Turn business signals into content that moves your strategic priorities.
Structural ContentTM reads your company goals and live systems, finds where content can advance business outcomes, and delivers these opportunities to your team as actionable tickets – with first drafts already prepared.
Built by Sebastian Messerer, formerly Senior Content Strategist at Amazon, where he built and scaled an AI-driven content and communications system across 13 countries.
Try it yourself
See how a business priority becomes a content ticket.
Enter what is important to your company today. See how content could help.
- Reading your priorityThe installed system reads these from your planning documents, goal systems, and other company context.
- Deriving the metrics under pressureThe required change, target state, and deadline.
- Identifying owner teamsFrom CRM data, project boards, and org context.
- Detecting work already in motionAcross Slack, Asana, support queues, and product usage.
- Generating content ticketsEach tied to the priority, metric, team, and deadline.
- Drafting a first version of each pieceA context-rich v1 the content team edits – or hands off to your preferred AI generation tools.
- Routing them to the content teamOrganized for review, refinement, and action.
What the demo does once, the installed system does continuously across priorities.
Interested in exploring what Structural Content could do for you specifically?
Or email sebastian@structuralcontent.com
Overview
Put content to work across the whole business.
Most content teams work from requests, campaign calendars, and briefs. That can leave valuable business signals untouched – even when content could help solve the problem.
Structural Content helps marketing and content teams decide what content to create to support their business goals – across the entire company. It analyzes company documentation and connected systems, such as CRMs, project-management tools, support queues, and product data, to find where content can solve real operational needs.
It then turns those opportunities into actionable tickets for the content team, with the business context and a first draft already prepared. Instead of adding more requests to the backlog, Structural Content helps teams focus their effort on content that can support a specific strategic priority. That lets content teams support the business wherever they are needed, beyond just lead generation and direct product marketing.
How it works
From business signal to actionable content ticket.
Understand the business priority
Structural Content reads strategic priorities from planning documents, goal systems, and other company context.
Analyze the signals around it
It analyzes connected systems – including CRM, project-management, support, product, and communication tools – to find where customers, prospects, or internal teams have real operational needs that content can solve.
Identify high-impact content opportunities
It determines where content can solve a real operational need and move the priority: for example, by supporting retention, adoption, onboarding, sales, support, or hiring.
Prepare the work for the content team
Each opportunity becomes an actionable ticket, tied to its business context and delivered with a first draft already prepared.
Examples
Content opportunities hiding in your business data.
The opportunities Structural Content finds depend on your company’s priorities and operating context. Here are two examples:
Recover revenue when customers misunderstand your product.
Structural Content can detect in CRM data that customers left because they believed a feature was missing. When that feature becomes available, it can create a ticket for the outreach and content needed to bring those customers back – helping support retention and recover ARR.
Reduce support demand by improving onboarding content.
It can spot a cluster of support tickets around a recurring onboarding issue, then create a ticket to improve the relevant help, education, or in-product content – helping customers succeed sooner, reduce avoidable support demand, and protect NRR.
Why it differs
It helps you decide what content to create.
Most AI content tools help teams create content faster once someone has decided what to make. Structural Content helps teams make that decision in the first place.
It connects business priorities with the signals in your company’s documentation and systems, then identifies content opportunities that are specific to the work the business needs to do now. Because every ticket arrives with clear context, the content team can review and improve a strong first draft instead of starting from a blank page.
The unit of value is not a single generation use case, but a standing system that keeps finding the right content, structuring it into review-ready tickets, and preparing first drafts as the business keeps moving.
Who it fits
For B2B teams that need content to support the business.
Structural Content is often a strong fit for B2B software companies around series A–B – roughly 50–200 people – especially SaaS, with a standing content team, written priorities, and at least one nameable metric under pressure. It works best when relevant teams already operate in reachable systems such as CRM, Slack, Asana, or Jira. It still works when priorities live in messy docs, slides, or spreadsheets rather than a tidy OKR tool. If your team is mainly reacting to requests while trying to prove business impact, this is the setting it is designed for.
