Google has taken a historic step in the evolution of search advertising: ads are now officially appearing within AI-generated summaries (AI Overviews). Previously, the AI response window was a purely organic space, but users now see 'Sponsored' cards and product recommendations directly within and below the AI synthesis block. Most importantly for advertisers: Google has not created a separate 'AI Overviews campaign' switch. Ads are automatically selected from your existing Search, Shopping, and Performance Max campaigns if the algorithm determines your offer is the logical 'next step' after reading the AI response. In this analysis, we explain how this new placement works, which industries are protected, and how to prepare your account for the new reality of AI auctions.
From traditional results to conversational ads in AI responses
For over two decades, Google search ads operated on a predictable principle: a user entered a keyword, and 3 to 4 text ads appeared at the top of the screen, followed by organic links. However, with the arrival of AI Overviews, millions of informational queries no longer result in clicks to websites because Google's artificial intelligence provides a complete answer right in the search window.
To monetize this new behavioral model and connect buyers with service providers, Google has introduced ad integration directly into the AI summary response. Ads are not shown randomly: the algorithm evaluates the entire search context and displays a specific product or solution at the moment the user has understood their problem and is ready for action. Therefore, it is critical for businesses to prepare in time for the new ChatGPT and AI search advertising environment, which is gradually replacing traditional keyword bidding.
Alongside this, classic Google Ads campaign management and optimization is gaining a new dimension: your campaign's quality score now depends directly on how deeply your landing page answers the user's true search intent.
"Many advertisers were afraid that AI Overviews would take away all search clicks. The appearance of ads directly inside the AI window is a breakthrough: this is the highest-value real estate in the entire Google search engine. Your ad is no longer just a link on the side; it becomes an official, AI-recommended next step. Companies whose ad copy and pages are semantically enriched will capture the best-converting buyers at significantly lower costs."
How the Google algorithm decides to show ads in the AI block
The most important technical aspect that every marketing manager must understand: Google has not created a separate 'AI Overviews campaign' type. You cannot go into your account and check a box to 'show only in AI'.
Instead, Google's search core analyzes all your active Search, Shopping, and Performance Max campaigns. The decision to place an ad in the AI block is made in milliseconds, based on three main criteria:
1. Semantic alignment of query and response: The algorithm compares your ad text and landing page content not with a simple keyword, but with the entire semantic vector of the AI-generated response. If a customer asks 'how to clean coffee stains from a light-colored sofa' and the AI response mentions professional fabric cleaners, a Google Shopping ad for that specific cleaner is displayed right below that paragraph.
2. 'Next Step' relevance: The AI model evaluates whether the buyer is just looking for a definition or if they need an immediate physical solution. In informational queries with high commercial potential, the ad is presented as a natural transition from theory to a practical solution.
3. Advertiser credibility and entity rating: Preference is given to advertisers whose websites contain original data and clear authority signals that meet Google's information gain and first-source content requirements.
Three main AI ad placement formats in the interface
Google is testing and implementing three distinct placements depending on the device and query specifics:
1. In-Answer Cards: This is the most integrated format. The ad appears directly in the middle of the AI summary text paragraphs. For example, when the AI explains the three most popular types of insulation materials, a precise store product card with price and delivery time appears next to the specific material.
2. Bottom Carousel: Positioned directly below the AI summary before the traditional organic results. It serves as an immediate 'next step' for the user who has just finished reading the summary and is ready to purchase equipment or hire a professional.
3. Top 'Sponsored' block: The classic search ad above AI Overviews, which maintains its position in urgent commercial queries where the user is already clearly looking for a service provider.
Industries where ads are not shown in AI Overviews
Google has implemented strict safety and ethical restrictions regarding ad integration in AI responses. Ads are not shown for queries involving sensitive and high-risk topics:
1. Health and medical diagnoses: Queries about disease symptoms, prescription medications, and treatment methods remain 100% free of sponsored content in the AI window to prevent risks to patient safety.
2. Finance and payday loans: High-risk financial products, credit lines, and investment speculations are not included in AI recommendation blocks.
3. Gambling, alcohol, and adult content: All industries subject to strict government regulations are completely excluded from AI Overviews ad integration.
