Is AI devouring your shop system – or is it finally selling properly for you?

Imagine your shop was more than just a digital shelf – more like a sales professional who knows your customers, understands their preferences, and shows them exactly the products they truly want to buy. When AI and the shop system work seamlessly together, that’s precisely what happens: your shop automatically highlights the most relevant items and creates a shopping experience that feels almost like personalized advice.

In this blog post you will learn:

  • how AI displays products in ads
  • How to turn Google Ads & Co. into your sales pro
  • How to effectively use A/B testing for delivery time and shipping costs

Important: Even with perfectly set up Google Ads and a clean shop, it takes about three months for the ROAS to stabilize.

Interested in a shopping and Google Ads analysis with LA Click? → https://laclick.com/kontakt/

1. Correctly configure the shop system and shopping campaigns

Before AI can sell for you, your shop and campaigns must be technically sound. Only then will clicks turn into profitable orders. If product data, prices, shipping information, and tracking are correct, Google can reliably optimize for ROAS.

The AI ​​typically needs around three months to collect enough data and run stably. Our A/B tests also show that with proper tracking, results can be up to 30% better.

Key parameters at a glance:

  • ROAS optimization requires patience.
  • Define target ROAS (e.g., 400–800%)
  • Respect the learning phase: approximately 3 months without spontaneous changes.
  • Gradually increase ROAS if there are enough conversions.

Communicate delivery time clearly

  • Place delivery times visible in the shop and in the feed
  • Use graphics/icons (“1–2 days”, “3–5 days”)
  • Realistic information reduces cancellations/returns

Optimize delivery costs & free shipping

  • Check shipping costs: From which shopping cart does free shipping become worthwhile?
  • Compare competitors in terms of shipping and minimum order value
  • Goal: to remain competitive, no dumping

Competitor analysis for more orders

  • Compare prices, delivery times & offers
  • Check product range & bestsellers
  • Adjustments can bring up to 20-30% more orders.
  • Detailed analysis and measures available upon request.

Add chatbot

  • AI chatbot for questions about products, shipping & returns
  • especially useful in the evenings and on weekends
  • Relieves support staff and reduces checkout abandonment rates.

Questionnaire for ongoing optimization

  • short surveys after purchase or cancellation
  • Feedback on product range, usability, payment methods & shipping
  • Regularly evaluate and incorporate responses

2. How AI unfolds its full potential at Google Shopping & Co.

Performance Max, Demand Gen & AI Max: AI-powered ad formats

Instead of manually managing each campaign, use automated formats that AI optimizes for you:

  • Performance Max: Uses product feed, goals, user signals, and creatives to optimize across all Google channels – from search to YouTube.
  • Shopping campaign: Create two separate ad groups for top-selling and standard/regular products. Ideal for initial A/B testing.
  • Demand Gen: For visual upper-funnel campaigns using images and videos to generate early demand.
  • AI Max (new AI Shopping Journeys): Focus on dialogue-based search queries; Google dynamically combines matching products, content, and ads.

These formats analyze product data, search intent and behavior – and automatically display relevant products.

What does that mean for you?

The cleaner your product data (titles, images, attributes, descriptions, prices), the more precisely the AI ​​can provide suitable recommendations.

3. AI product recommendations in ads: Personalization outside your store

The era of static text ads like “Buy sports shoes – Top selection” is over. Today, AI personalizes in a much more targeted way:

  • Dynamic product ads: Google pulls relevant items from your feed and shows them in Shopping, Display, or YouTube overlays.
  • AI-based recommendations: Products vary depending on search query, behavior, and context.
  • AI-generated creatives: The Merchant Center automatically creates alternative image variations or layouts – ideal when you have little of your own material.
  • Images must not contain any text, e.g., sales text – otherwise they will be rejected.

The AI ​​thus recognizes the appropriate product, the right person, and the best time for distribution.

4. How to properly use AI cost estimates in the Merchant Center

  • Use AI-powered price suggestions: Automatically compare prices with the market and remain competitive.
  • Optimize promotional days: Use suggestions for peak periods like Black Friday to increase unit sales without losing margin.
  • Don’t bid against yourself: Pay attention to price parity if you are also selling on Toppreise, Brack or Galaxus.
  • Competitor analysis & pricing tests: Observe competitor prices and test different price levels using A/B testing.

Merchant Center recommendation:

Increased revenue through dynamic, market-driven pricing with AI-based price suggestions.

