May 2026 PPC Roundup: Google AI Mode Ads, Meta Creative Modifications, AI Traffic Growth, DSA Sunset, and the Meta vs Google Revenue Shift

Welcome to the May 2026 roundup. Five stories this month that I think every ecommerce advertiser needs to know about, ranging from Google quietly slipping ads into AI Mode, to Meta's AI tools modifying your creative without permission. Let me run through them all.

Google AI Mode Now Has Ads

This one flew under the radar for most advertisers, but it is a big deal.

Google is testing two new ad formats inside AI Mode: Sponsored Stores and Direct Offers. Sponsored Stores appear inside AI Mode product detail panels, while Direct Offers let advertisers embed discounts directly into AI-generated responses.

Here is the critical part: these placements work through your existing Shopping and Performance Max campaigns. There is no new campaign type you need to create. If you are already running Shopping or PMax, you may already be appearing in these placements without realising it.

What determines whether you win placement? It is not bid levels. Google is prioritising clean product feeds and strong structured data quality. This means your feed hygiene, your product titles, your descriptions, your attributes, and your structured data markup are what matter most for visibility in AI Mode.

Separately, Google also announced AI Max is now expanding to Standard Shopping campaigns, extending your reach into conversational, open-ended queries that traditional Shopping campaigns would never have matched against.

What to do now

Audit your product feed. Make sure your titles are descriptive and keyword-rich, your product attributes are fully populated, and your structured data markup is clean. This is the single biggest lever you have for winning AI Mode placements.

Meta's AI Tools Are Modifying Your Ad Creative Without Permission

This story made me genuinely uncomfortable.

Multiple advertisers are reporting that Meta's AI tools are making unauthorised modifications to their ad creative. The most notable case involves Snag Tights, where AI-generated tweaks actually distorted their product images. Meta is also adding unexpected AI testing budgets to campaigns without explicit advertiser consent.

On top of this, Meta's Andromeda ad retrieval system overhaul is changing the underlying mechanics of how ads are matched to users. And separately, Meta's Manus AI agent is showing up inside Ads Manager with the capability to manage campaign decisions autonomously.

The broader pattern here is clear: Meta is pushing automation aggressively, and it is coming at the expense of advertiser oversight and control.

What to do now

Go into your Meta Ads Manager and review your active ads for any unexpected creative variations. Check whether any AI-generated budget allocations have appeared that you did not approve. If you spot anything odd, document it and report it through the proper channels. I would also recommend checking your ad previews regularly rather than assuming what you uploaded is what is running.

AI Traffic to Retailers Up 393%

Adobe data shows that AI-driven traffic to US retailers increased 393% year-on-year in Q1 2026. That number alone is striking, but the quality of this traffic is what makes it really interesting.

AI visitors spend 48% longer on site, browse 13% more pages, and generate 37% more revenue per visit compared to traffic from other sources. This is not junk traffic; it is high-intent, high-value traffic.

Shopify Agentic Storefronts activated by default for eligible US merchants on 24 March 2026, feeding product data directly into ChatGPT recommendations. Amazon Rufus is doing something similar on the Amazon side. And Google AI Mode, as I covered above, is now showing Shopping ads directly in conversational results.

Here is the catch: having strong organic rankings or even 4.8-star reviews does not guarantee visibility in AI recommendations. AI evaluates product data quality independently. Your products might be completely invisible to AI-driven shopping despite performing well in traditional search.

What to do now

Open your Google Analytics and look for AI referral traffic. Compare its conversion quality against your other traffic sources. Then review your product data across all platforms, because the signals that drive AI recommendations are different from the signals that drive traditional SEO or paid search performance.

DSA Is Going Away in September

Google has officially confirmed that Dynamic Search Ads will transition to AI Max for Search campaigns, with Google beginning auto-upgrades in September 2026.

Starting from 15 April, new tools have been made available to help advertisers transfer DSA settings and data into standard ad groups. The transition roadmap gives you several months to migrate on your own terms before Google forces the change.

Important distinction: AI Max for Search is not Performance Max. It keeps you in the Search channel while layering in AI-driven query expansion. Think of it as DSA's replacement that uses AI to match against a broader range of conversational and open-ended queries, but without the black-box, multi-channel nature of PMax.

What to do now

If you are running DSA campaigns, start your migration now. Use the new transfer tools Google has provided to move your DSA settings into standard ad groups. Do not wait until September when Google will auto-upgrade you, because forced migrations rarely go smoothly, and you lose control over how your campaigns are restructured.

