How to Get Cited in Google AI Overviews A Practical Playbook

Search is no longer just a list of 10 blue links. With Google AI Overviews and AI Mode fully synthesizing answers directly on the SERP, traditional SEO playbook rules have fundamentally changed. For brands, this shift introduces a massive risk (vanishing organic click-through rates) but also an unprecedented opportunity: becoming the definitive source the AI trusts and cites. If you’ve noticed your impressions rising while your clicks fall, you are witnessing the zero-click AI era in real-time. the WordLift team breaks down the exact framework mid-to-senior SEO professionals, content strategists, and marketing directors need to move from passively watching visibility shift to actively dominating AI search citations. Timestamps 0:00 — Intro / waiting for attendees 1:06 — Welcome & speaker introductions 2:01 — Agenda overview 2:59 — Why this matters now 5:07 — Search landscape has changed / AI Overviews 6:43 — Google's transition to AI mode & agentic experience 7:50 — Better traffic, not just less traffic 8:21 — What AI Overviews actually look for 9:32 — History: Knowledge Graph, Freebase, semantic web 11:49 — What is a knowledge graph? 14:13 — EAT framework + semantic signals for AI 15:30 — Schema.org: how it's evolved 16:55 — Schema as an API endpoint for AI agents 18:13 — Bots now outnumber humans on the web 19:20 — Open Linked Data & JSON-LD 21:01 — How AI Overviews decompose & fan-out queries 22:52 — Token economics — the hidden bottleneck 24:37 — Prefill vs. decode — what it costs AI to read your site 26:20 — 3 levels to improve AI citation chances 28:34 — Agentic commerce & the future beyond websites 30:05 — The 4-step framework introduction 33:27 — Step 1: Map your topical authority 34:43 — Step 2: Identify AI visibility use case 35:20 — Step 3: Build knowledge graph (RDF + JSON-LD) 37:03 — Step 4: Deploy structured data (trust + distribution layers) 39:44 — Measuring results / attribution 41:44 — Q&A: How long to see results? (~2–3 months) 43:38 — Q&A: Does this work for e-commerce? (yes, best use case) 45:35 — Q&A: How LLMs handle conflicting sources 46:58 — Closing / next sessions / QR code