{"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":"Unlocking A.I.'s Next Frontier: Claude Opus 4.7's Precision and Vision","slug":"unlocking-a-i-s-next-frontier-claude-opus-4-7-s-precision-and-vision","published_at":"2026-04-23T12:03:54+00:00","page_url":"https://stenobird.com/podcast/answer-engine-optimization-aeo-the-ai-search-podcast-7756998/unlocking-a-i-s-next-frontier-claude-opus-4-7-s-precision-and-vision","show_page_url":"https://stenobird.com/podcast/answer-engine-optimization-aeo-the-ai-search-podcast-7756998","url":"https://share.transistor.fm/s/e52d2383","audio_url":"https://media.transistor.fm/e52d2383/073c16a3.mp3","summary":"Anthropic's Claude Opus 4.7 introduces significant leaps in autonomous reasoning and visual fidelity. This update enables more reliable, long-running agentic workflows through self-verifying outputs and a massive 1-million token context window.","meta_description":"Explore the impact of Claude Opus 4.7 on AI automation, featuring enhanced precision, superior vision, and its role in the future of Answer Engine Optimiz…","key_points":["Main idea: Claude Opus 4.7 is engineered for high autonomy and precision in long-horizon agentic tasks","Technical breakthrough: A 1-million token context window allows the model to reason through ambiguity and self-verify complex outputs","Visual advancement: The model processes images at over three times the resolution of previous versions, improving technical data analysis","Practical takeaway: Enhanced instruction following reduces the need for human oversight in automated content pipelines","Future outlook: The release of Opus 4.7 sets the stage for even more powerful preview models like Claude Mythos"],"chapters":[{"start_ms":0,"title":"Introduction to Claude Opus 4.7","summary":"An overview of the massive community engagement and the significance of Anthropic's latest model release."},{"start_ms":120000,"title":"Precision and Long-Horizon Tasks","summary":"Deep dive into the architecture designed for high autonomy, precision, and handling complex, multi-step projects."},{"start_ms":180000,"title":"Context Windows and Self-Verification","summary":"Explaining how the 1-million token context window enables the model to self-verify outputs and manage ambiguity."},{"start_ms":240000,"title":"Business Implications and Agentic Work","summary":"Analyzing how increased model autonomy impacts productivity and the scalability of AI-driven business systems."},{"start_ms":360000,"title":"Advanced Vision Capabilities","summary":"Discussing the 3x increase in visual resolution and its impact on analyzing charts, technical documents, and UI."},{"start_ms":420000,"title":"Integrating Opus 4.7 into AEO Strategies","summary":"How the model's precision and vision capabilities enhance automated content generation and AI search optimization."},{"start_ms":480000,"title":"Scaling Organic Traffic with AI Agents","summary":"The role of sustained, high-quality output in driving visibility within AI-generated answers and overviews."}],"topics":["Claude Opus 4.7","Anthropic","Artificial Intelligence","Answer Engine Optimization","Agentic Workflows","Large Language Models","Computer Vision","AI Automation"],"duration_seconds":540,"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/unlocking-a-i-s-next-frontier-claude-opus-4-7-s-precision-and-vision/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/unlocking-a-i-s-next-frontier-claude-opus-4-7-s-precision-and-vision.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}