Granola Runs Revenue On Attio
"When I think of revenue, I think of Attio." - Shreman Shrestha, Head of Business at Granola
Here's what that adds up to:
Zero missed leads and 10x faster access to customer context
Lead triage 83% faster
Five hours saved per week with automated updates
AI is changing how websites are planned, written, translated, maintained, and searched. It has not removed the need for content management systems. Instead, it is changing what users expect from them.
WordPress remains the most widely used CMS. W3Techs data from September 2026 shows it on 40.7% of all websites. Among websites using a recognised CMS, its share is 58.9%. Shopify follows with 5.3% of all websites, while Joomla and Drupal serve smaller but still important segments.
The scale of WordPress comes from its long history, open-source model, theme ecosystem, plugins, and large pool of developers. AI tools now fit into this structure through plugins and external services. They can assist with draft creation, search, image descriptions, translation, customer support, metadata, and code suggestions.
This does not mean that AI creates reliable websites without human work. AI-generated pages can repeat weak information, create factual errors, or make content look too similar across many sites. Editors, developers, and publishers still need to check facts, protect user data, maintain site speed, and review every automated workflow.
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Joomla remains useful for organisations needing structured content, access controls, and multi-language administration. Its smaller market share does not make it irrelevant. Government, education, membership, and institutional websites often need stronger permissions and defined publishing roles than a simple blog setup provides.
Drupal has a similar position in larger and more complex digital systems. It is commonly considered when an organisation has many content types, multiple user roles, integrations, or public-service requirements. AI can help Drupal teams classify content and improve search, but deployment usually requires technical planning.
Shopify has become a major platform because online stores need a combined system for products, payments, orders, inventory, and customer communication. AI is being added to product descriptions, storefront search, customer messages, and merchant analysis. Yet product accuracy, delivery information, pricing, and customer trust remain business responsibilities.
Wix and Squarespace continue to serve people who need a website without managing servers or complex software. Their AI features can reduce the time needed for initial layouts and basic copy. But template-based platforms may become limiting when a site later needs custom publishing workflows, advanced performance control, or a complex content archive.
Headless CMS platforms represent another direction. They separate content storage from the website or app that displays it. A single article can then appear on a website, mobile app, newsletter, voice interface, or internal system. This model fits organisations publishing across many channels, though it usually needs more development work.
The AI era is also increasing the value of content structure. A website that stores clear titles, author details, dates, categories, product data, images, and internal links is easier to manage. It is also easier to search, update, distribute, and review through AI-assisted tools.
Platform choice should begin with the work the site must do. WordPress suits many publishers and business sites. Joomla and Drupal fit structured institutional needs. Shopify fits commerce operations. Wix and Squarespace fit simpler websites. Headless systems fit multi-channel organisations with technical resources.
The central question is no longer which CMS has AI features. Most major platforms now do. The real question is whether the platform gives the publisher control over content quality, data, performance, security, and future changes.
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