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.
Marketplaces and comparison sites dominate AI responses. For your own brand to be mentioned, your product data has to be structured and it has to appear in independent comparison content.
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 are the best brands for {urun}?
What is the best {urun} you can buy on a {oran} budget?
Where can I buy this product in Türkiye?
The profile of the person asking directly changes which brand AI recommends. The typical profiles we measure in this sector:
Looking for the best option within a set budget
Cares about quality and return conditions
Doesn’t know the category, wants a recommendation
Complete product data with Product and Offer schema (stock, price, shipping, returns)
“X or Y” comparison pages — in table form, with clear criteria
Category buying guides: budget range × use case matrix
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.
SMEs run the first round of elimination with AI when they pick an accountant. In a field this crowded with local competition, regional visibility gaps are enormous.
Let's run a free baseline measurement with your sector's ready-made prompt set and put you side by side with your competitors.