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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

  1. 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.

  2. 02

    Rendering assessment and extraction

    Then we work out how Payload renders its pages and pull the content out, even without CMS access.

  3. 03

    AI-assisted sanitization

    Everything extracted runs through our sanitization pipeline, which flags slop, normalizes structure, and leaves us clean content to work with.

  4. 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.

  5. 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.

  6. 06

    Execute the real migration

    Once the dry run is clean, everything moves into Kontent.ai in one controlled cutover.

  7. 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.

  8. 08

    Agentic-browser QA

    Finally, automated browsers sweep the new site for data issues, design regressions, and missing SEO signals.

  9. 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.

Help me migrate


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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

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

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

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

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.

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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.

Start my migration


Intuitive content management

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

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

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

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

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

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

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.


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