--- title: "Context Engineering: Why Marketers (Not IT) Must Own the AI Data Layer" description: Stop leaving AI readiness to IT. Learn why marketers must own Context Engineering — the schema, taxonomy, and content models that turn brochureware into agentware. image: https://alinedx.com.au/hubfs/Illustrations/Content%20with%20context%20-%20worried%20person%20v2%20-%20Aline%20DX%20June%202026.jpg --- [Skip to main content](https://alinedx.com.au/blog/context-engineering-belongs-to-marketers-not-it#main) [![ALINE DX](https://alinedx.com.au/hubfs/ALINE%20DX%20horizontal.svg) ![ALINE DX](https://alinedx.com.au/hubfs/ALINE%20DX%20horizontal.svg) ![ALINE DX horizontal](https://alinedx.com.au/hubfs/ALINE%20DX%20horizontal.svg) ![ALINE DX horizontal](https://alinedx.com.au/hubfs/ALINE%20DX%20horizontal.svg)](https://alinedx.com.au) - [About](https://alinedx.com.au/about) - [Show submenu for Advisory & Consulting Advisory & Consulting](https://alinedx.com.au/advisory-consulting-clarity-frameworks-aline-dx) - [Sitecore Optimisation & Measurement Workshop](https://alinedx.com.au/sitecore-optimisation-measurement-workshop) - [Register your interest: Content with Context Program](https://alinedx.com.au/content-with-context-registration) - [4Ps of DX](https://alinedx.com.au/4ps-of-dx) - [Views & Voice](https://alinedx.com.au/views-and-voice) Open main navigation Close main navigation - [About](https://alinedx.com.au/about) - Show submenu for Advisory & Consulting Advisory & Consulting - Advisory & Consulting - [Advisory & Consulting](https://alinedx.com.au/advisory-consulting-clarity-frameworks-aline-dx) - [Sitecore Optimisation & Measurement Workshop](https://alinedx.com.au/sitecore-optimisation-measurement-workshop) - [Register your interest: Content with Context Program](https://alinedx.com.au/content-with-context-registration) - [4Ps of DX](https://alinedx.com.au/4ps-of-dx) - [Views & Voice](https://alinedx.com.au/views-and-voice) - [Content with Context](https://alinedx.com.au/content-with-context-prereg) [Content with Context](https://alinedx.com.au/content-with-context-prereg) # Context Engineering: Why Marketers (Not IT) Must Own the AI Data Layer ![Alison Sainsbury](https://alinedx.com.au/hs-fs/hubfs/AlisonSainsbury-GEORGE%20FETTING-001a-2-1.jpg?width=120&height=120&name=AlisonSainsbury-GEORGE%20FETTING-001a-2-1.jpg) by [Alison Sainsbury](https://alinedx.com.au/blog/author/alison-sainsbury) 6 May 2026 Schema, taxonomies, content models: these decisions are about how your business describes itself. That’s not a technical problem. It’s a business problem.  ![Illustration of a professional at a laptop, surrounded by floating labels - schema, taxonomy, context engineering, AI readiness, zero click, JSON-LD - looking thoughtful and under pressure.](https://alinedx.com.au/hs-fs/hubfs/Illustrations/Content%20with%20context%20-%20worried%20person%20v2%20-%20Aline%20DX%20June%202026.jpg?width=300&height=297&name=Content%20with%20context%20-%20worried%20person%20v2%20-%20Aline%20DX%20June%202026.jpg)Let me describe something that is playing out in many brands right now. The leadership team decides that AI readiness is a priority. Someone mentions schema, taxonomies, and context engineering. Everyone nods. It goes on the roadmap. The IT team is asked to handle it. Three months later, something has been done, technically. But you’re still not showing up in AI-generated answers. A competitor just got cited in an industry report and you weren’t mentioned once. Search still isn’t working the way it should. You don’t have the language to ask the right questions. And you’re running out of time to figure it out. Here’s the problem: context engineering wasn’t designed by the wrong system. It was designed by the wrong people. Want to skip the what and go straight to the how? **Content with Context: The Practical Content Structure and AI Readiness Program for Digital and Marketing Professionals** is a practical, cohort-based live program commencing early August 2026. Now open for enrolment - the first module is free and available now. [Learn more →](https://alinedx.com.au/content-with-context-registration) ## What actually is context engineering? The [term](https://medium.com/@meghanaharishankara/context-engineering-the-future-of-ai-systems-a52062c727f0#:~:text=Context%20Engineering%20represents%20the%20future,to%20complex%20real%2Dworld%20scenarios.) is [everywhere](https://www.gartner.com/en/articles/context-engineering) in [martech](https://martech.org/context-engineering-is-the-real-ai-advantage-in-marketing/) [circles](https://martechpod.com/episode/scott-brinkers-2026-martech-predictions-unpacked/the-year-of-context-engineering/) right now. But it’s rarely explained in operational terms. Context engineering is the practice of structuring your content so that machines like search engines, CMS platforms, AI tools, onsite search, and recommendation engines can understand what your content is about, who it’s for, and when it should surface. [![Aline DX - Context Engineering diagram - May 2026](https://alinedx.com.au/hubfs/Aline%20DX%20-%20Context%20Engineering%20diagram%20-%20May%202026.svg)](https://alinedx.com.au/hubfs/Aline%20DX%20-%20Context%20Engineering%20diagram%20-%20May%202026.svg) The components of Context Engineering include taxonomy design, content models, schema markup, and metadata standards and - *very* importantly - governance. These are not IT problems. They are business decisions with a technical implementation layer. ###### **Alison's Note: A quick word on terms** You'll hear a lot of acronyms in this space. Here's what they actually mean. **SEO (Search Engine Optimisation)** is the practice of making your content visible in traditional search engines like Google. It's been around for decades and most digital teams have some version of it in place. **AEO (Answer Engine Optimisation)** is the practice of structuring your content so that AI-powered answer engines — ChatGPT, Claude, Perplexity, Google AI Overviews — can find, understand, and cite it accurately. The goal isn't just to rank. It's to be the answer. **GEO (Generative Engine Optimisation)** takes this