Jahia AI supports your teams at every stage: migration, content creation, translation, SEO/GEO, compliance, personalization, and bulk updates - with approvals, access controls, and audit trails.
Faster on content operations with AI agents
LLM providers supported
Human oversight maintained on every AI action
migration costs to switch from any CMS to Jahia
From multisite management to bulk content updates, AI agents handle inside Jahia what your teams used to do by hand. Every operation goes through your approval workflows. AI runs the work. Your teams call the shots.
From public URL to deployed site, our agents rebuild your components and migrate your content to Jahia in days - no access to your source code needed. SEO metadata, site structure, and structured data are preserved throughout.
An assistant built into your site, trained on your exact content, that answers visitors right away - no friction, no drop-off.
Six use cases. Real results.
From brand guidelines to published pages, Jahia AI generates content that matches your standards, in every language, across every site.
Jahia AI structures your content for Google and AI engines like ChatGPT, Perplexity, and Gemini. Your pages are easier to rank, easier to understand, and easier to cite, from classic search to generative answers.
Jahia AI flags at-risk content before it goes live: compliance, accessibility, brand consistency. Your teams publish with fewer review cycles.
Jahia AI scans your content in plain language to surface stale pages, missing metadata, and multilingual inconsistencies across all your sites. Tasks that used to take weeks, done in minutes.
Jahia AI turns your tagged content into personalized journeys. Every visitor sees the most relevant content for their profile - improving their experience and your conversions.
One change to roll out across 2,000 pages? Jahia AI identifies the affected content, drafts the updates, and sends them through your approval workflow.
With Jahia, no model is locked in. You connect the LLMs, API keys, and infrastructure that fit your needs, then assign each task to the right model - cost-efficient models for volume, premium models for strategic content, private models for sensitive data.
ChatGPT, Claude, Gemini, Mistral, DeepSeek, Azure OpenAI, OVH Cloud, or self-hosted. One connector. No architectural changes when you switch.
Run Jahia and your LLM on your own infrastructure. Your content never leaves your environment.
Self-hosted or region-specific deployment for organizations with strict data residency requirements: healthcare, financial services, defense, government. Compatible with air-gapped environments.
High-volume content production
Long-form content, reasoning, MCP
Multimodal, Google Workspace
EU data sovereignty, GDPR
High volume, cost efficiency
Existing Azure infrastructure
European sovereign hosting
Your infrastructure
Jahia's MCP server connects your CMS to any compatible AI agent to create pages, update metadata, audit your content library, and trigger workflows, all in plain language.
Approvals, access controls, and audit trails apply to every operation, just as they do for a human editor.
Jahia AI is the set of AI capabilities built natively into Jahia, an enterprise CMS and DXP platform. Unlike AI tools that generate content in a separate interface, Jahia AI works directly inside CMS editorial workflows: content creation, translation, SEO/GEO optimization, compliance checking, taxonomy classification, bulk updates, and site migration. Every AI action triggers the same approval workflows, respects the same access controls, and generates the same activity logs as actions taken by a human editor.
AI in Jahia activates from inside the CKEditor 5 editor, triggers the workflow steps already configured in Jahia, respects existing user permissions, and logs every operation in the activity journal. AI-generated content follows the exact same approval path as content written by a team member - including sign-off steps, notifications, and compliance checks.
No, by default. Every AI operation in Jahia triggers the validation workflows set up for that content type. If your workflows require human sign-off before publishing, AI cannot skip that step. Some low-risk operations like updating a meta description, for example, can be configured to run automatically. Others like publishing a product page, regulated content, require explicit human approval. Your team controls that configuration, not Jahia.
Yes. Every AI action is recorded in Jahia's activity logs with three pieces of information: the user or agent that triggered the operation, the exact timestamp, and the operation type (generation, translation, bulk update, audit, etc.). This covers both individual actions in the editor and bulk operations run by agents - visible in the same activity log as human actions.
