Most SaaS pricing pages are built with JavaScript frameworks that AI agents can't render. When an agent evaluating your product can't find your pricing, it either skips you or forms a confidence-limited recommendation. Fixing this is a one-time technical change with permanent AI visibility benefits.
SEO and AI discoverability are related but not the same. SEO is optimizing for search engine rankings. AI discoverability is optimizing for how AI agents find, evaluate, and recommend your business. Some SEO work transfers; most of the new work is in structured data, API accessibility, llms.txt, and pricing transparency.
A misconfigured robots.txt can make your entire website invisible to AI systems. Many businesses don't realize they're blocking GPTBot, ClaudeBot, and PerplexityBot because those rules were added years ago using wildcard disallow patterns. This guide shows you how to check your robots.txt, which crawlers matter, and how to fix blocking rules safely.
Structured data is how your website communicates facts to machines rather than humans. JSON-LD schema gives AI agents a reliable, structured source of truth about your organization, products, pricing, and features. This guide covers the five schema types that matter most for AI readiness and how to implement each one.
llms.txt is a simple markdown file at your domain root that gives AI agents a prioritized map of your most important content. This guide covers the specification, what to include, common mistakes, and how to generate one for any business in under 10 minutes.
AI readiness measures how well your website performs when AI agents crawl, evaluate, and recommend your business. This guide explains the six core dimensions, why the bar is different from traditional SEO, and what you can do about it today.
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