Pick almost any PPC automation tools roundup published this year and you will get the same list: Optmyzr, Adalysis, Opteo, Marin, maybe a mention of Google Ads Scripts at the bottom. What none of them tell you is that those tools are not competing with each other in any meaningful way. They sit in three different categories with different cost structures, failure modes, and agencies they fit.
After running campaigns across all three approaches and breaking each of them at least once, here is the comparison I wish someone had written before I bought my first $400-a-month seat. If you want the prior strategic question of what to automate at all, the PPC automation primer covers it.
Category 1: Free Google Ads Scripts
Google Ads Scripts have been around since 2012, and for a certain kind of agency they are still the most powerful PPC automation tool on the market. They run inside Google's infrastructure, they have direct access to your account data, and they cost nothing beyond the time it takes to write and maintain them. With AI coding assistants in 2026, that "time to write" number has dropped from days to hours.
What scripts genuinely do well: bid adjustments on a schedule, pausing underperforming keywords above a cost threshold, sending custom alerts to Slack, building bespoke reports for one client, and reallocating budget between campaigns based on intraday performance. Public script libraries (Free Adwords Scripts, Brainlabs, Mike Rhodes' collection) cover the standard playbook.
Where this breaks. Scripts break. Google updates the AdsApp object every few months, deprecates fields, or changes auth scopes, and your custom script silently stops running. No error handling unless you build it. No audit trail unless you log to a spreadsheet. And no one to call when the script handling month-end pacing across your top 12 accounts throws an exception at 11pm on the 31st.
Real cost. Zero in licensing. One to three days of senior developer time per script, plus ongoing maintenance. If you do not have a developer on the team, your effective cost is the freelance rate to fix every breakage, which usually arrives at the worst possible moment.
Who scripts fit. Agencies with an in-house developer or a technical media buyer who genuinely enjoys writing code, a Google-only or Google-heavy client base, and tolerance for fragility in exchange for control. If that is you, scripts will outperform any paid tool on the specific problems you choose to solve.
Category 2: SaaS Automation Tools
This is the category most people mean when they say "PPC automation tools." Optmyzr, Adalysis, Opteo, and Shape.io all sit here. They are paid platforms with polished interfaces, dedicated support, and feature roadmaps. You connect your accounts, you configure rules and recommendations, the tool does the work.
Credit where it is due. Optmyzr is the most established name in the space for a reason. Its optimisation engine handles n-gram analysis, bid management, budget pacing projections, and rule-based automation for Google and Microsoft Ads with a depth no script library will match without months of work. Opteo's recommendation feed is the cleanest UX in the category. Adalysis's quality score and A/B testing automation is something a script can technically replicate but practically will not. I used Optmyzr for over a year and got real value from it. If your agency runs exclusively Google and Microsoft Ads, Optmyzr may be all you need.
The real tradeoffs. SaaS tools are narrow on purpose. Optmyzr does not pace Meta budgets. Opteo does not touch LinkedIn. Adalysis does not do bid management. To cover the full stack you typically pay for two or three tools and stitch a workflow between them. Pricing also scales with spend under management, so a tool that costs $250 at 20 accounts costs $1,200 at 60.
Real cost. Optmyzr starts around $250/month. Adalysis is from $149/month. Opteo is around $129 per account per month. Budget $400 to $1,500 a month for a single tool at boutique-agency scale, and double that if you need two to cover both Google and Meta. The full tool comparison breaks pricing out by agency size.
Who SaaS fits. Agencies that want a polished, supported platform with predictable behaviour, that can afford to pay per tool per platform, and whose client base sits inside the two or three channels their chosen tool covers. The setup time is hours, not weeks. The output is reliable. You trade flexibility for stability, and for most agencies that is the right trade.
