Adobe Experience Manager connector
Automate Adobe Experience Manager Workflows and Connect Your Content Stack
Integrate AEM with your marketing, CRM, and data tools to keep content operations moving at enterprise scale.
What can you do with the Adobe Experience Manager connector?
Adobe Experience Manager sits at the center of content and digital asset management for many enterprise teams, but it only pulls its full weight when it's talking to the rest of your stack. Teams integrating AEM usually need to sync assets across channels, trigger downstream workflows when content is published, or push structured data into CRMs, analytics platforms, and campaign tools. Tray.ai lets you build event-driven integrations with AEM without custom middleware or brittle point-to-point scripts.
Automate & integrate Adobe Experience Manager
Automating Adobe Experience Manager business process or integrating Adobe Experience Manager data is made easy with tray.ai
Use case
Automated Digital Asset Distribution
When new assets are uploaded or approved in AEM Assets, automatically distribute them to downstream systems like Salesforce, Marketo, or a CDN. That cuts out the manual work of exporting and re-uploading files across platforms and keeps brand-approved assets consistent everywhere.
Use case
Content Publishing to Multi-Channel Campaigns
When a page or content fragment is published in AEM Sites, automatically trigger campaign actions in tools like Marketo, HubSpot, or Braze. Pass content metadata, landing page URLs, and audience targeting data so campaigns activate the moment content goes live.
Use case
CRM and Personalization Data Sync
Sync customer profile data and behavioral signals from your CRM or CDP into AEM to power personalized content experiences. Keep audience segments, account attributes, and intent data fresh so AEM's targeting engine can deliver the right content to the right visitor.
Use case
Content Approval and Review Workflow Automation
Route newly created AEM content drafts to the right reviewers in Slack, Microsoft Teams, or a project management tool like Jira or Asana. Capture approvals, feedback, and status changes and write them back into AEM so your editorial workflow stays in one system of record.
Use case
DAM Metadata Enrichment with AI
When new assets land in AEM Assets, trigger an AI enrichment workflow that calls vision or tagging APIs to generate keywords, alt text, and content classifications, then writes that metadata back into AEM. Your DAM stays searchable and accessible without anyone doing manual tagging.
Use case
E-Commerce Product Content Syndication
Sync product descriptions, rich media, and marketing copy authored in AEM to your e-commerce platform (Shopify, Commercetools, or SAP Commerce) and keep them updated as content editors make changes. Product pages always reflect the latest approved brand content.
Use case
Content Analytics and Reporting Pipeline
Automatically pull AEM content performance data — page views, asset usage, and engagement metrics — and feed it into BI tools like Looker, Tableau, or a data warehouse. Build dashboards that show content ROI alongside marketing and revenue data without manual exports.
Build Adobe Experience Manager Agents
Give agents secure and governed access to Adobe Experience Manager through Agent Builder and Agent Gateway for MCP.
Data Source
Retrieve Content Fragments
An agent can fetch structured content fragments from AEM to use as context for personalization, translation workflows, or content audits. Downstream actions run against the actual content stored in the repository.
Data Source
Search and Query Assets
An agent can query the AEM Assets repository to find images, videos, documents, and other digital assets by metadata, tags, or full-text search. Useful for surfacing relevant assets during content creation or campaign planning.
Data Source
Fetch Page Metadata and Properties
An agent can read page properties such as title, description, publish status, and template from the AEM Sites hierarchy. This supports auditing, SEO optimization, and workflow routing decisions.
Data Source
List Published and Unpublished Pages
An agent can retrieve the publication status of pages across a site to identify content that's stale, awaiting review, or ready for publishing. This helps coordinate editorial and release workflows.
Data Source
Retrieve Workflow Instances
An agent can pull active or completed workflow instances from AEM to monitor content approval pipelines and spot bottlenecks. This gives visibility into where assets or pages are stalled in review.
Agent Tool
Create and Update Content Pages
An agent can create new pages or update existing page content and properties within AEM Sites. This covers automated content population, bulk updates, and AI-assisted authoring at scale.
