Intelligence · State of AI 2026

Is the European hosting landlord era over?

Infrastructure maturation, commercial health, and AI value capture across the European digital ecosystem.

ShareShift.io presents the quarterly Web Tech Stack report. Insights are based on deep analysis of 3+ million new active domains spanning 19 European markets and the .ai zone. This intelligence report tracks the rapid redistribution of digital infrastructure value and adoption of AI applications by European SMBs.

Target

Euro Digital Ecosystem

Timeframe

Q2 2026

Author

Nadya Frost

Executive Verdict

The great decoupling.

The era of competing on raw domain volume is over. The next generation of web infrastructure for SMBs will be judged not by how many sites it hosts, but by how legible and actionable it makes those businesses to AI search engines and autonomous agents.

High-LTV developers are already bypassing traditional hosting, and launching natively on modern frontend frameworks deployed on hyperscaler infrastructure. Meanwhile, closed SaaS ecosystems are capturing the mainstream SMB market by operationalizing AI directly into the onboarding layer.

In stark contrast, traditional European hosters are acting like passive landlords, missing out on 95% of the net-new value creation happening at the application layer. To survive, operators must transition from passive infrastructure providers to the active Operating System of the SMB.

Part 1

The vanguard.

The .ai TLD is a leading indicator for tech-savvy investment and developer intent. Its stack diverges sharply from “normal” European websites.

The .ai innovation premium

High Utilization. Combined "Domain Only" and Inactive domains account for roughly 24% of the zone. This counters the narrative that .ai is purely a domainer-hoarded extension; active utilization remains exceptionally high.
Frameworks, not CMSes. Frameworks and custom solutions heavily outpace traditional CMS. WordPress, the legacy standard of the broader web, accounts for just 4% of the .ai zone.
Vibe-Coding is Trace. Despite high visibility in developer communities, autonomous app-generation tools (e.g., Lovable) account for less than 1% of the zone.

Baseline Comparison: Across Nordic markets, up to 71% of domains are inactive or broken. This low utilization highlights an aging, dormant portfolio with limited probability for upsell-driven ARPU growth.

71% of .ai domains controlled by 3 vendors

The .ai zone exhibits intense market concentration dominated by US-based DNS infrastructure. GoDaddy (inclusive of Afternic), Namecheap, and Cloudflare control 71% of the active DNS routing. By contrast, leading European providers (Hostinger, IONOS) hold a combined 4% share.

Strategic Insight

This market share is measured by DNS provision, which increasingly acts as a routing utility rather than a strict hosting indicator. A significant portion of Cloudflare's DNS volume masks the underlying compute layer. The actual application environments for these domains heavily favor modern platforms (e.g., Vercel) provisioned on hyperscaler infrastructure (AWS, GCP).

Top DNS providers in .ai zone

Thousands of active domains

The .ai technology stack

Active domain distribution

Other / Custom34.6%
Domain Only16.3%
Broken15.2%
Frameworks12.4%
Inactive8.3%
Other CMS7.1%
WordPress4.1%
Webflow1.2%
Vibe-coded0.8%

Part 2

Vercel & the compute decoupling.

Vercel exemplifies the growing decoupling of compute and routing layers, and is systematically undercounted in traditional market share reports.

Only about 15% of sites hosted on Vercel utilize its native DNS infrastructure. The remaining 85% build their frameworks and host their compute layer on Vercel, but route their traffic through third-party DNS providers. This architecture obscures its true footprint.

However, its true scope is significant: Vercel actively hosts over 69,000 digital assets in the .ai zone and 233,000 across core European ccTLDs.

Baseline Comparison: Traditional hosters (e.g., One.com, IONOS) typically see an 80/20 mix of new domain registrations versus inbound migrations. Infrastructure vendors like Cloudflare see a mix closer to 60/40 or even 50/50.

Strategic Insight

In most EU markets, Vercel's intake mirrors the pattern of a traditional hoster. It is overwhelmingly capturing brand-new customers with high lifetime value (LTV) at inception. It is not primarily growing by migrating legacy assets away from other hosts; it is winning the next generation of web applications before traditional providers even get a chance to compete. With the exception of Poland, inbound transfers represent a distinct minority of Vercel's growth.

Vercel active domains by TLD

Thousands of active domains

Vercel inbound transfer share

Share of Vercel intake by TLD (May ’26)

Part 3

The mainstream deployment.

Pivoting from the “AI-for-AI” developer vanguard to the broader consumer market: how mainstream European businesses leverage AI for online presence, and how they adjust to AI-driven discovery.

