Case study: improving AEO score from 30 to 85
A mid-size B2B company improved its AEO score from 30 to 85 in twelve weeks. Learn which steps they took, which mistakes they made and how you can achieve the same results for your website.
02 — BLOG
Blog AEO
Insights on AI readiness, AEO and digital strategy
ALL
AEO STRATEGY
57
TECHNICAL SEO
47
AI & AGENTS
34
STRUCTURED DATA
23
CONTENT STRATEGY
37
PROTOCOLS & STANDARDS
21
CASE STUDIES
5
TOOLS & TUTORIALS
20
Automating structured data with AI tools
Manually adding Schema.org markup to every page takes hours. Discover how AI tools automate this process, which tools are available and how to ensure the quality of automated structured data.
Prompt engineering for content creators
The quality of AI-generated content depends on the quality of your prompts. Learn prompt engineering techniques that help content creators get better results from AI language models.
Vector embeddings explained: how AI compares content
Vector embeddings form the foundation of how AI models understand, compare and rank content. Learn how this technology works and why it matters for your content strategy.
Hybrid content strategies: humans and AI together
The most effective content is not created by using AI or humans alone, but by combining forces. Discover how to set up a hybrid content strategy where humans and AI each fulfill their strongest role.
Detecting and distinguishing AI-generated content
As AI models produce increasingly better texts, it becomes crucial to recognize AI-generated content. Learn which detection methods exist, why authenticity remains important and how organizations can be transparent about AI content.
Natural Language Processing basics for marketers
Natural Language Processing (NLP) is the technology behind how AI understands text. As a marketer, you do not need to be a programmer, but understanding NLP basics helps you write content that AI models process more effectively.
Semantic search: beyond keywords to meaning
Search engines and AI models increasingly understand what you mean, not just what you type. Semantic search is changing the rules for content optimization. Learn how to write content that scores on meaning.
AI training data and your content: rights and risks
Large language models are trained on web content, possibly including yours. What are your rights? What risks do you face? And how can you maintain control over how your content is used by AI systems?
Analyzing citation patterns: which content gets cited?
Not all content is cited equally by AI models. There are clear patterns in which type of content, structure and tone of voice is preferred. Learn how to analyze these patterns and align your content strategy accordingly.
Knowledge graphs and entity disambiguation: becoming the right entity
AI models use knowledge graphs to recognize and distinguish entities. Those who do not explicitly disambiguate risk confusion with namesakes. Learn how to make your brand or person unambiguously identifiable for AI.
International AEO: strategy for multiple markets
AI models serve users worldwide in their own language. For businesses operating internationally, this means AEO strategy must be adapted per market. Discover how to build multilingual AI visibility without fragmenting your budget.