Search Engine Traffic is predicted to drop 25% by 2026 – here’s how advertisers can prepare paid search marketing for the AI era

Written by Peter Crone

Peter Crone is the founder of Digital Excellence, specializing in helping businesses grow through Google Ads, SEO, and data-driven digital strategies.

November 6, 2024

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Traditional search traffic expected to drop significantly

Gartner predicts a decline of 25% in traditional search traffic by 2026, as AI-powered search platforms like ChatGPT and Google’s Search Generative Experience (SGE), AI Overviews, gain prominence. Google’s recent expansion of SGE to over 100 countries signifies a major shift in how users interact with search. AI Overviews, integrated directly into Google Search, offer instant, AI-generated summaries, reducing the need for extensive clicking through multiple pages. This streamlined approach provides quick answers to complex queries. AI Overviews is now becoming the default Google Search experience without the option to opt out.

Video: Snapshot of AI search features being rolled out.

Source: AI Overviews in Search are coming to more places around the world, Google ads blog

What’s changing for search advertising

As AI-powered tools take over informational and transactional search queries, advertisers need to rethink how to maintain visibility.

Fewer searches across the funnel in conventional search: Product discovery, research, and purchase-intent searches are expected to decrease on platforms like Google and Bing as users turn to AI assistants for personalized recommendations and comparisons. This shift results in fewer shopping ad impressions and clicks, impacting advertisers’ reach and engagement.

Fewer Ads Above the Fold: Google’s SGE shows fewer ads in its search results compared to traditional search engine results. This is likely to increase competition for the remaining ad space, driving up the cost-per-click for advertisers.​

AI-Powered, Instant Results: Search engines will increasingly rely on AI-generated responses to user queries, with fewer users clicking through to websites. As a result, zero-click searches—where users find answers without leaving the search results page—will become more common​.

Rich Visual and Multimedia Content: Google’s AI-generated results will emphasize visual aids, such as product images, infographics, and videos, to make the search more engaging. 

AI-Powered Ads and Product Listings: Advertisers should expect AI-driven ad placements that integrate more naturally within AI-generated responses. Ads won’t just appear as banners; they’ll be embedded contextually, offering users more relevant product suggestions that align with the search experience.

Source Credibility: AI-driven platforms like Google will prioritize trustworthy, high-authority content. Ensuring your brand or website is seen as a reliable source will be critical for being included in AI-generated summaries​.

Video: Search in the Gemini Era

Source: Introducing a new era of AI-powered ads with Google, Google ads blog

How advertisers can adapt to the new reality

With decreasing ad clicks and a rise in AI-assisted personal recommendations enhanced by visual aids, advertisers must refine their paid search strategies to maintain visibility and drive conversions in the new, more contextually driven search result landscape.

 

The world is changing quickly. With the latest updates from Google, we see four key areas that advertisers should consider addressing to stay competitive. 

Optimize product listings and feeds for AI-Driven search

LLMs and AI platforms like Google’s Search Generative Experience rely on structured data to understand and feature products in search results and recommendations. Product listings and feeds must be optimized to ensure your products are visible in these AI-driven searches.

Use Structured Data: Implement product schema on your product pages to clearly define key attributes like price, availability, and reviews. This structured data helps AI platforms like Google’s SGE and ChatGPT recognize and promote your products in relevant recommendations searches. Rich snippets and featured snippets can also increase the chances of your product being included in AI-driven search results by making your information more accessible to AI platforms.

Optimize Google Shopping Feeds: Ensure your Google Merchant Center feed is regularly updated and detailed, including titles, descriptions, and pricing. Accurate and comprehensive product feeds increase your chances of appearing in AI-driven product comparisons and other search results. Product titles and descriptions should be optimized to include high-intent keywords that match common user queries. This helps AI recognize your products when users ask specific, intent-driven questions​.

Implement product reviews and ratings

AI platforms are increasingly sophisticated in how they assess the quality of products to recommend. Product reviews and ratings provide AI systems with reliable data points about a product’s performance and customer satisfaction. Google’s AI and similar models heavily rely on these factors to determine whether a product is trustworthy and whether it should be highlighted in a comparison.

 

Encourage Customer Reviews: Actively encourage your customers to leave reviews by providing incentives, such as discounts or loyalty points, for those who submit feedback. The more reviews a product has, the more reliable it appears to AI platforms, boosting its chances of being included in comparisons. Make the review process seamless and integrate it directly into the post-purchase experience to drive more submissions.
 
Respond and Engage with Reviews: Responding to both positive and negative reviews demonstrates active engagement with customers. AI models increasingly use signals such as response rates and customer service interactions to assess a brand’s reliability. Showing that your brand addresses concerns builds trust, not only with users but also with AI systems assessing product relevance​
 

Display Ratings Prominently: Ensure that star ratings and customer feedback are visible on your product pages and within Google Shopping ads. AI systems prioritize products that have strong, visible customer ratings, especially when these ratings are consistently high across many reviews​.

 

Utilize Performance Max campaigns

Dynamic ad delivery based on AI-generated user intent

Performance Max uses Google’s AI to automatically adjust ad placement based on user behavior and intent signals that AI search platforms like SGE or ChatGPT interpret from user queries. For example, when a user interacts with an AI tool asking for product recommendations or comparisons, Google’s AI interprets these signals and ensures that relevant product ads from Performance Max campaigns are presented.
 
