Search advertising has gone through several big shifts over the years. First, advertisers relied heavily on exact keywords. Then Google introduced Dynamic Search Ads (DSA), which allowed campaigns to automatically match search queries based on website content. For many businesses, DSA became a simple way to capture additional search traffic without building large keyword lists.
But the search landscape is evolving again. Google is increasingly moving toward AI-driven campaign structures, where machine learning helps determine targeting, creative combinations, and bidding decisions.
This is where AI Max enters the picture.
For businesses currently using Dynamic Search Ads, the big question is no longer if they should migrate, it’s how to transition smoothly before DSA is eventually phased out or replaced by more AI-centric formats.
The good news is that many of the successful strategies used in DSA can still work in AI Max. The key is understanding how to replicate those elements within the new framework.
In this guide, we’ll walk through:
- How to replicate URL-only targeting inside AI Max
- How to convert your top-performing DSA categories into AI Max text customization rules
- A practical checklist to clean up legacy keyword structures before migration
Let’s start with a quick refresher.
Understanding the Difference Between AI Max and DSA
Before migrating campaigns, it’s important to understand how these two systems differ.
Dynamic Search Ads (DSA)
DSA campaigns automatically generate ads based on website content. Instead of relying entirely on keywords, Google scans your website and matches ads to relevant search queries.
Key features of DSA include:
- Automatic keyword discovery
- Dynamic headlines pulled from landing pages
- URL-based targeting options
- Category-based campaign structure
This made DSA especially useful for websites with large inventories, such as e-commerce stores, real estate listings, or travel websites.
However, DSA still relies on relatively simple automation.
AI Max Campaigns
AI Max campaigns represent the next stage of search advertising automation.
Instead of focusing on keywords or page categories alone, AI Max combines:
- Machine learning targeting
- Automated creative generation
- Predictive bidding strategies
- Contextual signals from user behavior
In other words, AI Max looks at intent signals, website content, user context, and performance data simultaneously to decide when and where ads should appear.
Because of this, migrating from DSA requires a slightly different mindset.
Instead of thinking only about keywords or URLs, advertisers now need to focus on signals and structured inputs that guide the AI system.
Why Businesses Should Prepare for Migration Now
Many advertisers are still comfortable with DSA because it has delivered reliable performance for years. However, waiting too long to migrate can create several problems.
1. AI Systems Need Learning Time
AI Max campaigns rely on data to optimize performance. If you delay the transition until the last minute, your campaigns may go through a longer learning phase.
Starting early allows the system to collect performance signals gradually.
2. Legacy Campaign Structures May Conflict with AI
Older accounts often contain:
- Duplicate keyword structures
- Outdated match types
- Overlapping targeting rules
These can confuse AI systems and reduce efficiency. Cleaning up your structure before migration improves results.
3. Early Adopters Gain Competitive Advantage
As more advertisers move toward AI-driven campaigns, those who adapt earlier gain valuable optimization data ahead of competitors.
This can make a noticeable difference in long-term performance.
Step 1: Replicating “URL-Only” Targeting in AI Max
One of the most useful features in DSA campaigns is URL-only targeting.
Instead of relying on keywords, advertisers could simply target specific landing pages. Google would then match search queries to those pages automatically.
Many advertisers worry that this level of control disappears in AI Max but it doesn’t. It just works differently.
How URL-Based Targeting Works in AI Max
AI Max allows advertisers to guide the system using content signals from landing pages.
To replicate URL-only targeting, follow these steps:
- Group related landing pages together
Create logical content groups such as product categories, property listings, or destination guides. - Provide landing page signals during campaign setup
These URLs act as guidance for the AI system. - Align ad messaging with the page content
The closer your ad copy matches the landing page topic, the easier it is for AI to match search intent. - Monitor query reports regularly
This helps confirm that traffic remains relevant.
Example
A real estate website might structure campaigns like this:
“Homes for Sale – Miami”
“Luxury Condos – Downtown Miami”
“First-Time Buyer Homes – Florida”
Each group contains relevant landing pages that guide the AI system toward the right audience.
This approach keeps the URL-based logic from DSA while allowing AI Max to optimize delivery.
