
Teladoc - Resource Center
Teladoc's Unified Resource Library powered by Total Content

Building a content hub on AEM from scratch is a significant undertaking. Filtering, search, detail pages and support for mixed content types typically take 3 to 6 months to build correctly, and most teams end up doing it more than once.
The complexity grows when content lives across DAM assets, Content Fragments and site pages. Getting all three to behave as a single unified experience is one of the hardest problems in AEM and it rarely gets solved on the first attempt.
And once a hub is live, most of them are passive. Visitors consume content and leave no trace, because gating and progressive profiling require yet another build effort. On top of all that, content that was never structured or consistently tagged is the first thing that blocks an AI initiative.
TotalContent is a production-ready framework that addresses all of this without starting from scratch.
Advanced filtering, multi-level search and mixed content types require months of custom AEM development with no guarantee of a clean result
Content fragmented across DAM assets, Content Fragments and site pages creates inconsistent experiences that are difficult to maintain and nearly impossible to scale
High-value content sits ungated or behind a clunky form, turning traffic into anonymous downloads instead of qualified leads
AI and GenAI initiatives stall when content lacks the structured taxonomy and consistent tagging that LLMs need to read and surface it accurately
Content authors spend more time working around the platform than publishing, because components built for developers were never designed for marketing teams
It solves the unification problem that slows down most AEM projects. DAM assets, Content Fragments and site pages are brought together into a single searchable, filterable experience across any content type, without custom plumbing for each one.
Smart gating and progressive profiling, integrated with Marketo or Auth0, convert anonymous visitors into known leads over time without asking for everything upfront. Content that used to generate downloads now generates pipeline.
The same structured taxonomy that makes TotalContent's discovery work is exactly what AI models and LLMs need to surface your content accurately. AI readiness is not a separate project. It is built into the framework from day one.
It ships with 10 or more production-ready components and intuitive authoring controls, and has been deployed at Teladoc Health, Okta, ServiceNow and more.
Reduction in implementation time and cost
Improvement in author productivity
Higher content engagement
Improvement in lead conversion rates
Every feature in TotalContent is built around one idea: your content should work harder. The framework handles the complexity of unifying multiple content sources, keeping your taxonomy clean, converting visitors into leads, and staying ready for whatever AI initiatives come next. All of it is production-ready and configurable without requiring a developer for every change.
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TotalContent is deployed at Teladoc Health, Okta, ServiceNow and more. Here is what it looks like in production.