Glossary

Website information architecture organizes pages, labels, and navigation so buyers and AI systems can find, understand, and trust your company.

Entity SEO helps search and AI systems understand your company, products, and proof. Learn how to define the facts that make your business easier to cite.

Semantic HTML gives content meaningful structure, helping people, browsers, and AI systems understand what each part of your website is for.

Positioning drift happens when your message no longer reflects your company. Learn the warning signs, causes, and practical ways to correct it.

Content provenance shows where company content came from, who created it, and what evidence supports it, helping buyers and AI assess credibility.

llms.txt is a simple markdown file you place on your site to give AI models a clear, structured overview of your best content. For product and documentation teams, it's becoming an essential part of answer engine visibility.

Answer engine optimization helps SaaS sites become easier for AI tools to understand, verify, compare, cite, and recommend in buyer answers.

A conversion path is the sequence of interactions that turns an anonymous AI search visitor into a qualified SaaS lead. Learn how to map and optimize every step from impression to demo.

Crawl budget determines which pages search engines index. For SaaS companies, site speed and lean architecture ensure AI search engines prioritize your most important conversion pages. Learn how to optimize crawl budget for better AI indexing and conversions.

Learn what schema markup is, why it matters for search and AI answers, and how structured data clarifies features, pricing, reviews, and trust signals.

Learn what product storytelling is, why it matters for complex B2B SaaS, and how to turn technical features into clear, buyer-ready stories that AI answer engines can cite.

Learn what a canonical URL is, how canonical tags prevent duplicate content, and how to use them when scaling landing pages and SEO.