G-LabG-Lab Studio

For journalists and researchers

Press and citation

Everything here is free to quote with attribution to G-Lab Research. If you need the sample behind a figure, an unpublished cut of a dataset, or a comment, write to hello@g-lab.studio and you will get a real answer, including when the answer is “we do not know that yet”.

Definitions

Agent-ready booking

A local business is agent-ready for booking when an AI assistant, acting for a customer, can find it, understand what it offers, and complete a booking on the business’s own public booking path without a human filling the gaps.

G-Lab Agent-Ready Booking Score

A 0–100 measurement of a single business across four dimensions: online presence, customer actions, AI readiness and agent-ready booking. It is a public scoring framework, not an industry standard: the method is published and versioned, and the exact internal weights are not disclosed. Methodology and changelog.

G-Lab Agent-Ready Booking Index

The same measurement applied to a market rather than a business, so a city, country or vertical can be compared over time. About the Index.

Figures you can quote

These are third-party findings we cite, not our own. Our own figures will appear here as each index publishes, with its sample and method version attached.

45%

of consumers used AI to find a local business in 2026, up from 6% in the previous survey

BrightLocal, Local Consumer Review Survey 2026

83%

of restaurant locations did not appear in AI-generated recommendations

Uberall, 2026 QSR benchmark

16%

of hotels appear in AI-generated recommendations at all

HotelWorld AI, Q1 2026 Visibility Index

Boilerplate

G-Lab measures how ready local businesses are to be found, understood and booked, then builds the websites, visibility and booking systems that close the gaps. G-Lab Research publishes independent studies of that gap, market by market.

Using the term and the mark

The term and the score are free to use and cite, including by agencies in client reports. We ask for one thing: keep the attribution Powered by the G-Lab Agent-Ready Booking Score visible, so a reader can trace a number to the method that produced it. Reports may be white-labelled; the metric may not.

G-Lab Research studies how local businesses are found, understood and booked by people and by AI assistants. We publish the method before the findings, name every source, and version the methodology so a result can always be traced to the way it was measured.

Questions about a figure, the sample or the method: hello@g-lab.studio. Corrections are published in the methodology changelog.