Jahia AI supports 8 LLM models: ChatGPT (OpenAI), Claude (Anthropic), Gemini (Google), Mistral (Mistral AI, EU-hosted), DeepSeek, Azure OpenAI (Microsoft), OVH Cloud AI, and self-hosted models. Connection is handled through a single GenAI connector - bring your API key and pick the right model for each type of task. You can route work to different models based on cost and quality: cost-efficient models for bulk operations, premium models for strategic content.
Yes. Any model running on your own infrastructure - LLaMA, Mistral, or any open-source model with an OpenAI-compatible API - connects to Jahia through the GenAI connector. In that setup, no data leaves your environment. This is the recommended configuration for organizations with the strictest data residency requirements: regulated industries, government agencies, defense, financial services.
Yes, two ways. First, on-premise deployment: Jahia and your LLM run entirely on your own infrastructure - nothing leaves your perimeter. Second, for organizations in regulated environments, Jahia supports regional cloud deployments with strict data residency guarantees, including air-gapped environments. These configurations are available for healthcare, financial services, defense, and government.
MCP (Model Context Protocol) is an open standard developed by Anthropic that lets external AI agents connect to third-party tools and interact with them in plain language. Jahia exposes an MCP server that makes the full platform accessible to any compatible agent: Claude, Cursor, GitHub Copilot, or custom business agents. Through the MCP server, an agent can create pages, update metadata, trigger workflows, audit a content library, or kick off a migration - all in plain language. All Jahia governance rules (approvals, access controls, audit trails) apply to every agent operation, just as they do for a human editor.
GEO is the practice of making web content citable by AI answer engines - ChatGPT, Perplexity, Gemini, Bing Copilot. These engines build their answers from structured sources: definition blocks, named entities, factual lists, long-form FAQs, and Schema.org structured data. Jahia AI automatically generates these structures inside the CMS when content is created or updated: SEO tags, Schema.org markup (FAQPage, Article, BreadcrumbList), named entities, and definition blocks. Your content gets optimized for both Google and AI engines in a single editorial workflow, with no extra steps.
Jahia AI works on two SEO fronts. First, volume: by automating the generation of optimized content, meta descriptions, alt text, and Schema.org structured data, Jahia AI lets you produce more indexable pages in less time - expanding your coverage on Google. Second, technical quality: automated audits surface pages with missing meta descriptions, inconsistencies across language versions, and outdated content, catching issues before they affect your rankings.
Jahia's AI migration runs in three steps. Analysis: our agents crawl your existing site from its public URL - no access to your source code or database needed. Reconstruction: specialized agents rebuild your component library in Jahia, running in parallel. Migration: content, SEO metadata, site structure, and structured data are moved to Jahia. The full process takes a few days for a standard site, compared to several months with a traditional migration approach.
Adobe Experience Manager bundles Firefly, Adobe's proprietary AI model. Sitecore has rebranded its entire platform as SitecoreAI, with its own proprietary model. Acquia offers Acquia AI, also proprietary. In all three cases, you have no choice of model, no choice of infrastructure, and you depend on their roadmap. Jahia works differently: choose from 8 supported LLM models, deploy on your own infrastructure if needed, and switch by updating an API key - no contract renegotiation required. Jahia is also the only enterprise CMS in this category to expose a native MCP server, letting external AI agents control the CMS in plain language.
Writer, Jasper, and ChatGPT are standalone content tools: a writer works in the tool, copies the output, and pastes it into their CMS. The content enters production without going through validation workflows, brand controls, or the platform's access permissions. With Jahia AI, the AI works inside the CMS. Every piece of generated content is immediately subject to existing approval workflows, compliance checks, and brand controls. The difference is architectural not just a matter of features.
AI agents handle the tasks that content teams repeat at scale: bulk updates, SEO audits, multilingual translation, metadata generation, taxonomy tagging, and compliance checks. Teams that previously spent several weeks on campaign prep (variant creation, translation, SEO review) complete these operations in days. The editorial decisions, what to publish, what to approve, stay with the team. Execution is handled by agents.
The GenAI connector - which manages LLM connections - can be configured in a few hours by a technical team: model selection, API key, brand and style guardrail settings. AI validation workflows use Jahia's existing workflow infrastructure - no rebuild needed if workflows are already in place. The MCP server is an add-on module, deployable in minutes.