The Short Answer: AI Is Now the Front Desk of Guest Discovery
Artificial intelligence is fundamentally reshaping how travellers find, evaluate, and book hospitality businesses. 78% of travellers are now open to using AI for trip planning (Revinate, 2025), and Google’s AI Overviews have expanded to reach 1.5 billion users monthly across 200+ countries (Google, 2025). Instead of scrolling through ten blue links, guests now ask conversational questions and receive synthesised answers that name specific hotels and restaurants. ChatGPT alone processes queries from 900 million weekly active users (OpenAI, 2025). For hospitality businesses, this shift means that being “well-ranked” is no longer enough. Your content needs to be structured so AI systems can extract, cite, and recommend your property by name. The businesses adapting to this change are capturing a growing share of discovery traffic — while those ignoring it are becoming invisible to an entire generation of travellers.
TL;DR: AI search is rewriting guest discovery. 78% of travellers are open to AI trip planning (Revinate, 2025), AI Overviews appear in 50%+ of Google queries, and AI-referred traffic grew 527% in early 2025. Hotels and restaurants need answer-ready, citable content to stay visible.
How Big Is the AI Search Shift for Hospitality?
The numbers tell a striking story. AI-referred website sessions grew 527% between January and May 2025 (SparkToro, 2025), and that growth has only accelerated since. AI Overviews now appear in more than 50% of all Google search queries, meaning half of your potential guests see an AI-generated answer before they ever reach a traditional search result.
This isn’t a niche trend. Google confirmed that AI Overviews reach 1.5 billion users per month across more than 200 countries. ChatGPT has 900 million weekly active users. Perplexity, Copilot, and Gemini are adding millions more. When someone asks “best boutique hotel in Melbourne for a weekend getaway,” they increasingly get a direct answer rather than a page of links to scroll through.
For hospitality specifically, the implications are enormous. Travel is one of the most-queried categories in AI tools. Guests ask complex, multi-part questions that traditional search handles poorly: “Where should I stay in Sydney if I want to walk to the Opera House and eat well nearby?” AI handles these perfectly — and it pulls its answers from content that’s structured to be cited.
For the full picture of how these trends are reshaping campaign performance, see our Hospitality Marketing Benchmarks 2026 guide.
What's the Difference Between Traditional Search and AI-Powered Discovery?
The guest journey has changed structurally. 92% of AI Overview citations come from pages already ranking in the top 10 of traditional search results (industry research, 2025), but ranking alone no longer guarantees visibility. AI systems don’t just look at which page ranks highest — they look for content passages that directly answer the question being asked.
Here’s how the two models compare:
| Traditional Search | AI-Powered Discovery | |
|---|---|---|
| How guests search | Keywords in Google | Natural language questions to AI |
| Results format | 10 blue links | Synthesised answer with citations |
| What gets cited | High-ranking pages | Answer-ready content passages |
| Key ranking factor | Backlinks + SEO | Brand mentions + citability |
| Optimal content | Keyword-optimised pages | 134-167 word answer blocks |
| Discovery path | Click → browse → decide | Ask → get answer → visit |
The shift from “click and browse” to “ask and get an answer” has a profound implication for hotels and restaurants. In traditional search, you need a guest to click your link, browse your site, and decide to book. In AI discovery, the AI might recommend your property by name before the guest ever visits your website. The question becomes: is your business the one being named?
What makes this more nuanced than it first appears is that AI citations aren’t random. Brand mentions correlate 3x more with AI visibility than backlinks do (Ahrefs, December 2025). That means a hotel frequently mentioned in travel guides, review sites, and editorial content has a structural advantage — even if its website SEO isn’t perfect.
See our hospitality CTR benchmarks for how these AI-driven changes affect click-through rates across channels.
Where Are Guests Actually Using AI to Plan Trips?
AI-assisted travel planning happens across multiple platforms, not just ChatGPT. With 900 million weekly active users (OpenAI, 2025), ChatGPT is the most visible, but Google’s AI Overviews — integrated directly into search — reach even more people. Understanding where your guests encounter AI answers helps you optimise for each platform.
Google AI Overviews
These appear at the top of Google search results for more than half of all queries. For travel-related searches like “best restaurants in Brisbane” or “family-friendly hotels Gold Coast,” the AI Overview synthesises information from multiple sources and presents a direct answer. Getting cited here means your business appears before any organic result or paid ad. Since 92% of citations come from top-10 ranking pages, strong traditional SEO remains the foundation.
ChatGPT and Conversational AI
ChatGPT handles complex, conversational queries that traditional search struggles with. “Plan a 3-day Melbourne itinerary with boutique hotels under $250/night and walking-distance restaurants” — that’s a query ChatGPT excels at. It names specific properties. The businesses it recommends are those with strong brand presence across the web, including mentions in articles, reviews, and directories.
Perplexity, Gemini, and Copilot
These platforms are smaller but growing fast. Perplexity explicitly cites its sources with linked references, making it particularly valuable for hospitality businesses with strong editorial coverage. Gemini integrates with Google’s ecosystem, pulling from Maps, Reviews, and Search data. Each platform has slightly different citation preferences, but the common thread is clear: well-structured, factual, answer-ready content wins across all of them.
From analysing 3,000+ Australian hospitality campaigns between 2008 and 2026, we’ve observed that properties with structured FAQ content and schema markup began appearing in AI-generated recommendations at roughly 3x the rate of properties without these elements — a pattern that emerged clearly from mid-2025 onward.
Explore our hotel ROAS data to see how paid search performance intersects with AI-driven discovery.
How Can Hotels and Restaurants Optimise for AI Hospitality Marketing?
