Google PMax Update: How Suggested Assets Change Your Asset Strategy

Google’s been quietly moving toward a more automated future for advertisers, and its latest update to Performance Max (PMax) campaigns is another big step in that direction. The new “Suggested Assets” feature, first spotted by Yash Mandlesha and shared across the PPC community, gives Google even more power to generate ad components for you, directly inside your Asset Groups. 

What Are “Suggested Assets” in PMax?

In its simplest form, the Suggested Assets feature is Google’s Machine Learning applying its vast dataset of search behavior, user intent, and ad performance to your specific campaign. 

Google’s AI:

• Analyzes your landing page URL
• Reviews existing asset performance
• Examines search query patterns.

The output is a set of brand-new, campaign-ready assets specifically tailored for your Asset Groups. This includes:

• Text assets: New headlines (short and long) and descriptions designed to align with user searches and your landing page content.
• Visual assets: Image suggestions, often sourced from your linked website or internal Google recommendations, ensuring visual relevance.
• Sitelinks: New sitelink suggestions, identifying high-value pages on your site that the AI believes are most relevant to the user intent, driving your PMax traffic.

The rollout of “Suggested Assets” signals a clear evolution in how Google expects marketers to interact with Performance Max. It’s an integral component of the platform’s ongoing drive toward automation, but with a critical difference: marketer control remains paramount.

Where to Find and Activate Suggested Assets

This feature is rolling out directly within the Asset Group creation or editing interface in your Google Ads account. When managing or setting up a new Asset Group, you will see a prominent prompt above your Asset fields: “View 30 suggested assets.”

The number of suggestions, often around 30 initially, will vary based on your existing assets and landing page analysis.

Upon clicking this prompt, you are presented with a streamlined dashboard to review the AI’s recommendations. The entire process is built for efficiency: you can quickly “add” or “dismiss” each suggestion with a single click, allowing you to curate your Asset Groups faster than ever before.

How the Feature Works: A Step-by-Step Walkthrough

The Suggested Assets is a seamless addition to the existing Asset Group interface, designed to interrupt your workflow as little as possible while providing maximum creative input. Here is the four-step process for activating and leveraging Google’s AI suggestions:

Step 1: Provide the Source

The engine that drives the suggestions is your content. The process begins when you define the Final URL (landing page) for your Asset Group.

Google’s AI will immediately begin analyzing this page. This means that to get the best suggestions, your landing page should be highly optimized, clearly structured, and rich in relevant keywords and messaging. The AI also leverages any connected feeds (like Google Merchant Center for retail campaigns) to enrich its suggestion pool.

Step 2: Google Crawls and Generates

Once the URL is input, Google’s sophisticated machine learning models crawl and digest all accessible data:

1. Text analysis: It identifies key phrases, value propositions, and compelling calls-to-action on the page.
2. Visual scrutiny: It scans for high-quality, relevant images suitable for ad creative.
3. Site structure mapping: It looks at your site navigation to suggest relevant sitelinks.

The result is a dynamically generated set of suggestions across various asset types—a key variation from older AI features that were often limited to text assets.

Step 3: Access and Review the Suggestions

You will be notified of the available assets directly within the Asset Group interface via the prompt: “View [X] suggested assets”

Clicking this button opens a review window where you can examine each suggestion individually. This interface allows for a side-by-side comparison with your existing assets, making it easy to spot potential improvements or overlaps.

Step 4: One-Click Decision-Making

This is where the human element takes charge. For every suggested asset, you have two simple, one-click options:

• Add: Incorporate the suggestion directly into your Asset Group. It will immediately become eligible to serve in your PMax ads.
• Dismiss: Permanently exclude the suggestion from this Asset Group.

You can quickly process dozens of suggestions without the need to manually copy, paste, or upload, thus maximizing the efficiency gains of the feature.

Why PPC Managers Should Be Excited

This new AI layer offers significant advantages, shifting the focus from manual labor to strategic oversight:

• Massive efficiency gains: Generating a complete, diverse set of PMax assets (especially images and multiple sitelinks) can be a time sink. Suggested Assets can provide a baseline set of high-quality creatives in seconds, potentially reducing the initial Asset Group setup time, especially for large accounts or those leveraging dynamic product feeds.
• The ultimate AI idea factory: Google’s AI has visibility into billions of real-time search queries and performance data. The suggestions it provides aren’t based on human gut feeling; they are hypotheses derived from proven search behavior. Even if you dismiss an asset, the suggestion itself offers a powerful data point or a new creative angle you hadn’t considered.
• Filling the gaps for maximum ad strength: The feature acts as an instant audit. It quickly identifies where your Asset Group is incomplete—for example, if you are missing a critical sitelink or a specific headline length—ensuring you reach the “Excellent” Ad Strength rating, which is vital for PMax performance.
• Control maintained: Despite the automation, advertisers still decide which assets go live, giving brands the oversight they need to protect tone, compliance, and messaging.

