ChatGPT visibility in Belgium

OpenAI says OAI-SearchBot is used to surface websites in ChatGPT search. Allowing it in robots.txt is therefore the first check. GPTBot has a separate model-training role: allowing Search does not require allowing training.

Access is not evidence. Each service, territory, public price and proof claim needs one clear source page that does not conflict with business profiles or commercial documents.

Google’s official guidance says llms.txt, special GEO markup and artificial content chunking do not improve visibility in its generative features. Indexing, original content, internal links and consistent data remain the foundation.

Publishing a page for every long-tail variation to influence answers is the wrong move. A new route should exist only for a distinct decision backed by its own evidence.

In Search Console, we also check the Search generative AI inclusion setting, including whether it is inherited from a parent property. The AI performance report then lets us compare impressions by page, country, device and period. These impressions are neither Bing citations nor business enquiries: we track them separately.

We map the entity, offers, proof and risky wording. Then we correct the strongest public pages and repeat a stable question set to compare answers and cited sources over time.

The controllable output is a clearer source base and a record of observed answers, sources and corrections. No supplier can guarantee a citation, ranking or recommendation.

The AI performance report in Bing Webmaster Tools shows cited pages and the phrases used to retrieve sources. Views by intent and topic, alongside comparisons between periods, help identify content worth reviewing. Citation share is neither traffic share nor a quality score.

After a change, IndexNow can notify participating search engines of the updated address. This helps discovery but does not prove indexing or citation. We therefore report published changes, observed citations and received business enquiries separately.

For each important claim, we record its supporting page and the date it was checked. A price links to its scope, a method to its steps, and a customer result to an authorised case with the measurement period and conditions. Without a documented result, we explain the method without inventing figures.

Readers find consistent information in the text, image caption and structured data. We correct contradictions between translations and use descriptive links to the evidence. JSON-LD supports that visible information; no special schema forces an AI system to cite a business.

Hebora’s default GEO path shows €600 setup plus €300 per month. The €300 setup and €200 monthly monitoring is an add-on you choose. Languages, source research and publishing scope are confirmed before work starts.