Project owners look at AI recommendations when choosing a contractor or an architect. A structured account of reference projects is what decides it here.
Image-heavy portfolio sites are largely unreadable for AI. Project information has to be offered as text and structured data as well.
These questions form the core of the ready-made prompt set for your sector. The variables ({sehir}, {urun}) are filled in with your own data.
Which architecture practices in {sehir} specialize in industrial building projects?
Which firms build turnkey factories?
Which firms are experienced in green building certification?
The profile of the person asking directly changes which brand AI recommends. The typical profiles we measure in this sector:
Looking for turnkey capacity and timelines
Verifying qualifications and references
Looking for a cost range and the process
Project fact sheets: square meters, duration, capacity, certification — in table form
Service pages by practice area (industrial, healthcare buildings, green building)
Descriptive alt text for images, and text equivalents alongside them
We don't guess which of these plays matters most for your brand — we measure first. The gaps the scan turns up set the priority.
People looking for legal advice now put the first question to AI. Because of advertising restrictions, being mentioned in AI responses has become the most critical visibility channel for law firms.
The patient journey now starts with a health question put to AI. In medical tourism, English-language AI visibility turns straight into patient volume.
AI shopping assistants recommend products and compare them. If your catalog can’t be read by a machine, you are left out of those recommendations.
Let's run a free baseline measurement with your sector's ready-made prompt set and put you side by side with your competitors.