Step 2: Converting DSA Categories into AI Max Text Customization Rules
Many advertisers using DSA rely heavily on category targeting.
For example, an e-commerce store might have DSA categories such as:
- Men’s running shoes
- Women’s jackets
- Winter accessories
Each category triggers ads related to that section of the website.
When migrating to AI Max, these categories should not disappear. Instead, they should evolve into text customization rules.
What Are Text Customization Rules?
Text customization rules allow advertisers to dynamically adjust ad messaging depending on context. Instead of one generic ad, AI Max can generate variations tailored to:
- Product categories
- Locations
- Promotions
- User signals
How to Transition DSA Categories
Here’s a simple method to convert existing DSA structures.
1. Identify Top-Performing Categories
Start by reviewing historical DSA performance.
Focus on categories with:
- High conversion rates
- Strong click-through rates
- Consistent search volume
These categories should become priority segments in AI Max.
2. Create Category-Specific Messaging
Instead of one ad for everything, create variations that match your old DSA categories.
Example:
Old DSA category:
“Beach Vacations”
AI Max text customization:
Headline variations:
- Affordable Beach Vacation Packages
- Top Coastal Resorts for Families
- Plan Your Perfect Beach Getaway
Description variations:
Discover beachfront stays, travel deals, and curated vacation experiences.
Explore handpicked resorts and coastal destinations.
This keeps messaging relevant while allowing AI to mix and match variations.
3. Use Landing Page Context
When customization rules reference landing page content, AI Max can generate ads that remain consistent with user intent.
This maintains the same category logic DSA advertisers relied on.
Step 3: Cleaning Up Legacy Keyword Structures
Before launching AI Max campaigns, advertisers should review their existing keyword structures.
Many accounts contain years of accumulated keywords that may no longer serve a purpose. Cleaning up these structures improves AI efficiency.
Common Issues Found in Older Accounts
- duplicate keywords across campaigns
- outdated match types
- overly segmented ad groups
- irrelevant legacy keywords
These structures were often built for manual optimization but can interfere with modern AI systems.
A Pre-Migration Cleanup Checklist
Before switching to AI Max, review your account using this checklist.
Remove Duplicate Keywords
Search accounts often contain multiple versions of the same keyword across campaigns. Eliminating duplicates reduces competition within your own campaigns.
Simplify Match Types
Older campaigns may include separate ad groups for:
- Exact match
- Phrase match
- Broad match
Modern AI systems work better with simplified keyword structures.
Consolidate Ad Groups
Some accounts contain dozens of small ad groups with minimal traffic. Combining related groups helps AI gather stronger performance signals.
Review Negative Keywords
Negative keyword lists should still be maintained carefully.
These help prevent irrelevant traffic even in AI-driven campaigns.
Update Landing Pages
Since AI Max relies heavily on page context, ensure your landing pages contain:
- Clear headings
- Relevant content
- Strong conversion signals
Well-structured pages improve ad relevance.
A Practical Migration Timeline
Businesses planning a migration should approach the transition gradually.
A simple timeline might look like this:
Week 1–2
- Audit current DSA campaigns
- Identify top performing categories
- Review keyword structures
Week 3–4
- Build AI Max campaign framework
- Create text customization rules
- Group landing pages logically
Week 5–6
- Launch pilot campaigns
- Monitor performance signals
- Adjust targeting inputs
Week 7+
- Expand AI Max campaigns
- Gradually reduce DSA dependency
This phased approach minimizes risk while allowing AI systems to learn.
Preparing Your Advertising Strategy for the AI Era
The shift from DSA to AI Max represents a broader change in digital advertising.
Campaigns are no longer managed entirely through manual keyword lists. Instead, success depends on providing high-quality signals that guide AI systems.
Advertisers who adapt their strategies now will find it easier to maintain performance during the transition.
The shift from Dynamic Search Ads to AI-powered campaign systems like AI Max shows how quickly digital advertising is evolving. Automation and machine learning are becoming central to how campaigns are managed and optimized.
Teams like Wibits Digital help businesses navigate these transitions by refining campaign structures, simplifying older setups, and preparing advertising strategies for AI-driven platforms.
