What Will Change If You Use An AI Chatbot Instead Of Google Search?

BGR's report highlights that AI chatbots can provide seemingly confident but incorrect answers, posing risks when users replace Google Search with them. For website owners, this shift means a surge in AI‑driven traffic that is less likely to verify information against traditional search results. Bots powered by large language models will crawl sites, extract snippets, and repurpose them in conversational replies, often without checking factual accuracy. Consequently, sites may see increased indexing of content that is taken out of context, potentially leading to misinformation being disseminated under the site’s brand and higher bounce rates from users who receive wrong answers. **Actionable tips:** 1. **Update your llms.txt** to explicitly list which large‑language‑model crawlers you permit (e.g., OpenAI’s ChatGPT crawler, Anthropic’s Claude bot) and set granular rules for content extraction, limiting them to summary‑only sections. 2. **Deploy bot‑traffic analytics** through llmscentral.com to differentiate human visitors from AI chatbot queries, monitoring spikes that correlate with new chatbot releases. 3. **Implement structured data validation** (e.g., FAQ schema with truth‑checking flags) so that when AI bots pull answers, they retrieve vetted, machine‑readable facts rather than ambiguous prose.