further. It's about ensuring your content appears in AI-generated responses, summaries, and recommendations — not just when someone searches directly, but when an AI is synthesising information on a topic and deciding whose voice to include. All three matter. And here's the thing: the content structure work that enables AEO and GEO is the same work that makes SEO more effective. You're not choosing between them. You're building the foundation that makes all of them work. ## Why does Marketing need to own the content data layer? > “Taxonomy is the shared vocabulary of your organisation. It determines how your systems understand what your content is about. If that language is inconsistent, every system downstream behaves inconsistently.” Taxonomy encodes how you categorise your products and services, how you segment your audiences, and what you mean by “topic”, “format”, “region”, and “audience”. IT can build a taxonomy field in a CMS. They cannot decide what the terms should be, or why the distinctions matter. And taxonomy goes well beyond content models. For it to work, the same controlled vocabulary needs to run consistently across your entire martech stack: your analytics platform, your DAM, your CRM, your campaign tagging, your email segmentation should all be using identical terms. - When every system is using the same terms, your recommendation engine can surface the right content, your workflow automation can trigger on the right signals, and your personalisation logic can act on context you designed rather than context it has to infer. - When the vocabulary is inconsistent, those systems start filling in the gaps themselves. They make assumptions. They hallucinate context. Each automated decision pulls a little further from the intent you started with. A well-governed taxonomy keeps pulling the machine back to the context you built – consistently, across every touchpoint. Content models work the same way. When your team designs a content model, you’re making structural decisions at the template and page type level – deciding what fields and attributes apply to every article, every market insight, every regulatory update as a class of content. Those decisions shape what your platform can personalise, filter, recommend, and surface. A developer can implement that structure. A marketer must design and govern it. ### When these decisions default entirely to IT, three things tend to happen The taxonomy reflects system logic, not business logic IT teams build taxonomies based on what the platform requires, not how the business actually describes its content. You end up with categories that make sense to a developer but confuse everyone else, and that often don’t match the language your customers or search engines use. Schema gets treated as a "compliance task" When schema markup is a technical checklist, the result is schema that satisfies a validator but adds no real context. A page might have a perfectly valid Organisation schema applied, but with none of the product-specific, audience-specific, or content-type signals that would actually help an AI answer a customer’s question. Nobody owns governance when the build is done Taxonomy and schema are not set-and-forget. They need to evolve with your content strategy, your product set, and your audiences. IT teams move on to the next project. Without a business owner who understands why the structure exists, it drifts. Tags get added informally. Legacy terms accumulate. The shared language stops being shared. ### There is a method for doing this well The good news is that this is learnable and executable work. It doesn’t require a data scientist or a six-figure platform investment. It requires the right people making the right decisions in the right order, and then working closely with IT to implement them. That means: - Starting with your taxonomy before you touch a platform - Agreeing on a canonical vocabulary that every system in your martech stack can consume - Translating that vocabulary into schema properties that search engines and AI tools can read - And designing measurement and governance so the structure holds over time, not just at go-live. 👉 The business side designs the context engineering model. 👉 IT builds the infrastructure that carries it. ☑️ Both are essential. Neither works without the other. The Content with Context Program ### Ready to build the structure your content deserves? A practical, live,  cohort-based program for digital, content, and marketing professionals. Seven modules. Fortnightly sessions. August to October 2026. Free intro module available now. [Learn more & access the free module →](https://alinedx.com.au/content-with-context-registration) 25 Places Only 7 Modules Aug 26 First Cohort   **Tags:** [Article,](https://alinedx.com.au/blog/tag/article) [Artificial Intelligence,](https://alinedx.com.au/blog/tag/artificial-intelligence) [Processes,](https://alinedx.com.au/blog/tag/processes) [Clarity,](https://alinedx.com.au/blog/tag/clarity) [Content Structure](https://alinedx.com.au/blog/tag/content-structure) ### Related Articles ##### [![The benefits of schema markup, and why most sites miss out](https://alinedx.com.au/hs-fs/hubfs/benefits-of-schema-markup-hero.png?width=520&height=294&name=benefits-of-schema-markup-hero.png) Article • 23 September 2026 The benefits of schema markup, and why most sites miss out 9 min read](https://alinedx.com.au/blog/the-benefits-of-schema-markup) ##### [![The smart way to plan your SitecoreAI migration](https://alinedx.com.au/hs-fs/hubfs/Illustrations/featured-image-sitecoreai-migration.png?width=520&height=294&name=featured-image-sitecoreai-migration.png) Article • 1 July 2026 The smart way to plan your SitecoreAI migration 14 min read](https://alinedx.com.au/blog/the-smart-way-to-plan-your-sitecoreai-migration) - [About Aline DX](https://alinedx.com.au/about) - [Advisory & Consulting](https://alinedx.com.au/advisory-consulting-clarity-frameworks-aline-dx) - [4Ps of DX](https://alinedx.com.au/4ps-of-dx) - [Views & Voice](https://alinedx.com.au/views-and-voice) ©2026 Aline DX Pty Limited. 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