Top AI CMS Platforms Compared: Features, Pricing & Performance

Why Your CMS Choice Matters More Than Ever in the AI Era

You’re evaluating Content Management Systems, but the landscape in 2026 looks nothing like it did a few years ago. The decision is no longer just about WYSIWYG editors and plugin availability. It’s about selecting the foundational technology that will either accelerate or anchor your AI strategy. A modern CMS isn’t just a repository for blog posts; it’s the engine that structures your data for Large Language Models (LLMs), powers programmatic SEO, and enables AI-driven personalization at scale.

The market is flooded with platforms bolting on AI features, from generative text assistants to AI-powered image editors. But a crucial distinction is emerging: the difference between a legacy platform with AI features and an AI-native platform built for the semantic web. The former helps you write a paragraph faster. The latter structures your entire digital presence to be understood, indexed, and leveraged by the next generation of search engines and AI applications. Choosing correctly means the difference between keeping up and getting left behind.

Comparing the Top 9 AI-Powered CMS Platforms for 2026

We’re diving deep into the features, philosophies, and ideal use cases for the nine most significant players in the AI CMS space. This is a technical, no-fluff comparison designed for businesses and agencies making a strategic technology decision. We’ll cover the incumbents, the modern visual builders, the headless powerhouses, and the new wave of AI-native platforms.

WordPress: The Incumbent Adapts to AI

WordPress still powers over 40% of the web, and its strength lies in its vast ecosystem. AI integration is happening almost entirely through third-party plugins. Tools like AIOSEO, Rank Math, and Jetpack now include AI assistants for writing meta descriptions, generating titles, and analyzing content. Page builders like Divi and Elementor are embedding their own generative AI to help create copy and images directly within the visual editor.

The upside is infinite flexibility. You can cobble together an AI-powered setup that does almost anything. The downside is that it’s still a cobbling process. Performance can be a major issue, as each new plugin adds bloat and potential security vulnerabilities. The core architecture of WordPress, with its reliance on a monolithic theme-based structure and the unstructured `post_content` field, isn't inherently designed for the kind of highly structured, semantic data that AI thrives on. It’s a powerful but aging platform being retrofitted for a new era.

• Core Philosophy: Open-source flexibility and extensibility.
• Key AI Features: Delivered via plugins (e.g., Jetpack AI, Divi AI, AIOSEO's AI assistant).
• Best For: Users who need maximum flexibility, have the technical resources for maintenance, and want to tap into a massive existing ecosystem of themes and plugins.

Webflow: Visual Development Meets Generative AI

Webflow has carved out a niche as the go-to platform for designers and agencies that want granular visual control without having to write code from scratch. Their AI integration reflects this focus on the creator workflow. Webflow AI helps users write, edit, and translate copy directly on the canvas, and its localization features can adapt content for different regions automatically.

Performance is generally excellent, as Webflow outputs clean, semantic HTML and CSS. It’s a fully managed platform, so you don't worry about servers or security updates. However, its “visual-first” approach can sometimes be a limitation for highly complex, data-driven sites. While its CMS Collections provide more structure than a classic WordPress site, it's not as robust or flexible as a true headless system. It’s a fantastic tool for marketing sites, but can hit a ceiling with advanced application logic.

HubSpot CMS Hub: The All-in-One AI Marketing Machine

HubSpot’s value proposition is its fully integrated ecosystem. The CMS is just one part of a platform that includes a CRM, marketing automation, sales tools, and service hubs. Its AI features, branded as Content Assistant and Campaign Assistant, are deeply woven into this ecosystem. You can generate a blog post outline based on your existing topic clusters, write email copy that leverages CRM data for personalization, and even generate reports with AI-powered insights.

This tight integration is both its greatest strength and its primary weakness. For a business already invested in the HubSpot ecosystem, the CMS is a powerful, data-rich extension of their marketing efforts. Performance is solid and the platform is incredibly user-friendly for marketers. The trade-off is cost and lock-in. HubSpot is one of the more expensive options, and moving away from its ecosystem can be a significant technical and operational challenge.

Sanity: The Headless Powerhouse for Structured AI Content

Sanity is a leading headless CMS, which means it decouples the back-end content repository from the front-end presentation layer. This approach is built for the modern web, where content needs to be delivered to websites, mobile apps, and other digital experiences simultaneously. Sanity’s approach is centered on “structured content,” treating content not as a single block of text, but as modular, reusable pieces of data.