The Downside of Suggest Assets

While the efficiency gains from Suggested Assets are undeniable, they introduce significant management complexities and new risks to your budget. Embracing this level of AI automation without proper human oversight and strategic safeguards is the primary path to wasted ad spend and performance degradation. For PPC managers, the role is shifting from creator to auditor and protector.

Here are the critical downsides you must actively manage when adopting suggested assets:

• The brand voice risk: AI prioritizes performance metrics over abstract concepts like brand tone, legal nuance, or specific company policies. An auto-generated asset might be technically perfect for clicks, but miss your established brand voice or, worse, make non-compliant claims. Human review is non-negotiable: your PPC team must act as the ultimate brand guardian.
• Creative bloat and slowed learning: The ease of adding a large volume of suggestions can lead to asset bloat. An excess of “Learning” or “Low” performing assets in your Asset Group can confuse the PMax machine learning models, actually slowing down its ability to find the most profitable combinations. You must actively prune low performers and maintain a high-quality asset library.
• Keyword cannibalization and message drift: Suggested Assets are based on your landing page $ URL, but they don’t always consider the context of your entire Google Ads account. This can result in the AI generating messaging that directly conflicts with or cannibalizes conversions from a highly specific, profitable Standard Search or Display campaign. You need to verify message consistency across all channels.
• Amplified budget exposure to invalid traffic: The single biggest risk is the potential for hidden cost leakage. When you rapidly expand the number of assets and combinations, you inevitably increase your ad’s footprint across the entire Google network (including Display placements). This increased exposure provides more opportunity for invalid traffic—clicks from competitors, click farms, or bots—to drain your budget. Untested AI assets and their placements require intense monitoring.

How to Master Suggested Assets for Superior ROAS

The new Suggested Assets feature hands you a powerful lever for efficiency. However, treating it as a “set-it-and-forget-it” tool will guarantee suboptimal results. Your competitive advantage lies in being the strategic filter, the human layer that maximizes the AI’s potential while neutralizing its risks.

This is the actionable playbook for PPC experts to turn AI suggestions into superior ROAS:

Tactic 1: The ’70/30′ Review Rule

Never fall into the trap of accepting all suggestions immediately. Your commitment must be to strategic, not passive, adoption. Commit to reviewing at least 70% of the suggested assets individually. The “one-click” workflow is for speed; your manual review is for brand safety and strategic alignment.

When reviewing the suggestions, apply a quick-fire audit:

• For text: Does the tone align? Is the call to action clear? Does it perfectly match the messaging on the target landing page?
• For images: Are the quality and resolution excellent? Is the image unique and brand-relevant, or is it a generic stock photo?

Tactic 2: Strategic Rejection as Optimization

Your dismissals are just as important as your adoptions. Instead of just deleting an unwanted asset, use it as a diagnostic tool. If you dismiss a suggestion because it’s irrelevant or misaligned, ask yourself: Does this reveal a gap in my landing page copy? Is the AI misunderstanding the URL’s intent because the content is too vague or generic?

Use these insights to improve your landing page. A clearer, more focused landing page will lead to better AI suggestions in the future, improving campaign performance organically.

Tactic 3: The Sitelinks Goldmine (User Intent Discovery)

Pay particularly close attention to the sitelink suggestions. They highlight pages on your site that the AI associates with the PMax audience’s intent. These are pages the model predicts will drive higher conversions.

Verify the suggested landing page destination and value. If the AI is recommending a secondary product page over your main category page, test that hypothesis immediately.

Tactic 4: Test, Don’t Trust

AI suggestions are hypotheses, not guarantees. Every adopted asset must earn its place. Immediately move any adopted suggested assets into a PMax Asset Group Test (if available) or create a manual experiment by duplicating the Asset Group.

Specifically measure the asset’s impact on conversion rate and cost per acquisition (CPA). Simply looking at impressions or clicks is insufficient. If a suggestion is “Good,” but its CPA is too high, it needs to be pruned.

Tactic 5: Create a Rotation and Refresh Plan

With assets being so easy to generate, the risk of stagnation increases. A “perfect” asset today will eventually face creative fatigue. Use the PMax asset-level reporting (found in the “Assets” section of Google Ads) to monitor performance post-application. Sort by conversion rate and look for assets dropping from “Best” to “Good.”

Set a schedule to replace the bottom 10% of low-performing assets every 4-6 weeks with newly generated or suggested assets. This maintains a high velocity of testing and prevents your campaign from growing stale.

Conclusion

Google’s “Suggested Assets” feature in Performance Max campaigns automatically generates headlines, descriptions, images, and sitelinks based on your landing page content. This enhancement aims to streamline asset creation and improve ad relevance.

Now’s the time to audit your asset strategy. Review your landing pages, ensure they align with your brand voice, and prepare for increased automation in your campaigns.

Automation isn’t a threat—it’s an opportunity. When paired with control, relevance, and data-driven review, it can significantly enhance your campaign performance.

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