Google’s search revenue growth slowed to 12% in the latest quarter, yet queries are growing at their fastest rate in five years. The money is moving into AI-driven formats. If you buy search, AI smart bidding tools now decide where your budget lands in places you cannot see. This review covers what the tools do, where they fail, and how to test them.
What “smart bidding” means once the query is no longer a keyword
Classic Smart Bidding set a bid per auction. The generative era changes the input. Queries are longer, more conversational, and often multimodal. TechCrunch reported that Sundar Pichai said queries in AI Mode are three times longer on average than traditional searches.
A keyword list cannot anticipate that. So the bidder now sits on top of a matching layer that decides which queries you enter at all. That matching layer is where most of the risk sits.
One scope note. This review focuses on Google’s stack (AI Max and value-based bidding) because it is the one with official documentation I could verify. Third-party bid managers deserve the same scrutiny, and the checklist below applies to them too.
AI Max for Search: broad reach, real controls
Google positions AI Max as a one-click suite of targeting and creative enhancements. Google’s launch post says advertisers typically see 14% more conversions or conversion value at a similar CPA or ROAS, rising to 27% for campaigns still mostly on exact and phrase match. Treat those figures as a ceiling, not a forecast.
The suite has three parts:
- Search term matching: expands beyond your keywords using broad match and keywordless technology.
- Text customization: generates headlines and descriptions from your landing page, ads, and keywords.
- Final URL expansion: sends users to the page the system judges most relevant.
The more recent number is smaller and more honest. In its update on the Dynamic Search Ads transition, Google says using the full feature suite averages 7% more conversions or conversion value at similar CPA or ROAS, compared with search term matching alone. Read that carefully. It is a comparison between two AI Max configurations, not against your current setup.
That 7% comes from Google’s comparison of the full AI Max suite with search term matching alone. It does not tell you what AI Max will do against your existing, tuned campaigns. Only a holdout test can.
The controls that matter to brand teams
For brand strategists, the control set is the real product. Google’s launch post lists brand controls at campaign and ad group level, so you can name brands you want to be associated with or avoid. It also lists locations of interest, a URL parameter for search term visibility across match types, and asset removals for generated copy.
Why does this matter for a marketing leader? Generated headlines are published under your name. If your legal or compliance team reviews every claim in a regulated category, auto-generated text is a workflow problem, not a feature.
The timeline you cannot ignore
This is no longer optional experimentation. Google’s update says campaigns using automatically created assets and campaign-level broad match will auto-upgrade to AI Max starting in September 2026. It also says the Dynamic Search Ads sunset and auto-upgrade has been extended and will begin in February 2027.
Google says upgraded campaigns will be configured to mirror the legacy setup. Still, “mirror” is a promise about settings, not outcomes. Upgrade voluntarily, on your schedule, with a test design in place. Do not let the banner decide for you.
Value-based bidding: only as smart as your values
AI Max governs reach. Value-based bidding governs how hard you chase each conversion. Google’s help documentation explains that it covers Maximize conversion value, with or without a Target ROAS, and differs from conversion-based bidding, which aims to maximize volume.
The prerequisites are where most brands stumble:
- Report two or more unique values. These can be revenue or proxy values such as a lead score.
- Hit the volume floor. The documentation recommends at least 15 conversions in the last 30 days for Target ROAS.
- Keep conversion delay short. Google recommends delays under 7 days and daily uploads for offline conversions.
- Pick one stage of the funnel. If the final sale lags too long, optimize toward a qualified lead instead.
Consider a B2B software brand that feeds every form fill into the bidder as a flat value of one. The system cannot tell a student from a procurement lead, so it optimizes for cheap form fills. Garbage in, expensive garbage out. Assigning lead scores from your CRM changes the outcome, which is also why the plumbing between ad platform and CRM deserves attention. Our piece on CRM access permissions covers the risks of opening that pipe.
Ads inside AI answers: where bidding gets murky
Google is expanding ads in AI Overviews and AI Mode. According to TechCrunch, Philipp Schindler said click-through rates for sponsored product listings in AI Mode are already comparable to those for organic listings. That is an executive claim on an earnings call, not an audited benchmark. Ask for placement-level reporting before you believe it for your account.
Visibility in generative answers also has an organic side. If you are weighing both, see how to vet mention rates and how answer engine fixes hold up under scrutiny. Paid and organic presence in AI answers should be planned together.
A scorecard for evaluating any AI bidding tool
Whether you run Google’s native bidder or a third-party layer, score it on these dimensions:
- Signal quality: What values and conversion events does it accept, and how fast?
- Query transparency: Can you see the search terms, landing pages, and generated assets that drove spend?
- Brand safety controls: Can you exclude brands, locations, and wording, and remove generated text?
- Incrementality proof: Does the vendor support holdouts, or only platform-reported ROAS?
- Exit cost: If you leave, what historical data and settings come with you?
