{"id":86431,"date":"2026-05-19T11:12:45","date_gmt":"2026-05-19T09:12:45","guid":{"rendered":"https:\/\/www.makingscience.com\/?p=86431"},"modified":"2026-09-22T11:14:18","modified_gmt":"2026-09-22T09:14:18","slug":"the-end-of-keywords-how-ai-assistants-will-replace-search-ads","status":"publish","type":"post","link":"https:\/\/www.makingscience.com\/en\/blog\/the-end-of-keywords-how-ai-assistants-will-replace-search-ads\/","title":{"rendered":"The End of Keywords? How AI Assistants Will Replace Search Ads"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">You&#8217;re late for a meeting, and you desperately need a coffee. Do you meticulously type &#8220;<\/span><i><span style=\"font-weight: 400;\">best-rated independent coffee shop near me open now<\/span><\/i><span style=\"font-weight: 400;\">&#8221; into a search bar? Or do you simply ask your phone, &#8220;<\/span><i><span style=\"font-weight: 400;\">Hey, where can I get a great coffee, like, right now?<\/span><\/i><span style=\"font-weight: 400;\">&#8221; and trust the friendly voice to guide you?<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Welcome to the age of instant answers. We&#8217;ve outsourced our impatience to AI assistants like Gemini, ChatGPT, and Claude. We want information served up on a silver platter \u2014 quick, clear, and without the tedious effort of actually <\/span><i><span style=\"font-weight: 400;\">searching<\/span><\/i><span style=\"font-weight: 400;\">. This shift in human behavior isn&#8217;t just changing how we find a good latte; it&#8217;s sending shockwaves through the world of paid advertising. As AI-powered answers become the norm, the familiar ground of keyword bidding is starting to feel a lot less stable. For us Paid Search Managers, this isn&#8217;t a distant threat; it&#8217;s the new reality knocking at our office door. But is it an apocalypse or an opportunity? Let&#8217;s find out.<\/span><\/p>\n<h3><b>Part 1: The good old days of keyword herding and its limits<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Remember when our lives revolved around Excel sheets filled with thousands of keywords? We were digital librarians, meticulously curating lists of broad, phrase, and exact match terms. We obsessed over every &#8220;<\/span><i><span style=\"font-weight: 400;\">KTV Karaoke in Soho<\/span><\/i><span style=\"font-weight: 400;\">&#8221; and &#8220;<\/span><i><span style=\"font-weight: 400;\">best nude matte lipstick<\/span><\/i><span style=\"font-weight: 400;\">&#8220;, believing that with enough granularity, we could capture every possible user query. It was a game of precision, control, and endless A\/B testing of ad copy.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">But let&#8217;s be honest, it was a flawed system.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This manual approach had its limits:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>The long-tail blind spot<\/b><span style=\"font-weight: 400;\">: We could never keep up with the sheer volume of unique, conversational search queries. As Google has noted for years, <\/span><a href=\"https:\/\/www.thinkwithgoogle.com\/consumer-insights\/consumer-trends\/meeting-consumer-needs-with-search\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">15% of queries every day are new searches they&#8217;ve never seen before<\/span><\/a><span style=\"font-weight: 400;\">. This manual, keyword-first approach meant we were constantly missing a growing segment of user intent.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>The intent guessing game<\/b><span style=\"font-weight: 400;\">: A keyword is just a clue, not the full story. We were constantly trying to infer the user&#8217;s true intent, and often getting it wrong.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>The burnout<\/b><span style=\"font-weight: 400;\">: The sheer effort of managing these sprawling campaigns was immense. It was a reactive, often exhausting, process of plugging leaks in a dam that was constantly springing new ones.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">We were playing checkers while our users started playing 3D chess with their search behavior.<\/span><\/p>\n<h3><b>Part 2: The AI tsunami and the challenges it brings<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Enter the AI revolution. Platforms are no longer just matching words; they&#8217;re interpreting intent. With assistants like <\/span><b>Copilot<\/b><span style=\"font-weight: 400;\"> in Microsoft Advertising and <\/span><b>Gemini<\/b><span style=\"font-weight: 400;\"> powering Google&#8217;s ad stack, the game has fundamentally changed.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In Google&#8217;s ecosystem, this shift is most visible in two key areas: <\/span><b>Performance Max<\/b><span style=\"font-weight: 400;\"> and the recent upgrades to standard Search campaigns with <\/span><b>AI Max for Search<\/b><span style=\"font-weight: 400;\">. This isn&#8217;t a new campaign type, but an optimisation layer that infuses traditional Search with PMax-style AI. The engine behind this, Gemini, can now understand long, complex queries and match ads based on inferred intent, not just keyword syntax, to improve two main things:<\/span><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Search term matching<\/b><span style=\"font-weight: 400;\">: It moves beyond keyword syntax to match your ads to queries based on the <\/span><i><span style=\"font-weight: 400;\">inferred intent<\/span><\/i><span style=\"font-weight: 400;\"> of the user.