Google now puts an AI agent inside Ads. It is called Ask Advisor, runs on Gemini, and Google describes it as helping build, optimize, and troubleshoot campaigns across surfaces (Google Marketing Live 2026).
That sounds impressive until your top campaign starts buying garbage traffic at 1am on a Sunday. Advice is not action. Search Engine Land’s coverage of Google’s earlier agentic features made the same distinction visible: campaign creation, optimization, and analysis still left a person to click Apply (Google Marketing Live 2025).
I use a narrow definition. A Google Ads AI agent needs three things that a recommendation engine does not:
Remove write access and you have an advisor. Useful, provided someone is around to take the advice. Remove the target and you have an assistant executing instructions, which means results still depend on the quality of those instructions. Remove memory and the system re-proposes the audience test that lost in March. Every March.
Most tools sold as AI for Google Ads have one of these three. A few have two. This is arithmetic, not philosophy: the more of the job a system genuinely owns, the less performance depends on how much uninterrupted human time the account gets this week.
Disclosure: I am Head of Product at groas, which sits at the autonomous end of this market. I also spent about a decade building match-type structures by hand, mining search terms at 1am, and paying for assisted tools from client budgets I had to defend line by line.
This is a comparison of autonomous bidding, budgeting, creative, and landing-page tools through those three tests. It also covers when an assisted platform is the smarter purchase, how agencies fit into the picture, and how to switch without setting your CPA on fire in week one.
If you have a dedicated PPC manager with eight clear hours a week and the real bottleneck is knowing what to change, buy a better advisor. You do not need an agent.
Start with the uncomfortable part. If you run Target CPA or Target ROAS, you already use software that passes all three tests. It has write access in every auction, works toward a target you set, and retains what it has learned. Pause a campaign for six weeks and the strategy returns rusty because its recent memory has gone stale.
Smart Bidding is a real agent. Its box is just small. It decides what to pay for a click and little else. It will not notice that your top ad group has pointed to a 404 since Thursday. It will not write a new headline when the offer changes, mine the search-terms report for the plumbing query that burned $900 this month, or touch the page behind the click.
The question is not whether a tool uses AI. It is how much of the account it can run without you.
Here is the market sorted by that question, not by feature count. Read the scope column first.
| Category | Write access | Owns a target | Remembers | Scope of decisions |
|---|---|---|---|---|
| Smart Bidding, PMax, AI Max | Yes | Yes | Yes | Bids and placements |
| Ask Advisor and in-product agents | Some, on approval | No | Partly | Setup, creative, and diagnostic suggestions |
| Scripts and automated rules | Yes | No | No | Whatever threshold you coded |
| Assisted platforms such as Optmyzr, Opteo, and Adalysis | On your click | No | Yes, in reporting | Bids, budgets, keywords, and ad tests |
| Autonomous agent platforms | Yes | Yes | Yes | Bids, budgets, keywords, ads, and pages |
Scripts are the tier people mistake for autonomy because the code runs unattended. It does, and that is the problem. A script enforces a number you chose months ago: pause anything over a $60 CPA, raise budget on Fridays, alert me at 3x average spend. It has no view on whether $60 remains the right ceiling after your close rate changes.
I ran a folder of roughly a dozen scripts across client accounts for years. My honest audit: they saved maybe two hours a week and caused one incident a quarter. Usually the quiet kind, where logic kept executing against a report column Google had renamed.
Use rules and scripts for alerting, not judgment. Once a decision needs a target and memory of the last attempt, code alone is no longer enough.
I judged these tools on four things:
That last point is not petty. A vendor that hides pricing behind a demo call is telling you the number varies by what it thinks you can pay. In this category, it often scales with ad spend rather than the work involved.
Every product below is a legitimate purchase for somebody. Two are the right purchase for most readers, and neither is the most automated option.
My employer, so weigh this accordingly. groas passes all three tests and operates across campaign build, bidding, budget allocation, negative keywords, ad copy, and dynamic landing pages. It works across Google Ads and ChatGPT Ads.
