Google Marketing Live 2026 Releases: A Blunt Review from Performance Marketers

Google has dropped a lot of new features in Q2 2026, with the biggest wave arriving at Google Marketing Live in May. For performance marketers, keeping up with these releases is not optional. The platform is shifting fast, and the teams that understand what is changing will have a real advantage over those playing catch-up. 

TL;DR

• AI was a major theme coming out of the updates - with AI-led campaign creation, bidding, budgeting, and creative features announced
• Google had more relevant updates for lead gen accounts than we’ve seen previously (especially for B2B)
• Not all of the updates are universally available yet, with planned rollouts throughout the year
• Marketers should continue to test Google rollouts with a healthy dose of skepticism - AI Max, PMAX and Demand Gen are still being iterated on, so they should never be used in a set it and forget it vacuum
• The basics are still important - clean conversion tracking that includes offline data, rigorous negative keyword scrubs, and testing with governance
  
  

To break it all down, our performance marketing team gathered for an internal knowledge share. Team members Nathan Murdock, Gustavo Brito, Michelle Howard-Ta, Laura Schiele, Jen Shaw, Olivia Wesel, and Ashley Ali, each analyzing the major releases from Google’s annual product event for advertisers and marketers.

What follows is a summary of what they covered, what we think matters most, and how we are approaching these Google Ads features with clients.

Quick Reference: Key Google Ads Updates from Q2 2026 (Some Not Universally Released)

How AI-Powered Ad Formats Are Changing Search Ads

The biggest shift Nathan Murdock flagged is that Google is starting to generate ad experiences directly inside AI-powered search responses. That means your website content is becoming a bigger input into paid search performance. In order to show up in these formats, advertisers need to be utilizing Performance Max and AI Max. 

What are Conversational Discovery Ads and Highlighter Response Ads?

Conversational Discovery Ads appear inside AI-generated responses to user queries, while Highlighter Response Ads show up as sponsored recommendations within AI-generated lists. Both formats pull heavily from website content and existing ads to build more contextual ad experiences.

The practical implication is significant: Google’s AI is sourcing ad messaging directly from your website. If your pages are thin, outdated, inconsistent, or misaligned with your paid messaging, that disconnect can show up in these new formats.

Nathan stressed that this is where SEO and paid search are starting to merge in a very real way. Content quality is transcending organic search to become a key paid media input.

These formats currently require either Performance Max, also known as PMAX, or AI Max for Search. PMAX is Google’s automated cross-channel campaign type, while AI Max for Search uses broad match, advertiser assets, and generative AI to expand and customize Search campaigns.

Business Agent for Leads: Useful – If Your Website Is Accurate

Gustavo Brito covered Business Agent for Leads, which Google is positioning as a frictionless lead capture tool powered by a company’s existing website content.

Business Agent for Leads is a chatbot-style experience that draws from product pages, FAQs, and site content to answer user questions in real time. It ties into AI Max and PMAX and is expected to roll out more broadly by the end of 2026.

Gustavo’s recommendation is clear: treat website accuracy as a prerequisite before testing it. Because the bot generates responses from your content, outdated or misleading information becomes a liability.

For early tests, he recommends:

1. Starting with Tier 2 audience segments, meaning lower-risk secondary audiences rather than your highest-priority prospects.
2. Monitoring lead quality, not just lead volume.
3. Tracking how leads move through later conversion stages.
4. Watching for inaccurate or off-brand AI responses.

AI hallucinations are a real risk here, so ongoing oversight (which we always recommend) is especially critical.

AI Max for Search: Strong Potential, With Active Guardrails

Michelle Howard-Ta and Laura Schiele shared their experience running AI Max for Search. The results were mostly positive, but not without caveats.

AI Max for Search expands on traditional keyword matching, using broad match and generative AI to expand reach and dynamically customize ad text based on your asset library. It can help capture additional demand, but it needs clean data and close management.

Michelle’s testing on one client showed a slight dip in conversion rate, but higher volume and better overall efficiency for broad audiences. Laura has seen consistent improvements in conversion efficiency across accounts, but only when proper conversion tracking is already in place.

AI Max appears best suited for accounts with:

• Strong existing search volume
• Broad keyword targets
• Reliable conversion tracking
• Enough data for Google’s algorithm to learn from
• Active negative keyword management

Negative keywords are still non-negotiable. Michelle shared that increasing the frequency of negative keyword reviews has been one of the most effective ways to keep AI Max campaigns performing well.

AI Max for Search: Strong Potential, With Active Guardrails

Michelle Howard-Ta and Laura Schiele shared their experience running AI Max for Search. The results were mostly positive, but not without caveats.

AI Max for Search expands on traditional keyword matching, using broad match and generative AI to expand reach and dynamically customize ad text based on your asset library. It can help capture additional demand, but it needs clean data and close management.

Michelle’s testing on one client showed a slight dip in conversion rate, but higher volume and better overall efficiency for broad audiences. Laura has seen consistent improvements in conversion efficiency across accounts, but only when proper conversion tracking is already in place.

AI Max appears best suited for accounts with:

• Strong existing search volume
• Broad keyword targets
• Reliable conversion tracking
• Enough data for Google’s algorithm to learn from
• Active negative keyword management

Negative keywords are still non-negotiable. Michelle shared that increasing the frequency of negative keyword reviews has been one of the most effective ways to keep AI Max campaigns performing well.

AI Brief: More Control Over AI-Generated Messaging

Jen Shaw previewed AI Brief, a feature that lets advertisers input brand guidelines to guide how Google’s AI generates ad messaging and targeting within AI Max and PMAX.