By analyzing data from a wide range of user interactions across multiple channels (Search, YouTube, Display), Performance Max can place your ads directly in AI-generated responses. This allows your products or services to appear as suggestions within conversational search threads.
 

 

Optimizing ads for AI-Generated search experiences

As AI-driven search platforms evolve, Performance Max is increasingly relevant because it allows ads to be tailored and optimized for a conversational, context-aware environment. AI models tend to answer user queries with suggestions or recommendations directly within the interface, and Performance Max feeds to ensure that these ads are dynamically served in response to real-time search intent.

AI-driven ads generated by Performance Max are not static; they adapt to user interactions in real time, which is crucial when AI systems like Google’s SGE or ChatGPT generate fluid, conversation-style queries. This means your ads could appear as a natural extension of the AI response rather than an intrusive ad.
 

Optimize retargeting and maximize audiences

As search traffic declines and third-party cookies are phased out, advertisers face a 60% reduction in available audience data for targeting due to privacy regulations like GDPR and CCPA. This shift makes it essential for advertisers to adopt a first-party data strategy to maintain effective retargeting and audience-building capabilities. AI-driven platforms offer opportunities for hyper-personalized retargeting, using first-party data to deliver more tailored and relevant ads.

 

Focus on first-party data and server-side tracking

With third-party cookies becoming obsolete, first-party data collected from user interactions, such as website visits, email campaigns, and loyalty programs, will be the backbone of your retargeting campaigns. Pairing this with server-side tracking enhances data collection accuracy and compliance with privacy regulations​.

 

Dynamic retargeting with AI

AI campaign platforms use dynamic creatives to serve personalized ads based on user behavior, enabling granular targeting that increases relevance and engagement. AI helps ensure your ads reach users at the optimal moment, improving overall retargeting performance.

Leverage AI-powered dynamic creatives that adjust in real-time based on user interactions. Show users products they’ve previously browsed or products related to their past purchases, keeping the ads highly relevant. Use real-time bidding and AI optimization to serve personalized ads to users at the right time, maximizing their likelihood of conversion.

 

Enhanced conversions for paid search campaigns

As privacy regulations limit third-party tracking, Enhanced Conversions helps advertisers improve conversion tracking using first-party data. This ensures better performance and optimization of your paid search campaigns.

 

Maximizing data gathering through consent and value exchange

In a privacy-conscious environment, gaining user consent for data collection is crucial. Offering users tangible benefits in exchange for their data encourages more voluntary data sharing, which is vital for building accurate audience lists.

 

Key actions to prepare your paid search for the AI transition

Here are all the key actions boiled down to take full advantage of the AI capabilities Google ads has to offer.

Optimize product listings and feeds

Optimize Product Listings with Structured Data.

Rich snippets and featured snippets can also increase the chances of your product being included in AI-driven search results.

Google Shopping Feed: Google’s AI platforms prioritize accurate and comprehensive feeds, which can improve your chances of appearing in product comparisons. Make sure your Google Merchant Center feed is highly detailed and regularly updated. Product titles and descriptions should be optimized to include high-intent keywords that match common user queries. This helps AI recognize your products when users ask specific, intent-driven questions​.

Optimize product reviews and ratings
Encourage Customer Reviews: Actively encourage your customers to leave reviews by providing incentives, such as discounts or loyalty points, for those who submit feedback. The more reviews a product has, the more reliable it appears to AI platforms, boosting its chances of being included in comparisons.
 
Respond and Engage with Reviews: AI models increasingly use signals such as response rates and customer service interactions to assess a brand’s reliability.
 
Display Ratings Prominently: Ensure that star ratings and customer feedback are visible on your product pages and within Google Shopping ads. AI systems prioritize products that have strong, visible customer ratings, especially when these ratings are consistently high across many reviews.
Performance Max campaigns

Use dynamic ad delivery based on user intent: Performance Max uses AI to automatically adjust ad placement based on user behavior and intent signals. Google’s AI interprets these signals and ensures that relevant product ads from Performance Max campaigns are presented.

 

Optimize ads for AI-Generated Search Experiences: Performance Max allows ads to be tailored and optimized for a conversational, context-aware environment. Performance Max ensures that ads are dynamically served in response to real-time search intent.

AI-driven ads generated by Performance Max adapt to user interactions in real time. This means your ads could appear as a natural extension of the AI response rather than an intrusive ad.

Retargeting

Implement server-side tracking via platforms like Google Tag Manager to capture data directly from your servers. This improves the stability and security of user data, ensuring better tracking performance even with privacy constraints​.

Collect first-party data from direct user interactions—such as website visits, purchases, and email signups—and use this data to build custom audiences for retargeting​.

Set up Enhanced Conversions in your Google Ads account to ensure better conversion tracking and attribution for your paid search campaigns.

Use consent-based tracking mechanisms like cookie banners and opt-in forms that clearly explain the benefits of data sharing, ensuring users feel secure and informed.

Disclosure: This content was generated with the assistance of advanced AI technology, which draws upon insights from various sources to inform the topic. The information presented has been synthesized and refined through our analysis and methodology to ensure a comprehensive and insightful overview.

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