Pricing is $999 a month, with the first seven days free, for up to $15,000 in monthly ad spend across unlimited ad accounts and campaigns. The trial starts when the engine goes live after onboarding, not when you enter a card. That is a mechanic I would insist on from any vendor.
You set the budgets and guardrails. The engine acts inside them. Weekly reporting records what changed, why it changed, and what happened next. The outcomes we publish include 52% more appointments at 31% lower CPA in 30 days for a cleaning-services account. Those are our numbers from accounts we ran. I would still ask any vendor, including us, for examples that went sideways.
groas is for teams that need the account worked continuously, not another queue to maintain.
Who should skip it?
Optmyzr is the best-built assisted platform in this category. I would still buy it tomorrow for one specific job: applying the same considered change across a few hundred campaigns without fat-fingering it.
Its rule engine and Shopping tools hold up. Its wasted-spend analysis finds issues faster than I do. Most importantly, it is honest about what it produces: a prioritized queue of decisions waiting for a human.
G2 lists Essentials from $209 a month when billed annually, with higher tiers for multi-account work. I would still confirm the current price directly with Optmyzr. This market reprices quietly.
Optmyzr makes a competent operator faster. It does not replace the operator. That is not a weakness. It is the product.
Opteo is the assisted tool I have handed to a marketing generalist and watched them use. Its recommendations read like a colleague explaining the reasoning, rather than an alert code firing. When one person owns paid search, email, and the website, that clarity can matter more than breadth.
Adalysis goes deep in a different direction: ad and RSA testing, plus account audits with statistical rigor behind which variant won.
Neither pretends to run the account. Both are inexpensive compared with the labor they assume. That is the calculation to make before signing: at $75 an hour, four hours a week clearing a queue means $1,200 a month of work sitting behind the software fee.
Do not price the tool without pricing the operator it still requires.
A cohort of products launched since 2024 uses the same language we do. Some will be good. I cannot tell you from the outside which ones, and neither can a review roundup. Autonomous does different work on different websites.
So run this test in every demo. Run it on groas, too:
A system that genuinely acts should show dozens of timestamped decisions, reasoning attached, and no human in the approval column. A system that advises will show a handful of changes, often applied together by a person.
The change log is more useful than the demo. Vendors who cannot answer the first question are selling a bid tool. Vendors who dodge the last are likely selling a percentage of your budget with a software badge on it.
Search AI Google Ads agency and you will find shops whose AI is a subscription they pay for and you do not see. That is not a conspiracy. It is the white-label market working as intended. We are part of it: groas runs under agency brands, with reports carrying the agency’s logo.
I have no issue with an agency charging for judgment, client management, and being on the hook. I have an issue with the arithmetic that often follows.
At $20,000 in monthly spend, a 15% retainer is $3,000 a month. If execution underneath is a machine on a flat fee, you are paying roughly $2,000 a month for the layer between you and it. The honest question is what that layer does on the days nothing goes wrong.
Ask your agency which platform executes work in your account. A good agency will tell you, then explain what it adds. Silence is its own answer.
The choice is narrower than the market makes it seem:
The common mistake is buying the second thing at the price of the first: a percentage retainer that covers work automation now handles cheaply, while strategic help arrives as a quarterly slide deck.
A switch rarely fails because of the technology. It fails because someone hands a fast system a vague goal, or leaves old automation running beneath it. I have seen a script and a new platform fight over the same budget for four days, each politely undoing the other’s work while everyone blamed the AI.
Use this order, whichever vendor you choose:
Step five is the one people skip, and it causes most of the horror stories.
There is no universal answer. There is a short answer for each situation, and I would rather commit to those than hide behind “it depends.”
One final point about Google’s own agents, because that is where this started. Ask Advisor will improve, and it costs nothing, so use it for diagnostics, policy troubleshooting, and asset generation. Just stay clear on whose target it serves. Google’s agent lives inside Google’s interface and sells Google inventory. It has no view on whether your third-best channel should receive the money instead.
An independent agent can be pointed at your CPA and held to it. That distinction matters more as the work moves from your hands to software.
Pick two vendors this week. Ask each for seven days of raw change log from a live account, with the approver on every row. You will learn more from those two screenshots than from every comparison table published this year, including mine.
