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Schema, help docs, and the boring stuff AI quietly loves

The technical layer nobody wants to own is often the biggest lever for AI visibility. Here's the short, non-boring version of what to actually do.

9 min read

There is a quiet technical layer that decides whether AI crawlers can actually understand your site. Most brands never touch it. The ones that do — even without doing anything flashy on top — often see a lift that looks like a mystery from the outside.

Schema and structured data

Schema.org markup tells crawlers, in a machine-readable way, what each page is: an article, a product, a FAQ, a how-to, a comparison. AI crawlers use these labels to decide how to extract content. Missing or broken schema is the equivalent of showing up to an interview in a costume that says "I am unclear."

  • Add Article schema to every blog post and long-form piece.
  • Add FAQPage schema to every FAQ page (and any page with a structured Q&A block).
  • Add Product schema to every product and pricing page, where applicable.
  • Add Organization and WebSite schema to the root domain.
  • Add BreadcrumbList schema to every interior page.

Help-doc content

We keep saying this because it is the most consistently underused lever we see. Help-doc content is cheap to produce, sits under a trusted subdomain, and gets cited by AI at a higher rate than anything on most brand blogs. If you don't have a dedicated writer for help-doc content, consider hiring one before you hire another blog writer.

Crawl posture

AI crawlers (GPTBot, ClaudeBot, Perplexity's crawler, Google's AI fetcher) behave slightly differently. Make sure your robots.txt allows the ones you want, your pages load cleanly without JavaScript-dependent content being hidden, and your sitemap actually lists every indexable page.

Meta, OG, and titles

Title tags, meta descriptions, and Open Graph images aren't just for Google. AI-enabled search products use them to summarize your pages. Write them like mini-headlines, not keyword soup.

What not to over-engineer

We've watched teams spend three months implementing every schema type under the sun and see almost no lift. The marginal returns above the basics are small. Get the basics right, then spend your time on content and authority — that's where the compounding actually lives.

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