About
Built by Sebastian Messerer
Founded by Sebastian Messerer, a Berlin-based content strategist with 10+ years across content, video, and marketing strategy. Sebastian’s work spans global brands including Amazon, Adobe, Allianz, and Corning, combining a strong storytelling foundation with strategic systems thinking and hands-on execution for business growth.
Sebastian has led international content strategy, product and feature campaigns, measurement frameworks, multi-million-euro video budgets, and award-recognized creative work. Most recently, in senior content strategy roles at Amazon, he led B2B content strategy across Germany, the UK, and Ireland, was entrusted with Amazon Logistics’ international Delivery Partner channel strategy, and built AI-driven planning systems that scaled impact-led content operations across 13 markets.
Next step
Book a demo.
Do you lead content or own strategic priorities in your company? Let’s determine whether Structural Content is a fit for your setting, which strategic priorities it could support, and whether there is promise worth validating.
Or email sebastian@structuralcontent.com
For more depth, read the Structural Content essay.
FAQ
Frequently asked questions
How does Structural Content get installed in my company?
Structural Content is installed as a single-tenant system for your company. It reads where your goals live and connects to the systems of the teams owning the priority being worked, such as CRM, support, product usage, Slack, or project management tools.
The first step is not a full installation. It is a demo call, followed – if the fit is real – by a bounded scan on a slice of live company data.
What exactly does the system produce?
Structural Content identifies high-impact content opportunities and turns them into review-ready, actionable tickets with first drafts already prepared.
Every ticket is tied back to a strategic priority and carries its lineage: the metric under pressure, the work it supports, and the metadata your content team requires.
Does Structural Content also generate the content?
Yes. It first helps determine what content is worth creating, then prepares a context-rich first draft for the team to edit, approve, or hand off to preferred production workflows.
Does this create more work for my content team?
No. Structural Content tickets are designed to replace vague content requests with clearer, higher-value work tied to real business priorities. They do not add another layer of requests; they improve the quality of what enters the backlog.
Because each ticket is highly context-rich, AI can generate more reliable first drafts, reducing workload for the content team. Every ticket arrives with a first draft already prepared.
Can’t we just do this with Claude, or build it ourselves?
A general AI model can help with one-off content planning. Structural Content is designed to continuously identify company-specific content opportunities from your priorities, documentation, and connected systems – and turn them into actionable work for the content team.
So the real build-vs-buy question is not whether you can access a model. It is whether you can build and maintain a high-quality system around it, and encode enough specialized content strategy expertise into that system for the outputs to be genuinely valuable. Without that, most teams end up with generic outputs rather than the specific, high-leverage content work that actually moves a strategic priority.
Is this mainly for marketing content?
No. Structural Content is built for marketing and content teams, but it can identify opportunities wherever content can support a business priority – from acquisition and retention to onboarding, adoption, support, enablement, and hiring.
It treats content as any communication that helps move an audience from a current state to a required end-state in service of a job, a metric, and a strategic priority.
How do I know my data is secure?
Structural Content runs as a dedicated instance for your company, under an Article 28 data processing agreement that commits processing to the EU/EEA and names the hosting provider, the regions, the sub-processors, and the retention and deletion terms. It reads your systems through scoped, revocable credentials; personal identifiers are filtered at the source, and analysis stays at team level. The system retains only the lean data needed for the agreed workflow. Book a demo to learn more.
The demo on this page runs outside that setup: what you enter is processed by Cloudflare and Anthropic, and stored only if you tick the consent box. Details are in our privacy notice.
How do I know whether this is worth exploring for my company?
Structural Content is worth exploring when at least one strategic priority is clear, a metric under pressure can be named, the owning teams work in digitally reachable systems, and someone in-house owns the content queue.
It tends to be strongest where useful signals are visible across several functions, but content still reaches the business mostly through campaign planning and ad hoc requests.
What is the next step after the demo?
The next step is a demo call to test whether the system would be useful in your setting and whether a deeper scan is warranted.
If the fit is real, the next stage is a bounded scan and readout: what the system found in your own data, the content opportunities it would ticket, and the most attractive pilot rung to start with.