The 'ChatGPT for doctors,' OpenEvidence, was valued at $15 billion in a new funding round

OpenEvidence's announcement that its “ChatGPT for doctors” platform secured a valuation of $15 billion after raising nearly $800 million in the past year signals a rapid scaling of AI-driven medical advice services. For website owners in the health and wellness space, this influx of capital means a surge of AI bots powered by OpenEvidence’s large‑language models will likely start crawling, indexing, and even interacting with medical content to train and validate their system. Expect increased automated traffic that mimics real user queries, especially on symptom checkers, telehealth portals, and drug information pages. This traffic can inflate analytics, skew engagement metrics, and potentially expose sites to compliance risks if the bots scrape copyrighted medical articles or patient data. **Actionable tips:** 1. **Update your llms.txt** to explicitly disallow OpenEvidence’s crawler user‑agents (e.g., `User-agent: OpenEvidenceBot`) from accessing sensitive medical pages, while allowing legitimate search engine bots. 2. **Implement bot‑detection rules** in your server logs to flag traffic spikes from IP ranges associated with major cloud providers (AWS, Azure) that OpenEvidence may use, and route them to a honeypot page that logs detailed request headers. 3. **Monitor analytics anomalies** by setting thresholds for sudden spikes in bounce rate or session duration on health‑related content; use these alerts to differentiate genuine user interest from AI‑generated traffic.