5. Target groups: How AI decides which product is shown to whom

One of AI’s greatest strengths in e-commerce is precise smart targeting. Instead of just segmenting demographically, AI uses many signals:

  • Browsing behavior
  • Purchase history
  • Interactions with ads
  • Contextual signals such as device, time, or location

This creates target groups with a high purchase probability. You define the goal, for example:

  • “Maximize conversions”
  • “Maintain a ROAS of 500%”

Tip: Start with a lower ROAS and increase it in 10–20% increments. Avoid daily adjustments – they disrupt the learning phase.

The AI ​​then decides for itself:

  • which ad is shown to whom
  • with which commandment
  • in which combination of product, creative, text and placement

Important: Clear goals + clean tracking = better recommendations.

6. Data, Tracking & Analytics: The basis of every AI recommendation

Many believe: “Maximum performance on – done.”

In fact, AI needs precise, clean data – otherwise it will make wrong decisions.

What you absolutely need

  • Clean conversion tracking: Sales, add-to-cart, abandonment, and leads are clearly and reliably recorded.
  • Well-maintained product feed: clear titles, correct categories, complete attributes, current stock levels, realistic prices
  • Consistent tracking: Uniform data across all channels

What AI analytics can deliver

  • Search queries that actually drive conversions, including AI-generated phrases.
  • Performance of creatives, products, categories and target audiences
  • Analysis of user-friendliness across the entire funnel

USP: The cleaner your data, the better the AI ​​works. Continuous monitoring strengthens every automated campaign.

7. Smart Bidding & “Agentic Checkout”: AI all the way to the shopping cart

AI doesn’t end with the display; it accompanies users all the way to the purchase.

Smart Bidding

You set a goal (e.g., ROAS or CPA). The AI ​​adjusts bids in real time based on the conversion probability.

Agentic checkout / intelligent checkout flows

AI can:

  • Recognize jumps early
  • Testing variations (buttons, texts, order, shipping options)
  • show suitable recommendations
  • remove unnecessary steps

Thus the circle is complete:

  • AI selects target audience, creative, bid
  • Optimized ad placement & bidding for conversion probability
  • accompanies the checkout process, reduces abandonment

USP: AI increases the probability of purchase at every step of the funnel.

Our tips: Step by step into the world of AI shopping

  1. Making the shop system “AI-ready”

To ensure that recommendations, Merchant Center features, and automations work:

  • Clean up product data: precise titles, clear descriptions, good images
  • Structure categories logically
  • Maintain important attributes: sizes, colors, material, variants

USP: Well-structured product data is the basis for all smart targeting.

  1. Check tracking and data quality

Before AI can optimize, it needs clear signals of success:

  • Setting up GA4 and conversion tracking correctly
  • Measure important events: Add-to-cart, checkout start, purchase
  • Clean up and keep the product feed in the Merchant Center up to date

USP: Clean conversions are the most important training signal for Smart Bidding.

  1. Testing AI campaigns

Start small, learn, scale:

  • Performance Max for product catalogs
  • Demand generation for strong creatives and new target groups
  • Start with small budgets, then adopt best practices.

USP: AI gets better with your data — early testing accelerates growth.

  1. Use personalization

More relevance, better conversion rate:

  • Enable on-site recommendations
  • Use dynamic ads
  • Testing AI creatives when design resources are lacking

USP: Personalized recommendations shorten the path to the right product and increase the shopping cart value.

  1. Take reporting seriously

Regular evaluations determine your success:

  • Analyze search terms, target groups, creatives, and categories.
  • Identifying Funnel Weaknesses
  • Feedback on learnings in campaigns, feed and shop

USP: Whoever understands the data controls the AI, not the other way around.

  1. Bing Ads Tip

Many retailers underestimate Bing.

  • Approximately 5-10% additional sales are possible, especially in high-spending target groups.

USP: Less competition, lower click prices, high-spending audience, perfect complement to Google

Conclusion: AI is not the enemy — it is your strongest shop colleague.

Shop systems and AI work together today:

  • The shop provides data and products.
  • AI analyzes behavior and patterns.
  • Google Ads displays relevant products at the right time.

You can make the most of this new shopping world if you

  • You maintain clean product data
  • ensure stable tracking
  • uses AI features such as Performance Max, Smart Bidding, or dynamic ads.

In short: The cleaner the data, the better the AI ​​works — and the more relevant the recommendations become.

Conduct a Shopping & Google Ads audit with us now: We’ll help you with the questionnaire, the optimal shop configuration, and the right campaign settings.

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Authors

Gilbert Bork: over 20 years of experience in SEO and digital marketing

Selda Sunny: 3 years of experience in digital marketing, as well as in content writing and SEO

About LA Click

LA Click is one of the leading SEO and SEA agencies in Zurich.

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