The digital landscape for tourism marketing has always been fiercely competitive, but today it’s undergoing the most profound transformation in a generation. What has changed is where the planning happens. AI platforms such as ChatGPT, Claude, and Perplexity are no longer just information retrieval tools; they specialize in crafting personalized itineraries. This evolution presents a challenge to Google’s search volume. In response, Google has integrated generative AI into its Search Engine Results Page (SERP), launching AI Overviews and a conversational AI Mode, which are altering user behaviour.

Instead of clicking through a list of blue links, users now see rich, AI-generated summaries that answer complex travel questions and can even generate the itinerary. The SERP isn’t just a directory anymore; it is the destination. 

These integrations push both paid and organic listings down, and in many cases, the journey ends within the AI Overview or AI Mode, before users ever reach a website. The new “top of page” may soon be inside these AI responses. For an ad to show up, Google now expects campaigns that understand messy, conversational queries. Think broad match and keywordless targeting. If you’re running strict exact-only campaigns, you’ll qualify less often and lose ground when it matters. To help brands adapt, Google has introduced AI Max for Search campaigns. This strategic upgrade is essential for capturing moments of high user intent in this new era, serving as the “ticket to entry” for the next generation of search advertising.

What is AI Max for Search?

AI Max is an opt-in layer that sits on a standard Search campaign. Instead of relying on exact-match keywords, it understands the related, natural-language questions users ask while planning trips. This includes everything from “best rainy-day activities with kids in Calgary” to “what are the best hotels with pools that are located in a quiet neighbourhood but near downtown, with less than 20 minutes drive from YYC Airport?”. It can also draft ad text to match those questions and route the click to the most relevant page on your site. In short, it provides more help in understanding intent and requires less time spent guessing every possible phrase.

The Upside: Where it Helps

• Relevance During Messy Planning: Travel planning rarely fits a neat keyword list. AI Max is designed to meet longer, conversational searches with ads that feel closer to the question asked and with landing pages that actually match what the user had in mind. For example, if a user searches for “are there any challenging black diamond ski runs near Calgary?” AI Max can show an ad with the headline “Challenge Our Double-Black Diamond Ski Slopes” and direct them to the resort’s advanced trail map page. 
• Gentle Learning Curve: Because AI Max is layered onto a Search campaign, it doesn’t require a wholesale rebuild. You keep what is working and let the AI add coverage where it sees a good match. It leverages generative AI for “Asset Optimization” and “text customization” to create and customize ad headlines dynamically.
• Improved Transparency and Control: AI Max significantly enhances transparency and offers granular controls, moving beyond the “black box” nature of previous automated solutions. Advertisers can review the search terms report to gain clearer insights into actual search queries, the specific headlines that appeared, and the landing page used. Additionally, advertisers can filter keyword, landing page, and asset reports to see AI Max-specific performance. Advertisers can also implement brand settings to include or exclude specific brands and use a “Location of Interest” setting for refined geographical targeting. Advertisers also have the power to control the Final URL Expansion by excluding or including specific URLs, or even turning the feature off.

The Friction: Where It Falls Short

• Reduced Keyword Control: By design, AI Max stretches beyond explicitly set keywords. This can feel like a loss of precision for advertisers, especially those accustomed to strict control over every match. It is a trade-off: more reach into natural language for less precision over every edge case.
• Risk of Brand Tone Mismatches: Auto-generated headlines can occasionally miss tone or sensitivity. Despite its sophistication, generative AI lacks human nuance and a deep understanding of a specific brand’s voice. There’s a risk of an “off-brand” ad slipping through, where the AI might generate phrasing that doesn’t align with a brand’s established tone. For example, a luxury resort needs to prevent the AI from generating overly casual or discount-focused language that could dilute its premium positioning. Similarly, businesses in sensitive industries like legal or medical fields might find this dependency on AI risky if a mistake in ad copy could be costly.
• Potential for Inaccurate Landing Page Selections: Dynamic landing page choices can sometimes select a page that is not the best sales path, especially if a website has thin content. The AI might inadvertently send users to an old blog post or an expired event page if it perceives it as highly relevant to their query. The better the content foundation, the better the outcomes.
• Overlap with Other Automations: If you already rely on other automated campaign types like Performance Max, you may see some cross-over in the searches catered by the campaigns, which can result in inflated Cost per Click and complicate conversion attribution.

What We’re Seeing So Far

AI Max is currently being tested on our accounts with some limitations. Early results are mixed, showing slightly improved engagement in certain cases and better cost efficiency in others. We have observed that value-based bidding plays a key role in enhancing performance. A value-defined conversion action helps the campaign learn what motivates the audience to take the most meaningful actions. This can accelerate learning, allowing the system to distinguish between high- and low-value audiences. As our confidence in AI Max grows, we plan to expand testing with more automation for our clients.

Bottom Line

AI Max reflects where search is headed: fewer rigid keywords, more natural language planning, and a results page that does more of the work. In tourism, that can mean ads that better match how people actually plan their trips. Our early read is that while results are mixed, the system tends to prioritize higher-quality outcomes when conversion value is clearly defined. It is worth watching, not crowning.

As the SERP continues to evolve, the tools built for conversational search will likely matter more. The real test is not just whether it converts, but whether it delivers the actions that matter most, especially when the stakes are higher, such as during high season, reservations within short windows, and engagement from valuable customers.