AI brand visibility tracking measures how often and accurately your brand appears in AI answers. Learn the four drivers, the metrics that matter, and how to set up tracking with Erlin.

The AEO best practices that actually drive AI citations, backed by Erlin data from 500+ brands. Covers fact density, structured data, third-party validation, and content freshness.

Learn how to improve AI search visibility with a step-by-step guide covering fact density, structured data, third-party validation, and content freshness, backed by data from 500+ brands.

AI now drives purchase decisions for 44% of buyers. Here's what the data says about brands that track AI visibility vs those that don't, and what's at stake if you wait.

Learn how to track AI visibility across ChatGPT, Perplexity, Gemini, and Claude. Covers key metrics and how to set up tracking in 5 simple steps.

Learn how to fix low AI visibility for your brand with this step-by-step guide, with data from 500+ brands and two real case studies.

Schema for AI visibility explained: 7 schema types that improve citation rates, how ChatGPT and Perplexity use structured data, common mistakes, and testing tools.

Learn how to monitor AI search visibility across ChatGPT, Perplexity, and Gemini: key metrics, manual methods, automated tools, and how to interpret your data.

AI brand visibility mistakes are easy to miss and expensive to ignore. Here are the 7 most common ones, and exactly how to fix them.