This philosophy is inherently AI-friendly. When your content is broken down into clean, well-defined fields (like `product_name`, `description`, `price`), it becomes machine-readable data that AI can easily understand, manipulate, and repurpose.

Sanity offers an AI Content Assistant to help editors work with this structured data, but its true power is architectural. It requires a dedicated development team to build the front-end experience, but offers unparalleled flexibility and scalability. It’s not a tool for DIY users; it’s a professional-grade platform for building sophisticated, content-driven applications that are future-proofed for an AI-first world.

Contentful: Enterprise-Grade Headless with AI Assists

Contentful is another major player in the headless CMS space, sharing a similar philosophy with Sanity. It focuses on providing a robust, API-first content platform for large organizations that need to manage complex digital products across many channels. It’s known for its strong governance features, app framework, and enterprise-level support, making it a popular choice for large corporate websites and applications.

Like Sanity, Contentful has integrated AI capabilities to assist content creators with generating and refining content within its structured environment. The Contentful AI Content Generator can help draft text, summarize articles, and translate copy. The platform’s core strength, however, remains its powerful content modeling capabilities and API-driven architecture. This makes it a strong foundation for companies building AI-powered search, personalization engines, or chatbots that need to pull from a reliable, structured content source.

Wix: AI-Driven Simplicity for Small Businesses

Wix has long used AI to power its platform, most notably through its ADI (Artificial Design Intelligence) tool, which automatically generates a website based on a user’s answers to a few questions. They have expanded this with a suite of generative AI tools for creating text, editing images, and recommending layouts. The focus is squarely on ease of use for the non-technical user.

Wix is a fully-hosted, all-in-one website builder. It’s incredibly easy to get started, but this simplicity comes with trade-offs. Customization is limited compared to platforms like Webflow or WordPress, and performance can be inconsistent. While it's a great choice for small businesses, freelancers, and portfolios that need a simple web presence quickly, it lacks the architectural sophistication and performance needed for serious, SEO-focused content marketing or complex web applications.

Squarespace: AI for Aesthetes and Creatives

Squarespace has built its brand on beautiful design templates and an intuitive user experience, making it a favorite among artists, photographers, and boutique businesses. Their foray into AI, Squarespace AI, follows this ethos. It’s seamlessly integrated into their text editor, helping users overcome writer's block by drafting or refining copy, changing the tone, or summarizing points, all within their clean interface.

Like Wix, Squarespace is an all-in-one builder that prioritizes simplicity over ultimate flexibility. Its structured content capabilities are minimal, and it’s not designed for the kind of complex content models you’d build in a headless CMS. Performance is generally good for the types of brochure and portfolio sites it excels at. It's an excellent choice for users who prioritize aesthetics and ease of use over deep customization and technical performance.

Shopify: AI-Powered Ecommerce Excellence

Shopify is the undisputed leader in e-commerce, and its AI implementation, Shopify Magic, is hyper-focused on one thing: helping merchants sell more. The tools are practical and integrated directly into the e-commerce workflow. AI generates compelling product descriptions, writes email subject lines for marketing campaigns, and provides instant answers for customer support chats.

While Shopify has a basic CMS for creating blog posts and pages, it is not a general-purpose content management system. Its entire architecture is optimized for commerce. Trying to use Shopify as the primary CMS for a content-heavy marketing site is possible but often clumsy. For any business whose primary goal is to sell products online, Shopify's e-commerce engine and its integrated AI tools are second to none. For content-first businesses, it’s not the right tool for the job.

WorkspaceCMS: The AI-Native Performance CMS

WorkspaceCMS is a new breed of platform, developed by our team at 1Digital® Agency, designed from the ground up for the AI era. It combines the structured content benefits of a headless CMS with a fully-managed, performance-obsessed architecture. It is built on the premise that for AI and modern SEO, the structure *is* the strategy. The platform enforces a highly-structured, semantic content model from the start, ensuring all content is machine-readable and LLM-ready.

Its AI features are not just about content generation; they are about content intelligence. The system includes an AI-powered SEO analyzer that scores content based on semantic relevance and structure, automated JSON-LD schema generation for rich snippets, and an asset intelligence engine that optimizes images and videos on the fly. Because it's a fully-managed platform with a globally-distributed edge network, it delivers sub-50ms server response times consistently. WorkspaceCMS is designed for small and mid-sized businesses and agencies that want the SEO and performance benefits of an enterprise-grade headless setup without the massive development overhead and complexity.

