Search is no longer just about keywords. It’s about conversations, intent and delivering the right answer at the right moment.
For years, marketers have built successful PPC campaigns around one fundamental principle: understanding what people search for and matching those searches with relevant keywords, compelling ad copy and optimised landing pages. That approach is evolving rather than disappearing, and Google’s introduction of AI-powered search experiences marks one of the biggest shifts in search marketing since Responsive Search Ads and Smart Bidding.
Instead of presenting users with a traditional list of blue links, Google’s AI Mode generates conversational responses that answer complex questions while surfacing relevant websites and adverts. For advertisers, this changes how campaigns are built, how relevance is determined and how users engage with results. The question is shifting from “which keyword should I bid on?” to “how do I make my campaigns relevant inside a conversational search experience?”
Here’s what that evolution means for PPC marketers, what’s actually changed as of mid-2026, and how to prepare your campaigns.
The Evolution of Search Advertising
Search advertising has evolved alongside Google’s technology for two decades. In the early days, PPC success relied on keyword research: advertisers selected targeted keywords, grouped them into tightly themed ad groups and wrote ads that closely matched users’ search terms. Campaign performance depended on:
- Comprehensive keyword research
- Relevant ad copy
- Well-optimised landing pages
- Strong Quality Scores
- Effective bid management
As Google’s technology matured, automation took on a larger role. Keyword match types gave advertisers more control over who saw their ads: Exact Match targeted highly specific searches, Phrase Match expanded reach while keeping relevance, and Broad Match used machine learning to identify related intent beyond the literal keyword. Even so, marketers remained firmly in control of campaign structure — that began to change with AI.
Google’s Shift Towards AI-Driven Advertising
Over the past several years, Google has steadily built AI into nearly every part of Google Ads. Instead of asking advertisers to manually adjust bids for every auction, Google introduced Smart Bidding strategies such as Maximise Clicks, Maximise Conversions, Target CPA and Target ROAS. These strategies weigh hundreds of real-time signals — user intent, device, location, time of day and browsing behaviour — to set the optimal bid for each auction.
Responsive Search Ads changed how copy gets created in a similar way. Rather than writing one headline and one description, advertisers supply multiple headlines and descriptions, and Google’s system tests combinations to serve the most relevant variant for each search. Advertisers moved from writing fixed adverts to supplying high-quality assets that AI assembles dynamically — and Conversational AI Search takes that same logic a step further.
What Is Conversational AI Search?
Traditional search starts with a keyword. Conversational search starts with a question. Instead of searching “best CRM software,” a user might ask: “I’m looking for an affordable CRM for a small business with under ten employees — which one should I choose?”
Google’s AI Mode interprets that intent, generates a conversational answer, and recommends relevant businesses, products and services — a far richer experience than a results page of links. It also changes how advertisers compete for visibility: rather than matching on keywords alone, Google increasingly weighs context, intent and relevance when deciding which information, and which ads, to present.
The New Ad Formats Inside AI Mode
This is the area that’s moved fastest. At Google Marketing Live 2026, Google confirmed several Gemini-powered ad formats built specifically for AI Mode, which has now passed one billion monthly users. These aren’t bolted onto the side of an AI answer — they sit inside it:
- Conversational Discovery ads — answer a user’s specific question directly inside an AI Mode response, with creative generated by Gemini from the advertiser’s existing assets in real time.
- Highlighted Answers — let relevant sponsored options appear within Google’s AI-generated recommendation lists, clearly labelled as “Sponsored.”
- AI-powered Shopping ads — generate a custom explainer for why a specific product fits a shopper’s needs, aimed at higher-consideration purchases such as appliances and electronics.
- Business Agent for Leads — replaces a static lead form with a Gemini-powered chat agent, trained on the advertiser’s own website, embedded directly in the ad.
Both Conversational Discovery and Highlighted Answers also include an independent AI explainer — a short synthesis Google’s own model generates about the product or service, shown alongside the advertiser’s creative, intended to keep the experience transparent rather than purely promotional.
For PPC marketers, the takeaway is that AI search isn’t replacing advertising; it’s relocating it inside the answer itself. Because Gemini, not the advertiser, decides which version of an ad belongs in a given response, the lever advertisers control has shifted from keyword bidding towards the quality and depth of the assets they feed the system.
Do Keywords Still Matter?
Yes — but they’re no longer the only signal Google uses. Modern campaigns are evaluated on a combination of user intent, search context, landing page relevance, ad quality, historical performance, conversion data, audience signals and machine learning. Google’s systems aim to understand what a user is actually trying to achieve, not just which words they typed.
In practice, this means building campaigns around customer intent rather than isolated keywords. The more directly your ads answer the questions people are actually asking, the more likely they are to stay relevant as search becomes more conversational.
