AI-powered discovery has changed how customers find and choose businesses. Instead of scrolling through traditional search results, people now rely on generative engines like ChatGPT, Google Gemini, and Perplexity to recommend brands, surface nearby options, and summarize reputation signals in real time. Recent research shows that nearly half of consumers now use AI-powered tools during search or purchase decisions, making generative answers a growing entry point to brand discovery.
For multi-location and enterprise businesses, this shift brings a new challenge. Visibility is no longer shaped by keywords alone. AI engines evaluate a broader set of signals, including business data accuracy, review sentiment, response quality, brand authority, and consistency across every location.
As a result, AI visibility platforms have emerged to help brands monitor and influence how they appear in generative AI answers. This guide reviews the top five AI visibility tools for multi-location businesses, with a closer look at how enterprise-grade platforms, especially Birdeye, support discovery across generative search engines.
AI visibility tools differ significantly from traditional SEO or analytics platforms. Rather than focusing only on traffic or rankings, they help brands shape how AI systems understand and recommend businesses an approach often referred to as Generative Engine Optimization (GEO), which focuses on improving the content and trust signals LLMs use to form answers.
For enterprise and multi-location brands, strong AI visibility platforms typically support:
Visibility tracking across generative AI engines
Accurate and structured business data across directories and maps
Review volume, sentiment, and response quality at scale
Citation sources and entity authority signals
Enterprise workflows, permissions, and automation
Most tools focus on one or two of these areas. Very few connect them into a single system. This matters because generative engines evaluate brands holistically rather than through isolated signals. Fragmented tooling often leads to gaps in how AI engines interpret brand trust and relevance.
Tracking visibility is only half the job, GEO is what helps you improve it. For multi-location brands, GEO means tightening on-site location content, maintaining clean listings, and building consistent reputation signals so AI engines can confidently recommend the right location. Birdeye breaks down the core GEO levers here.”
The tools below approach AI visibility from different angles, ranging from observation and reporting to active execution. The level of enterprise readiness varies widely.
Birdeye Search AI helps multi-location brands monitor and improve how each location appears across generative AI search engines, including ChatGPT, Google Gemini, and Perplexity, ensuring accurate, consistent visibility where customers increasingly discover businesses.
Birdeye is an enterprise-grade, agentic marketing platform designed for multi-location and global brands that require centralized oversight of reputation, visibility, and customer engagement at scale. It unifies reviews, listings, AI-powered discovery, messaging, social activity, and insights within a single platform built for distributed organizations.
Built on an agentic AI framework, Birdeye deploys configurable AI agents to orchestrate discovery and reputation workflows while maintaining brand consistency and governance. Through Birdeye Search AI, the platform monitors and improves how brands and individual locations surface across generative AI engines such as ChatGPT, Google Gemini, and Perplexity, supported by more than 3,000 integrations spanning CRM, EHR/EMR, POS, PMS, and other enterprise systems.
Core Search AI capabilities:
Prompt intelligence: Reveal the exact questions customers ask generative AI engines by brand, service, and location to understand how discovery actually happens.
Generative visibility benchmarking: Track where your brand and locations appear in AI-generated responses and compare performance against competitors across ChatGPT, Google Gemini, Perplexity, and other platforms.
Citation and source insights: Identify the sources AI engines rely on most within your category and measure your share of citations across brands and locations.
Business data accuracy checks: Verify that the information AI engines consume aligns with trusted data sources and flag inconsistencies that impact AI visibility.
Sentiment and message analysis: Analyze how AI engines describe your brand and competitors, including sentiment, positioning, and recurring themes.
Action-driven recommendations: Deliver prioritized actions based on visibility gaps, citation patterns, sentiment signals, and data accuracy issues to improve inclusion in generative AI answers.
Birdeye’s agentic AI framework powers these capabilities through specialized AI agents, including Listings AI Agents, Reviews AI Agents, Insights AI, and Search Optimization Agents, that continuously reinforce the signals that generative engines depend on, drawing on accurate business data, fresh reviews, and engagement insights.
Ratings/reviews
G2 rating: 4.7/5 with 3,700+ reviews
Uberall focuses on local presence management and customer engagement for multi-location brands. The platform helps businesses manage listings, respond to reviews, and engage customers across local channels.
Key capabilities:
Listings and local presence management
Review monitoring and response workflows
Local engagement analytics
Store locator and local pages
Uberall supports local consistency and engagement but does not track generative AI answers, citations, or sentiment within AI-generated summaries. For AI visibility, it supports signals without providing visibility into AI-driven discovery outcomes.
Ratings/reviews
G2: 4.3/5 with 149 reviews
Yext focuses on structured business data and digital knowledge management. The platform helps brands maintain consistency across listings, maps, and owned digital properties—signals that generative AI engines often rely on when summarizing businesses.
Key capabilities:
Centralized business data management
Listings distribution across directories and maps
Knowledge Graph for structured entity data
On-site search and FAQs
Yext plays an important role in data accuracy, track how brands appear in generative AI answers, analyzing AI citations, or evaluating sentiment within AI-generated responses. For enterprise brands, it addresses one component of AI visibility rather than the full discovery lifecycle.
Ratings/reviews
G2: 4.4/5 , with 962 reviews
Profound focuses on generative AI search analytics, helping brands understand how they appear within AI-generated answers and recommendations. The platform is designed to surface visibility, sourcing, and competitive presence across large language models.
Key capabilities:
Generative answer tracking: Monitor brand mentions and positioning across AI-generated responses from platforms such as ChatGPT and Perplexity.
Source and citation analysis: Identify which publishers, websites, and entities AI engines reference when discussing your category.
Competitive visibility benchmarking: Compare how often your brand appears in AI answers relative to competitors.
Prompt and topic monitoring: Track visibility across predefined prompts, topics, and brand-related queries.
Trend reporting: Analyze changes in AI visibility over time as models and sources evolve.
Profound provides useful insight into how AI systems reference brands and which sources influence AI-generated responses. However, it operates primarily as an analytics and reporting layer. The platform does not manage listings, reviews, messaging, or location-level reputation signals that materially affect AI recommendations for multi-location businesses. For enterprises, Profound explains where visibility exists in AI answers but does not offer tools to actively shape or reinforce those signals at scale.
Ratings/reviews
G2: 4.6/5 with 155 reviews
Brandwatch approaches AI visibility through brand intelligence and social listening. It helps enterprises understand how brands are discussed across digital and social channels.
Key capabilities:
Brand and sentiment monitoring
Social and online conversation analysis
Trend and theme detection
Competitive brand intelligence
Brandwatch provides valuable insights into brand perception, but it does not connect them to generative AI engines or location-level discovery. It informs strategy rather than influencing how AI systems surface and recommend brands.
Ratings/reviews
G2: 4.4/5 with 706 reviews
As generative AI engines increasingly influence how customers discover and evaluate businesses, AI visibility has become an enterprise-level concern. Tools that focus only on data management, content, or monitoring address parts of the challenge but do not influence how AI engines interpret trust, authority, and relevance across locations.
Among the platforms reviewed, Birdeye Search AI stands out as the most comprehensive AI visibility solution for multi-location businesses, combining discovery tracking, reputation signals, data accuracy, and agent AI execution in a single, enterprise-grade platform. For brands focused on shaping AI-driven discovery at scale rather than merely observing it, this distinction is essential.