(A) The CMS shift

Europe's web used to run on WordPress, but the future is fragmented. WordPress is rapidly losing ground at the point of creation to Cloudflare proxies, modern frameworks, embedded AI builders, and closed SaaS ecosystems like Shopify. Within the actively deployed segment of this cohort, Cloudflare proxies handle roughly 29%, WordPress captures 37%, modern frameworks take 12%, embedded AI builders account for 9%, and Shopify holds about 4%. Meanwhile, true "vibe-coding" via tools like Lovable remains a statistical ghost, accounting for near-zero share across the active domains.

Baseline Comparison: Across the entire historical installed base of the internet, WordPress powers roughly 38% of all active websites. However, in this fresh 2026 cohort of new intake, WordPress accounts for only 17% of total new websites. It is rapidly losing ground at the point of origin, bleeding share primarily to modern frontend frameworks and SaaS platforms.

Strategic Insight

The Activation Deficit. Despite the hype around frictionless AI site generation, 36% of this entire cohort remains entirely undeveloped. Another 22% are parked or redirected. AI builders aren't accelerating time-to-value for the average user yet; instead, these dormant domains represent massive churn risk.

New European site status

Feb–Apr ’26 cohort · thousands of domains

No website / broken35.7%
Redirect / parked22.5%
Other21.7%
WordPress8.1%
Cloudflare6.4%
Frameworks2.6%
Embedded AI CMS2.0%
Shopify0.8%
Legacy CMS0.2%
Vibe (Lovable)0.0%

(B) Discoverability by default?

Answer Engine Optimization (AEO) dictates whether an SMB is cited by AI tools like ChatGPT or Perplexity. SMBs are not manually coding AEO; adoption happens almost entirely through platform defaults. The strategies fall into four distinct categories.

The Power of Defaults (llms.txt)

Because massive vendors like GoDaddy and Wix auto-deploy llms.txt files, roughly 14% of all new sites now feature them. Ostensibly, this gives LLMs a clean, text-based map of the site. However, emerging studies suggest these files may not consistently influence model behavior. The jury is still out on their actual effectiveness, but platform scale has made them ubiquitous overnight.

The Legacy Carryover (JSON-LD)

An old SEO standard that surprisingly doubles as a functional AEO signal. Because existing CMS products heavily rely on structured JSON-LD data, it is detected on roughly 1 in 4 new websites. Different AI models react to it differently, making it an open question, but its high baseline presence provides an accidental structural advantage.

The Defensive Play (Content-Signal)

Introduced by Cloudflare in late 2025, the content-signal header is already active on 25% of all Cloudflare-operated sites. This one-click setting explicitly instructs bots and models on what is scrapable and what is off-limits. Commercially, this is a powerful play that addresses data defense just as much as discoverability.

The Theoretical Standard (ANS DNS)

While the ANS DNS protocol enjoys heavy industry buzz and backing, it remains an IETF draft. With virtually zero live deployment, it highlights a classic infrastructure problem: multi-stakeholder bodies simply move too slowly to impact rapid AI innovation cycles.

Strategic Insight

Tactics requiring manual configuration will fail, while a simple default-on toggle guarantees deployment at scale. The real question is, is the deployed tech actually useful? So far, no-one has cracked the code on consistent LLM discoverability and AEO.

Part 4

The 2026 ledger & strategic insights.

To grow in saturated markets, European hosts must stop simply renting out unused gigabytes. The 'Landlord' era is over.

The new opportunity lies in directly driving customer success. Hosts must become the 'Operating System' for SMBs, turning static brochure sites into interactive hubs that handle ads, bookings, and customer queries. To evaluate this transition, ShareShift tracks the structural shift across two distinct dimensions:

(A) Horizontal Adoption: Website co-creation. Pivoting the top-of-funnel customer journey from domain-first to AI-first site generation.
(B) Vertical Adoption: The agentic front office. Deepening the service attach through web app generation, digital product vibe-coding, autonomous customer service, and bookings.

Horizontal adoption

Site co-creation & embedded AI.

The future of site generation belongs to fully autonomous agents like GoDaddy Airo. Today, however, adoption relies on embedded copilots — conversational prompts that assemble sites from legacy templates.

The Scale Leaders. GoDaddy (26.5%) sets the standard for bundling AI copilots right at the point of registration. Meanwhile, regional players like One.com (17.9%) are breaking out of the legacy pack, driving strong adoption with excellent active volumes.
The Right Playbook, Wrong GTM. Closed-ecosystem models naturally move faster. By embedding AI into its core offering, Wix transforms its product from within for every customer it onboards. However, with just a 3.3% market share in this cohort, its overall impact on absolute European volume remains small.
The White-Label Illusion. Meaningful embedded AI adoption currently exists only where the host controls the site-creation tool. Legacy groups showing minor traction in this area are largely white-labeling third-party builders (e.g., Duda AI). This score reflects the distribution reach of a resold product, not platform R&D investment by the host.
The Legacy Anchor. Most traditional European brands (OVHcloud, TransIP, OpenProvider) remain firmly anchored as passive infrastructure landlords. They are trapped with an Embedded AI rate of just 0–5%. They possess high domain volume, but their active compute layer is starving for AI density.

