As AI reshapes how travellers discover and evaluate hotels, online reviews have never carried more weight. But it’s not just about star ratings anymore. Today’s language models don’t just scan—they summarise. They synthesise thousands of reviews into neat narrative summaries that can appear in search results, on booking platforms, and in voice assistants. What they say—and how they say it—can directly influence booking decisions before a visitor ever reaches your site.
Understanding how these summaries are formed, and what you can do to shape them, is now a core part of smart hotel reputation management.
What Are AI Review Summaries—and Where Do They Appear?
AI review summaries are generated by large language models (LLMs) that analyse user-generated content across the web. These include guest reviews on platforms like Google, TripAdvisor, Booking.com and other third-party sites. Instead of simply listing quotes or testimonials, these systems extract common themes—such as “friendly staff” or “dated bathrooms”—and generate an overview that reflects collective sentiment.
You’ll now see these summaries:
- In Google Search Generative Experience (SGE) responses
- On Google Business Profiles (GBP) under “People often mention”
- Within TripAdvisor’s AI summaries on hotel listings
- Increasingly, in voice search results or chatbot interactions
These summaries are fast becoming the digital “first impression.” And they’re not always flattering—because AI doesn’t just report what’s good. It reports what’s consistent.
How AI Decides What to Summarise
Unlike traditional algorithms, LLMs assess patterns in tone, language, and volume. They pick up on the frequency of terms, sentiment direction (positive/negative), and contextual cues like time relevance or emotional phrasing.
Here’s what typically influences AI-generated summaries:
- Volume of mentions: If multiple guests mention the same feature, it’s more likely to be surfaced.
- Sentiment density: Strongly positive or negative phrasing (“exceptional breakfast” or “extremely noisy”) has higher weight.
- Recency: More recent reviews are often given priority to keep summaries current.
- Linguistic clarity: Reviews written in clear, consistent language are easier for AI to parse and summarise.
In short: repetition plus clarity equals influence.
How Hotels Can Positively Shape Their Review Narrative
You can’t—and shouldn’t—control what guests say. But you can absolutely guide the shape of that conversation by:
1. Encouraging Volume Around Strategic Themes
If your hotel is newly refurbished, eco-certified, or offers standout breakfast service, don’t just say it on your site—ask satisfied guests to mention it in their reviews. Provide gentle prompts via post-stay emails or front desk touchpoints to ensure key strengths surface repeatedly.
The Wesley’s eco credentials are a great example of a unique selling point that should be regularly reinforced in user-generated content.
2. Responding to Reviews with Contextual Clarity
AI scrapes not only guest reviews, but your responses. Use these as an opportunity to clarify, reframe or reinforce key messages. A guest mentions your great location? Reinforce proximity to transport or local landmarks naturally in your reply. A guest has a complaint? Empathetically acknowledge and offer a solution—but do so with clarity and specificity.
3. Cleaning Up Outdated or Inaccurate Feedback
If a recurring issue has been resolved—say, poor Wi-Fi or maintenance concerns—make sure you note this in your responses and flag reviews that are no longer accurate. Google and TripAdvisor don’t remove reviews easily, but your replies are indexed and matter just as much in shaping the AI narrative.
What Makes Review Content AI-Friendly?
The best-performing reviews—those most likely to influence AI summaries—are:
- Specific
- Recent
- Written in clear, natural language
- Rich in descriptive phrases (e.g. “bright, spacious room with excellent city views”)
- Focused on experience, not just service features
Encourage this by making it easy for guests to write. A quick review prompt with suggested themes (e.g. location, comfort, food) often leads to more useful detail.
Don’t Forget Structured Data and Local Profiles
While reviews are the core input, structured content on your site and GBP also helps AI contextualise your offering.
Make sure your Google Business Profile is fully optimised with attributes, Q&A entries, up-to-date images and services. Structured data like Review schema and LocalBusiness schema helps signal legitimacy and improves how your site is interpreted by AI systems crawling the web.
You can also explore JSON-LD markup for your reviews and responses to provide machine-readable sentiment indicators.
The Takeaway: Shape, Don’t Script
AI review summaries aren’t a threat—they’re a new layer of visibility. For hotels that invest in guest experience and respond authentically, they offer a new way to surface strengths without paid ads or SEO-heavy landing pages.
Start by listening to your reviews. Then align your guest experience, content strategy and reputation management efforts around the themes that matter most to travellers—and the algorithms serving them.
