Google expanded AI Mode in Search to let the assistant find and help book event tickets and beauty appointments by performing real time cross site searches, matching multiple criteria, and handing users off to vendor sites to complete purchases. Available via Search Labs to opted in users.

Google expanded AI Mode in Search to let the assistant do more than answer questions. Now the system can perform real time cross site searches to find and help book event tickets and beauty or wellness appointments that match user criteria such as price, seating preference, date and time. The change moves Search from find to do and reduces manual steps for users while creating new opportunities for businesses and automation agencies.
Agentic AI describes systems that take multi step actions on behalf of users rather than only returning information. Google has already supported restaurant reservations and now extends that capability to ticketing and appointment booking. By aggregating availability across sites and surfacing curated options, AI Mode reduces friction for people asking conversational queries like "How do I book concert tickets with AI" or "Can AI find a same day beauty appointment near me".
Companies that want to capture AI driven traffic should prepare listings and booking flows to be machine friendly. Practical steps include:
Agentic features raise questions about data use and consent. Businesses and platforms should be transparent about what signals the assistant sees and how recommendations are generated. Operators must tackle scalping detection and inventory accuracy to protect both users and merchants.
To rank well for searches driven by agentic AI and voice queries, use conversational long tail phrases and answer common user intents directly. Examples of high value queries to include in content and FAQ sections are:
Also focus on EEAT by including clear descriptions of processes, citations or links to provider policies, and step by step guides for booking flows. Use structured FAQ blocks that answer voice queries in plain language to improve chances of being surfaced by AI driven search results.
As assistants learn to act on behalf of users, companies that prepare for agentic AI by exposing reliable availability, clear booking confirmations and robust privacy practices will be better positioned to win bookings and build trust with customers.