AI Brief gives advertisers a way to steer AI outputs with messaging guidelines, keyword matching preferences, and audience controls. Jen sees this as a meaningful step toward regaining control over automated campaign output.

The feature also supports iterative testing with real-time previews, which should help reduce off-brand messaging. Once it rolls out fully, it should become a standard part of any AI Max setup.

Smarter Budget and Bidding Automation

Google’s newer budget and bidding tools are designed to shift spend based on demand, not just fixed daily limits.

Total Campaign Budgets

Total Campaign Budgets allow Google to distribute spend dynamically across days without exceeding the campaign’s overall budget. Jen explained that this can reduce the manual budget management that causes campaigns to miss high-intent moments when daily caps are hit too early.

Olivia Wesel highlighted its value for seasonal demand spikes, including back-to-school and Black Friday windows. The rollout is expected in the coming months, so teams should start thinking through how it affects monthly planning.

Demand-Led Pacing

Demand-Led Pacing adjusts spend upward during high-demand periods and pulls back during slower periods. The initial focus is shopping and e-commerce, but the same logic applies to lead generation.

Olivia suggested it could help smooth out the lead quality drops that often happen around holidays by automatically adjusting where spend goes.

Reliable conversion tracking is the foundation for any of this to work. Without strong signals, the AI has nothing useful to learn from. Although this isn’t a certainty, the team collectively noted the potential for Google to chew through budget quickly if its algorithm recognizes “higher demand,” which wouldn’t guarantee any pipeline impact.

In short, guardrails and frequent checks, particularly in the first stage post-release, are critical to ensure your spend isn’t burned up unexpectedly.

Journey-Aware Bidding

Journey-Aware Bidding is a beta feature that incorporates soft conversions, such as page views and newsletter signups, into bidding strategies. Instead of optimizing only toward last-click conversions, it considers earlier signals in the customer journey.

Jen and Olivia see this as especially useful for B2B clients, where sales cycles are long and conversion paths rarely move in a straight line.

The main requirement is conversion hygiene. Too many irrelevant signals will dilute the algorithm’s ability to optimize effectively.

Asset Studio: Faster Creative Testing, With Quality Checks

Asset Studio is Google’s AI-driven tool for generating headlines, descriptions, and other creative elements. It is expected to become fully available over the summer and gain video generation capabilities.

Olivia sees clear value for accounts without dedicated creative teams or for advertisers that want to run rapid creative tests without a design bottleneck.

The main concern is B2B tech. The tool tends to generate real-life lifestyle imagery, while many B2B tech brands perform better with more abstract or technology-focused visuals. It is worth testing, but the output needs close review.

Demand Gen Updates and the Display Transition

Ashley Ali walked through the updates coming to Demand Gen, Google’s campaign type for visual, video, and discovery-style demand generation.

New multi-modal video creation tools can produce a library of YouTube ads from answers to a simple set of questions. That should make it easier to scale video creative for prospecting campaigns.

Attribution is also improving. New tracking links brand search activity back to users who were exposed to Demand Gen ads, giving teams a cleaner view of how these campaigns contribute to pipeline beyond direct clicks. A View-Through Conversion bidding beta is also available, helping optimize for conversions that happen after an ad view rather than only after a click.

The most operationally significant announcement: Google Display campaigns are being phased out. By January 2027, display inventory is expected to be exclusive to Demand Gen campaigns. If clients are still running standalone Display, now is the time to plan the transition.

What Marketers Should Do Now

Across the knowledge share, a few consistent recommendations emerged.

First, fix conversion tracking before turning on more automation. AI Max, journey-aware bidding, demand-led pacing, and PMAX all depend on reliable signals.

Second, align website content with ad messaging. As Google pulls more from your site to build ad experiences, content accuracy directly affects paid media performance.

Third, start with controlled tests. Use lower-risk segments, monitor performance closely, and expand only when the data supports it.

Fourth, keep negative keyword management active. Broad match and AI expansion can drive efficiency, but only with guardrails.

Finally, prepare for Demand Gen now. If Display is still part of your media mix, start planning migration, creative, targeting, and measurement before the January transition. 

The Bigger Picture

Google is building a version of paid search where AI generates the ad experience, sources messaging from your website, manages budget pacing, adjusts bids across the customer journey, and creates creative assets.

The marketer’s job is increasingly about strategy, oversight, and input quality. The teams that build clean conversion tracking, aligned website content, and rigorous testing processes will be better positioned as these tools mature.

Want to talk through how these changes affect your account specifically? Reach out to our team for an AI Max readiness review, conversion tracking audit, Demand Gen transition plan, or website/ad messaging alignment check.

Frequently Asked Questions

What is AI Max for Search?

AI Max for Search is a Google Ads capability that uses broad match, advertiser assets, and generative AI to expand Search reach and customize ad text. It can improve volume and efficiency, but it works best when conversion tracking is reliable and negative keywords are actively managed.

What should advertisers do before testing Google’s new AI ad features?

Advertisers should first audit conversion tracking, website accuracy, and ad-message alignment. Google’s AI tools rely heavily on these inputs, so weak tracking or outdated website content can lead to poor optimization, low-quality leads, or inaccurate messaging.

Is Google Display going away?

Standalone Google Display campaigns are being phased out, with display inventory expected to move into Demand Gen by January 2027. Advertisers still running Display should begin planning their Demand Gen transition, including creative, attribution, bidding, and audience strategy.