The incrementality point deserves emphasis. Platform-reported conversions grade their own homework. Before you scale, read our guide to incremental ROI claims and set up a geo or campaign-level holdout. If the lift disappears under a holdout, the “extra” conversions were probably branded demand you would have won anyway.
Judge an AI bidder by what it adds beyond demand you already owned, not by the conversions it reports.
A 30-day test plan
Start with one campaign that has stable volume. Split it so half runs your current setup and half runs AI Max with the full suite. Set brand exclusions and text guidelines on day one. Review the search terms report weekly, and remove generated assets that overstate claims.
At day 30, compare conversion value per dollar, new-customer share, and the share of spend on branded queries. If your measurement relies on stitched identity, check the foundation first. Our guide to which data pays back helps decide what is worth feeding the bidder.
What if volume is too low for a clean test? Then value-based bidding will likely be noisy too. Fix measurement before you buy intelligence.
FAQs
What are AI smart bidding tools?
They are bidding systems that use machine learning to set bids and often to expand targeting. In Google Ads, that includes Smart Bidding strategies such as Target ROAS and Maximize conversion value, plus AI Max for Search campaigns, which expands queries, generates text, and selects landing pages.
Is AI Max worth turning on for a brand with tuned exact and phrase campaigns?
Possibly, but test it. Google’s own data shows the biggest uplift for campaigns reliant on exact and phrase match, and that data is internal. Run a split test with brand controls on and judge incremental value, not reported conversions.
When is Dynamic Search Ads being replaced by AI Max?
Per Google’s updated announcement, campaigns using automatically created assets and campaign-level broad match auto-upgrade starting in September 2026. The Dynamic Search Ads sunset and auto-upgrade begins in February 2027. Check your account notifications for your exact schedule.
What data does value-based bidding need to work?
You need two or more distinct conversion values, which can be revenue or proxy scores. Google also recommends at least 15 conversions in the last 30 days for Target ROAS and conversion delays under 7 days. Offline conversions should be uploaded daily.
How do I keep generated ad copy compliant?
Use text guidelines and brand controls, review generated assets regularly, and remove any that overstate claims. Route regulated categories through legal review before enabling text customization.
Can I trust platform-reported results from AI bidding?
Use them as a signal, not proof. Platform numbers count conversions the platform claims credit for. Holdout tests and your own CRM revenue data show whether the spend produced incremental growth.
This week, pick one stable campaign, build a 50/50 split with brand exclusions on, and agree on the incrementality metric with finance before the test starts.
Top Influencer Marketing Agencies
The leading agencies shaping influencer marketing in 2026
Agencies ranked by campaign performance, client diversity, platform expertise, proven ROI, industry recognition, and client satisfaction. Assessed through verified case studies, reviews, and industry consultations.
Moburst
-
2
The Shelf
Boutique Beauty & Lifestyle Influencer AgencyA data-driven boutique agency specializing exclusively in beauty, wellness, and lifestyle influencer campaigns on Instagram and TikTok. Best for brands already focused on the beauty/personal care space that need curated, aesthetic-driven content.Clients: Pepsi, The Honest Company, Hims, Elf Cosmetics, Pure LeafVisit The Shelf → -
3
Audiencly
Niche Gaming & Esports Influencer AgencyA specialized agency focused exclusively on gaming and esports creators on YouTube, Twitch, and TikTok. Ideal if your campaign is 100% gaming-focused — from game launches to hardware and esports events.Clients: Epic Games, NordVPN, Ubisoft, Wargaming, Tencent GamesVisit Audiencly → -
4
Viral Nation
Global Influencer Marketing & Talent AgencyA dual talent management and marketing agency with proprietary brand safety tools and a global creator network spanning nano-influencers to celebrities across all major platforms.Clients: Meta, Activision Blizzard, Energizer, Aston Martin, WalmartVisit Viral Nation → -
5
The Influencer Marketing Factory
TikTok, Instagram & YouTube CampaignsA full-service agency with strong TikTok expertise, offering end-to-end campaign management from influencer discovery through performance reporting with a focus on platform-native content.Clients: Google, Snapchat, Universal Music, Bumble, YelpVisit TIMF → -
6
NeoReach
Enterprise Analytics & Influencer CampaignsAn enterprise-focused agency combining managed campaigns with a powerful self-service data platform for influencer search, audience analytics, and attribution modeling.Clients: Amazon, Airbnb, Netflix, Honda, The New York TimesVisit NeoReach → -
7
Ubiquitous
Creator-First Marketing PlatformA tech-driven platform combining self-service tools with managed campaign options, emphasizing speed and scalability for brands managing multiple influencer relationships.Clients: Lyft, Disney, Target, American Eagle, NetflixVisit Ubiquitous → -
8
Obviously
Scalable Enterprise Influencer CampaignsA tech-enabled agency built for high-volume campaigns, coordinating hundreds of creators simultaneously with end-to-end logistics, content rights management, and product seeding.Clients: Google, Ulta Beauty, Converse, AmazonVisit Obviously →