Blog
Insights on AI search optimization, GEO/AEO, and brand visibility in AI answer engines.
How to Track AI Traffic from ChatGPT, Perplexity, and Gemini
Track AI traffic from LLMs in GA4: referrer signatures, custom channel groups, UTM rules, and the 2026 measurement stack used by Prompt Architect.
Schema Markup for LLM Citations: The 2026 Strategy Guide
Schema markup for AI search in 2026: which structured-data types LLMs actually parse, citation lift evidence, and the rollout strategy Prompt Architect uses.
What is GEO? Generative Engine Optimization Explained (2026)
Generative Engine Optimization (GEO) defined: what it is, how it differs from AEO and SEO, and the 2026 playbook for earning citations inside AI answers.
Share of Voice in AI: How to Measure Brand Visibility in LLMs
Share of Voice in AI is the fraction of LLM answers that cite your brand. Here is the formula, a 30-day measurement plan, and the three pitfalls that distort the number.
5 Schema Patterns That Get Your Content Cited by AI (With Code)
Five JSON-LD schema patterns that lift LLM citation rate, with production-ready code examples for FAQPage, HowTo, Article, Dataset, and ClaimReview.
How ChatGPT, Perplexity, and Gemini Choose Their Sources
ChatGPT, Perplexity, and Gemini retrieve and cite differently. Here is the engine-level breakdown of how each picks sources, and what it changes for content strategy in 2026.
AEO vs SEO: What's the Difference? (2026 Guide)
AEO vs SEO compared: how answer engine optimization differs from SEO in 2026, the 7 key divergences, 4 overlaps, and a decision matrix.