Structure a website for AI crawlers with one H1 per page, logical H2/H3 hierarchy,descriptive internal links between services and locations, JSON-LD on key pages,and direct-answer content blocks at the top of high-intent pages. Avoid orphanpages and Java Script-only rendering of critical business facts — semanticheadings, internal links, schema markup, and answer-first blocks make pages AI-friendly.
What page architecture works for local service businesses?
Homepage (entity), service pages (offerings), location pages (geography), contact (NAP), and blog (topical authority) — each with unique, crawlable HTML.
Should location pages use the same template?
Use consistent structure but unique proof, FAQs, and service context per city.
What semantic HTML helps AI crawlers?
Use header, nav, main, article, and footer elements. Put business facts in plain text, not images. Use ordered lists for steps and tables for comparisons.
What is the step-by-step workflow?
- Audit crawl paths: List indexable URLs. Find orphan pages with no internal links.
- Assign page intents: One primary purpose per URL: service, location, contact, or resource.
- Fix heading hierarchy: Single H1, section topics as H2, subsections as H3.
- Add direct-answer intros: Lead key pages with 2–4 sentences answering the core question.
- Deploy JSON-LD schema: LocalBusiness, Service, FAQPage, and Article on relevant routes.
- Build internal link hubs: Connect services, locations, blog, and contact with descriptive anchors.
- Validate monthly: Rich Results Test, Search Console, and AI query spot checks.