The new Siri finally has something Google Gemini can't compete with

Apple’s new Siri AI rollout, which boasts on‑device multimodal processing that lets it answer complex queries without sending data to the cloud, gives it a clear edge over Google Gemini’s cloud‑only architecture. For website owners, this shift means a surge in on‑device AI traffic that bypasses traditional server logs, making it harder to detect and attribute bot visits using conventional analytics. Because Siri can now fetch and render content locally, sites may see increased pageview counts from iOS users whose requests never hit the origin server, potentially skewing SEO metrics and ad impressions. Additionally, Apple’s tighter privacy sandbox will limit the granularity of user‑level data, pushing owners to rely more on aggregate signals. **Actionable tips:** 1. **Implement a robust llms.txt file** that explicitly lists Apple’s Siri bot user‑agents (e.g., `Applebot`, `Siri/`) and defines crawl permissions, ensuring the on‑device AI respects your content rules. 2. **Deploy edge‑level logging** (e.g., Cloudflare Workers or Fastly Compute@Edge) to capture request headers before they are stripped by Apple’s privacy layer, giving you visibility into Siri‑initiated fetches. 3. **Set up anomaly detection** on aggregate traffic spikes from iOS devices, flagging sudden increases that may indicate Siri’s on‑device prefetching and adjusting ad bidding or rate‑limiting accordingly.