What Makes a Corporate Website AI-Ready
Design principles for corporate websites optimized for LLMs, AI search, and AEO -- with real implementation examples from our own site.
AI systems (LLMs, AI-powered search engines, ChatGPT Search, Perplexity, etc.) prioritize structured data, comprehensive information, and crawlability. The practice of making your corporate website more likely to be referenced and cited by AI is called AEO (Answer Engine Optimization). This article covers the key design principles for an AI-Ready corporate website and the specific implementations on our site (www.tkbase.co.jp).
Key Principles
1. Structured Data (JSON-LD)
Embedding Schema.org data such as Organization, WebSite, Article, Service, Person, and BreadcrumbList helps AI understand the context of your content. Structuring verifiable facts -- corporate registration numbers, founder details, logo URLs -- improves citation accuracy.
2. Meta Information
Set appropriate title, meta description, og:title, og:description, og:image, and canonical tags on each page. Using unique descriptions per page improves display quality in both search results and AI responses.
3. Crawlability
Properly configured sitemap.xml, robots.txt, and canonical URLs enable crawlers to navigate your site accurately. Domain configuration errors (e.g., production is www.tkbase.co.jp but references point to tkbase.jp) prevent proper indexing and AI referencing.
4. International SEO (hreflang)
When serving content in multiple languages such as Japanese and English, specify hreflang correctly for ja / en / x-default. This enables AI to select the appropriate language version of your content.
5. llms.txt
Place a concise site overview for AI crawlers at /llms.txt. Provide company overview, service list, and contact information in plain text so that AI can quickly grasp the full picture of your site.
6. Security Headers
X-Frame-Options, Strict-Transport-Security, and Content-Security-Policy strengthen trust signals. Enforcing HTTPS and clickjacking protection also serve as indicators of technical health.
7. HTML-First
A build-time static HTML output configuration (e.g., Astro) ensures content is present in the DOM on the initial response. Designs that do not rely on client-side JavaScript for dynamic rendering are advantageous for AI crawlers.
Implementation Examples on Our Site
Our site (www.tkbase.co.jp) implements the principles described above. Based on SEO/AEO audits, we have made the following improvements.
| Item | Implementation |
|---|---|
| Domain / Canonical | Unified astro.config site to www.tkbase.co.jp. All canonical, sitemap, OG, and Schema URLs output with the correct domain |
| robots.txt | Sitemap points to the correct domain's sitemap-index.xml |
| hreflang | All pages output ja / en / x-default. Pages without an English version fall back to /en |
| Meta Description | Unique descriptions set per page (services, team, company, blog, contact) |
| OG / Twitter | og:image, og:image:width/height, and twitter:image configured |
| Organization Schema | Added logo, founder, and identifier (corporate number as PropertyValue) |
| Person Schema | Team page outputs ItemList + Person. Each member's name, jobTitle, description, and worksFor structured |
| BreadcrumbList | Breadcrumb structured data on blog articles and service detail pages |
| Service Schema | Added serviceType and provider (Organization) to service details |
| Security Headers | X-Frame-Options, HSTS, CSP, and Permissions-Policy set in _headers (Cloudflare Pages) |
| llms.txt | Company overview, service list, and contact info placed at /llms.txt |
| Navigation | Icons paired with text labels for both accessibility and AEO |
These implementations are based on SEO/AEO audit reports (FULL-AUDIT-REPORT, ACTION-PLAN) from claude-seo. We prioritized Critical and High severity items flagged in the audit, improving the quality of structured data and meta information.
Summary
An AI-Ready corporate website requires a combination of measures beyond traditional SEO: structured data, comprehensive meta information, crawlability, llms.txt, and security headers. Through audit-driven implementation, our site is working to increase visibility in AI Overviews, ChatGPT Search, and similar AI-powered experiences. We hope this serves as a useful reference when considering AI readiness for your own site.