Agent Tool
Upload and Tag Digital Assets
An agent can upload new assets to the AEM Assets repository and apply metadata tags automatically. Asset ingestion gets faster and taxonomy stays consistent across the DAM.
Agent Tool
Trigger Content Workflows
An agent can kick off AEM workflows for content review, approval, or translation on specific pages or assets. This automates handoffs between teams and keeps approval processes moving without manual intervention.
Agent Tool
Publish or Unpublish Pages
An agent can activate or deactivate pages in AEM to control their visibility on the published site. This covers scheduled publishing, emergency content takedowns, and automated release management.
Agent Tool
Move and Organize Assets
An agent can move, rename, or reorganize assets and folders within the AEM DAM based on business rules or content governance policies. Useful for keeping the repository structured as content volumes grow.
Agent Tool
Update Asset Metadata
An agent can write or update metadata fields on existing assets, including copyright information, expiration dates, campaign tags, and descriptions. This keeps the DAM accurate and compliant without manual curation.
Agent Tool
Replicate Content Across Environments
An agent can trigger replication of pages or assets from author to publish environments or between regional instances. This automates staged rollouts and keeps content consistent across distributed deployments.
Get started with our Adobe Experience Manager connector today
If you would like to get started with the tray.ai Adobe Experience Manager connector today then speak to one of our team.
Adobe Experience Manager Challenges
What challenges are there when working with Adobe Experience Manager and how will using Tray.ai help?
Challenge
Complex AEM API Authentication and Session Management
AEM uses a mix of OAuth, service user tokens, and Sling API patterns that differ significantly from modern REST APIs. Managing token refresh, CSRF handling, and service user permissions can become a real barrier when building integrations without dedicated middleware.
How Tray.ai Can Help:
Tray.ai's AEM connector handles token management and request signing so developers can focus on workflow logic rather than API plumbing. Pre-built authentication flows support both AEM on-premise and AEM as a Cloud Service configurations.
Challenge
Event-Driven Triggers Across AEM Workflow States
AEM content lifecycle events — drafts, reviews, approvals, publishes — are hard to expose as reliable triggers to external systems. Teams often resort to polling or custom OSGi event listeners, which require ongoing maintenance and Java expertise.
How Tray.ai Can Help:
Tray.ai can listen for AEM replication events, workflow task changes, and asset state transitions, converting them into reliable automation triggers without custom OSGi code. Non-Java teams can build event-driven integrations on top of AEM's internal workflow engine.
Challenge
Keeping AEM Assets Metadata in Sync Across Systems
When asset metadata is updated in AEM — tags, descriptions, rights information — those changes rarely propagate automatically to downstream systems that reference the same assets. The result is stale metadata in DAMs, PIMs, and marketing platforms, along with real compliance exposure.
How Tray.ai Can Help:
Tray.ai detects AEM asset metadata changes and fans out updates to all connected systems in a single automated workflow. Conditional logic ensures only relevant metadata fields are pushed to each downstream tool, preventing unwanted overwrites.
Challenge
Orchestrating Multi-System Content Launch Workflows
A typical enterprise content launch touches AEM for authoring, a CDN for delivery, a CRM for audience targeting, an email platform for activation, and a project management tool for coordination. Manually orchestrating all those steps creates delays and real risk of missed handoffs.
How Tray.ai Can Help:
Tray.ai lets teams model the entire content launch as a single automated workflow, with each system integration as a discrete step. Built-in error handling, branching logic, and retry mechanisms ensure that a failure in one step doesn't silently break downstream actions.
Challenge
Scaling Integrations Between AEM Cloud Service and Legacy On-Premise Tools
Organizations migrating to AEM as a Cloud Service often still need integrations with on-premise tools that don't support modern API patterns. Bridging AEM Cloud's event-driven architecture with legacy systems that expect file-based or SOAP interfaces is a genuinely painful problem.
