Knowledge Catalog & Data Structuring — turn scattered knowledge into a growth engine.

Your website still matters — but it is increasingly one visible spoke in a wider knowledge system. A knowledge catalog turns company data, expert know-how, customer conversations and processes into a structured foundation so Google, AI Overviews, ChatGPT Search and Perplexity can understand your business more consistently.

Knowledge Audit & Signal Gap Analysis

BAFA — up to 80% eligible for funding

We review the knowledge your company already has and identify where it is not yet visible or clear enough online. The Signal Gap Analysis compares what customers ask, what your business can answer and what Google or AI systems can currently discover about you.

  • Audit of internal sources such as FAQs, call notes, SOPs, proposals, campaigns and customer questions
  • Comparison of real customer questions, internal expertise and public digital signals
  • Prioritization of the most important knowledge gaps for visibility, trust and conversion
  • Strategic foundation for SEO, GEO and AEO

Semantic Structure & Data Sovereignty

We translate your institutional knowledge into a clear structure of topics, entities, services, locations, proof points and relationships. This creates a knowledge catalog that strengthens the website, supports internal alignment and makes your expertise harder to copy.

  • Taxonomy for services, audiences, locations, proof points and specialist terms
  • Structured preparation for Google AI Mode, AI Overviews and agentic search
  • Clear recommendations for website content, landing pages, FAQ sections and structured data
  • Focus on controlled company knowledge instead of scattered information across tools and individuals

Implementation & Later Automation

Technical implementation — such as schema markup, structured website sections and GEO-ready content architecture — is handled through our web design services. Automated ingestion pipelines for recurring sources such as call notes, documents or campaign data become a useful later-stage option once the knowledge structure is reliable.

Technical implementation through SEO-/GEO-Optimized Web Design. · Complementary to AI Search Optimization.

Frequently asked questions

No. An archive stores information. A knowledge catalog organizes business knowledge so people, search engines and AI systems can better understand relationships, services, proof points and expertise.

We compare what customers actually ask, what your company knows and what is currently visible online. The gap shows which content, data and structures are missing.

Ads, layouts and generic website copy can be copied quickly. Years of customer conversations, processes, case experience and specialist answers are much harder to replicate.

Only after the important knowledge sources and structure are clear. Then recurring sources such as call notes, documents or campaign data can be connected step by step.

The knowledge catalog creates the data and knowledge structure. AI search optimization uses that foundation to prepare answers, website content and signals for ChatGPT, Perplexity, Google AI Overviews and similar systems.

Where do you stand today?

We review your current visibility and show you which steps will make the greatest difference.

Funding eligibility is subject to case-by-case review by BAFA.