Elena Rostova
Semantic Search & AI Crawler Researcher
Elena focuses on knowledge graphs, Schema.org structured data, and search engine crawler behavior. Her research explores how emerging AI agents (GPTBot, ClaudeBot, PerplexityBot) parse and index structured technical content versus unstructured prose.
Laboratory Experience & Specialization
Core Technical Focus:
- Schema.org JSON-LD Structured Data
- AI Crawler Access Patterns & llms.txt Observability
- Entity Disambiguation & Knowledge Graph Optimization
- Automated Web Scraping & Firecrawl Pipelines
Empirical Research & Datasets
The State of WordPress Performance 2026: 500-Site Empirical Benchmark
An empirical teardown of mobile Core Web Vitals, page weight, DOM depth, and cache hit ratios across production websites.
100 Agency Websites: What Their Homepages Reveal About Speed and SEO
We audited 100 digital agency homepages to document real-world performance bottlenecks and structured data adoption.
Published Guides & Benchmarks
5 Best WordPress Speed Plugins in 2026 Tested on Real Servers
Speed optimization in WordPress often suffers from plugin bloat and conflicting cache layers. We tested the leading performance plugins to see which tools actually improve Core Web Vitals without breaking your layouts.
Cloudways vs SiteGround: Which Host Loads Faster Under Stress?
Hosting architecture directly impacts your Time to First Byte and server responsiveness under load. We deployed identical test setups on Cloudways and SiteGround to measure real-world performance under heavy traffic.
How to Make Your Website Citational in ChatGPT, Perplexity, and Copilot
Traditional search optimizes for 10 blue links: generative search engines extract structured semantic claims. Here is how to configure JSON-LD entity graphs, llms.txt endpoints, and answer-ready passage formatting for AI crawlers.