Digitalisation & Technology, 23 October 2025

How are insurers gearing up for AI-driven internet searches?

The Transformation of the Insurance Industry Through AI

Focus Money Lisa Schmolke

In the past, finding insurance involved typing keywords like 'household contents insurance comparison' into search engines, which then generated a list of links. Today, the process has evolved. Luisa Schmolke, Innovation Manager at the ERGO Innovation Lab in Berlin, sheds light on this transformation.

AI systems, such as ChatGPT, now provide direct answers in chat format, for instance: ‘‘Which home contents insurance suits my 80 square metre flat?’’. These systems deliver comparisons and tailored recommendations.

This is enabled by large language models (LLMs), which grasp language contextually, respond in natural language, and access current data.

For insurers, online visibility is undergoing a transformation

While traditional search engines depend on keywords and backlinks, AI systems favour content that is machine-readable, semantically clear, and deemed trustworthy.

At ERGO Innovation Lab, we've collaborated with ECODYNAMICS, an AI-specialist company, to scrutinise AI search. Our analysis of over 33,000 search results unveils three pivotal patterns:

  1. Modular content featuring FAQ formats, tables, and calculators is deemed particularly useful by LLMs. This is often true for content providers like brokers, including comparison portals. Pages relying solely on classic search engine optimisation (SEO) are losing visibility.
  2. Semantic structure outperforms brand recognition: Content that's consistently linked and logically structured forms semantic fields in AI's vector space. Essentially, LLMs organise information by semantic proximity rather than keywords. Terms such as ‘vehicle’, ‘damage’, or ‘comprehensive insurance’ are grouped in vector space due to their frequent contextual use in motor insurance.
  3. Trust is crucial: AI systems prioritise sources with traceable authorship, clear origins, and verifiable facts. Visibility is achieved not only through technology but also reputation.

For insurers, this implies that while classic SEO remains foundational, it's no longer sufficient for ensuring visibility. Clean HTML, swift loading times, and barrier-free access are essential. Additionally, dialogue-oriented formats that AI systems can directly integrate are becoming important.


From SEO to AI Search Optimisation

For further insights on this topic, our white paper ‘From SEO to AI Search Optimisation: How Large Language Models are Redefining Digital Visibility’ is available free of charge.


The emergence of AI agents will be a future trend. These digital assistants can autonomously manage entire processes.

For users, this means that from the initial query to product selection, everything happens directly within a chat. Information, comparison, and purchase are seamlessly connected.

This trend heightens competition. Websites may lose significance as decisions are made in dialogue with AI. Conversely, there's an opportunity to become part of these new user pathways. In future, brands must write for both people and machines.

Content that LLMs can comprehend, structure, and quote will remain visible. Those who delay this transition risk losing customer access to competitors. For insurers, transparency, structure, and trust are key to being found and staying relevant.

Autorin: Luisa-Marie Schmolke

Note: This guest article first appeared in the AI column ‘Prompt! AI in Focus’ in Focus Money Versicherungsprofi.


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Author: Luisa-Marie Schmolke, Innovation Manager

Luisa-Marie Schmolke is Innovation Manager at the ERGO Innovation Lab Berlin. She writes about digital trends in the insurance industry for //radar.

Luisa-Marie Schmolke, Innovation Managerin im ERGO Innovation Lab Berlin

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