JavaScript and AI Search: Why Client-Side Rendering Breaks Retrieval, Not Just Crawling
ChatGPT, Perplexity, and Claude don't render JavaScript the way Googlebot does. Here's what that means for content teams.
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Author Pages for AI Search: Bios That Prove Expertise Instead of Claiming It
How to build author pages AI systems and readers can independently verify — grounded in Google's E-E-A-T guidance and schema.org Person markup.
Expert Quotes for AI Search: What Actually Earns Citations (and What's Fabrication)
Real, attributed expert quotes measurably raise AI citation rates. Here's the research, the sourcing process, and the line into fabrication.
A Practical Framework for Optimizing Content for Google AI Mode
How AI Mode's query fan-out changes content strategy — research, evidence-block structure, technical accessibility, and what Search Console can (and can't) measure.
Case Studies for AI Search: Turning Customer Stories Into Citable Evidence
Why most B2B case studies are invisible to AI answer engines — and the specific, verifiable structure that gets one cited instead of skipped.
The AI Search Competitor Source Map: Finding Out Who AI Engines Trust Instead of You
A method for mapping which sources AI engines cite when competitors appear in answers — and using that map to compete on evidence, not just keywords.
Statistics vs. Quotes vs. Definitions: What AI Actually Cites
Not every factual claim survives being lifted into an AI answer. Here's what research shows about how statistics, quotes, definitions, and comparisons get extracted — and cited.