Category 3: AI Platforms
The newest entrants call themselves AI platforms rather than PPC automation tools, and the distinction matters. Pace, Smec (Whiteshark), Albert, and a handful of others are trying to build something broader: cross-platform pacing, anomaly detection, conversational queries against account data, automated investigations of why a campaign tanked overnight. Less "set a rule, run the rule" and more "describe the outcome, let the system work out the steps."
Credit first. Smec has been running AI-driven bid management for retail and ecommerce accounts longer than almost anyone, and the depth on shopping feeds is genuinely strong. Albert pioneered the autonomous campaign management concept. The newer AI platforms can answer questions about your account in plain language, surface anomalies a static threshold would miss, and cut the time you spend hunting through reports.
The tradeoffs, including for Pace. AI platforms are younger, the integration libraries are narrower, and "AI" in this category genuinely means different things at different vendors. Some are running real machine learning models on auction-time data. Some are wrapping rule engines in an LLM and calling it AI. The category is also still proving itself on the harder questions: can the AI actually explain its reasoning, or does it hand you a black-box recommendation you have to trust? We covered the broader version of that question in what AI in ad management actually does.
Being fair about Pace specifically: we are newer than Optmyzr or Marin, our integrations library outside the five core ad platforms is narrower than Skai's, and an agency that needs deep Amazon Ads automation today should look at Smec or Madgicx first. What Pace does well is cross-platform budget pacing with full audit trails and a conversational layer on top.
Real cost. Pace runs on a free 90-day trial then tiered pricing aligned to spend under management. Smec is enterprise-quoted, typically four figures monthly. Albert is enterprise-quoted, usually starting in the multiple thousands per month.
Who AI platforms fit. Agencies that run multiple platforms, want one tool rather than three, and are willing to evaluate AI claims critically. If you are still doing month-end pacing in a spreadsheet across Google, Meta and LinkedIn, this is the category that replaces that workflow. If you only run Google Ads and you love Optmyzr, you do not need an AI platform yet.
Decision Matrix: Which Approach for Which Agency
Here is the matrix I would hand to another agency owner asking which of the three approaches to start with.
| Agency profile | Best starting category | Why |
|---|---|---|
| Google-only, in-house developer | Scripts | Free, granular, fits the channel mix. Scripts will out-perform paid tools on the specific problems you choose to solve. |
| Google + Microsoft, no developer | SaaS (Optmyzr or Adalysis) | Polished, supported, deep on the two channels you actually run. No maintenance burden. |
| Cross-platform (Google + Meta + LinkedIn) | AI platform | One tool covers the stack instead of three. Pacing and reporting roll up across channels. |
| Meta-led performance shop | SaaS (Revealbot or Madgicx) | Built for the channel mix. Scripts are weak on Meta. Most AI platforms are still catching up on Meta-specific automation. |
| Enterprise retail or commerce | AI platform (Smec) or SaaS (Skai) | Depth on shopping feeds and retail media matters more than cross-platform breadth at this scale. |
| Boutique agency, 10 to 30 mixed accounts | AI platform, with scripts on the side | One paid tool to cover pacing across channels, plus free scripts for the bespoke jobs the SaaS will not touch. |
What This Means in Practice
The mistake I see most often is agencies treating these three categories as direct substitutes. A solo Google specialist buys a $400/month SaaS subscription they barely use. A 25-account cross-platform agency holds the stack together with three custom scripts written by a contractor who has since left. An enterprise retailer buys an AI platform that does not yet do the retail media depth they need.
The categories are layers, not alternatives. Plenty of mature agencies run scripts inside Google Ads, a SaaS tool for Google audit and recommendations, and an AI platform on top for cross-platform pacing. The wider list of Google Ads management tools covers the SaaS layer in more depth.
If you are evaluating the AI platform layer and your channel mix sits across Google, Meta, TikTok, LinkedIn and Microsoft, try Pace free for 90 days and see whether it earns its place. If it does not, you have lost nothing. If it does, you can stop maintaining three spreadsheets and two tools that almost talk to each other.