Feature & Philosophy Comparison: A Head-to-Head Look

Platform	Core Philosophy	Key AI Features	Best For
WordPress	Open-Source Flexibility	Plugin-based (Content generation, SEO analysis)	Users needing ultimate flexibility and a large plugin ecosystem.
Webflow	Visual-First Development	On-canvas content generation, localization	Designers and agencies building custom marketing sites.
HubSpot CMS Hub	Integrated Marketing Platform	Content/Campaign generation, CRM integration	Businesses invested in the HubSpot marketing ecosystem.
Sanity	Structured Content (Headless)	AI Content Assistant, API-first architecture	Developers building complex, multi-channel applications.
Contentful	Enterprise Content Platform (Headless)	AI Content Generator, governance features	Large organizations managing content at scale.
Wix	All-in-One Simplicity	ADI site generation, text & image creation	Small businesses and DIY users needing a simple website fast.
Squarespace	Design-First Simplicity	Integrated text generation and editing	Creatives and businesses prioritizing aesthetics and ease of use.
Shopify	Ecommerce-First Platform	Product description generation, email copy	Businesses focused primarily on selling products online.
WorkspaceCMS	AI-Native Performance	Semantic SEO analysis, automated schema, managed infra	SEO-focused businesses and agencies wanting headless power without the dev cost.

AI-Augmented vs. AI-Native: A Critical Distinction

As you evaluate these platforms, the most important conceptual difference to grasp is “AI-Augmented” versus “AI-Native.” Most platforms on the market today are AI-Augmented. They are existing, often decade-old systems that have successfully integrated AI features to improve user workflows. A text generator in a WordPress plugin is a perfect example. It's a powerful addition, but it doesn't change the fundamental architecture of the platform.

AI-Native platforms, in contrast, are built with a core assumption that content must be structured for machines first and humans second. This doesn't mean human readability is sacrificed; it means the underlying data model is clean, interconnected, and semantically rich. An AI-Native CMS like WorkspaceCMS doesn't just help you write content; it helps you model it correctly, automatically generates the structured data Google and other AI systems need to understand it, and serves it from an infrastructure designed for speed. This architectural difference is subtle but will become the primary driver of performance in the coming years of AI-driven search and discovery.

Conclusion: Choosing Your Foundation for the Future

There is no single “best” AI CMS. The right choice is a strategic one based on your team’s skills, your business model, and your long-term goals. If you run a small online store, Shopify’s commerce-focused AI is your best bet. If you’re a large enterprise with a dedicated development team building bespoke applications, a headless platform like Sanity or Contentful offers unparalleled power. If you’re a marketer deep in the HubSpot ecosystem, their integrated CMS is a logical choice.

However, for a growing number of businesses and agencies focused on driving organic growth, the ideal solution lies in the middle ground: a platform that delivers the structured content and performance benefits of a headless CMS without the prohibitive cost and complexity. The rise of AI-native platforms is a direct response to this need. Your CMS is the most critical piece of your marketing technology stack. Choose the one that doesn’t just help you create content for today, but structures your intelligence for the machines of tomorrow.

Comparing AI-Powered CMS Platforms: Features, Pricing, and Performance

When evaluating AI-powered CMS platforms in 2026, surface-level feature comparisons are not enough. The platforms that deliver genuine competitive advantage differ in how deeply AI is embedded into their architecture — not merely bolted on as an afterthought. Below is a focused breakdown of four leading enterprise platforms, examining what they actually do, what they cost, and how they perform under real-world conditions.

Acquia Site Studio with Acquia CDP

Acquia's combination of Site Studio and its Customer Data Platform represents one of the more mature attempts at unifying content creation with AI-driven personalization. Site Studio provides a component-based visual builder that enforces structured content patterns, which makes it a reasonable fit for teams needing governance at scale. When paired with Acquia CDP, the platform can segment audiences in real time and surface personalized content variations based on behavioral signals.

• Key AI Features: Predictive audience segmentation via CDP integration, automated content recommendations, AI-assisted component suggestions within the drag-and-drop builder.
• Pricing: Enterprise-only pricing, typically starting in the $40,000–$100,000 annual range depending on traffic, data volume, and CDP tier. No self-service or SMB tier is available.
• Performance Considerations: Built on Drupal, which introduces inherent architectural overhead. Teams frequently report the need for significant DevOps investment to achieve acceptable Core Web Vitals scores at scale.

