Schema Markup for Restaurants: Step-by-Step Guide

# Schema Markup for Restaurants: Step-by-Step

Why Schema Matters for AI Visibility

AI models like ChatGPT and Gemini parse structured data to understand your business. Without `Restaurant` schema, your restaurant practice is just unstructured text to them.

Step 1: Base Business Schema

Add `Restaurant` JSON-LD to your homepage with:

Business name, address, phone, hours

`priceRange`: "Rs 200-5,000 per order"

`medicalSpecialty` or `serviceType`: "online ordering", "table reservations"

Step 2: Service-Level Schema

Create individual `Service` or `MedicalProcedure` entries for each offering:

online ordering — include cost, duration, description

table reservations — include eligibility, prep instructions

catering services — include recovery time, expected results

cloud kitchen — include practitioner qualifications

Step 3: Review & FAQ Schema

Add `AggregateRating` from Google reviews and `FAQPage` schema for common questions like:

"How much does online ordering cost?"

"Is table reservations painful?"

"How to choose the best restaurant?"

Step 4: Validate & Monitor

Use Google's Rich Results Test and Schema.org validator. Check monthly that AI assistants accurately reflect your services and pricing (Rs 200-5,000 per order).

Competitor Benchmark

Zomato has partial schema implementation. Full Restaurant markup puts you ahead in AI answer extraction.

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Need help implementing schema? Book a free AEO audit and we'll review your current markup.

Schema Markup for Restaurants: Step-by-Step Guide

Why Schema Matters for AI Visibility

Step 1: Base Business Schema

Step 2: Service-Level Schema

Step 3: Review & FAQ Schema

Step 4: Validate & Monitor

Competitor Benchmark

Check Your AI Visibility Now

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