# What Is an AI-Ready Website?

An AI-ready website must work for human readers while helping machines extract accurate company facts, services, and evidence.

## Key takeaway
An AI-ready website must first be useful to people and accessible to search engines. Structured data and llms.txt can support understanding, but they cannot replace visible facts and evidence.

## Start with accessibility, not special files

Key pages should return a stable 200 response, have one canonical URL, and be reachable through navigation or contextual links. A sitemap should contain only canonical pages intended for search. Form confirmations, internal search pages, and generated demonstration data should not compete for indexing.

- Use semantic headings and real HTML links.
- Connect Chinese and English equivalents with reciprocal hreflang.
- Give important facts stable, descriptive pages.

## Answer what, why, and what proves it

A service page should explain audience, business problem, required inputs, deliverables, boundaries, and validation method. Cases and research pages should disclose dates, methods, samples, and limitations so readers can judge applicability.

Schema must match visible content and connect stable Organization, Brand, Article, and Service entities rather than introduce claims absent from the page.


## Performance is part of information access

A slow mobile first view increases abandonment and weakens overall page experience. Prioritize HTML response time, discovery of the hero resource, correct image dimensions, and caching before optimizing non-critical scripts.

- Use a correctly sized modern image for LCP and give it high priority.
- Cache fingerprinted static assets for a long period.
- Combine field data with lab diagnostics.
## Method and scope
Audit in this order: access and indexing, information architecture, visible evidence, structured data, performance, and conversion. Crawler-specific files come after the fundamentals.

## Limitations
No single Schema type, robots directive, or llms.txt file can guarantee AI citation. Platform crawling and retrieval behavior also changes over time.

## FAQ
### How should a team use this guide?
Audit in this order: access and indexing, information architecture, visible evidence, structured data, performance, and conversion. Crawler-specific files come after the fundamentals.

### What should a team avoid concluding from it?
No single Schema type, robots directive, or llms.txt file can guarantee AI citation. Platform crawling and retrieval behavior also changes over time.

## Sources
- [Google: AI features and your website](https://developers.google.com/search/docs/fundamentals/ai-optimization-guide)
- [Google: Core Web Vitals](https://developers.google.com/search/docs/appearance/core-web-vitals)

---

- Canonical page: https://eraso.cn/en/insights/ai-friendly-website/
- Brand facts: https://eraso.cn/en/brand/
- LLM index: https://eraso.cn/en/llms.txt