AI Platforms

Answer every place question in one call.

Hours, the quietest hour, the menu and prices, where to book or order, what is near it — one record each for 288M locations in 195 countries.

A scoping call, before any commitment.

1,300+ businesses joined in the last 30 daysBest Retail Insights Solution · VIP Awards – 2026

Sample

What comes back

Get one place’s own hours, menu, prices and booking link.

Seven things people ask an assistant about a place, and the answer to each.

Seven questions, and how far each answer reaches

The questionWhat comes backHow many places have it
Is it open when we get there?Its own hoursmore than nine places in ten
When is it quiet?Its own quietest houra third of places
What is on the menu?Its menu, each item with its pricethe places that publish one
How much will it cost?A price band, from what people say they spendmore than eight in ten eating places people talk about
Is it good with children?What families say about itone leisure place in three, one eating place in five, among those people talk about
Can we book, or order ahead?Where to book it, and where to order onlinewhere the place takes bookings or orders
Where is the cheapest halal-compatible dinner near this street?Every dish sorted, with portions, ingredients, allergens and dietsevery item on a published menu

When it is open, when it is quietest, what it costs, where to book: an answer to act on.

Each part

Separate what people praise from what they complain about.

The staff, the wait, the coffee: each comes back with its own rating.

Coffee shops in one market: friendly staff, slow to respond — two separate answers
A rating is the share of positive opinions: how many in a hundred are positive.
Are the staff friendly?98in a hundred positive
Are the staff quick to respond?20in a hundred positive

The same staff can be friendly and slow, so the assistant answers the part the user asked about.

Around it

Find the place near it that fits the same trip.

Many questions are about two places at once: a wash and somewhere to wait, a film and somewhere to eat. The places an assistant can suggest nearby reach past shops and cafés — the 288M locations include nearly 40 million non-commercial places: parks, nature, landmarks, places of worship, stations and civic buildings.

A hundred car washes, and the cafés near them an assistant can answer with

A hundred car washes, in every marketmore than four in five have a coffee shop or café near themabout one in four has one near it that families speak well of

The wash and the wait, answered together.

Every market

Ship the same call into the next market.

The fields your assistant uses in its first market come back in the next one too.

Sixty markets measured, and the share of places with their own hours in each
Out of every hundred places in each of the sixty markets measured.
Has its own hours — in fifty-eight of the sixty markets85–96

The next market answers from the same fields as the first.

Place by place

Take a question further, one place at a time.

Six pages behind the record, a question each.

TrafficWhether a place is busier than its street, week on week.
CustomerThe mix of people who turn up at a place.
PerceptionThe part of the visit people name first at one place.
ProductThe item a place is praised for, and what its street prefers.
PricingWhere a place sits on price against its own street.
ExpansionWhich places opened, which stopped trading, how crowded a market is.

Every one of the six sits behind a field the record already holds.

288Mlocations mapped and matched
1.5B+consumer profiles
11.5B+consumer signals
400M+priced items
195countries

Weekly refreshed, since 2020

One call away

Start your assistant’s next answer from the place itself.

It comes as an MCP tool your assistant calls, built from public business information and aggregated, anonymous consumer signal. Leave your email and start with a working session on a few markets.

A scoping call, before any commitment.

Point of interest data for AI assistants · Realytics