How Tray.ai Can Help:
Tray.ai acts as a universal integration layer, translating AEM Cloud Service events into formats compatible with legacy systems and vice versa. Support for HTTP, SFTP, SOAP, and custom connectors means no tool gets stranded during AEM cloud migrations.
Talk to our team to learn how to connect Adobe Experience Manager with your stack
Find the tray.ai connector with one of the 700+ other connectors in the tray.ai connector library to integrate your stack.
Integrate Adobe Experience Manager With Your Stack
The Tray.ai connector library can help you integrate Adobe Experience Manager with the rest of your stack. See what Tray.ai can help you integrate Adobe Experience Manager with.
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Start using our pre-built Adobe Experience Manager templates today
Start from scratch or use one of our pre-built Adobe Experience Manager templates to quickly solve your most common use cases.
Adobe Experience Manager Templates
Find pre-built Adobe Experience Manager solutions for common use cases
Template
AEM Asset Approved → Sync to Salesforce CRM
When an asset in AEM Assets moves to an approved state, automatically create or update a corresponding record in Salesforce with the asset URL, metadata, and related campaign tags so sales reps always have access to current brand materials.
Steps:
- Listen for AEM Assets workflow state change event (status moves to Approved)
- Extract asset URL, title, tags, and related metadata from AEM API
- Upsert a Salesforce Content Document or custom asset record with extracted data
Connectors Used: Adobe Experience Manager, Salesforce
Template
AEM Page Published → Trigger Marketo Campaign
Automatically activate a Marketo email or nurture campaign when a targeted landing page is published in AEM Sites, passing the page URL, content fragment data, and audience segment to Marketo to cut out manual campaign setup.
Steps:
- Detect AEM Sites page publish event via AEM replication or webhook
- Extract page path, metadata, and associated audience segment from AEM
- Create or trigger a Marketo program with the page URL and segment data
Connectors Used: Adobe Experience Manager, Marketo
Template
New AEM Asset → AI Tagging → Metadata Writeback
When a new asset is uploaded to AEM Assets, send it to an AI vision API for automated tag and alt text generation, then write the enriched metadata back to the AEM asset record to keep your DAM organized and accessible.
Steps:
- Trigger on new asset creation event in AEM Assets
- Send asset binary or URL to OpenAI vision or a tagging API for classification
- Patch the AEM asset metadata fields with returned tags, description, and alt text
Connectors Used: Adobe Experience Manager, OpenAI
Template
AEM Content Draft Created → Slack Review Notification
When a content editor saves a new draft in AEM, automatically notify the assigned reviewer in Slack with a direct link to the draft, content type, and due date. Capture the reviewer's approval reaction and update the AEM workflow status automatically.
Steps:
- Detect new draft creation or workflow task assignment in AEM
- Send a formatted Slack message to the reviewer channel with draft details and AEM link
- Poll or listen for Slack approval response and update AEM workflow state accordingly
Connectors Used: Adobe Experience Manager, Slack
Template
AEM Product Content Updated → Sync to Shopify
When product-related content pages or fragments are updated in AEM, push the updated copy, images, and SEO metadata to corresponding Shopify product listings to keep your storefront in sync with your content management system.
Steps:
- Listen for AEM content fragment or page update events for product content type
- Map AEM fields (description, images, meta title, meta description) to Shopify product schema
- Update the Shopify product record via API with the refreshed AEM content
Connectors Used: Adobe Experience Manager, Shopify
Template
Scheduled AEM Analytics Export → BigQuery Data Pipeline
On a nightly schedule, pull page performance and asset usage metrics from AEM Analytics or Adobe Analytics and load them into BigQuery so content and marketing teams can analyze performance alongside other business data.
Steps:
- Trigger scheduled workflow nightly via tray.ai time-based trigger
- Query AEM or Adobe Analytics API for page views, asset usage, and engagement metrics
- Transform and load the dataset into the appropriate BigQuery table for BI consumption
Connectors Used: Adobe Experience Manager, Adobe Analytics Live Stream, Google BigQuery