How do you optimize a food shop for ChatGPT and Google AI Overviews?
AI engines recommend venues by reading structured data, not marketing photos. For your restaurant to appear in ChatGPT, Google AI Overviews or Perplexity answers, the menu, dish prices, delivery zones and allergens must be in text, short and marked up with JSON-LD.
Short answer
- Put each dish, its price and the currency in text, not only in a photo of the menu.
- Add Menu + Product/Offer JSON-LD with price, availability and an image for each dish.
- Write the dish spec with ingredients, weight and allergens, in HTML, not in a PDF.
- Add an FAQ about delivery, zones, opening hours and allergens, with short answers.
- Link each dish to its category (pizza, sushi, desserts) via internal links.
What an AI engine reads
- The dish price and currency, exact, in text and in JSON-LD.
- Availability (in stock / sold out) and the hours when delivery runs.
- Delivery zones and cost, in clear text, not in an image.
- Allergens and ingredients, so it can recommend gluten-free or vegan dishes.
Practical example
Example: for "which sushi delivery restaurant in the Floreasca area do you recommend?", an AI engine cites the venue that has its menu in text, dish prices, delivery zones and an allergens FAQ — and ignores the one with the menu only in a photo and no structured data.
Common mistakes
- The menu published only as a photo or PDF — AI engines cannot read it.
- Product schema without offers or without an image — Google and AI ignore it.
- Not mentioning delivery zones and allergens — you lose exactly the questions customers ask.
How 4salefood helps
- Menu and Product/Offer JSON-LD generated automatically when the food shop is published.
- Dish pages with ingredients, allergens and a pre-structured FAQ, plus delivery zones and opening hours.
- Price and availability synced in text and structured data, with no manual work.