What robots.txt can and can't do in the AI era — GPTBot, ClaudeBot, PerplexityBot, training vs search crawlers, llms.txt, and what it means if you...
Agentic browsers like ChatGPT Atlas, Perplexity Comet and Dia act on the web for you — and get blocked like any bot. Here's why they...
Learn how to track your brand's visibility in ChatGPT, Perplexity and Google AI Overviews — and why answers change by location. A practical 2026 GEO...
Residential proxy pricing compared ($/GB). From $1/GB budget to $10+/GB premium - how proxy pricing works, what drives it, and the cost that actually matters.
AI scraping infrastructure is the stack for collecting web data with LLM-based extraction. The components, how it differs from traditional scraping, and where proxies fit.
Agentic browsing infrastructure is the stack that runs AI browser agents at scale. The components, the fleet-scale blocking problem, and where proxies fit.
Grounding data is the real-world information AI retrieves to anchor answers to fact. Grounding vs training data, where it comes from, and where proxies fit.
Real-time web data is live, on-demand data AI agents act on. Why agents need fresh, geo-accurate data, the latency challenge, and where proxies fit.
Web data for LLM training is the web-collected text models learn from. Where it comes from, how it's collected at scale, the proxy layer, and...
Web data infrastructure for AI is the stack that feeds live web data into training, RAG, and agents. The four layers, where proxies fit, and...
State/City/Zip/ASN Targeting 
