Handbook · Chapter 2
The 5 factors that determine whether AI names your brand, or your competitor.
AI does not just read your website. It scans the entire web for mentions of your brand across news sites, review platforms, blogs, forums, social media, and industry publications. The more places your brand appears, and the more consistent the information, the more AI trusts you.
📊 Brands with 50+ web mentions score 3× higher
💡 Tip: Focus on getting mentioned on sites AI already trusts in your industry.
Not all mentions are equal. AI models assign different weights to different sources. A mention on TechCrunch or NYT is worth 50-100× more than a random blog comment. .edu and .gov domains carry exceptional weight because AI models are trained to trust academic and government sources.
📊 1 authoritative mention = 50+ low-authority mentions
💡 Tip: Prioritize getting featured on high-domain-authority sites in your niche.
AI assistants strongly prefer recent information. A blog post from 2023 carries significantly less weight than one updated last month. This is because AI models have knowledge cutoffs and rely on recently indexed content for current answers.
📊 Content updated within 6 months gets 4× more AI citations
💡 Tip: Set a monthly calendar reminder to refresh your top 5 key pages.
AI extracts facts more accurately from well-structured pages. Clear pricing tables, feature comparison grids, FAQ sections with schema markup, and product specifications help AI quote your brand correctly and confidently.
📊 Pages with schema markup are cited 2.5× more often
💡 Tip: Add FAQ, Product, and SoftwareApplication schema to key pages.
AI models analyze the tone and sentiment around your brand. Positive reviews, high ratings, active customer engagement, and transparent business practices create a positive signal. Negative sentiment or complaints can actively hurt your visibility.
📊 Brands with 4+ star ratings appear 2× more in AI answers
💡 Tip: Respond to every review, AI notices brands that engage with customers.