AI & AEO

Agentic Search

Quick Definition

Agentic search is the next-generation pattern where an AI agent autonomously plans, executes, and refines a multi-step research task on the user's behalf — not just answering a single query.

In context

ChatGPT's deep research mode, Perplexity Pro Spaces, and Gemini's Research mode are early agentic-search products. From an SEO perspective, optimization for agentic search requires content that holds up to multiple agent revisits, deep topical coverage, and structured data the agent can plan against.

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Related terms

Entity Recognition

Entity recognition is the process by which search engines and LLMs identify the discrete real-world entities (people, companies, products, places) referenced in a piece of content.

Microsoft Copilot (formerly Bing Chat)

Microsoft Copilot is the AI search and assistant surface across Bing, Edge, Windows, and Microsoft 365, powered by GPT-class models with grounding via Bing's search index.

Multimodal Search

Multimodal search is search that accepts and reasons over multiple input types — text, images, video, audio — together, powered by multimodal AI models like Gemini and GPT-4o.

Semantic Chunking

Semantic chunking is how AI retrieval systems break long content into smaller, semantically coherent passages that can be retrieved and cited independently.

Gemini (Google)

Gemini is Google's family of multimodal AI models, used to power Google's AI Overviews, Bard's successor chat surface, and the Gemini app and API.

LLM Fingerprint

An LLM fingerprint is the recognizable pattern of phrasing, formatting, and structure that makes content identifiable as AI-generated to both humans and detection tools.

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