You ask ChatGPT for the best tools in your category. Your competitors are listed. You are not. That is not bad luck — it is fixable. AI models only recommend brands they know about. This guide shows you exactly what to do.
AI models such as ChatGPT, Gemini, Perplexity and Claude draw their answers from two sources: training data and real-time retrieval.
Training data is the text the model was trained on — billions of web pages, articles, forums, documentation. If your brand barely appears there, the model has no basis on which to mention you.
Real-time retrieval means some models search live for information. If you are not cited on pages they regard as authoritative, you fall outside the picture there too.
How AI models build their answers
Before taking action you need to know where you stand. Run your relevant queries in ChatGPT, Gemini, Perplexity and Claude — in both Dutch and English. Use Algora to automate this and get weekly scores.
Distinguish branded queries (with your name) from discovery queries (category searches). Discovery queries are where most brands are invisible — and where the most is to gain.
Publish structured HowTo pages and FAQ pages with schema markup. Comparison content on Dutch authority platforms such as Frankwatching and Emerce carries strong signal value.
One mention on Frankwatching, Emerce, Tweakers.net or Sprout.nl carries more AI signal value than ten blog posts on unknown domains. Create something worth publishing.
AI visibility is not a one-time action. Re-run the same queries weekly, compare scores, and adjust your strategy based on what moves. Algora automates this entirely.
Dutch-language content is underrepresented in the training data of the major LLMs. Most training material is English. That means AI models have less context about Dutch brands, Dutch markets and Dutch categories — unless specifically Dutch-language content is available.
That sounds like a disadvantage. It is also an opportunity. With relatively little Dutch-language content you can already build a strong position — because you compete with almost no one.
Whoever invests in AI visibility in Dutch now is building a lead that latecomers will find difficult to close.
Algora tracks both languages
There is no fixed timeline — anyone who gives you a guarantee is lying. Models are updated at different intervals. With serious effort — structured content and mentions on authority platforms — you will typically see movement in your scores within two to four months. But without measurement you will not know when something changes.
SEO optimises for search engines that rank pages based on links, relevance and authority. GEO — Generative Engine Optimization — optimises for AI models that generate answers from training data and live search results. The goal with GEO is for your brand to be recommended when someone asks a question in your category.
Yes. For niche categories it often works faster than for large brands, simply because the competition in AI answers is lower. If you are the only party actively working on AI visibility in a specific sector, that is an advantage you can build quickly.
Algora runs queries in ChatGPT, Gemini, Perplexity and Claude — in both Dutch and English. Scores are broken down per model and per language, so you can see exactly where you are and are not visible.
The content effort — writing pages, adding schema, securing mentions — costs mainly time. The monitoring and weekly action plan you automate via Algora. What it costs you to do nothing: customers asking an AI model about your category and never encountering you.
AI models are already answering questions from your potential customers. The only question is whether your brand is part of the answer.
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