What is an AI-Ready Corporate Website?
For detailed AEO data, see the Knowledge Hub.
AI systems (LLMs, search engine AI, ChatGPT search, Perplexity, etc.) prioritize structured data, comprehensive information coverage, and crawlability. Making a corporate website “easy to reference” and “easy to cite” for AI is called AEO (Answer Engine Optimization). This article introduces design principles for AI-ready corporate websites and concrete examples implemented on this site (www.tkbase.co.jp).
Key Points to Address
1. Structured Data (JSON-LD)
Embedding Schema.org data such as Organization, WebSite, Article, Service, Person, and BreadcrumbList helps AI understand content context. Structuring verifiable facts like corporate numbers, founder information, and logo URLs improves citation accuracy.
2. Meta Information
Set title, meta description, og:title, og:description, og:image, and canonical appropriately on each page. Unique descriptions per page improve display quality in search results and AI answers.
3. Crawlability
sitemap.xml, robots.txt, and correct canonical URLs enable crawlers to accurately traverse the site. Domain misconfiguration (e.g., referencing tkbase.jp when production is www.tkbase.co.jp) hinders indexing and AI references.
4. International SEO (hreflang)
When offering multiple languages such as Japanese and English, correctly specify ja / en / x-default in hreflang. This allows AI to appropriately select content by language.
5. llms.txt
Place a concise site overview for AI crawlers at /llms.txt. Provide company overview, service list, contact information, etc. in plain text so AI can quickly grasp the full picture of the site.
6. Security Headers
Strengthen trust signals with X-Frame-Options, Strict-Transport-Security, Content-Security-Policy, etc. HTTPS enforcement and clickjacking protection also function as technical health indicators.
7. HTML-First
A build-time static HTML output configuration (e.g., Astro) ensures content is included in the DOM in the initial response. Design that does not rely on client-side JavaScript for dynamic rendering is advantageous for AI crawlers.
Implementation Examples on This Site
This site (www.tkbase.co.jp) implements the above points in practice. Based on SEO and AEO audits, we have implemented the following:
| Item | Implementation |
|---|---|
| Domain & canonical | Unified site to www.tkbase.co.jp in astro.config. Output canonical, sitemap, OG, and Schema URLs with the correct domain |
| robots.txt | Specify sitemap-index.xml with the correct domain in Sitemap |
| hreflang | Output ja / en / x-default on all pages |
| Meta description | Unique descriptions set for each page (services, team, company, blog, contact) |
| OG / Twitter | og:image, og:image:width/height, twitter:image configured |
| Organization schema | Added logo, founder, identifier (corporate number as PropertyValue) |
| Person schema | ItemList + Person output on team page. Structured name, jobTitle, description, worksFor for each member |
| BreadcrumbList | Breadcrumb structured data output on blog posts and service detail pages |
| Service schema | Added serviceType, provider (Organization) to service details |
| Security headers | X-Frame-Options, HSTS, CSP, Permissions-Policy configured in _headers (Cloudflare Pages) |
| llms.txt | Company overview, service list, contact information placed at /llms.txt |
| Navigation | Icons and text labels used together for accessibility and AEO |
These implementations are based on SEO and AEO audit reports (FULL-AUDIT-REPORT, ACTION-PLAN). We have prioritized Critical and High items from the audit and improved the quality of structured data and meta information.
Summary
AI-ready corporate websites require comprehensive measures beyond traditional SEO: structured data, enriched meta information, crawlability, llms.txt, security headers, and more. Through audit-based implementation, this site is advancing efforts to increase exposure to AI Overviews and ChatGPT search. We hope this serves as a reference when considering AI readiness for your own site.