The new task of marketing teams: activating knowledge

Marketing must not only publish knowledge, but make it usable

The growing importance of AI and answer systems expands the role of marketing. Content production remains important, but is no longer sufficient. Marketing is increasingly becoming the connecting function between domain experts, knowledge base, brand, website, search, sales, service, and AI-powered applications.

In the goeke.digital context, refers to Knowledge Activation this operational capability. The term is not used as a standardized industry standard. It describes how existing company knowledge is organized and managed so that it can work reliably in various situations.

Starting point

Many marketing teams still operate according to a logic focused on individual publications.

There are editorial plans, campaigns, landing pages, social media posts, newsletters, and sales materials. For every format, information is searched for, coordinated, formulated, and approved all over again.

This way of working is reaching its limits.

Expert knowledge is distributed across presentations, product sheets, emails, meeting notes, websites, and individual employees' heads. Terms are used inconsistently. Numbers or performance data change. Sources and approvals are not always traceable. Once published, content remains visible even though its basis was later adjusted.

AI systems increase this pressure.

You can summarize, vary, and transfer existing information into new formats faster. However, they also amplify contradictions, outdated statements, and a lack of accountability. A system can only access knowledge that is available, understandable, and permissible.

At the same time, answering systems are changing access to corporate content. Search systems generate summarized answers, link various sources, and no longer necessarily guide users via a traditional results list. Google also emphasizes in 2026 that solid SEO fundamentals still apply and no special AI markup alone ensures visibility. Consequently, the quality of the actual statements becomes more important, rather than the volume of specific optimization tricks.

Marketing is therefore facing a new organizational task: It must not only create content, but also help shape the company's underlying knowledge capability.

What lies behind the problem

Content is often organized separately from knowledge

In many companies, content work begins with a question of format.

A post, a page, a whitepaper, or a campaign is to be created. Only then is it clarified which technical statement is needed and who can confirm it.

This leads to repeated research and alignment. The same questions are answered multiple times. Phrasing varies. A correction does not automatically reach all affected content.

A knowledge-based way of working reverses the order.

First, the statement, meaning, source, responsibility, and validity are clarified. After that, this knowledge can be activated for various formats and channels.

expert knowledge is present, but not operational

A company can have extensive expertise and still appear digitally interchangeable.

The reason is rarely just the quality of the text. Often, a structure is missing that connects expert knowledge with concrete questions, terms, target audiences, evidence, and use cases.

Knowledge can only be activated once it is clarified:

• which statement is binding,
• which situation it applies to,
• who is technically responsible for them,
• which source supports it,
• when it needs to be reviewed,
• what formulation boundaries exist,
• in which channels it may be used.

AI accelerates output more than clarification

Generative AI can quickly generate many variants from an unclear foundation.

This seems efficient at first. In fact, the work shifts. Less time is needed for the first draft. Selection, verification, source control, brand consistency, and updating gain more importance.

Without an organized knowledge base, the volume of production increases faster than reliability.

Strategic Classification

Marketing becomes the translator between knowledge and impact

Marketing holds a special position.

It understands target audiences, questions, decision paths, brand, channels, and impact. Subject matter experts possess the content depth. IT and data managers know systems and access. Legal, data privacy, and compliance assess boundaries.

Knowledge Activation connects these perspectives without replacing them.

Marketing does not take over the professional monopoly on truth. It ensures that expert knowledge:

• findable,
• understandable,
• consistent,
• proven,
• up to date,
• target-group oriented,
• usable across channels

becomes.

The knowledge base becomes a shared object of work

ISO 30401 treats knowledge management as a management system that must be established, maintained, reviewed, and improved. For marketing, this means: knowledge is not a byproduct of individual campaigns.

It requires responsibilities and life cycles.

A reliable knowledge base can take various forms. It does not have to start with a large technical project. Clear structures are what matters first:

• binding terms,
• core statements,
• sources,
• Evidence,
• examples,
• Target audience questions,
• Approval status,
• Rules for currency,
• Relationships between topics,
• permitted uses.

Technical systems can later access this foundation. They do not replace the content-related organization.

Activation is more than reuse

Reuse often means transferring an existing text into a different format.

Activation goes further. It selects the appropriate statement for a specific purpose and context from a verified knowledge base.

A technical performance feature can, for example, be activated in different ways:

• than precise product information,
• as an answer to a customer question,
• as evidence on a specialist page,
• as objection handling in sales,
• as a basis for a service notice,
• as context for an AI-powered assistance system.

The meaning remains consistent. Selection, depth, and format change.

Perspective from practice

In daily content work, the biggest delays often do not occur during writing.

