Author: findtheethos

  • Marketing Needs a New Operating System

    Author: John Hall
    John Hall is the founder of Find The Ethos Marketing and a certified Answer Engine Optimization (AEO) specialist, helping brands stay discoverable as AI reshapes how customers search and decide.

    I recently retired my iPhone SE, which I’d had for four years. It still worked: I could text, I could call, and it invoked plenty of mocking from my nieces and nephews. It wasn’t that it stopped functioning. It just wasn’t efficient anymore. The battery didn’t hold a charge like it used to, apps stopped updating properly, and websites wouldn’t respond to queries the way they should have. The operating system was still technically functional. It just wasn’t effective.

    My old iPhone SE is a pretty good analogy for marketing today.

    If you’re still building campaigns around traditional customer journeys, running drive-to-website strategies, not connecting your data and content to how AI systems now read it, and ignoring structured data, you’re running a marketing playbook on an old operating system. One designed for a bygone era of marketing.

    As I help clients navigate the quagmire of AI, I see how overwhelming it can seem. It is that big. But the truth is simple: if you’re not using AI, and you haven’t restructured your marketing and how you go to market, you’re losing business.

    What running on the old operating system actually looks like

    It’s not just a feeling. The data backs it up. More than two in three searches now end without a single click to a website, answered instead by AI directly. Google is embedding hotel bookings, flight comparisons, and product recommendations directly into AI Mode. ChatGPT now runs paid ads, with brands already bidding for visibility inside conversational answers. TikTok has turned short-form video into a direct booking and buying channel. None of this is speculative. It’s already live, and it’s already reshaping how your customers find you, or don’t.

    If your marketing team is still measuring success the way it did five years ago (last-click attribution, funnel-stage reporting, campaign-by-campaign thinking), you’re measuring a version of the world that no longer exists.

    The new operating system isn’t a tactic. It’s a system.

    This is where most organizations get it wrong. They treat AI as a tool to bolt onto the existing playbook: a chatbot here, an AI-written blog post there, instead of recognizing that the underlying system needs to change.

    A real operating system upgrade means rethinking four things together, not separately:

    • Diagnosis. Understanding, honestly, how your current marketing is performing against how people and AI systems actually search, compare, and decide today, not how they did it in 2019.
    • Strategy. A clear plan built on that diagnosis, not a set of disconnected tactics chasing whatever the algorithm rewards this quarter.
    • Discoverability infrastructure. The structured data, content architecture, and signal clarity that let AI systems find, trust, and accurately represent your brand: the parts most companies skip because they’re unglamorous.
    • Activation and measurement. Paid, organic, and content working together, with results measured against how decisions are actually being made now, not legacy funnel metrics.

    Skip any one of those, and you end up with exactly what I had with my old phone: something that technically works, but is quietly falling behind every day you don’t upgrade it.

    The cost of waiting

    The uncomfortable part of this analogy is that a phone degrades slowly enough that you don’t notice until it’s frustrating. Marketing built on an outdated operating system does the same thing. Leads get a little softer. Paid gets a little more expensive. Good work doesn’t surface the way it used to. None of it looks like a crisis, until you add it up.

    The organizations getting ahead right now aren’t the ones with the biggest budgets. They’re the ones treating this as a system-level problem instead of a tactics problem, and fixing the operating system before their competitors do.

    FAQ

    What does “marketing operating system” actually mean? It’s the underlying strategy, structure, and infrastructure that determines whether your marketing works, as distinct from individual campaigns or tactics. A strong operating system means your strategy, discoverability, and activation all work together instead of pulling apart.

    How do I know if my marketing is running on an outdated operating system? Common signs: you’re working harder for the same results, your reporting still revolves around old funnel metrics, and important questions about your brand are being answered elsewhere (by AI, by reviews, by competitors) before people ever reach you.

    Is this really about AI, or something bigger? Both. AI is the immediate catalyst, but the deeper shift is in how people search, compare, and decide. AI is simply making that shift impossible to ignore.

