Measurement · updated October 20, 2026

Miami Restaurant Discovery Report

What search and AI can currently figure out about eating here

This is not a ranking of restaurants. It is a measurement of how discoverable they are, across 36 categories of reason somebody picks a table. Where the city has no coverage at all, we print that too.

89 venues in the Miami dataset
13 categories with real coverage
2 categories still thin
21 categories with nothing behind them

Category coverage

Every category in the network taxonomy, with the number of Miami venues currently resolving to it. Categories are published as pages at one venue and up. A category at zero is a gap, and gaps are the most useful column in this table.

Discovery category coverage for Miami
CategoryFamilyVenuesStatus
In the MICHELIN Guide The Story 20 Covered
Dance Floors The Room 15 Covered
The Whole Family Table The Occasion 11 Covered
Live Music The Room 9 Covered
Sports on TV The Occasion 8 Covered
Craft Cocktail Programs On the Menu 7 Covered
Sushi On the Menu 5 Covered
Rooftops and Patios The Room 5 Covered
Vegan and Plant-Based On the Menu 3 Covered
Late-Night Food On the Menu 3 Covered
Steakhouses On the Menu 3 Covered
Waterfront Dining The Room 3 Covered
Chef-Driven Kitchens The Story 3 Covered
BBQ and Smokehouses On the Menu 2 Thin
Seafood and Oysters On the Menu 2 Thin
Big Groups The Occasion 0 No coverage
Black-Owned What They Stand For 0 No coverage
Brunch On the Menu 0 No coverage
Celebration Restaurants The Occasion 0 No coverage
Date Night The Occasion 0 No coverage
Dog-Friendly Patios The Room 0 No coverage
Easy to Get Into What They Stand For 0 No coverage
Gluten-Free Kitchens On the Menu 0 No coverage
Great Places to Work What They Stand For 0 No coverage
Great Views The Room 0 No coverage
Historic Rooms The Story 0 No coverage
In the Community The Story 0 No coverage
Locally Sourced What They Stand For 0 No coverage
Neighborhood Institutions The Story 0 No coverage
Origin Stories The Story 0 No coverage
Private Dining and Buyouts The Occasion 0 No coverage
Quiet Enough to Talk The Room 0 No coverage
Service Rituals The Story 0 No coverage
Sustainable Kitchens What They Stand For 0 No coverage
Tableside Experiences The Room 0 No coverage
Women-Owned What They Stand For 0 No coverage

What Miami is not discoverable for at all

These are real reasons people choose a restaurant, and right now not one venue in our Miami dataset is filed under any of them. Some of those are our research gaps. Some are the city's. Telling them apart is the next piece of work, and it is the reason this list is published instead of hidden.

What machines can read

Measured on 89 of 89 venue websites. Each bar is the share of scanned sites that pass that check, counting only the sites where we could determine an answer. A site we could not read at all is reported as unknown, never as a failure.

Declares a business type 45%

A Restaurant, BarOrPub, or LocalBusiness type is what puts a venue into local answer sets. 37 pass, 45 fail, 7 unknown.

Hours published on site 54%

Hours are the most time-sensitive fact in local search and the most commonly stale. 44 pass, 38 fail, 7 unknown.

Page description written 59%

The description is what gets quoted when a search engine or assistant summarizes the venue. 48 pass, 34 fail, 7 unknown.

Structured data present 71%

Structured data is how a machine knows this page describes a restaurant rather than a blog post. 58 pass, 24 fail, 7 unknown.

Menu linked from the homepage 80%

A menu behind a PDF or an image is invisible to every system that reads text. 66 pass, 16 fail, 7 unknown.

Website reachable 92%

A venue whose website cannot be read has no source of truth for any other system to draw on. 82 pass, 7 fail.

Address published on site 94%

A site that never states its own address cannot confirm the entity anywhere else. 77 pass, 5 fail, 7 unknown.

Social profiles linked 94%

Linked profiles are how a machine confirms it is looking at one business and not two. 77 pass, 5 fail, 7 unknown.

Open to AI crawlers 97%

A robots.txt that blocks AI crawlers removes the venue from AI-assisted discovery entirely. 75 pass, 2 fail, 12 unknown.

Served over HTTPS 100%

Browsers and crawlers both discount sites that are not served securely. 89 pass, 0 fail.

Who leads the categories that matter most

Ranked on measured readability, not on opinion and not on spend. A venue climbs this by publishing more about itself in a form a machine can read.

In the MICHELIN Guide

  1. Mandolin Aegean Bistro 94% readable
  2. Phuc Yea 94% readable
  3. Chug's Diner 88% readable

Dance Floors

  1. Barsecco 88% readable
  2. Tipsy Flamingo 88% readable
  3. Club Space 82% readable

The Whole Family Table

  1. Café La Trova 94% readable
  2. Calle 8 Sports Bar and Grill 94% readable
  3. Grails Miami 94% readable

Live Music

  1. Café La Trova 94% readable
  2. Ball & Chain 88% readable
  3. E11EVEN Miami 76% readable

How this was measured

Venue records are researched by hand and dated. Nothing is guessed: a field we cannot verify is left empty, and an empty field counts against the record rather than getting filled with something plausible.

Website checks are run by our own scanner against each venue's own site and its robots.txt. It reads what is publicly served, at normal request rates, identifying itself honestly. It does not log in, does not scrape anything behind a form, and stores only the pass, fail, or unknown result of each check.

Discovery categories are resolved from a venue's structured attributes plus explicit editorial tagging for the things attributes cannot express, like an origin story or a service ritual. The full category taxonomy is public at /data/discovery-categories.json and the venue dataset is public at /api/places.json.

Venues can pay for extra attention here. Paid spots are always labeled as sponsored and kept out of every measurement on this page. A score only moves when what a venue shows the world gets better.

Want your own line in this report?

We will tell you what we can currently discover about your restaurant, what search and AI appear able to understand about it, and what they are missing. That part is free.

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