Vertical adoption

The agentic front office.

Vertical adoption tracks how deeply AI services are integrated into a site. It marks the transition from a static digital brochure into an autonomous front office.

Answer Engine Optimization (AEO). The vendors scoring highest in vertical density are primarily doing this right: actively preparing AI-friendly versions of the sites they publish. Hostinger's recent strategic rollout of llms.txt files has pushed their Agentic Density Score (11.03) significantly higher than legacy peers, despite a near-zero horizontal embedded rate.
The “Honest” Signal. Where organic demand exists outside of SaaS defaults, it relies heavily on WordPress AI plugins. While these tools are not yet mass-adopted, they require intentional user installation and represent the most broadly distributed intentional AI signal today.
Autonomous Engagement. Mainstream businesses are actively deploying customer-facing AI. Tools like Intercom's Fin are driving a willy-nilly adoption of AI chatbots, while emerging solutions like HeyGen are effectively automating video generation.
Agency Workflow Tools. ShareShift also tracks modern agency workflow platforms like Atarim and Userflow, indicating a fundamental shift in how sites are built. These tools are deployed by the highest-paying, high-LTV customers, adjusting the host's overall Agentic Density Score upward.

The penetration benchmark

What does success look like?

If transitioning into the AI-powered Operating System for SMBs is the goal, what does success look like?

The Achievable Standard (27%): GoDaddy reached a 27% adoption rate across its active portfolio, proving that volume-based AI adoption works at scale for mass-market providers. Meanwhile, closed ecosystems like Wix are already fully running on Embedded AI, serving as a powerful blueprint for how vertical product integration drives ubiquitous AI adoption.

Strategic Insight: Traditional European hosters are stuck at a 0–5% AI adoption rate, capturing almost zero AI-driven revenue. This is unsustainable in 2026. To survive, providers must stop acting as passive internet landlords and become the active Operating System for their SMB customers.

The AI Value Matrix

Volume vs. value, top European providers.

The horizontal axis measures Embedded AI penetration; the vertical (log) axis measures Agentic Density. Bubble size scales with active sites (thousands).

The ShareShift AI Value Matrix · Top European providers

Bubble size = active sites (k) · Volume vs. value map

Provider	Active Sites (k)	Embedded AI %	Agentic Density
Wix	7.72	100.00%	83.00
GoDaddy	12.86	26.55%	49.07
Squarespace	11.79	9.16%	16.67
One.com	5.78	17.92%	9.99
Hostinger	40.05	0.34%	11.03
IONOS	22.98	3.42%	11.46
OVHcloud	57.06	0.66%	2.59
Strato	12.82	4.05%	9.91
Gandi	9.68	5.30%	6.32
Hostnet	11.35	1.65%	1.00
OpenProvider	8.76	0.18%	0.34
Infomaniak	7.70	1.32%	4.89
Aruba	7.12	2.63%	6.50
All-Inkl	6.44	1.02%	8.70
Home.pl	3.33	0.84%	12.62
SiteGround	2.88	0.24%	8.46
TransIP	9.87	0.79%	2.85

Appendix

Methodology & scope.

Data Sourcing

Data is sourced via the ShareShift Scanner, a proprietary methodology that interprets publicly available technical signals from the web. The latest telemetry scans were delivered on May 21, 2026.

Scope

1.2M domains in the .ai zone and 1.1M domains across European ccTLDs. The AI Value Matrix specifically analyzes a cohort of 500k+ European domains created between Feb–Apr 2026 that resolve to an identifiable platform. Hyperscalers and Cloudflare-DNS domains with no content fingerprint are excluded. Domains registered in the trailing three weeks are excluded for standard setup times. .com, .eu, and other generic domains are not covered in this regional research.

Attribution Methodology

To overcome the blind spots of legacy DNS-reliant metrics, ShareShift measures the actual application compute layer via HTTP headers and content fingerprints wherever possible. Traditional DNS signals are only utilized as a last resort to augment the data.

Detectability Constraints

The AI Value Matrix covers known tech and only the signals that are detectable. It is currently impossible to definitively establish whether a standard WordPress install or a framework-powered site was built using AI. We follow known, deterministic signals on Embedded AI — a highly verifiable baseline, though not the full reality of how all content is generated and deployed.

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