Meta Projected to Surpass Google in Ad Revenue for the First Time

This is a historic shift in the advertising industry.

eMarketer projects that Meta will surpass Google in global advertising revenue for the first time ever in 2026. The numbers: Meta is forecast at $243.46 billion versus Google's $239.54 billion. Meta is growing at 24.1% year-on-year compared to Google's 11.9%.

Where is this growth coming from? Instagram Reels now accounts for 33% of all Instagram ad impressions. Meta's Reels ad product is running at a $50 billion annual rate, and Advantage+ sits at a $60 billion annual run rate. The Reels and AI-powered automation products are driving enormous revenue.

On the Google side, Alphabet's Q1 2026 earnings confirmed Search revenue up 19% and YouTube up 11%, but both came in below analyst targets.

What this means for your strategy

The revenue inversion validates something many advertisers have felt for the past year: Meta's advertising products are genuinely performing, and the platform is earning its growth through results rather than just market position. If you have been hesitant about increasing Meta spend or testing Reels placements, this macro data suggests the broader market has already made that move.

Conclusion

Five major developments this month that ecommerce advertisers need to act on:

1. Google AI Mode Ads are live through existing Shopping and PMax campaigns. Feed quality determines placement, not bids. Audit your product feed now.

2. Meta's AI creative modifications are happening without explicit advertiser consent. Check your Ads Manager for unexpected variations and budget allocations.

3. AI traffic to retailers grew 393% year-on-year with significantly higher conversion quality. Check your analytics for AI referral traffic and review your product data quality across platforms.

4. DSA is being sunset in September 2026 with auto-upgrades to AI Max for Search. Migrate on your own terms before Google forces the change.

5. Meta is projected to surpass Google in global ad revenue for the first time ever. The shift validates Meta's investment in Reels and Advantage+ automation, and is worth considering in your budget allocation decisions.

How to Fix Failing Google Ads for Ecommerce: The PMax Feed-Only Strategy for Beauty and Cosmetics Brands

I recently had a consulting call with a beauty and cosmetics ecommerce brand, and the conversation was so packed with lessons that I wanted to share the key takeaways with you. Because frankly, the mistakes they were making are ones I see all the time, and the fixes are surprisingly straightforward.

Here is a quick snapshot.

This brand sells around 600 to 700 SKUs, targets busy mothers, and has two customer segments: high-value customers purchasing full makeover packages ($150 to $300) and single-item buyers ($19 to $21 each). They were crushing it on Amazon with a 4 to 4.5x ROAS, but Google Ads was a disaster. Their ROAS was sitting at a painful 0.3 to 1.1x despite spending $100 a day for months.

So what went wrong, and how did we fix it?

Let me walk you through everything.

They Gave Google Everything It Asked For

This is the number one mistake I see ecommerce brands make with Performance Max. They followed Google's recommendations to the letter: loaded up 30+ images, videos, headlines, and descriptions. They gave Google every single asset type it requested.

And Google rewarded them with a 0.3x ROAS.

Here is the thing. When you hand Google that many variables to play with, the algorithm has no idea what to prioritise. Your budget ends up scattered across YouTube, Display, Discover, Gmail, Maps, and Shopping. For a $100 per day budget, that is a recipe for failure. Too many channels, too many creative combinations, and nowhere near enough data for any single element to optimise properly.

On top of that, their product titles were generic Shopify defaults rather than keyword-rich titles like they were using on Amazon. And their Merchant Centre was occasionally showing 15,000 products instead of their actual 600 to 700 SKUs, which is a data feed issue that needed sorting out.

The Fix: PMax Feed-Only

My primary recommendation was to strip everything back and run Performance Max in feed-only mode.

What does this mean? You attach your product feed to PMax, but you do not provide any videos, headlines, descriptions, or images. None of it.

When you do this, Google can only run Shopping ads. It cannot show your ads on YouTube, Display, Discover, Gmail, or Maps. You are forcing all of your budget into the single highest-intent channel available.

This dramatically simplifies your setup and your optimisation. Instead of trying to figure out which of your 30 images and 15 headlines are working or failing, you have one lever to pull: your product feed. It focusses your spend on the lowest-hanging fruit, which is people actively searching for products like yours.

Start With Your Top 20% of Products

The next piece of advice was equally important: do not throw your entire catalogue at Google from day one.

Start with your top 20% of SKUs only. Your best sellers. The products you already know people want to buy. Include all colour variants of those top sellers, because each variant counts as a separate product and gives you more opportunities to appear in search results.

This is a critical point. If you have a lipstick that comes in 12 colours, each colour variant should be a separate product listing. More variants means more chances to show up when someone searches. This brand was already doing something similar on Amazon, so applying the same logic to Google Shopping was a natural step.