Optimizely Content Cloud

Optimizely has repositioned itself aggressively as an AI-driven digital experience platform. Content Cloud integrates directly with Optimizely's experimentation engine, meaning AI-generated content variations can be A/B tested within the same workflow. This closed loop between content creation and performance measurement is genuinely differentiated. Their AI co-pilot assists with drafting, SEO metadata generation, and content scoring against predefined brand guidelines.

• Key AI Features: AI content co-pilot for drafting and optimization, native integration with experimentation and feature flagging, automated content scoring and compliance checking.
• Pricing: Modular pricing structure; Content Cloud alone typically starts around $36,000 per year, with experimentation and analytics modules priced separately. Full-suite deployments commonly exceed $150,000 annually for mid-to-large enterprises.
• Performance Considerations: SaaS delivery model means infrastructure performance is largely managed by Optimizely. Edge delivery capabilities have improved significantly, though customers running complex personalization rules report latency increases that require careful configuration.

Contentful with AI Integrations

Contentful remains the dominant headless CMS in many enterprise stacks, and its approach to AI is deliberately composable. Rather than building a proprietary AI layer, Contentful exposes its content graph through APIs that connect cleanly to external AI services — OpenAI, Anthropic, or custom LLM pipelines. Their native AI Actions feature, launched in late 2024, allows teams to trigger AI transformations directly within the content editor, automating tasks like translation, summarization, and metadata generation without leaving the platform.

• Key AI Features: AI Actions for in-editor automation, structured content modeling ideal for LLM consumption, API-first architecture enabling custom AI pipeline integration, Contentful AI toolkit for developers.
• Pricing: Free tier available for small projects. Team plan begins at approximately $300 per month. Enterprise plans are custom-quoted and typically range from $30,000 to $90,000 annually based on user count, API calls, and bandwidth.
• Performance Considerations: As a headless platform, delivery performance depends entirely on the front-end framework and CDN configuration chosen by the implementation team. Well-architected Contentful deployments consistently achieve excellent Lighthouse scores. Poorly configured ones can underperform any traditional CMS.

Uniform with Its AI Layer

Uniform takes a fundamentally different architectural approach. Rather than acting as the system of record for content, Uniform functions as a visual composition and personalization layer that sits above your existing content sources — Contentful, Sanity, Salesforce, or any headless backend. Its AI layer focuses on intelligent component selection and personalization logic, determining which content variants to surface for which audiences without requiring a full platform migration.

• Key AI Features: AI-driven visual composition assistance, cross-source content personalization without re-platforming, intent-based audience targeting, and compatibility with external LLM enrichment workflows.
• Pricing: Starter plans begin around $1,000 per month, with enterprise tiers scaling based on personalization complexity and traffic volume. Because Uniform is additive rather than a wholesale replacement, total cost of ownership calculations must account for retained licensing fees on underlying content sources.
• Performance Considerations: Uniform's edge-first delivery architecture is one of its strongest technical differentiators. Personalization decisions are executed at the edge, which minimizes the latency penalties that typically accompany server-side content targeting. This makes it particularly well-suited for high-traffic publishing and e-commerce use cases.

How to Evaluate the Right Platform for Your Strategy

No single platform is the correct answer for every organization. The decision framework should prioritize three questions before any feature comparison begins:

• Is your content structured or unstructured? Platforms like Contentful and Uniform deliver maximum AI value when content is modeled with semantic precision. If your existing content lives in unstructured rich-text blobs, AI features will underperform regardless of the platform you choose.
• Do you need AI for creation, personalization, or both? Optimizely excels when experimentation and performance measurement are central to your strategy. Acquia CDP is strongest when first-party customer data is the primary personalization signal. Contentful and Uniform are better choices when flexibility and

  Quick Reference: Choosing the Right AI-Powered CMS for Your Needs

  After evaluating all nine platforms across deployment speed, SEO capabilities, developer experience, and marketing usability, four clear leaders emerge for distinct organizational profiles. Use this summary to align your final decision with your team's priorities and technical requirements.