Why Ad Copy Matters More Than Ever
As AI-powered search grows, ad copy becomes one of the strongest levers an advertiser has. Responsive Search Ads already let Google combine headlines and descriptions to build the most relevant advert per search; in Conversational Discovery ads and AI-powered Shopping ads, that same flexibility determines what Gemini has to work with when it assembles creative on the fly.
Rather than writing repetitive, keyword-heavy headlines, build a wide range of assets covering customer benefits, unique selling points, trust signals, pain-point solutions and clear calls to action. Every headline should add something the others don’t; every description should add new context. You’re not writing a single advert anymore — you’re building a library of messaging that AI can personalise per conversation.
How AI Decides Which Ads to Show
Google hasn’t published the full mechanics of how ads are selected inside AI Mode, but its systems evaluate relevance across several signals: the user’s conversational query, intent, device, location, prior interactions, landing page relevance, ad assets and expected performance. That lets Google surface ads that feel aligned with a long, detailed or conversational query rather than a short keyword match.
For advertisers, this shifts the job from building isolated ads to building campaigns backed by comprehensive, high-quality assets and strong conversion data — the raw material Gemini draws on when generating a response.
Which Campaign Types Are Best Positioned
Standard Search campaigns built on Responsive Search Ads, relevant keywords and Smart Bidding remain part of the core platform and remain eligible for AI-powered placements when relevant.
Performance Max already leans heavily on Google’s AI to optimise delivery across Search, YouTube, Display, Discover, Gmail and Maps, and is well placed to benefit further as AI search expands.
AI Max for Search, which moved out of beta in 2026 and is replacing Dynamic Search Ads, is increasingly the foundation Google expects advertisers to build on for AI-driven visibility — it combines advertiser input (ads, website content) with broader real-time signals to find queries a standard keyword campaign would miss.
Across all of these, advertisers using Responsive Search Ads, Broad Match where appropriate, Smart Bidding, strong landing pages and reliable conversion tracking are best positioned to benefit from Google’s increasingly AI-driven ecosystem.
Preparing Your Campaigns for AI Mode
The shift to conversational search doesn’t mean abandoning existing strategy — it means refining it in a few specific places:
- Build stronger Responsive Search Ads. Provide a genuinely varied set of headlines and descriptions rather than near-duplicates of the same message.
- Design for intent, not just keywords. Map the questions customers ask before buying, and make sure your ads and assets answer them directly.
- Tighten landing page quality. AI Mode and Highlighted Answers draw on landing pages as source material, so thin pages built only to capture a click will underperform.
- Strengthen conversion tracking. Smart Bidding and AI Max perform only as well as the signals they’re given — audit what’s actually being measured.
- Keep using Smart Bidding. Target CPA, Target ROAS and Maximise Conversions let Google’s systems adjust bids in real time at a scale manual management can’t match.
- Consider moving from Dynamic Search Ads to AI Max ahead of the auto-upgrade. Campaigns using Automatically Created Assets or campaign-level broad match begin auto-upgrading from September 2026, so migrating on your own terms gives you more control over the transition.
Reporting and Visibility
This is one area where the picture has genuinely improved. Until recently, advertisers had little way to confirm where their ads were appearing inside AI Mode. Google has since introduced dedicated AI performance reporting in Search Console, giving advertisers and site owners more visibility into AI-driven placements and traffic than before — though reporting at the level of individual AI Mode impressions is still maturing. In the meantime, the more reliable strategy is still to focus on overall campaign and asset quality rather than chasing a specific, not-yet-fully-transparent placement.
Quick Answers
Do I need new keywords for AI Mode? No — keyword strategy still matters, but pair it with intent-led asset creation rather than relying on exact-match coverage alone.
Which campaign type should I prioritise? AI Max for Search and Performance Max are currently the formats Google is building its AI Mode ad eligibility around.
Can I opt out of AI Mode ad placements? Eligibility is currently tied to broader campaign settings (Performance Max, broad match Search, AI Max) rather than offered as a single AI Mode toggle, so check campaign-level settings in Google Ads if you want tighter control.
Where This Leaves PPC Marketers
Search is moving from keywords towards conversations, but the fundamentals — solid campaign structure, relevant keywords, strong ad copy and good landing pages — haven’t gone away. What’s changed is how Google judges relevance, and how much of the creative assembly now happens automatically inside the ad platform rather than in the advertiser’s hands.
The practical move for the next two quarters is narrow: audit your asset libraries for genuine variety (not near-duplicate headlines), get conversion tracking and first-party data in proper shape before AI Mode reporting gets harder to parse, and migrate off Dynamic Search Ads to AI Max before the September auto-upgrade forces the issue. Advertisers who do that groundwork now will have more control over how they show up inside AI Mode than those who wait for it to happen to them.
