Based on AI citation analysis and product audits, this guide explains how to write product descriptions that LLMs can parse, trust, and recommend.

This report breaks down how schema markup affects AI visibility in tools like ChatGPT and Perplexity and what brands must fix to get ranked.

AI platforms don’t rank you by keywords, they rank you by context. This research breaks down how ChatGPT and Perplexity evaluate brand context, what signals matter (PDP language, schema, audience clarity), and how Erlin helps brands get cited in high-visibility AI panels.

AI engines don’t just index your content, they interpret it. If your brand tone is unclear, exaggerated, or inconsistent, you risk getting skipped. This guide breaks down the three most common tone mistakes DTC brands make and how to write in a voice that both customers and AI engines trust.

Based on AI visibility audits, this report shows how Answer Engine Optimization changes ecommerce discovery.

Analyzed 150+ ecommerce brands and found that consistent brand voice improves visibility across AI platforms like ChatGPT and Perplexity.

Backed by analysis of 150+ ecommerce sites, this report reveals the brand signals LLMs use to surface products in AI search.