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Asset optimisation<\/b><span style=\"font-weight: 400;\">: It dynamically customises your ad copy and can even expand your final URL to a more relevant landing page on your site.<\/span><\/li>\n<\/ol>\n<p><span style=\"font-weight: 400;\">This presents several challenges:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Shrinking visibility &amp; plummeting CTRs<\/b><span style=\"font-weight: 400;\">: The most immediate impact is the rise of the &#8220;zero-click&#8221; search. AI overviews answer user questions directly on the SERP<\/span><span style=\"font-weight: 400;\">, meaning there&#8217;s less reason to click. Studies show this can reduce click-through rates by 8 to 12 percentage points, a staggering 20\u201340% relative drop. Ads are simply being seen and clicked less.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>The great ad placement shuffle<\/b><span style=\"font-weight: 400;\">: Ads are being pushed around. As Google&#8217;s AI Overviews prioritise direct answers, ads are often relegated below the fold, especially for longer, more descriptive queries. The top spot isn&#8217;t what it used to be.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>The CPC paradox<\/b><span style=\"font-weight: 400;\">: While CTRs may fall, the clicks we <\/span><i><span style=\"font-weight: 400;\">do<\/span><\/i><span style=\"font-weight: 400;\"> get are often from users with higher intent who didn&#8217;t get their full answer from the AI. This leads to better-qualified traffic, but also more intense competition and higher cost-per-click for those valuable top spots.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>From keywords to &#8220;intent layers&#8221;<\/b><span style=\"font-weight: 400;\">: As Google Ads Product Liaison Ginny Marvin explained<\/span><span style=\"font-weight: 400;\">, keywords are now just one of many signals. The system&#8217;s ability to understand a user&#8217;s goal makes our granular keyword lists less and less effective. The AI is now the one making the connection between a query and an ad.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>The black box problem<\/b><span style=\"font-weight: 400;\">: With AI making more decisions about ad serving and asset combination \u2014 especially in PMax, which runs across all of Google&#8217;s channels \u2014 there&#8217;s a growing sense of opacity. We provide the ingredients (assets, landing pages, audience signals), but the AI is the chef, and it doesn&#8217;t always share its recipe.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">The ground has shifted from &#8220;gaming the system&#8221; with keywords to genuinely &#8220;being the best answer&#8221; for a user&#8217;s underlying need. The impact isn&#8217;t uniform. The auto industry sees volatility as AI tries to answer complex, feature-based queries. Meanwhile, sectors like legal and finance face a direct threat as AI becomes capable of answering complex informational questions, potentially disintermediating them entirely.<\/span><\/p>\n<h3><b>Part 3: Ride the wave with key strategies to embrace AI in PPC<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Fearing AI is like being angry at the tide. It\u2019s coming, whether we like it or not. The good news is, we can learn to surf. Here are the key strategies to not just survive, but thrive in the age of AI-powered paid search.<\/span><\/p>\n<h4><b>Strategy 1: Feed the machine (the AI-Max approach)<\/b><\/h4>\n<p><span style=\"font-weight: 400;\">The first strategy is to embrace the tools the platforms give you. The advantage of AI-Max is its ability to expand your reach and find new pockets of relevant customers you might have missed, all while (ideally) maintaining your CPA or ROAS goals. It takes the manual labor out of chasing the long tail.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">However, its primary limitation is that it\u2019s only as good as the ingredients you provide. If your creative assets are weak or your landing pages are not well-optimised, the AI has little to work with. It automates the <\/span><i><span style=\"font-weight: 400;\">matching<\/span><\/i><span style=\"font-weight: 400;\">, but it doesn&#8217;t solve the foundational challenge of <\/span><i><span style=\"font-weight: 400;\">creating<\/span><\/i><span style=\"font-weight: 400;\"> highly relevant, granular ad variations at scale. For businesses with vast inventories or complex service offerings, this can still be a major hurdle.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Here are the key steps to succeed:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Leverage Broad Match &amp; Smart Bidding<\/b><span style=\"font-weight: 400;\">: This is non-negotiable. Use Google&#8217;s automation to your advantage. Trust that modern Broad Match, paired with a ROAS or tCPA bidding strategy, is far more intelligent at identifying relevant traffic than manually curated keyword lists.