On‑Device & Edge Patterns for Privacy‑First Generative Snippets
Privacy-first on-device and edge patterns for generative snippets: reduce LCP, design cache keys, balance personalization, and protect user data at scale.
Privacy-first on-device and edge patterns for generative snippets: reduce LCP, design cache keys, balance personalization, and protect user data at scale.
Practical strategies to cut camera-to-answer latency for real-time visual queries: on-device inference, WebCodecs/WebTransport, progressive UX, and Core Web Vitals tuning.
Audit and harden JSON‑LD and schema to endure Google AI Mode & Web Guide changes—inventory, fallbacks, provenance, testing, and governance for long‑term visibility.
Measure AI‑first performance: answer presence, source citations and conversational (no‑click) conversions — and align KPIs with Core Web Vitals & speed.
Schema and markup tactics to surface pages in Google's AI-organized Web Guide clusters. Includes implementation steps, testing tools and provenance tips — practical.
Implement Actions, ClaimReview & provenance schema for generative AI. Includes JSON-LD examples, verification steps, and concise implementation checklist.
Compare SSR and edge AI to protect LCP and AEO visibility. Practical architecture patterns, caching, streaming SSR, fast edge inference, and testing tips.
Make your site taskable for AI assistants: guidance on Actions, Offer, and Verification schema with examples and a concise implementation checklist today.
Optimize images & video for generative summaries while preserving AEO and Core Web Vitals. Use responsive formats, lazy-load, priority, and measure more.
Audit and fix Interaction to Next Paint (INP) with practical steps, tools, and code fixes to cut input latency and boost real-world responsiveness now.
2025 mobile performance guide: optimize LCP & FCP with budget-friendly tactics, measurement steps, and quick wins to boost Core Web Vitals and conversions.
Learn which schema types Google phased out after June 2025, what markup to retain, migration steps, validation checks, and how to future‑proof structured data.