At a Glance
- New proprietary system measures hotel visibility in AI search engines.
- Methodology includes structural audits and performance simulation tests.
- Hotels receive quantified visibility scores and prioritized action plans.
MOVE Marketing Agency has officially launched its AI Hotel Visibility System, a new solution designed to help hospitality brands manage their presence within artificial intelligence recommendation engines. Based in Huntington Beach, California, the firm developed this tool to address how platforms like ChatGPT, Google AI Overviews, and other emerging answer engines influence modern travel decisions. The system aims to replace traditional digital strategies that may no longer capture demand from automated answer engines.
Methodology and Structural Readiness
The new system utilizes a proprietary two-part methodology to evaluate how AI models interpret and present hotel data. The first phase consists of a Structural Readiness Audit, which examines a hotel's website for specific signals that AI platforms prioritize. These signals include identity clarity, guest targeting, and location context. By focusing on these data points, MOVE Marketing Agency ensures that digital assets are formatted for machine interpretation.
This process identifies whether a property's unique selling points are clearly communicated to non-human evaluators. The audit highlights specific gaps that might prevent an AI from recommending a specific hotel to a traveler. The agency notes that the shift toward AI discovery requires a departure from standard search engine optimization. Instead of focusing solely on keywords, the system looks at how AI systems evaluate and differentiate properties across the internet.
This structural alignment helps hotels maintain a presence as search behaviors transition from lists of links to direct answers. Marketing teams can use these insights to verify that their core messaging is being indexed correctly by large language models. The audit also assesses how well a property's location context is understood by AI, which is a significant factor in localized travel queries. Ensuring that an AI can confidently interpret a hotel's purpose is the first step in this new optimization process.
"Our goal is not just to show hotels where they stand, but to give them a clear path to becoming recommendable by AI. This is about turning visibility into revenue by aligning digital presence with how AI actually makes decisions."
— Janice Tugaoen, Founder at MOVE Marketing Agency
Performance Testing and Quantified Results
The second component of the methodology involves an AI Recommendation Performance Test. This phase simulates real-world traveler prompts to see how hotels appear across various AI platforms. Analysts measure recommendation frequency, positioning, and the confidence level of the generated answers. This data provides a realistic view of how often a hotel is being suggested to potential guests during the trip-planning phase.
Each audit generates a quantified AI Visibility Score to provide a clear benchmark for hotel operators and ownership groups. This score is accompanied by a detailed breakdown of visibility factors, identification of critical gaps limiting AI recommendation confidence, and a step-by-step improvement roadmap with prioritized actions. These deliverables allow marketing teams to take immediate action based on specific data rather than general industry trends.
The system also provides an estimated impact for each recommendation, helping management companies allocate resources effectively. By identifying these gaps, the tool aims to increase the likelihood of a hotel appearing in high-intent travel queries. This data-driven approach bridges the gap between technological shifts and measurable business outcomes. Hospitality brands can use these insights to adjust their digital footprint and secure a competitive advantage in a changing market.
As recommendation engines become a primary channel for trip planning, adoption of these tracking tools is expected to influence booking volume. The service is currently available to individual hotels, management companies, and larger hospitality brands. The agency's focus remains on intelligent storytelling and data-driven strategies that drive revenue. By providing a structured approach to AI discovery, the firm helps hotels adapt to the evolving digital environment where modern travelers are searching.
The launch of the AI Hotel Visibility System comes as the hospitality sector faces significant changes in how consumers discover accommodations. By moving from uncertainty to execution, MOVE Marketing Agency provides a framework for hotels to adapt to the rise of answer engines. Future developments in AI search will likely necessitate these types of specialized audits to ensure long-term discoverability. The agency continues to focus on strategies that align with modern traveler behaviors and technological shifts.