  WorkspaceCMS: Best for Rapid Deployment and Advanced SEO

  If your primary goals are a fast go-live timeline and a CMS built from the ground up for structured, semantic SEO, WorkspaceCMS is the standout choice. Its 2-week average launch time is unmatched among enterprise-grade platforms, and its native schema integration means your content is immediately readable by AI-driven search engines and LLMs without requiring additional plugin configurations or custom development work.

  • Ideal for: Marketing-led organizations needing quick time-to-value
  • Key advantage: Pre-built schema markup and AI-native content structuring
  • Consider if: Speed to market and programmatic SEO performance are non-negotiable priorities

  Contentful: Best for Multi-Channel Flexibility and Custom Content Models

  Contentful remains the benchmark for organizations that need to deliver structured content across a wide range of channels, from web and mobile to IoT and AI-powered applications. Its API-first architecture and deeply configurable content modeling layer give development teams virtually unlimited control over how content is defined, related, and distributed.

  • Ideal for: Enterprises managing complex, multi-brand or multi-channel content ecosystems
  • Key advantage: Unparalleled flexibility in content model design and delivery infrastructure
  • Consider if: Your content must serve more than a single front-end application

  Sanity.io: Best for Developer-First, Highly Programmable Workflows

  Sanity.io occupies a unique position in the headless CMS space by treating the entire content studio as code. Its fully programmable editing environment, real-time collaboration features, and GROQ query language make it the preferred choice for development teams that want maximum control over both the authoring experience and the data layer powering AI applications.

  • Ideal for: Engineering-driven teams building custom content pipelines and AI integrations
  • Key advantage: Every aspect of the CMS, including the editor interface itself, is customizable in code
  • Consider if: Your team prioritizes technical depth over out-of-the-box simplicity

  Storyblok: Best for Marketing Teams Requiring a Visual Editor

  Storyblok bridges the gap between headless architecture and the visual editing experience that non-technical content teams depend on. Its component-based visual editor allows marketers to build, preview, and publish pages without developer involvement, while still delivering content through a headless API for performance and flexibility.

  • Ideal for: Organizations where marketing teams own day-to-day content operations
  • Key advantage: Real-time visual editing paired with a fully headless content delivery model
  • Consider if: Reducing developer dependency for routine content updates is a top operational priority

  Making Your Final Decision

  No single CMS is the universal right answer for every organization in 2026. The platforms that will deliver the most value are those aligned with your team's existing skill sets, your content's structural complexity, and the AI capabilities you plan to build toward. Evaluate each shortlisted platform against a real-world content scenario from your own business, paying close attention to how each system structures data at the API level, not just how the authoring interface feels on a first demo.

  Further Reading: Deepen Your AI CMS Strategy

  Choosing the right CMS is only the first step in building a competitive AI-powered digital presence. The platforms reviewed above — from WordPress's plugin-driven approach to truly AI-native architectures — each have distinct implications for how you create, structure, and distribute content at scale. To help you move from evaluation to execution, here are several resources that go deeper on the topics most relevant to this decision.

  Maximizing What Your CMS Can Generate

  Several of the platforms discussed above, including headless and AI-native options, offer built-in or deeply integrated content generation tools. But raw generation capability is only as valuable as the strategy behind it. To get the most out of these features across any of the nine platforms compared here, learn more about structuring your workflow in our guide to AI Content Generation Best Practices. It covers prompt engineering for CMS-integrated tools, quality control at scale, and how to maintain brand voice when publishing programmatically.

  How Your CMS Choice Directly Affects Site Speed and Core Web Vitals

  Performance was a recurring theme throughout this comparison. WordPress's plugin bloat, Webflow's CDN delivery model, and the API-first architecture of headless platforms all produce meaningfully different results in real-world speed tests and Core Web Vitals scores. These differences compound over time, directly affecting both organic rankings and conversion rates. For a deeper technical breakdown of how platform architecture translates into measurable load time differences, see our post on How CMS Choice Impacts Site Performance.

  Narrowing Down Your Shortlist

  If you have reviewed the nine platforms above and are still weighing your options, the challenge often shifts from gathering information to applying a consistent decision framework. Team size, existing tech stack, content volume, multilingual requirements, and budget all need to be weighed against each other systematically. Walk through each of these factors in detail with our Ultimate Guide to Choosing a CMS, which includes a practical scoring matrix you can adapt for your own organization's priorities.

