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Roboto converged Slingshot Bio's WordPress and Shopify sites into one headless Shopify build on Next.js and Sanity, instrumented end to end and AI-ready.
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From Payload to Kontent.ai
We are the Payload to Kontent.ai migration experts
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The process
How we migrate from Payload to Kontent.ai
- 01
Access and gating audit
First we check the existing Payload and see whether the data is clean enough to move straight over to Kontent.ai, and plan around any auth walls or bot protection in the way.
- 02
Rendering assessment and extraction
Then we work out how Payload renders its pages and pull the content out, even without CMS access.
- 03
AI-assisted sanitization
Everything extracted runs through our sanitization pipeline, which flags slop, normalizes structure, and leaves us clean content to work with.
- 04
Content-model design with the client
Before anything moves, we agree the Kontent.ai content model with you, shaped around how your editors actually work.
- 05
Transform and soft-migrate
We transform the content to the agreed schema and run a full dry run, so mappings and edge cases prove out before production.
- 06
Execute the real migration
Once the dry run is clean, everything moves into Kontent.ai in one controlled cutover.
- 07
Redirect mapping and throttled sitemap submission
Every old URL gets mapped to its new home with the right redirect, so rankings and link equity survive the move.
- 08
Agentic-browser QA
Finally, automated browsers sweep the new site for data issues, design regressions, and missing SEO signals.
- Ready when you are. We'll bring the moving boxes.Start my migration
Challenges with Payload
Key pain points
Payload’s biggest issue is how quickly it hands you the responsibility baton. Because it leans so heavily on self-hosting, you’re suddenly running databases, managing infra, dealing with scaling, and debugging auth quirks at 11 pm. And since the platform is still maturing, updates can feel unpredictable, and the surrounding ecosystem isn’t quite deep enough yet to soften the landing when something breaks. The recent Figma acquisition didn’t help either. Support has felt a bit lighter, and some priorities clearly shifted, alongside pricing.
Payload feels flexible on day one, the moment your project grows you’re either engineering around gaps or paying more than expected. If you're debating whether Payload fits the future of your stack (or you’re already feeling the cracks), we’re always happy to help you plan a cleaner path or a migration that won’t come back to bite you.
Steep learning curve
Payload’s code-first approach means you need solid dev experience to use it effectively. Non-technical teams will struggle, and onboarding takes longer compared to more guided CMSs.
Smaller ecosystem of plugins
There aren’t many ready-made extensions, so you’ll end up building features yourself. This adds development time and increases long-term maintenance.
Potential performance overhead
Because it’s a full JavaScript backend, Payload can get resource-heavy under high traffic. You’ll need to optimise your server setup and monitor performance more closely.
Gaps in documentation
The docs are improving, but there are still missing pieces and unclear sections. New users often have to dig through GitHub issues to find answers.
Small community
The community is growing but still small, so there’s less shared knowledge, fewer tutorials, and slower troubleshooting compared to bigger CMS ecosystems.
Requires separate hosting
Payload doesn’t come with built-in hosting, so you’re responsible for setting up and managing your server. That adds extra cost, extra setup, and extra operational overhead.
Benefits of Kontent.ai
Key advantages
Calling your CMS "Kontent dot ai" is a brilliant way to convince people you’ve built an AI-powered future. And to be fair, the platform does have a clean editor, strong workflow tools, and a respectable multi-channel setup.
It's perfect for the kind of company that has more infosec members than it does have devs. But calling yourself an AI platform doesn’t mean you’re built like one.
Real AI-driven CMS platforms start at the foundation with structured content, flexible modeling, real-time indexing, and an architecture that doesn’t panic the moment you try something complex. Sanity doesn’t even market itself as "AI-first," but it’s been ahead of the curve for years. They shipped an embedding index before "AI CMS" was a pitch deck buzzword. We even built one of the first AI search tools on top of it.
So yes, Kontent.ai is great. If you want a polished interface and enterprise workflows, go for it. And if you’re dead-set on building your website there, talk to us first. We’ll walk you through it and maybe even find a better way before you spend six months discovering the limits yourself.
Intuitive content management
You shouldn’t need a week of onboarding to publish a paragraph. Kontent.ai nails this with a clean interface that doesn’t punish you for being a marketer instead of a developer.
Flexible content modeling
Build content the way your brain works. Modular, structured, reusable. No dev intervention every time marketing decides "we need one more field."