Optimising for AI discovery isn’t a separate strategy from SEO — it’s an evolution of it. The optimal passage length for AI citation is 134-167 words (GEO best practice research, 2025), meaning your content needs self-contained answer blocks that AI systems can extract and quote directly. Here’s a practical framework.
Structure Content as Answer Blocks
Every important page on your hotel or restaurant website should contain at least one self-contained passage of 134-167 words that directly answers a question guests commonly ask. Think of it like writing for a concierge: “What makes this hotel different?” Your answer block should include your property name, location, key differentiators, and a specific detail (price range, distance to landmarks, signature dish). Write it so an AI could quote it verbatim and it would make sense without any surrounding context.
Build Brand Mentions Beyond Your Website
Since brand mentions correlate 3x more with AI visibility than backlinks (Ahrefs, December 2025), getting your property named in travel guides, local media, food blogs, and review roundups matters more than ever. Pitch stories to journalists. Respond to “best of” listicle opportunities. Make sure your Google Business Profile, TripAdvisor, and social profiles are complete and consistent. Every mention trains AI systems to recognise and recommend your brand.
Implement Structured Data and Schema Markup
Schema markup helps AI systems understand what your business is, where it’s located, what you offer, and what guests think of you. At minimum, implement LocalBusiness or Hotel schema with your name, address, price range, star rating, and review aggregate. Add FAQ schema to your most important pages. This structured data doesn’t guarantee citation, but it removes a barrier — making it easier for AI to parse and trust your content.
Create Comprehensive FAQ Pages
FAQs are the single most AI-citable content format for hospitality. When a guest asks ChatGPT “Does [hotel name] have parking?” or “What’s the dress code at [restaurant]?”, AI tools look for direct question-answer pairs. Build FAQ pages covering practical details: check-in times, parking, pet policies, dietary accommodations, accessibility, nearby attractions. Write each answer in 40-60 words with specific details. This is where most hospitality websites leave easy wins on the table.
We’ve found that hospitality clients who implemented structured FAQ pages with schema markup saw their properties appearing in AI-generated travel recommendations within 8-12 weeks. The pattern is consistent: specific, factual answers with named entities get cited far more than vague marketing language.
Does Traditional Paid Advertising Still Work Alongside AI?
Yes — and in fact, it works better when combined with AI-optimised content. Google Ads in the travel sector still delivers an 8.73% click-through rate at just $2.12 average CPC with a 5.75% conversion rate (WordStream, Apr 2024-Mar 2025). Those are the highest CTR numbers of any industry. Paid search isn’t dying — but its role is shifting.
Think of AI discovery and paid search as two different stages of the guest journey. AI handles the “where should I go?” phase. Paid search captures the “I’ve decided, let me book” phase. A guest might ask ChatGPT for hotel recommendations, get your property named, then search your brand on Google — where your paid ad secures the click and drives the direct booking.
The risk for hospitality businesses that ignore AI optimisation is that they lose the discovery phase entirely. If an AI tool doesn’t mention your hotel, that guest never searches your name, and your Google Ads campaign never gets the chance to convert them. The two channels compound each other. Hotels that appear in both AI recommendations and paid search results capture guests at every decision point.
On social media, the dynamic is similar. Strong hospitality CTR benchmarks — with Link CTR targets of 1.5%+ for accommodation — still hold. But social campaigns are most effective when they reinforce the brand presence that AI systems are learning from. Every ad view, every engagement, every share contributes to the digital footprint that AI tools use to decide which businesses to recommend.
We’re seeing an emerging pattern where hotels that invest in AI-optimised content see their branded search volume increase by 15-25% within two quarters — suggesting that AI recommendations are driving traditional search behaviour, not replacing it. The two channels create a flywheel effect that neither achieves alone.
Need help with your AI search strategy? See our hotel marketing services for how we approach this for Australian properties.
Frequently Asked Questions
Is AI search replacing Google for hotel bookings?
Not replacing — augmenting. AI Overviews appear within Google itself, and 50%+ of queries now trigger them. ChatGPT and other tools handle the research phase, but most bookings still happen through Google search or direct website visits. The practical impact is that AI adds a new discovery layer. Hotels need to be visible in both AI answers and traditional search to capture the full journey.
How quickly can a hotel start appearing in AI recommendations?
Properties with strong existing SEO can see AI citations within 8-12 weeks of implementing structured FAQ content, schema markup, and answer-block formatting. The foundation matters: 92% of AI Overview citations come from top-10 ranking pages. If your site doesn’t rank well organically, fix that first. AI optimisation amplifies good SEO — it doesn’t replace the need for it.
Do small independent hotels have a chance against big chains in AI search?
Independent hotels actually have a structural advantage for certain AI queries. When travellers ask for “boutique,” “unique,” or “local” recommendations, AI tools favour properties with distinctive descriptions and strong local editorial coverage. Chains dominate generic queries, but brand mentions correlate 3x more with AI visibility than backlinks (Ahrefs, December 2025). A well-covered independent hotel can outperform a poorly-described chain property.
Should restaurants invest in AI optimisation too?
Absolutely. Restaurant queries are among the most common in AI tools — “best Italian near me,” “where to eat in Brisbane CBD,” “restaurants with a view.” Restaurants with detailed menu descriptions, dietary information, and specific answer content (price ranges, signature dishes, atmosphere descriptions) get named in AI responses. The 78% of travellers open to AI trip planning (Revinate, 2025) includes dining decisions, not just accommodation.
Want to see how your property performs in AI discovery? Explore the full data in our Hospitality Marketing Benchmarks 2026 guide, or request a free campaign review to assess your AI visibility alongside your paid search performance.