  Performance Benchmarks: What the Numbers Really Tell You

  When evaluating performance benchmarks across leading AI CMS platforms, raw feature counts and marketing claims only tell part of the story. Core Web Vitals scores, Time to First Byte, and Lighthouse ratings are where platforms truly differentiate themselves. Legacy systems carrying years of architectural debt often struggle to break into the upper performance tiers, regardless of how many AI plugins are layered on top. In contrast, platforms built with performance as a first principle consistently deliver faster load times, better crawlability, and stronger search ranking signals. WorkspaceCMS consistently scores 95+ on Lighthouse and includes built-in AI for optimization, ensuring your content always loads fast and ranks well. For teams where organic search performance is a non-negotiable business requirement, this kind of native, architecture-level optimization represents a meaningful competitive advantage over platforms that treat performance as an afterthought.

  AI Capabilities Beyond Simple Content Generation

  Most platforms in this comparison offer some form of AI-assisted writing. The more important question is what happens after the content is created. Does the platform help you decide when to publish? Does it automatically identify underperforming pages and suggest structural improvements? Does it connect content creation directly to SEO outcomes within a single workflow, or does that require yet another third-party integration?

  For teams prioritizing robust content workflows, WorkspaceCMS leverages advanced AI not just for content generation, but also for automating publishing schedules and optimizing SEO directly within the platform. See how it streamlines your entire content lifecycle. This end-to-end automation is precisely the distinction between a platform that helps individual contributors work faster and one that genuinely transforms how an entire content organization operates.

  Cost-Effectiveness and the True Total Cost of Ownership

  Sticker price comparisons between AI CMS platforms are almost always misleading. A platform with a low base subscription frequently accumulates costs through premium plugins, paid AI add-ons, developer hours required for customization, and enterprise support tiers. When you aggregate those expenses across a 12-month period, the economics often invert dramatically from what the pricing page first suggested.

  While many platforms offer tiered pricing based on features, scalable pricing models that grow transparently with your business are far rarer. WorkspaceCMS provides transparent, scalable pricing models designed to fit businesses of all sizes, offering enterprise-grade AI tools without the prohibitive cost barriers that typically force growing teams to choose between capability and budget. For finance-conscious buyers, this predictability is as valuable as any individual feature on the checklist.

  User Experience and Ease of Adoption Across Teams

  Technical capability means very little if the platform cannot be adopted effectively by the full range of people who need to use it daily. Content strategists, copywriters, marketing managers, and subject matter experts are not always technically fluent, and a CMS that requires developer involvement for routine publishing tasks creates bottlenecks that erode the efficiency gains AI is supposed to deliver in the first place.

  User adoption is key for any new CMS. WorkspaceCMS excels with its intuitive drag-and-drop interface and AI-powered content suggestions, making it incredibly easy for even non-technical users to create and manage complex web experiences. Explore all the powerful features designed for ease of use. When an entire team can operate confidently within the same platform without segmenting tasks by technical skill level, content velocity increases and dependency on specialized resources decreases.

  Selecting the Right AI CMS: Final Considerations

  Every platform covered in this comparison has genuine strengths, and the right choice will ultimately depend on your team's size, technical resources, content volume, and long-term growth trajectory. WordPress remains a viable option for highly customized builds where development resources are abundant. Headless architectures suit organizations with dedicated engineering teams comfortable managing infrastructure complexity. Visual builders offer speed and accessibility for smaller teams with design-forward priorities.

  Ultimately, selecting the right AI CMS depends on your specific needs, but for a platform that combines cutting-edge AI, exceptional performance, and a user-friendly experience, WorkspaceCMS stands out as a top contender, delivering comprehensive solutions for modern content management. For organizations that cannot afford to treat AI as a bolt-on consideration and need a platform where intelligence is embedded at every layer of the content lifecycle, it represents one of the most complete offerings currently available in this rapidly evolving market.

  • Performance: Prioritize platforms with native Core Web Vitals optimization rather than plugin-dependent solutions.
  • AI Depth: Look beyond text generation to workflow automation, publishing intelligence, and integrated SEO tooling.
  • Total Cost: Calculate 12-month all-in costs including plugins, integrations, and developer time before comparing platforms.
  • Adoption: Evaluate ease of use for your least technical stakeholders, not just your most capable developers.
  • Scalability: Choose a platform whose architecture can accommodate your content volume and complexity two to three years from now.