AI Restaurant Grader Walkthrough — What a 30-Second Audit Actually Tells You

The AI Restaurant Grader is a free tool on ordering.tools/restaurant-grader. You paste your Google Maps URL, the tool pulls public signals about the venue, runs them through a scoring model, and returns a 1–100 score across seven dimensions in about 30 seconds. No login, no sales call, no credit card.

This post walks through what the seven dimensions are, where the data comes from, why two of them matter more than the other five, and how to read the report against a competitor venue rather than in isolation.

The seven dimensions

• •Google Business Profile completeness — hours, photos, attributes, categories, response rate
• •Review reputation — count, average rating, recency, response patterns
• •Online ordering presence — does the venue have a direct ordering channel, or only marketplaces
• •Reservation system — bookable direct vs only through aggregators (or no bookings at all)
• •Website quality — mobile responsiveness, page speed, Schema.org markup
• •Social presence — Instagram/Facebook activity and consistency
• •Menu discoverability — is the menu indexable on the web, or trapped in a PDF/marketplace

Where each score comes from

Google Business Profile data is pulled from the Places API (public, official). Review data is aggregated from the same. Website signals come from a real headless-browser fetch of the venue's homepage — page speed is measured, Schema.org is parsed, mobile breakpoints are tested. Menu discoverability checks whether menu content is in machine-readable HTML or in an image/PDF that search engines can't parse.

No private data is used. There is no integration with the venue's POS, no booking-system credentials, no email scraping. Everything the tool reports is what a customer (or a competitor, or Google) can already see.

The two dimensions that actually move revenue

Online ordering presence and menu discoverability. The other five matter — but they matter at the margin, while these two often double or halve the number of customers who can even find and order from you. Most venues score 70+ on profile completeness and reviews (those are mature checklists everyone has worked on) but 20–40 on the two revenue-direct dimensions.

If you read your scorecard and only do one thing, fix whichever of these two is lower. Adding a direct ordering channel typically moves online-ordering from 20 → 80. Publishing the menu as proper HTML (not a PDF) typically moves menu-discoverability from 30 → 90.

How to read the report against a competitor

The tool generates a single-venue scorecard, but the report is most useful when you run it twice — once on yourself, once on a direct competitor in the same neighbourhood. The gaps are diagnostic in a way a single number is not.

Common pattern we see: your reviews score is the same as theirs (both established venues), your website score is similar (both have a basic site), but your menu-discoverability is 40 to their 85 because their menu is on a Google-indexable page and yours is a PDF. That gap shows up in real organic traffic — when someone searches "[your category] [your city]" Google ranks them, not you.

What the report does NOT do

It does not give you a list of customers to email. It does not estimate your revenue. It does not benchmark against the entire industry — only against the signals it can see for one venue at a time. And it does not auto-fix anything; it produces a diagnosis, not a treatment.

For the diagnosis-to-treatment side, the report links each low-scoring dimension to the relevant Ordering.Tools feature page or how-to blog — but you're welcome to act on the report with whatever tools you already use. The grader is genuinely free, no upsell wall on the report.

Run it at ordering.tools/restaurant-grader. See the AI Restaurant Grader feature page for what's under the hood, or the Restaurant Online Presence guide for what to do with a low score.