How MULOs Can Win Customers Without the Click

Multi-location businesses have historically relied on local search visibility to drive website traffic. But as Google’s AI Overviews and AI Mode, along with Ai Search assistants like ChatGPT and Gemini, answer more local questions directly, customers increasingly choose businesses without visiting their websites.

This creates a measurement challenge: declining website traffic doesn’t necessarily mean declining customer interest. Multi-location businesses need to look beyond clicks to understand where AI recommends their locations, how it describes them, and whether customers can easily act on those recommendations. Winning these customers also requires ensuring locations are easy for AI agents to interact with when customers want to take action.

Track AI Visibility Across Every Location

A multi-location brand can have strong overall visibility in AI search while individual locations remain largely absent from the answers customers receive. AI recommendations depend on the query, the customer’s location, and the sources each platform draws on, so a brand’s presence in one market doesn’t guarantee visibility in another.

Track where your locations appear across Google’s AI Overviews, AI Mode, Gemini, and other assistants. Test relevant queries across each location’s trade area. Tools like Local Falcon can monitor local AI visibility by location, revealing where you appear and which competitors are recommended instead.

But tracking mentions only reveals part of the picture. AI-generated answers also shape how customers perceive a business before they visit or contact a location. If an assistant describes one location as highly rated and convenient but flags another for recurring complaints, those differences can influence a customer’s choice.

AI brand sentiment analysis helps multi-location businesses understand how AI describes their brand and individual locations, including whether those descriptions are favorable, neutral, or negative. That insight can help teams identify recurring problems, investigate the sources behind inaccurate claims, and understand how customer perceptions vary across markets.

Optimize for Google’s AI Search Experiences First

Google remains a priority for local search, and its generative AI experiences draw on many of the same signals that influence traditional local search visibility. Across dozens, hundreds, or thousands of locations, outdated hours, inconsistent service information, missing attributes, and inaccurate location pages can prevent AI from confidently communicating what each business offers.

Ensure each location’s website page reinforces its Google Business Profile with accurate service details, location-specific information, and answers to common customer questions.

Reviews deserve particular attention because they help shape how AI summarizes a specific business location. Establish consistent review-generation and response processes across locations, while giving local teams a way to address recurring complaints that corporate-level reporting might overlook.

Make Every Location Ready for AI Agents

AI search is changing what happens after discovery. Google is introducing AI-powered features that help users book services and make reservations through integrated partners, while agentic commerce is enabling assistants to navigate websites and help customers complete transactions.

For multi-location businesses, website visitors may increasingly include AI agents checking availability, confirming services, or facilitating bookings on customers’ behalf.

AI agents must be able to access information and interact reliably with website controls. Google’s web.dev guidance emphasizes semantic HTML and accessible page structures. Multi-location brands should apply these principles across their location pages.

Key steps include:

• Use clear, accessible website controls: Build booking, ordering, and contact flows around properly labeled links, buttons, and form fields, with obvious actions for submitting requests.
• Make location information available as text: Display hours, services, pricing, policies, and other essential details directly on the page rather than relying on images or downloadable documents.
• Test key customer journeys: Check whether users and assistive technologies can navigate location pages, identify available services, and complete important actions without unnecessary friction.
• Connect to appropriate booking and ordering platforms: Where supported, ensure each location’s profile and website direct customers into the correct booking or ordering flow.

These improvements also benefit human customers, making accessibility and clear information worthwhile investments even before agentic commerce becomes widespread.

Measure Visibility and Actions Beyond Website Traffic

Website sessions and click-through rates cannot capture every interaction that begins with an AI search. Combine location-level AI visibility tracking and sentiment analysis with business outcomes, including calls, direction requests, bookings, and orders. Use appropriately configured analytics and campaign tracking to attribute website visits and conversions to individual location profiles and booking links where possible.

Compare performance across locations and over time to identify markets gaining AI visibility, locations losing ground to competitors, and gaps between recommendations and customer actions.

The goal is to connect discovery with action without assuming every conversion will produce a website session. A location that rarely appears in relevant AI-generated answers may need stronger visibility, while one that is frequently recommended but generates few customer actions may have a problem with its offering, information, or conversion experience.

Turn Every Location Into an AI-Ready Destination

For multi-location businesses, zero-click search is not simply a reason to rethink website traffic reporting. It’s a reason to manage local visibility and customer action together.

Every location needs to appear in relevant AI-generated answers, earn persuasive descriptions that reflect its strengths, and provide a reliable path to a call, booking, order, or visit. That requires location-level visibility monitoring, consistent local search optimization, and digital experiences that work for both people and the AI agents increasingly helping them make decisions.