AI Search & AI Overviews: What Changes for Google Ads in 2026

Google Search as you know it is dissolving right now: Instead of ten blue links, Google answers more and more queries directly – with AI Overviews above the search results and a standalone AI Mode in chat format. For SEO, this is an earthquake. But what does it mean for Google Ads?

This article sorts out what has actually changed as of early 2026, what Google is testing, what's still open – and what you as an advertiser should concretely do now. No panic, no hype.

How AI Overviews and AI Mode Are Changing the SERP

AI Overviews: The Answer Before the Results

AI Overviews are AI-generated summaries that appear at the very top of the SERP for many search queries – in the US since 2024, broadly in Germany and other European markets since 2025. The answer is assembled from multiple sources, with source links to the side or below.

What that means in practice:

• For informational queries ("what is an attribution model"), users get the answer without clicking
• Classic organic results slide down – sometimes below the visible area
• The click probability on organic results drops significantly for these queries; various studies show noticeable CTR declines, with exact figures varying by industry and query type

AI Mode: Search as a Conversation

AI Mode goes further: a chat-like mode in which users can ask follow-up questions, compare, and plan. Google initially rolled it out in the US in 2025 and has since gradually expanded it to more countries and languages. As of early 2026, its usage in Europe is still considerably smaller than classic search – but the direction is clear: Google is rebuilding search into an answer and dialogue machine.

Important Context: Not Every Search Is Affected

AI Overviews appear primarily for informational queries. For clearly transactional searches ("buy men's running shoes", "tax advisor Munich"), Google continues to show predominantly classic results, Shopping surfaces – and ads. That's exactly where Google makes its money, and exactly where your Google Ads business continues.

Organic Clicks vs. Ads: Who Loses, Who Wins?

| Area | Impact as of early 2026 | |------|------------------------| | Organic clicks (informational) | Clearly declining for queries with AI Overview | | Organic clicks (transactional) | Less affected so far | | Search ads | Impression and click volume stable overall; shifts depending on query type | | Shopping/PMax | Still prominently placed, partly integrated into new AI surfaces |

Two things stand out:

1. The pressure on SEO indirectly increases the value of ads: When organic visibility shrinks for many queries, paid visibility becomes relatively more important. In the medium term, this can drive up CPCs – one more reason to have your Quality Score and conversion path under control. We've written up how SEO and SEA fundamentally complement each other in our comparison Google Ads vs. SEO
2. Fewer but more qualified clicks: Those who still click despite an AI answer often have a more concrete intent. Early experience suggests that traffic from AI contexts sometimes converts better – but there are no robust cross-industry figures on this yet

Ads in AI Answers: What Google Is Already Doing

Google made clear early on that AI answers would get advertising space. The state of play as of early 2026, carefully worded:

• Ads in and below AI Overviews: In the US, Google has been showing Search and Shopping ads within or below AI Overviews since 2024/2025 – labeled as "Sponsored". The expansion to more markets is proceeding gradually
• Ads in AI Mode: Google is testing ads in the conversational answers of AI Mode, initially in the US. Formats and delivery logic are still changing continuously
• No separately bookable placement: As of today, you cannot specifically book these surfaces. Google feeds them from existing campaigns – primarily Search with broad match keywords, Performance Max, and Shopping
• AI Max for Search campaigns: Introduced in 2025, it bundles AI features like expanded search query coverage and automatically adapted text. Google explicitly positions it as the answer to more complex, longer search queries in the AI era

The honest consequence: If you want to appear in AI surfaces, you can hardly avoid Google's automation stack. That's Google's declared strategy – and at the same time the reason why clean data (conversions, values, audiences) is becoming more important than ever: it's your only steering instrument when targeting and placement increasingly happen automatically.

Why Structured Data and llms.txt Also Concern Advertisers

Sounds like an SEO topic, but it isn't anymore – for three reasons:

1. AI Systems Need to Understand Your Offer

AI Overviews, AI Mode, and also Google's advertising systems pull information from your website: products, prices, availability, services, locations. The more machine-readable this data is, the more likely you'll be correctly cited, compared – and advertised:

• Maintain Schema.org markup (Product, Offer, FAQ, LocalBusiness, Service) cleanly
• Google Merchant Center: The product feed has long been the most important data source for Shopping and AI surfaces – in 2026, feed quality is ad quality
• Clear, factual content: AI systems prefer to cite precise, well-structured statements over marketing fluff

2. llms.txt: Assess Cautiously

The llms.txt is a proposed standard that lets websites offer AI systems a curated, machine-friendly overview of their most important content. As of early 2026:

• Some AI providers and tools evaluate it; official support by Google Search is not confirmed
• The effort is minimal, the risk zero – as a cheap bet on AI discoverability, there's little against it
• It does not replace structured data or good content; at most, it complements them

3. Your Landing Page Is Being Read Aloud by Machines

When users ask in AI Mode "Which provider for X in Munich is recommended?", the machine readability of your page helps decide whether you appear in the answer. This applies to every ad landing page just as much as to organic content.

