Description
Goal
Create a menu that both guests and algorithms understand: persuasive copy, clear tags, and correct search markup.
What we do (step by step)
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Menu information architecture: sections, hero dishes, combos, tags (vegetarian/spicy/gluten-free, etc.).
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Dish copy: concise, sales-driven descriptions; recommended pairings (food + beverage).
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Visuals: card grid for site/aggregators, previews, photo recommendations.
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QR menu: upsell logic, micro-offers, UTM linking.
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Structured data: JSON-LD (Restaurant/Menu/Offer/PriceSpecification/Review), testing and fixes.
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Usability: allergen disclaimers, dish status markers (bestseller/new/limited).
What you get
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A clear, appetizing menu + correct dish rendering in search.
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A faster path from “search → order,” with higher conversion and average check.
Files/formats
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.pdf/.png— menu layouts (print/screen), card grids. -
.docx— dish names/descriptions/tags (additional languages). -
.json— JSON-LD blocks ready to implement. -
.svg/.png— QR codes. -
.pdf— maintenance guide for keeping data current.
Success metrics
Dish card visibility, Order/Reserve clicks, menu conversion, average check.
What we need from you
Current prices, dish list, cuisine specifics, allergen info.
Options/add-ons
Seasonal menus, additional languages, promo/offer landing pages.
Mini-FAQ
— Does Schema work without a website? Partially; strongest results when a menu page exists.
— Can we tie into delivery apps? We’ll provide best practices and UTM linking patterns.
Reviews
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