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Focus on high-intent keywords<\/b><span style=\"font-weight: 400;\">: Lean into queries where AI is less likely to provide a complete, satisfying answer. These are often commercial-intent keywords that signal a user is ready to buy, book, or sign up, rather than just researching.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Build richer ads<\/b><span style=\"font-weight: 400;\">: In a more crowded, visually dynamic space, your ads must work harder. Use rich ad extensions \u2014 sitelinks, images, callouts, structured snippets \u2014 to provide more information at a glance and maximise your SERP real estate.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">AI is only as smart as the data it&#8217;s given. Your new job is to be a master purveyor of high-quality &#8220;ingredients.&#8221; For <\/span><b>Lead Gen<\/b><span style=\"font-weight: 400;\">, focus on assets and conversion data (with Enhanced Conversion for Leads); Without this, the AI might just optimise for cheap form fills. For <\/span><b>Retail<\/b><span style=\"font-weight: 400;\">, a flawless product feed is your best asset! Use lifestyle imagery and focus on ROAS to tell the AI to find customers who not only buy, but who spend more.<\/span><\/p>\n<h4><b>Strategy 2: Own the Machine (The AdMachina Solution)<\/b><\/h4>\n<p><span style=\"font-weight: 400;\">What if, instead of just feeding the machine, you could command an entire factory? This is where technology like <\/span><b>AdMachina<\/b><span style=\"font-weight: 400;\">, a proprietary AI solution from Making Science, comes into play.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">As explained in the article &#8220;<\/span><a href=\"https:\/\/www.makingscience.com\/blog\/admachina-la-ia-que-crea-y-optimiza-campanas-de-google-ads\/\"><i><span style=\"font-weight: 400;\">AdMachina, the AI that creates and optimises Google Ads campaigns<\/span><\/i><\/a><span style=\"font-weight: 400;\">&#8220;<\/span><span style=\"font-weight: 400;\">, AdMachina is not just an optimisation layer; it&#8217;s a campaign generation engine. It connects directly to a business&#8217;s data sources \u2014 be it a product feed, an internal API, or a CRM \u2014 and uses that data to automatically create, manage, and optimise thousands of hyper-granular ad groups and ads.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">How it works and its advantages:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Hyper-granularity at scale<\/b><span style=\"font-weight: 400;\">: AdMachina builds campaigns with a one-to-one structure: one keyword, one ad, one landing page. This achieves maximum Quality Score and relevance, a feat that is impossible to do manually for thousands of products or services.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Real-time synchronisation<\/b><span style=\"font-weight: 400;\">: If a product&#8217;s price or stock changes, AdMachina automatically updates the ad copy or pauses the ad group. This eliminates wasted ad spend on out-of-stock items and ensures ad compliance.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Control and transparency<\/b><span style=\"font-weight: 400;\">: Unlike the &#8220;black box&#8221; nature of some AI tools, AdMachina provides full transparency. The campaigns it builds are visible and fully under your control within your Google Ads account. You see exactly what&#8217;s being created.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">While any business can benefit from automation, the perfect profile for AdMachina is an advertiser with complexity and scale. For such businesses, AdMachina turns a massive operational challenge into a powerful competitive advantage:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Large e-commerce &amp; retail<\/b><span style=\"font-weight: 400;\">: Businesses with thousands of SKUs, where manual campaign creation is impossible.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Travel &amp; Real Estate<\/b><span style=\"font-weight: 400;\">: Companies with constantly changing inventory (flights, hotels, properties).<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Classifieds &amp; marketplaces<\/b><span style=\"font-weight: 400;\">: Platforms that need to generate ads for thousands of individual user-generated listings.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">The limitation? AdMachina requires a structured data source to work its magic. It&#8217;s not a fit for a small local business with five services. But for businesses whose data is their lifeblood, it turns a massive operational challenge into a powerful competitive advantage.<\/span><\/p>\n<h3><b>Conclusion<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">The end of keywords is not the end of paid search. It&#8217;s a transformation. It marks the end of the <\/span><b>PPC <\/b><b><i>mechanic<\/i><\/b><span style=\"font-weight: 400;\"> and the rise of the <\/span><b>PPC <\/b><b><i>strategist<\/i><\/b><span style=\"font-weight: 400;\">. Our role is evolving from repetitive manual tasks to a more strategic, holistic function focused on understanding the customer journey, creating high-value content, and feeding the AI the best possible data.