How do I make my site more crawlable for AI and LLMs?

A travel blogger in Lisbon noticed something odd. While her articles consistently ranked on Google, they rarely appeared in Perplexity or You.com responses. Competitors with far fewer readers were being cited instead. After some digging, she learned the issue wasn’t her storytelling—it was her site’s crawlability. The bots that feed large language models (LLMs) couldn’t access or easily interpret her content.

This is becoming a common blind spot. Traditional SEO practices still matter, but for AI-driven assistants, ensuring your site is accessible, structured, and machine-readable is now critical to being included in their answers.

Why crawlability matters for AI tools

AI assistants such as ChatGPT, Claude, Perplexity, and You.com pull answers from indexed and retrievable sources. If a site isn’t crawlable, its content is invisible, no matter how strong the writing.

According to Search Engine Land, AI-driven search tools use a mix of traditional crawlers and new LLM-specific indexing systems, which rely heavily on metadata and schema to understand content. A Semrush study in early 2025 confirmed that structured, accessible sites had a markedly higher chance of being surfaced in Google’s AI Overviews.

Gartner has projected that by 2026, search engine volume could fall by 25% as AI assistants replace traditional queries. This means that if your site isn’t crawlable to LLMs, you risk losing a quarter of your potential audience.

Key factors that influence crawlability

Robots.txt and llms.txt

Traditional robots.txt files dictate how search crawlers access a site. In 2024, OpenAI, Anthropic, and others began honoring an emerging standard called llms.txt, which gives site owners more granular control over how their content is used by generative models (Wired). Sites that explicitly allow or structure access here are far more likely to be indexed.

Site structure and performance

According to Google’s Search Central documentation, clear navigation, internal linking, and fast page load speeds remain crucial for crawler access. AI assistants inherit these same preferences, since they pull from existing indexes.

Schema markup

Structured data isn’t optional anymore. Schema for articles, FAQs, and products helps AI systems interpret page elements correctly. Search Engine Journal notes that schema markup is one of the strongest signals for algorithmic interpretation of content.

Accessibility and clean HTML

Clean code helps crawlers parse without confusion. Sites cluttered with scripts or poorly tagged elements risk being overlooked. A Digital Marketing Blueprint report emphasized that accessibility improvements directly correlated with higher Perplexity citations.

Recency of updates

LLMs tend to favor fresh data. MIT Technology Review found that static sites were less likely to be included in AI answers, since retrieval engines prioritize more current sources.

Practical examples

• Perplexity AI, now valued at $1 billion, consistently favors sites with structured FAQs and schema-backed data because it can more confidently cite them.
• Monday.com’s case study with MarketMuse showed that reorganizing content into structured clusters not only boosted organic traffic by 1,570% but also increased mentions in AI-generated answers.
• SEO.com has documented how FAQ-style structures and optimized metadata significantly increase the chance of being pulled into Perplexity and Google AI overviews (SEO.com).

Common mistakes that block crawlability

• Disallowing AI agents in robots.txt by accident.
• Overusing JavaScript for essential content, making it unreadable to bots.
• Neglecting schema or structured markup.
• Publishing static, unupdated pages that appear outdated to retrieval systems.

Where Contently comes in

Even with technical improvements, most brands struggle to keep their content crawlable, current, and authoritative at scale. That’s where Contently steps in.

Contently’s network of vetted freelancers and editors can:

• Rewrite existing pages into FAQ-friendly, machine-readable formats.
• Add and maintain schema markup across articles, products, and resources.
• Refresh content regularly to maintain recency signals for AI systems.
• Ensure every article includes trustworthy citations that reinforce authority.

By combining editorial quality with technical precision, Contently ensures content doesn’t just exist online—it gets seen, parsed, and surfaced by the systems shaping the future of search.

Conclusion

Making your site more crawlable for AI and LLMs isn’t just about appeasing algorithms. It’s about ensuring your work is visible in the places where decisions are now made. By focusing on structured data, site performance, accessibility, and fresh updates, you open the door for AI assistants to recognize and reuse your content.

With Contently as a partner, brands can move beyond one-off fixes and build a publishing strategy that keeps them consistently discoverable—whether the query starts on Google, ChatGPT, or Perplexity.

Sources

1. Search Engine Land – AI optimization practices
2. Semrush – AI Overviews study
3. Gartner – Forecast of 25% decline in search volume
4. Wired – llms.txt standard
5. Google – Crawling and indexing guidelines
6. Search Engine Journal – Schema markup importance
7. Digital Marketing Blueprint – Optimizing for Perplexity
8. MIT Technology Review – Visibility in AI search
9. Forbes – Perplexity AI valuation
10. MarketMuse – Monday.com case study
11. SEO.com – Appearing in Perplexity answers