    Closing: If your marketing feels like my old iPhone SE (still working, just not like it used to), that’s exactly what our Marketing Operating System Analysis is built to diagnose. Start a conversation.

  • How AI Is Changing Hotel Bookings, Search, and Direct Distribution

    Author: John Hall
    John has been a leading destination marketer for over 25 years, helping further the visitor economy for communities throughout British Columbia.

    Executive Summary

    • AI is reshaping hotel distribution by moving discovery, comparison, and booking closer together across Google, ChatGPT, and TikTok.
    • OTAs are entering these new AI surfaces early, bringing their paid-media scale into conversational and in-feed booking environments.
    • Google is becoming an agentic booking layer, influencing hotel choice and enabling direct transactions inside AI Mode.
    • Marriott’s Google integration shows how major hotel brands may reduce OTA dependency by connecting directly into AI-led discovery and booking flows.
    • TikTok GO shows that travel search is now multi-modal, with users able to discover and book from short-form video without returning to a traditional search engine.
    • Hotels that depend heavily on organic search traffic face a growing zero-click problem as AI answers replace link-based journeys.
    • Chains and independent hotels both need structured data, strong review signals, and machine-readable content to stay visible in emerging AI interfaces.

    AI and Hotel Bookings

    AI is changing hotel bookings by rebuilding the path between traveller intent and conversion. Instead of moving from Google to an OTA to a hotel site, more travellers are now discovering, comparing, and sometimes booking inside AI interfaces and social platforms themselves.

    For hotels, this is not just a marketing shift. It is a distribution shift. The platforms that control discovery are becoming the platforms that influence transaction, and in some cases process it directly.

    Why Hotel Search Is Changing

    For years, hotel distribution followed a relatively stable pattern. A guest searched on Google, clicked into an OTA or brand site, compared options, and booked. That model was expensive and imperfect, but it was familiar.

    That pattern is now breaking down. AI-generated answers, embedded hotel listings, conversational interfaces, and social commerce are collapsing what used to be a multi-step journey into a single interaction. The old funnel is being replaced by dynamic, platform-native booking flows.

    ChatGPT Ads and the New Travel Auction

    OpenAI has introduced a cost-per-click ad model inside ChatGPT, using the same performance logic travel marketers already know from Google Ads. Early travel placements showed OTAs moving quickly, with Expedia among the early advertisers testing ChatGPT’s ad platform against prompts like last-minute getaways and romantic travel planning.

    That matters because it signals a repeat of the last platform transition. OTAs are once again arriving early, learning fast, and using budgets most independent hotels cannot match. If conversational interfaces become an important planning layer, paid placement inside AI responses may become a new battleground for travel demand.

    Google AI Mode and Hotel Discovery

    Google has been building toward this longer than many hoteliers realize. Its AI Mode travel planning tools (including a feature called Canvas) let travellers describe a trip and get back a custom itinerary with flight and hotel options, keeping users inside Google’s environment longer and reducing the need to click out.

    Google has also been clear about its strategic position. It does not need to become an OTA if it can remain the layer between traveller intent and booking action. In that role, it can shape visibility, influence booking flow, and monetize the decision point without owning the stay itself.

    What the Google Marriott Agreement Means

    The Google-Marriott agreement is one of the clearest signs yet that AI platforms are becoming transaction infrastructure, not just discovery tools. Marriott confirmed it is building a direct integration into Google’s AI Mode, allowing users to search in natural language, compare relevant Marriott options, and complete a reservation inside the AI experience.

    That changes the economics of direct booking for major brands. Instead of relying entirely on the traditional search-result click path, Marriott can appear inside a conversational journey and close the booking without forcing the traveller through multiple redirects.

    How the Marriott booking flow works. A user can enter a request such as a Marriott in Chicago for two nights near the Riverwalk with a fitness centre. Google AI Mode can then interpret the request, surface relevant room options, compare pricing and amenities, and support the booking flow inside the experience.

    This is important because it reflects a new booking interface built around intent rather than category pages. The traveller does not browse in the old sense. The system assembles a relevant set of options based on a prompt.

