AI search optimization
Get your product cited by ChatGPT, Perplexity, and Gemini.
A different kind of search
When someone asks ChatGPT "what's the best tool for X," it doesn't check Google. It draws from its training data, retrieves context from the web, and synthesizes an answer. If your product isn't structured in a way these models can understand, you don't exist in that answer.
This is a different optimization problem than traditional SEO. Google cares about keywords, backlinks, and page authority. AI search engines care about clear entity definitions, factual claims they can verify, and structured content they can extract and attribute.
Inside Claude Code, type /ai-seo and it optimizes your content for both.
What it does
Adds structured data that AI models can parse cleanly. Defines your product as an entity with clear attributes: what it is, who it's for, what problem it solves, how it compares to alternatives. Structures content in a way that's easy to extract: questions with direct answers, feature comparisons in tables, pricing laid out clearly.
It also makes sure your content is accessible to AI crawlers. Some sites block AI bots by default. This checks your robots.txt, your rate limiting, and your response headers to make sure the models that could recommend you can actually read your pages.
Why this matters now
People who search with AI tools tend to buy. They're asking specific questions about specific problems. "What's the best SaaS starter for Next.js with Stripe and Supabase" is a buying query. If the AI recommends your product with a link, that's a warm lead you didn't pay for.
Traditional SEO still matters. But the share of discovery happening through AI chat is growing fast, and most products aren't optimized for it at all. Getting there early is an advantage.
/ai-seo