Conversely, e-commerce, service providers, B2B software, home improvement, automotive, and travel are priority verticals where AI ads show the highest click and conversion activity, which we cover in more detail in our analysis of Google AI Overviews' global impact and content structure.
Customer Match threshold revolution: from 1000 to 100 contacts
Simultaneously with the introduction of AI ads, Google announced another huge update that took effect on October 1st: the minimum threshold for Customer Match audiences has been reduced from 1000 contacts to just 100 contacts.
Previously, small and medium-sized businesses could not fully utilize their first-party CRM data (customer emails and phone numbers) for Google ad targeting because the system required at least 1000 active users in a list. Now, even a niche B2B company with 120 corporate clients can upload this list to Google Ads, use it for remarketing, and help the AI algorithm find similar buyers (Similar Audiences) across the entire search network.
Comparison of traditional search ads and AI Overviews ads
To better understand the differences between the classic approach and the new AI format, let's look at them in a comparison table:
| Parameter | Traditional Search Ad | AI Overviews Ad |
|---|---|---|
| Screen placement | Above or below organic results | Contextually integrated directly into the AI summary |
| Selection principle | Keyword bidding and quality score | Semantic connection with the entire AI response context |
| Buyer perception | Perceived as a standard paid ad | Perceived as a logical next step recommended by AI |
| Campaign management | Manual bidding and negative keywords | Smart Bidding and Performance Max automation |
| Click conversion rate | Average (visitor explores alternatives) | High (visitor is already educated by the AI response) |
| Minimum data threshold | No restrictions | Requires high landing page relevance |
How to prepare your campaigns for AI Overviews ads
For your company's ads and products to start appearing in these prestigious AI answer windows, your marketing team must take 5 concrete preparation steps:
- Semantic enrichment of landing pages: Ensure that your ad destination pages contain not only a purchase button but also structured answer blocks, technical data, and FAQ sections that Google AI can easily read and match with search queries.
- Performance Max and Shopping feed quality audit: Organize product attributes, brand names, and GTIN codes, as complete data records are prioritized for Shopping cards in AI windows.
- Refining assets and extensions: Add all possible sitelinks, call buttons, and price highlights to your ads so the algorithm can dynamically assemble the most appropriate format.
- Activating Customer Match lists with the new 100-contact threshold: Upload your existing customer bases so the AI can more accurately determine your target buyer profile.
- Value-Based Bidding: Move from simple click acquisition to target ROAS or conversion value bidding, giving the algorithm the freedom to pay more for high-value AI placements.
Google Ads AI Overviews Readiness Checklist
Frequently Asked Questions about ads in AI Overviews
Can I choose not to show ads in AI Overviews blocks?
Currently, Google does not offer a separate setting to exclude ad display specifically in AI Overviews blocks if your campaign is running in the Search or Performance Max network. Just as Google gradually merged various search partner placements, AI responses are considered a natural part of search results. The only way to control these displays is through negative keywords and precise audience targeting.
How much does a click from an AI Overviews ad cost?
The pricing model remains the same familiar CPC (cost-per-click) auction principle. However, since the user has already engaged with the AI summary before clicking and precisely understands their need, the purchase intent of these clicks is significantly higher. Although in some competitive niches the cost per click may be slightly higher, the final conversion rate usually compensates for the costs with a lower customer acquisition cost (CPA).
How can I see how many impressions my ads receive directly from AI responses?
Google is gradually introducing new reports in the Google Ads reporting section, where a breakdown of placements by AI Overviews impressions will soon be available. For now, this data is included in the overall Search and Shopping campaign statistics, but it can be indirectly identified by higher engagement time and lower bounce rates in analytics.
Can small local businesses compete in AI ad auctions with large brands?
Yes, and local businesses often have an advantage. If a search query contains geographic intent (e.g., 'roof repair in Riga'), the Google AI algorithm will prioritize a local, verified service provider with good reviews and precise service data as the 'next step' rather than a general national-scale portal.
How do negative keywords affect displays in AI summaries?
Negative keywords retain full power in AI Overviews placements as well. If your campaign excludes words like 'free', 'DIY', or 'jobs', your ad will not be shown in the AI response even if the artificial intelligence provides a great educational summary on that topic, protecting your budget from fruitless clicks.