What You as an Advertiser Should Do NOW

Checklist: The No-Regret Measures

These points pay off regardless of how quickly AI search takes hold:

• [ ] Harden your measurement basis: conversion tracking, Enhanced Conversions, Consent Mode v2 – when placements become more automated, your conversion data is the only steering wheel. Starting point: our tracking service
• [ ] Pass conversion values: Smart Bidding and AI surfaces optimize on value. If you only count conversions without values, you leave prioritization to chance
• [ ] Build first-party data: customer lists, newsletters, CRM integration – your own data becomes more valuable the more Google automates
• [ ] Strengthen search query monitoring: With broad match and AI Max, query diversity increases. Regularly check search term reports, maintain negative keywords
• [ ] Structure feed and website data: Schema.org, a well-maintained Merchant Center, precise service descriptions
• [ ] Monitor your brand: If AI answers mention your brand (or recommend competitors), you want to know. Regularly check your core search queries in AI Overviews/AI Mode
• [ ] Plan for budget flexibility: Shifts between Search, Shopping, and PMax are likely to increase in 2026 – rigid channel budgets fit poorly with a SERP under reconstruction

What You Should NOT Do

• ❌ Write off SEO: Transactional visibility, brand building, and the data basis for AI citations continue to come from organic content
• ❌ Panic-switch everything to PMax: Automation yes, but controlled – with clean data, exclusions, and clear target values
• ❌ Wait for "the final format": Google iterates publicly. Those who wait until everything is finished start with a deficit in data and learning history

Honest Assessment: What's Still Unclear as of Early 2026

For all the dynamism – nobody can credibly answer these questions for you:

1. How much AI surfaces will change CPCs: More automation and less organic space suggest rising prices, new surfaces suggest more inventory. Which prevails is open
2. How transparently Google will report AI placements: As of today, you can't cleanly see which clicks came from AI Overviews or AI Mode. Whether and when dedicated reporting segments will come is unclear
3. How user behavior will really shift: Whether users will mostly search in dialogue mode in five years or classic search will remain dominant – there are forecasts, no certainties
4. Whether llms.txt will catch on: Currently a cheap bet, not a standard
5. How regulation will intervene: Especially in the EU, requirements on AI answers, source attribution, and ad labeling are in flux

We update our assessment when facts change – not when headlines change.

Conclusion: Prepare Instead of Waiting

In 2026, AI search changes above all where and how visibility is created – not that companies pay for visibility. Google is moving ads into the new AI surfaces, and access to them runs through automation plus clean data.

The good news: Everything that prepares you for AI surfaces – strong tracking, conversion values, first-party data, structured website data – improves your performance already today. So there's no reason to wait and no reason to panic.

If you want to know how well your account is positioned for this shift, take a look at our Google Ads consulting or contact us directly – we'll also tell you honestly which AI topics don't matter for your business in 2026 yet.

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FAQ on AI Search and Google Ads

Do Google Ads lose effectiveness due to AI Overviews?

As of early 2026: no, rather the opposite. AI Overviews primarily affect informational searches and thus mainly organic traffic. For transactional queries, ads remain prominent – and Google is additionally integrating them into the AI surfaces. What changes is the path: more automation, more weight on data quality.

Can I book ads in AI Overviews or AI Mode directly?

No. As of early 2026, there is no separately bookable placement. Google fills the AI surfaces from existing campaigns – primarily Search with broad match or AI Max, Performance Max, and Shopping. If you want to appear there, you need these campaign types plus clean conversion and feed data.

Do I need an llms.txt for my website?

"Need" is saying too much. The llms.txt is a proposed standard without confirmed support from Google Search. However, the effort is minimal and it can't hurt – defensible as a cheap bet on AI discoverability. More important are structured data (Schema.org), a well-maintained Merchant Center feed, and clearly worded content.

Should I shift my SEO budget into Google Ads now?

Not across the board. Organic content remains the basis for AI systems knowing and citing you at all – and transactional organic visibility is less affected so far. More sensible than shifting is interlocking: ads for predictable, transactional demand, content/SEO for trust, citability, and brand building.

How do I recognize whether my ads are being served in AI surfaces?

Currently only to a limited extent. Google does not report clicks from AI Overviews and AI Mode as a separate segment (as of early 2026). Indirect indications come from shifts in query types, impressions on very long queries, and performance changes in broad match and PMax campaigns. The only remedy: regularly check search term reports and segments.