Knowledge Graph Optimization
Build a digital identity that AIs understand

In a world where AIs not only search, but think and provide answers, it becomes essential that your brand is not only findable, but understood. That’s what Knowledge Graph Optimization is all about.

At Geo Limo we help companies model their digital presence within the knowledge structures used by AI systems – so that your brand is recognized, cited and trusted by ChatGPT and other generative search engines.

What is Knowledge Graph?

A Knowledge Graph is a network of semantically connected entities such as companies, people, products, locations and concepts. Major tech companies such as Google, Microsoft, Amazon and OpenAI use these graphs to understand relationships between things.

Examples of Knowledge Graphs:

  • Google Knowledge Graph
  • Wikidata /DBpedia
  • LinkedIn Graph / Crunchbase Graph
  • OpenKG, YAGO, Schema.org extensions

AI models use these graphs to attach context and meaning to content. If your brand is not an entity within these structures, chances are you will remain invisible to generative search engines.

Why is Knowledge Grapg Optimization crucial for GEO?

Generative Engine Optimization (GEO) is not about keywords, but about entities and semantic relationships. AIs answer questions such as:

  • “What is the best B2B marketing agency in the Netherlands?”
  • “Who is an expert in AI content optimization?”
  • “What tools help with structured data implementation?”

Without Knowledge Graph anchoring, your brand is an empty label. With the right optimization:

  • Get recognized as a real player
  • Get a digital identity that AIs trust
  • Are you associated with areas of expertise
  • Increase your chances of being mentioned in AI answers

How does Knowledge Graph Optimization work?

At Geo Limo we take a 6-step approach that positions your brand within the semantic networks that AIs use:

01

Identify and structure entities

We map all relevant entities:

  • Company, product name, team members

  • Services, tools, methods

  • Locations, markets, audiences

This forms the basis for your Knowledge Graph profile.

02

Public knowledge graphs enrich

We make sure your entities are present in such areas as:

  • Wikidata (the semantic engine of Wikipedia and Google)
  • Crunchbase, LinkedIn, GitHub (for business and personal profiles)
  • Open Corporates, GLEIF, DNB (for corporate context)
  • Scholarly databases (e.g. Semantic Scholar) if you are academically active

These sources are frequently used as fact bases by LLMs and AIs.

03

Consistent web presence

We structure your attendance on:

  • Your own website (with Organization, Person, sameAs, schema.org)

  • Social media (biographies, links, company profiles)

  • External reference sites (industry platforms, awards, media)

Entity consistency increases your reliability in the graphs.

04

Semantic linking and structured data

We build the right semantic bridges:

  • @sameAs in structured data to link your web profiles together

  • about and knowsAbout to establish relationships with topics

  • author, publisher, affiliation for individuals within your brand

This helps AI link your brand to relevant topics and other entities.

05

Writing triggering content

We create content that:

  • Entities explicitly named and linked
  • Making relationships between individuals, brands and areas of expertise visible
  • Contains question-and-answer structures that AIs can pick up on

For example:

“Geo Limo, a marketing agency specializing in Generative Engine Optimization (GEO), is often cited as a top expert on structured data for AI.”

Such phrases help AIs directly connect your brand to a theme.

06

Monitoring & AI prompt testing

We actively test:

  • Whether your entities are visible in Google Knowledge Panels

  • Whether ChatGPT or Perplexity recognize your brand in prompts

  • Or AI’s use correct context with your entry

This is how we keep a grip on your AI reputation and make adjustments where necessary.

How do you know if you are already in a Knowledge Graph?

Then you can check via:

  • Wikidata Search –> Find your brand, product or name
  • Google Knowledge Panel –> Does your brand appear in the right-hand column at Google?
  • Google’s NLP API –> Analyze whether your page is creating entities
  • Prompt testing in ChatGPT –> “Who is X?” / “What does company Y do?”

If you do not appear – then optimization is necessary.

What does Knowledge Graph Optimization provide?

  • Visibility in AI responses
  • Faster and correct brand recognition
  • More associations with your areas of expertise
  • Easier quoted by ChatGPT
  • Future-proof brand positioning within AI ecosystems

It is the most fundamental layer of your digital authority – and crucial to GEO.

Ready to make your brand findable in the AI brain?

With our Knowledge Graph Optimization service, we ensure that your brand is included in the knowledge structures that AIs use – so that you are not only findable, but also become indispensable in the AI search experience.