Only expand to additional products after you have proven profitability with your best sellers. Let PMax prove itself before you add complexity.

Your Product Titles Are Your Biggest Lever

If there is one thing I want you to take away from this, it is this:

Your product titles in Google Shopping are essentially your keyword targeting.

Google matches search queries to the words in your product titles. If your titles are generic, you are invisible for the searches that matter.

The fix is to create a supplemental feed to customise your titles without changing anything on your actual website. Google Shopping allows up to 150 characters in product titles (compared to 200 on Amazon), so you have plenty of room to stuff in relevant keywords.

Think about how your customers actually search.

If you sell a "Rose Glow Foundation," your Shopify title might just say exactly that. But your Google Shopping title should include terms like "lightweight foundation for mature skin," "dewy finish," "full coverage," and whatever other attributes your customers search for. The same keyword-stuffing approach that works on Amazon works brilliantly on Google Shopping.

One more note on images: only your primary product image shows in the main Shopping placement. Secondary images only appear if someone clicks through to the Google Shopping tab, which is rare. So focus your image optimisation efforts on that primary image.

Bidding Strategy: Keep It Simple

Do not set a Target ROAS at the beginning. I know this feels counterintuitive, but hear me out.

Control your performance through your daily budget instead. Here is how that works in practice:

If your ROAS is high (say 10x), you can raise your daily budget to scale up. More budget means more spend and more sales, but your ROAS will naturally decrease as you scale. Only increase your budget when you are comfortable with that ROAS coming down.

Add a Target ROAS later, once you have established enough data for the algorithm to work with properly. Trying to set targets before you have conversion data is like asking someone to hit a bullseye blindfolded.

Run Branded Search as a Separate Campaign

Here is something that surprised this brand owner: feed-only PMax has no search component. It only runs Shopping ads. So if you want to capture branded searches, you need a separate campaign for that.

And yes, you absolutely should capture branded searches.

I know what you are thinking. "People searching for my brand will find me organically anyway." But branded organic CTR is only 30 to 50%, not 100%. That means 50 to 70% of people searching for your brand name are not clicking on your organic listing.

A branded search campaign captures that remaining traffic, and the economics are fantastic: expect 10x ROAS or better, with cheap clicks and sky-high conversion rates.

What You Do Not Need to Worry About

This is my favourite part of the conversation, because so many advertisers waste time and energy on things that barely move the needle. Here is what you can safely ignore when starting out:

• Customer lists and Klaviyo syncing have minimal impact at this stage.

• Retargeting campaigns can be handled separately later, if at all.

• New customer acquisition bidding is a feature to save for later.

• Negative keyword lists are not as important as commonly believed.

• YouTube advertising requires video creative and is not essential.

• Individual product search campaigns unless a product has 10,000+ monthly searches.

Focus on the fundamentals first. PMax feed-only plus branded search. That is your entire Google Ads account to start.

Use Strikethrough Pricing, Not Coupon Codes

If you run promotions, strikethrough pricing is far more effective than coupon codes for Shopping ads. Google automatically picks up Shopify sale prices, so if you mark a product down from $20 to $17, that strikethrough shows up right in the Shopping ad.

Coupon-based discounts require manual setup in Merchant Centre promotions, which is fiddly and less visually impactful. Strikethrough pricing drives higher click-through rates because shoppers can see the deal instantly without needing to apply a code.

Realistic Timeline Expectations

Expect breakeven ROAS within two months maximum. For Shopping ads, it is often achievable within one month. A 3x ROAS is a reasonable target by month two. And if you are aiming for scale, a 1.2x ROAS target is actually healthy and allows you to push significant volume.

If you are not seeing breakeven by month two, something is fundamentally wrong and needs investigating.

The Two-Campaign Formula

To bring it all together, here is your starting Google Ads setup:

1. PMax feed-only with your top 20% of products, no Target ROAS, budget as your primary control lever

2. Branded search as a separate campaign, expecting 10x+ ROAS

That is it. Two campaigns. Simplify your approach, prove profitability with your best sellers, invest in keyword-optimised product titles through a supplemental feed, and expand only after you have the data to back it up.

Conclusion

The biggest lesson from this consulting call is that simplicity wins. This brand had been spending months and tens of thousands of dollars following Google's full PMax recommendations, and it was not working. The fix was to strip everything back: feed-only PMax with top-selling products, a separate branded search campaign, keyword-optimised product titles through a supplemental feed, and patience to let the data build before setting ROAS targets. Use your daily budget as the primary control lever, focus on strikethrough pricing over coupon codes for promotions, and ignore the advanced features until the fundamentals are delivering results. Two campaigns are all you need to start proving that Google Ads can work for your ecommerce brand.