Every concept behind getting named by AI.

The core shift from ranking in links to being cited in answers — and the two disciplines built around it.

Semantic HTML, schema markup, retrieval-augmented generation, and knowledge graphs — the machinery under the surface.

Information density, first-gain data, conversational query formatting, and direct-answer architecture.

Sentiment, community footprints, digital PR, and review management — what AI trusts about you from the outside.

Share of voice, traffic attribution, hallucination defense, and multimodal discovery.

Surviving silent model swaps, fragmented per-engine ecosystems, and the llms.txt standard.

Query fan-out, prompt injection defense, conversational follow-ups, and persona-based targeting.

AI search graders, competitive co-occurrence, and the shift to AI-first interface design.

The paywall-vs-scrape dilemma, data licensing, copyright boundaries, and real-time spatial/local AI discovery.