know-now/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/gpt-5-5-spud-just-landed-what-ai-first-founders-need-to-know-now.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}