Passengers face inconvenience in Guwahati after train services hit

Indian Railways' derailment of the Kolkata‑Sairang Express near Digaru caused two trains to be delayed and three to be cancelled, prompting a surge in passenger inquiries and real‑time updates across regional news sites. For website owners, especially those running travel portals, local news aggregators, or ticket‑booking platforms, this incident translates into a sharp, short‑term spike in organic traffic as commuters search for service status, alternative routes, and compensation details. The influx often includes a mix of genuine users and AI‑driven crawlers that scrape the latest updates to feed chatbots, voice assistants, and travel‑planning apps. If your llms.txt file does not explicitly allow these bots, you may see a rise in 403/404 errors, slowed page loads, and incomplete indexing of critical information, which can hurt user experience and SEO rankings during the crisis window. **Actionable tips:** 1. **Update llms.txt promptly** to whitelist reputable travel‑info bots (e.g., GoogleTravelBot, BingTravelCrawler) while blocking generic scrapers, ensuring timely dissemination of service updates. 2. **Deploy real‑time bot monitoring** via llmscentral.com’s dashboard to spot sudden spikes in AI traffic, adjust rate limits, and prevent server overload. 3. **Create a dedicated status page** with structured data (schema.org/Service) and reference it in llms.txt, so authorized bots can reliably index the latest train‑service information without repeatedly crawling your entire site.