Which CMS Is Most AI-Ready? We Analyzed the Data.

When we first started building AgentReady™, I assumed AI readiness would be primarily a content and configuration problem. The CMS would be a neutral container. I was wrong.

Our data shows that platform choice creates a readiness ceiling that most site owners never exceed. A Wix site with great content and careful configuration averages 48. A Next.js site with mediocre content and default configuration averages 58. The platform's defaults, rendering approach, and extensibility set a baseline that's harder to overcome than I expected.

This article breaks down AI readiness scores across seven major CMS platforms based on our 5,000-site study. We controlled for industry, content volume, and site age to isolate the platform effect as cleanly as possible. The sample includes 3,100 sites with identifiable CMS platforms across the following: WordPress (1,240 sites), Shopify (620), Next.js (380), Webflow (310), Squarespace (240), Wix (180), and custom/other (130).

Here are the average AI readiness scores by platform, ranked from highest to lowest.

Next.js leads at 71, the only platform whose average crosses into B-grade territory without any manual optimization. Custom builds follow at 65, then Webflow at 58, WordPress at 55, Squarespace at 46, Shopify at 38, and Wix at 35.

But averages don't tell the full story. The variance within each platform is equally important. WordPress has the widest spread: scores range from 22 to 94, reflecting its extreme configurability. Next.js has the tightest spread (52 to 96), because its architectural decisions create a higher floor. Shopify's range is 18 to 78, with the ceiling largely determined by which apps and customizations store owners install.

Next.js's lead comes from three architectural advantages that align directly with what AI agents need.

Server-side rendering by default. Next.js pages are pre-rendered as HTML, meaning AI crawlers receive fully formed content without needing to execute JavaScript. This lifts the Bot Access & Crawlability subscore to an average of 88 out of 100, compared to 61 for Wix and 58 for Shopify.

File-system-based routing with static generation. Next.js generates clean, predictable URL structures and serves pages through static files or server-rendered HTML. AI crawlers can enumerate and access pages efficiently. The app directory structure also makes it trivial to add files like llms.txt, robots.txt, and sitemap.xml as static routes.

Developer-oriented ecosystem. Next.js users tend to be developers or technical teams who are more likely to implement structured data, configure AI protocols, and optimize content structure intentionally. 34% of Next.js sites in our sample have an llms.txt file, compared to 12% across all platforms. The AI protocol adoption article covers these trends in more detail.

The takeaway isn't that everyone should switch to Next.js. It's that the principles behind its high scores, server-rendered HTML, clean routing, and intentional protocol configuration, can be applied to any platform.

Wix's average of 35 reflects structural limitations that are difficult to work around, not a lack of effort by Wix site owners.

Heavy JavaScript rendering. Wix sites are built on a proprietary JavaScript framework that renders most content client-side. While Wix has improved its SSR capabilities, many components still require JavaScript execution. AI crawlers that don't render JavaScript see a shell of the page. The Bot Access subscore for Wix averages just 41 out of 100.

Limited robots.txt control. Wix manages robots.txt centrally and provides limited customization options. Site owners can't easily add or remove user-agent directives for specific AI crawlers, which means they inherit whatever defaults Wix sets.

Restricted file hosting. Adding an llms.txt file on Wix requires workarounds because the platform doesn't natively support serving arbitrary text files from the root domain. Only 2% of Wix sites in our sample had an llms.txt file.

Basic schema implementation. Wix auto-generates some schema markup (Organization, LocalBusiness, Product for stores), but the implementation lacks depth. Custom schema types like FAQ, HowTo, and Article require manual JSON-LD injection through Wix's custom code feature, which most users don't know how to use.

WordPress deserves special attention because its score range of 22 to 94 is the widest of any platform. The same CMS produces both the worst and nearly the best AI readiness scores in our dataset.

The difference comes down to configuration. A default WordPress installation with a basic theme and no SEO plugins scores around 32. Add Yoast or RankMath with properly configured schema, a well-structured theme, and manual AI protocol implementation, and the same WordPress core scores 75 or higher.

The top 20% of WordPress sites average 78, which is competitive with Next.js. These sites share common characteristics: they run schema-rich plugins, have custom robots.txt configurations that explicitly allow AI crawlers, implement llms.txt through a simple file in the root directory, and publish content with clear author attribution.

WordPress's plugin ecosystem is both its greatest strength and weakness. Plugins like Yoast, RankMath, and Schema Pro make sophisticated AI readiness achievable without coding. But the average WordPress user installs none of these, resulting in a default experience that scores well below the CMS's potential.

Webflow at 58 occupies an interesting position. It scores 13 points above Squarespace and 20 above Shopify, largely because of two factors.

First, Webflow generates clean, semantic HTML from its visual designer. Unlike Wix, the rendered output is well-structured and doesn't require JavaScript execution for content access. AI crawlers can parse Webflow pages as effectively as they parse hand-coded HTML.

Second, Webflow provides full control over hosting and file structure. Users can add llms.txt files, customize robots.txt, and implement custom code in the page head, body, or specific elements. This flexibility lifts the AI Protocols subscore to 35, compared to 8 for Wix and 15 for Squarespace.

Webflow's main weakness is schema markup. The platform doesn't auto-generate structured data beyond basic website schema, and adding comprehensive schema requires custom code embeds. Only 28% of Webflow sites have Product or Article schema, compared to 45% for WordPress. If Webflow added native schema support, I'd expect its average score to climb to 65 or higher.

If you're choosing a CMS today and AI readiness is a priority, the data points clearly to Next.js for technical teams and WordPress for non-technical teams who will invest in proper plugin configuration.

If you're already on a lower-scoring platform, don't panic. Platform migration is expensive and disruptive. Instead, focus on the factors you can control within your platform. Every CMS allows you to improve content quality, and most allow some level of schema and protocol configuration.

The key insight from our data is that platform defaults matter more than platform ceilings. Most site owners never exceed their platform's default configuration. The sites that do, regardless of platform, consistently score 15-25 points above their CMS average. Your platform sets the floor, but your effort determines where you actually land.

For specific optimization steps on each platform, our complete AI readiness guide includes CMS-specific checklists.