They arise because fundamentals are missing:

• Multiple versions of a statement exist side by side.
• An expert must repeatedly confirm the same information.
• Product data is maintained in various files.
• An older post contains an outdated phrasing.
• Sales and website use different terms.
• An AI application accesses documents without a clear status.

These situations are often treated as a communication problem. In fact, they are a matter of knowledge and responsibility.

Marketing can play a connecting role here because it sees the consequences of ambiguity across many output channels.

For this, however, the team needs a different working model. Instead of just planning publications, it must also make knowledge gaps, updates, sources, and responsibilities visible.

The Knowledge Activation role model

Curator

The curator identifies relevant sources and separates binding statements from drafts, historical documents, or personal notes.

Translator

The translator connects technical terminology with the questions and decision-making situations of the target audiences without distorting the technical meaning.

Knowledge Steward

The knowledge steward pays attention to status, timeliness, accountability, and relationships between statements. This role can reside within marketing or be organized jointly with business departments.

Orchestrator

The orchestrator determines how knowledge enters different channels and systems. This includes handovers, approvals, technical interfaces, and feedback.

Quality manager

The quality manager does not check every statement alone. They ensure that appropriate checks, evidence, and escalation paths are in place within the process.

These roles do not have to be five positions. In smaller teams, they can be assumed by a few people. The crucial point is that the functions are intentionally covered.

Framework of action

1. Start with business-critical knowledge areas

Not every document needs to be structured immediately.

It is sensible to start in areas where incorrect, contradictory, or hard-to-find statements have direct consequences:

• service promises,
• Product data,
• core technical terms,
• prices and conditions,
• legally sensitive statements,
• frequent customer questions,
• differentiating features,
• Evidence and sources.

2. Inventory statements instead of files

A file list shows where information is located. It does not show which statement is binding.

Marketing teams should therefore capture central statements and link them with the following fields:

• Topic,
• Statement,
• Source,
• Owners,
• Approval status,
• scope of validity,
• review date,
• affected channels,
• related statements.

3. Maintain subject matter responsibility

Marketing is allowed to make statements clearer and more usable. The technical responsibility must remain with the designated role.

An approval process should therefore distinguish between editorial, subject-matter, legal, and technical reviews.

4. Define activation paths

For important knowledge areas, it should be clear how a change makes its way into affected systems.

If a core performance claim changes, for example, the website, sales materials, FAQs, campaigns, and AI knowledge base must be reviewed.

5. Using feedback as a knowledge signal

Search queries, service questions, sales resistance, internal inquiries, and AI errors show where knowledge is missing or unclear.

These signals should not just be translated into individual content ideas. They belong in the maintenance of the knowledge base.

6. Measure impact differently

In addition to reach and conversion, new metrics are becoming relevant:

• time until technical approval,
• Share of reusable verified statements,
• Number of contradictory core statements,
• Recency rate of critical content,
• recurring knowledge gaps,
• Correction loops,
• Use by multiple channels and teams.

These values are not a universally applicable scorecard. They help steer your own knowledge capability.

What companies should not do

Companies should not confuse Knowledge Activation with purchasing a platform.

A new content, digital asset, or AI system can improve access. Without clear statements, status, and responsibility, it simply becomes another archive.

It would be equally wrong to make marketing the sole knowledge authority. Specialized departments, product managers, legal, data privacy, and IT retain their responsibilities.

Marketing should also not maximize the standardization of every statement. Good communication requires context and linguistic adaptation. Consistency means the same meaning, not identical sentences in every channel.

Finally, AI must not be used as a shortcut to bypass professional clarification. Automatically generated variants are only valuable if the foundation is reliable and the result is adequately reviewed.

Consequences for companies

The role of marketing teams is expanding.

Content remains a visible result. The actual performance increasingly lies beneath it:

• Find knowledge,
• Clarify statements,
• Connect sources,
• Organizing responsibility,
• manage topicality,
• enable various outputs,
• feed feedback back into the knowledge base.

This capability not only improves AI usage. It strengthens websites, search, sales, service, onboarding, and internal collaboration.

Marketing thus does not become the IT department or the corporate archive. It becomes the activation function for verifiable knowledge.

Subject-matter connection

Transforming expertise into a usable communication and knowledge system

Knowledge Activation and content strategy connect expert sources, core messages, responsibilities, target audience questions, and output channels. This approach makes sense for companies whose expertise exists, but remains distributed across documents, individuals, and systems, or has to be clarified anew with every content production.

Make corporate knowledge active for communication, search, and AI

Author

About Göke Frerichs

Göke Frerichs has been combining digital strategy, communication, technology, and implementation since 1999. As a digital strategist and Smart Digital Creative, he supports owner-managed B2B companies in developing clear and reliable digital systems from individual measures. His perspective is based on many years of consulting and implementation experience in the DACH region and North America.

More about Göke Frerichs