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">AI is not here to take our jobs; it&#8217;s here to take our boring tasks. By embracing this change, we can free ourselves from the tyranny of the keyword list and focus on what truly matters: delivering value to our audience and driving better results for our businesses. So, take a deep breath. The future of search is not something to be feared \u2014 it&#8217;s something to be built.<\/span><\/p>\n<h3><b>Frequently Asked (and feared) Questions<\/b><\/h3>\n<p>&nbsp;<\/p>\n<ul>\n<li aria-level=\"1\"><b>Will I lose all control over my campaigns?<\/b><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">You&#8217;ll lose <\/span><i><span style=\"font-weight: 400;\">granular<\/span><\/i><span style=\"font-weight: 400;\"> control but gain <\/span><i><span style=\"font-weight: 400;\">strategic<\/span><\/i><span style=\"font-weight: 400;\"> influence. Instead of micromanaging keywords, you&#8217;ll be guiding the AI by providing the best possible assets, landing pages, and business data. Your control shifts from the &#8220;how&#8221; to the &#8220;what&#8221; and &#8220;why.&#8221;<\/span><\/p>\n<ul>\n<li aria-level=\"1\"><b>How do I compete if my ads are pushed below AI Overviews?<\/b><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">The goal is to be <\/span><i><span style=\"font-weight: 400;\">cited<\/span><\/i><span style=\"font-weight: 400;\"> within the AI Overview. This happens when your content is deemed authoritative and directly answers the user&#8217;s question. Furthermore, Google has confirmed that ads are a core part of this new experience and will continue to appear in various slots within and around AI Overviews.<\/span><\/p>\n<ul>\n<li aria-level=\"1\"><b>Is Broad Match still a budget-killer?<\/b><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Not like it used to be. Modern Broad Match, combined with smart bidding and powered by models like Gemini, is far more sophisticated. It&#8217;s less about syntactic matches and more about understanding the user&#8217;s ultimate goal, leading to more relevant, albeit sometimes unexpected, query matches.<\/span><\/p>\n<ul>\n<li aria-level=\"1\"><b>How can I ensure AI optimises for lead <\/b><b><i>quality<\/i><\/b><b>, not just quantity?<\/b><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Data is your best friend. As Google&#8217;s official guidance states, the more high-quality conversion data you share, the better. By implementing full-funnel conversion tracking, assigning values to different types of conversions (a &#8220;<\/span><i><span style=\"font-weight: 400;\">demo request<\/span><\/i><span style=\"font-weight: 400;\">&#8221; is more valuable than a &#8220;<\/span><i><span style=\"font-weight: 400;\">newsletter signup<\/span><\/i><span style=\"font-weight: 400;\">&#8220;), and feeding this data back into the ad platforms, you teach the AI what a high-quality lead looks like.<\/span><\/p>\n<ul>\n<li aria-level=\"1\"><b>If AI Max and Performance Max overlap, which one wins?<\/b><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">The ad with the highest Ad Rank wins. Google&#8217;s system will select the ad \u2014 whether from a Search or PMax campaign \u2014 that it predicts will be most relevant and performant for that specific auction. You can use brand settings to keep your branded search traffic separate if needed.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>You&#8217;re late for a meeting, and you desperately need a coffee. Do you meticulously type &#8220;best-rated independent coffee shop near me open now&#8221; into a search bar? Or do you simply ask your phone, &#8220;Hey, where can I get a great coffee, like, right now?&#8221; and trust the friendly voice to guide you? Welcome to [&hellip;]<\/p>\n","protected":false},"author":21,"featured_media":57764,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[806,863,882],"tags":[],"class_list":["post-86431","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-advertising-en","category-marketing-en","category-performance-en"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.makingscience.com\/en\/wp-json\/wp\/v2\/posts\/86431","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.makingscience.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.makingscience.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.makingscience.com\/en\/wp-json\/wp\/v2\/users\/21"}],"replies":[{"embeddable":true,"href":"https:\/\/www.makingscience.com\/en\/wp-json\/wp\/v2\/comments?post=86431"}],"version-history":[{"count":1,"href":"https:\/\/www.makingscience.com\/en\/wp-json\/wp\/v2\/posts\/86431\/revisions"}],"predecessor-version":[{"id":86432,"href":"https:\/\/www.makingscience.com\/en\/wp-json\/wp\/v2\/posts\/86431\/revisions\/86432"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.makingscience.com\/en\/wp-json\/wp\/v2\/media\/57764"}],"wp:attachment":[{"href":"https:\/\/www.makingscience.com\/en\/wp-json\/wp\/v2\/media?parent=86431"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.makingscience.com\/en\/wp-json\/wp\/v2\/categories?post=86431"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.makingscience.com\/en\/wp-json\/wp\/v2\/tags?post=86431"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}