Strong API-first architecture
The APIs are predictable, well-documented, and don’t require wild workarounds. Everything connects the way it should and developers stay happy too.
Tech stack integration
React, Vue, Angular, or whatever framework you’re obsessed with this week, Kontent.ai plays nice with all of them and keeps deployments smooth.
Advanced image transformations
You can resize, crop, and optimize visuals without leaving the CMS. Think of it as an in-house designer that doesn’t complain about aspect ratios.
Real-time collaboration
Writers, editors, and developers can work together without stepping on each other’s commits. Instant updates, fewer Slack messages, and zero "who overwrote my draft?" moments.
Common questions
Payload to Kontent.ai migration FAQs
Answers to the most common questions about Payload to Kontent.ai migration
How hard is it to migrate away from Payload CMS?
Payload stores content in MongoDB or Postgres, so extracting your data is straightforward compared to proprietary platforms. The real work is restructuring your content model for the target CMS and rebuilding any custom access control logic you've written. We typically complete Payload migrations in 3 to 6 weeks depending on how much custom backend logic is involved. The code-first nature of Payload means most of the content model is well-documented in your own codebase, which actually makes migration planning easier.
What are the main reasons teams leave Payload?
The most common reasons we hear are infrastructure fatigue and ecosystem gaps. Payload requires you to manage your own database, hosting, auth, and scaling. Teams that chose Payload for its developer flexibility eventually realise they're spending more time on DevOps than on content features. The Figma acquisition in 2025 also shifted priorities. Payload paused new Cloud project deployments afterward (existing projects keep running), and some teams feel the platform's direction became less predictable. Visual editing and live preview still require significant custom engineering compared to platforms that ship them natively.
What does a Payload to Sanity migration cost?
For a typical content site with 200 to 1,000 documents, we estimate 4 to 6 weeks of work. The bulk of effort goes into rebuilding the admin experience and frontend integration, not the data transfer itself. Payload's MongoDB exports are clean, so content migration scripts run reliably. The cost depends heavily on how much custom auth logic and access control you've built, since that needs to be rebuilt in the target platform's permission system. We scope every migration individually after reviewing your Payload config.
How much does Kontent.ai cost?
Kontent.ai hides pricing behind a "book a demo" wall, which is never a good sign for budget planning. Based on what we've seen across client engagements, the Developer plan is free but extremely limited (1 user, 2 languages). The Scale plan starts around $1,249/month (billed annually), and Enterprise pricing goes higher depending on API usage, content items, and seats. The real cost is in implementation. Kontent.ai requires upfront developer time to set up content models, build a custom preview pipeline (there's no native live preview), and configure workflows. Budget 4-8 weeks of developer time for initial setup on top of the subscription cost.
Is Kontent.ai worth it compared to other enterprise headless CMS platforms?
Kontent.ai does enterprise content workflows well. The role-based permissions, multi-step approvals, and content scheduling are polished. The API is predictable and well-documented. Where it falls short is flexibility. The content modelling tools are competent but not as powerful as Sanity's, and the lack of a native preview system means your team needs to build and maintain custom preview infrastructure. At similar price points, Contentful offers a larger ecosystem and Sanity offers deeper customisation. We'd recommend Kontent.ai primarily for teams already invested in the Kentico ecosystem or organisations where workflow governance is the top priority over developer experience.
What happens to image URLs when you replace assets in Kontent.ai?
This is a genuine pain point. Every time you replace an image or file in Kontent.ai, the platform generates a completely new URL. That means any hardcoded references, cached versions, or external links to the old asset break instantly. For content teams publishing at scale, this creates a maintenance burden. You need to update every place the old URL was referenced, or accept broken images. Most CMS platforms handle asset replacement by keeping the same URL and invalidating the cache. Kontent.ai's approach feels like an oversight that hasn't been fixed. If you're managing hundreds of assets, this adds real friction to daily editorial work.
What's involved in migrating away from Kontent.ai?
The content extraction itself is clean. Kontent.ai's Delivery API and Management API let you pull content items and assets programmatically. The challenges are schema translation and workflow replication. Kontent.ai's content types map to their own structure, and converting those to another CMS's schema requires careful field-by-field mapping, especially for linked items and modular content. If you've built custom workflow states and approval chains, those need to be recreated in the target platform. Plan for 6-10 weeks depending on the number of content types, locales, and workflow complexity. The API rate limit of 100 requests per second can also slow down bulk exports for large content libraries.
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