This episode is part of the AI Summary series covering the AI Search Manual chapter by chapter. Chapter 3 explores the progression from keywords to questions, to full conversations, and now to intent orchestration.

We examine how search moved from simple keyword matching to intent recognition, natural language queries, and conversational context retention. The chapter highlights why SEO is no longer about matching words, but about aligning with user purpose and enabling multi-turn discovery across topics.

The episode also looks ahead to proactive agents that anticipate needs and prompt inversion, where AI asks users for missing context. We break down how systems decompose queries into subqueries, retrieve passages, and rewrite inputs to improve results. Finally, we introduce the idea of designing content for two audiences: people and AI agents. Human UX and Agent Experience (AX) now coexist, and brands need to structure information so it can be understood, reused, and surfaced by AI systems.

Read the full chapter at ipullrank.com/ai-search-manual