    Why the Marriott deal matters for the industry. For large hotel groups, this kind of integration offers a potential path to reduce OTA leakage and capture more direct demand inside emerging AI channels. For smaller brands and independent hotels, it raises a harder question: if major chains are integrated directly into AI discovery layers, what happens to properties that are not?

    The risk is not only losing market share to Marriott. The deeper risk is becoming less visible inside the next generation of travel search, where structured data, technical integration, and platform relationships may matter as much as brand advertising.

    Zero-Click Search and Hotel Website Traffic

    One of the most important shifts is happening before a booking session even starts. More than two in three searches now end without a click because users get enough information from AI Overviews, summaries, and featured results directly on the search page.

    For hotels, that weakens direct booking strategies that depend on organic traffic. By the time a traveller reaches a hotel website, much of the evaluation may already be complete. In some cases, the booking path may never include the hotel site at all.

    TikTok GO and Multi-Modal Travel Search

    TikTok GO may be the strongest example of how hotel discovery is becoming multi-modal. The feature allows users to discover hotels, attractions, and experiences through short-form video, search, and location pages, then move directly into booking without leaving the app.

    That is a major structural change. Inspiration, evaluation, and transaction now happen in the same environment. The user may never return to Google, and the hotel may never get a traditional website visit before conversion.

    Why TikTok matters for hotel distribution. Hotels have often treated TikTok as a top-of-funnel branding channel. TikTok GO challenges that assumption by turning creator content and destination inspiration into a transactional surface.

    It also introduces a creator-led commerce layer, where influencers can connect content to bookable inventory. That means some of the most effective travel storytellers are no longer just shaping desire. They are shaping conversion.

    Why search is now multi-modal

    Travel search is no longer just typed text in a browser. It now includes conversational AI, short-form video, platform-native recommendations, maps, reviews, and increasingly direct booking tools embedded inside those surfaces.

    That means hotels need to think beyond classic SEO. Visibility now depends on whether content, data, and property attributes can be understood and surfaced across multiple discovery formats.

    What Hotel Brands Should Do Next

    Hotel brands should treat their entire property offering as machine-readable inventory. That includes rooms, amenities, dining, spa, loyalty benefits, location context, and local experiences.

    The more structured and current that information is, the more usable it becomes for AI systems building itineraries and recommendations. Hotels that are easiest for machines to interpret may gain an early visibility advantage.

    What Independent Hotels Should Prioritize

    Independent hotels do not have the same leverage as global chains, but they are not shut out. In many cases, they can move faster.

    The priorities are straightforward: clean structured data, strong and recent reviews, clear positioning, current photography, and website copy that reflects how travellers actually search. The window to build discoverability in these systems still exists, but it will not stay open forever.

    Key Takeaways for Hotel Marketers

    • AI is changing not just hotel marketing but the structure of hotel distribution.
    • Google, ChatGPT, and TikTok are all competing to own more of the discovery-to-booking journey.
    • Marriott’s Google integration shows how direct booking may evolve inside AI interfaces.
    • TikTok GO proves that hotel search is now multi-modal and increasingly transactional.
    • Organic website traffic is under pressure as zero-click behavior expands.
    • Hotels that want to stay visible need structured data, strong reputation signals, and content designed for both humans and machines.

    FAQ

    How is AI changing hotel bookings? AI is compressing the travel journey by helping users discover, compare, and sometimes book hotels directly inside conversational, search, and social interfaces.

    What is TikTok GO for travel? TikTok GO is an in-app travel booking feature that allows users to discover and reserve hotels, attractions, and experiences inside TikTok.

    Why does the Marriott Google deal matter? It shows how a hotel brand can connect directly into an AI-led booking environment, potentially reducing friction and capturing more direct demand.

    What does multi-modal search mean for hotels? It means travellers no longer discover hotels only through typed Google searches. Discovery now happens across AI chat, video, maps, social content, and embedded booking experiences.

    Closing: This is exactly the kind of shift our Marketing Operating System Analysis is built for. Start a conversation.

    Sources