Trends

Answer engines are experimenting with sponsored placements inside AI responses. What's happening, why monetization pressure makes it inevitable, and how to prepare.

Generative engine optimization is moving from experiment to budget line item, with owners, agencies, and reporting expectations attached.

The most significant shifts in AI marketing in June 2026 — from agentic workflows entering mainstream stacks to GEO becoming a standard practice.

AI agents that research, compare, and buy on a user's behalf are emerging — and they change who marketing actually has to persuade.

Organic clicks are declining as AI answers absorb informational queries — and AI-answer visibility is emerging as the replacement metric.

AI-simulated customer personas are entering the research workflow — fast and cheap for early exploration, risky as a substitute for real customers.

When AI answers satisfy the query, the answer itself becomes the touchpoint — and marketing has to work without the visit.

AI video generation has crossed from demo to daily production tool for a wide band of marketing work — raising the creative floor for everyone.

AI agents that browse the web on users' behalf are redefining what a 'visitor' is — and what websites must do to convert one.

The llms.txt standard for guiding AI systems through your site is spreading — a low-cost bet on how machine readers will consume the web.

Tracking what AI systems say about your brand is becoming a discipline — with tools, cadences, and correction playbooks to match.

Prompt and context management is hardening into a marketing ops discipline — with libraries, versioning, and quality gates replacing tribal knowledge.