Your campaigns need decisions in seconds. Your team makes them in days.
We build autonomous systems on Claude models from Anthropic that act on live data. They trim search queries, suppress underperforming products, and shift budget, all within guardrails you approve upfront. Humans set the rules; the agent executes them.
What the system actually covers
Real-time search query management
Search term reports refresh every day. Irrelevant queries pile up every day. Manual cleanup is always a week behind. We build an agent that watches the flow of search queries, applies your rules on purchase intent, and adds negative keywords or adjusts match types without waiting for the weekly review. Your budget stops leaking and stretches further.
Suppressing and boosting products
Not every product in your feed deserves the same budget. We set rules that automatically suppress low-margin or out-of-stock items, boost seasonal and high-intent products the moment conditions call for it, and re-prioritize campaigns based on today's stock and margin data, not a spreadsheet from last month.
Autonomous bid and budget shifts
Smart Bidding handles the small adjustments. We handle the layer above it: shifting budget between campaigns as performance signals change, adjusting targets when external conditions shift (promotions, seasonality, competitor activity), and catching the moments when Smart Bidding is optimizing toward the wrong signal. Changes happen within limits you set; we watch the boundaries and step in when it matters.
Creative briefs generated by a language model
When performance data shows what's resonating (which angles, which audiences, which formats), we use a language model to translate that signal into creative briefs. Not a template, but a structured brief that reflects your brand voice, your account's data, and the specific gap the next creative needs to fill. Faster iteration without losing human judgment over what actually gets produced.
What building a system like this looks like
Data infrastructure
Before an agent can act, it needs clean, reliable data. We audit your data layer: ad platform APIs, feed sources, stock signals, and conversion data. We build the connectors and constraints the system needs to have something solid to work with.
Designing the guardrails
You set the rules. We translate them into structured constraints: spend floors and ceilings, exception lists, purchase-intent thresholds, and escalation conditions. The agent operates within these limits and flags anything it can't resolve on its own for human review.
Build and test
We launch the system in shadow mode first, where every decision is logged but nothing gets executed. You see what the agent would have done before it gets live access. Once the decisions check out, we flip the switch. No surprises.
Oversight and improvement
We monitor the decision log, review edge cases weekly, and tune the guardrails as your account and business evolve. The agent only gets better as the rules get sharper. You keep control; we own accountability for what the agent does.
A system like this pays off when decision speed is what matters.
Your account moves faster than your team can react
Large product catalogs, high search volume, or a packed promo calendar create a lag that weekly optimization never fully catches up on. If you're making budget calls on data that's a week old, an agent layer closes that gap without you hiring more people to stare at dashboards.
You have reliable data but manual processes that can't scale
A system like this is only as good as the data underneath it. If you have clean tracking, an accurate feed, and well-defined business logic, but not enough hours in the day to execute on it, this is the right problem to automate.
You want accountable automation, not a black box
Smart Bidding is a black box. It optimizes for whatever Google tells you it's optimizing for. Our systems log every decision, explain the reasoning, and leave you full room to intervene. You know what ran, why it ran, and what you'd change. Most automation doesn't work that way. Ours does.
Tell us where your account moves faster than you can keep up.
Write to us about how you optimize today and where you're falling behind. We'll tell you straight whether a system like this would actually move the needle, or whether it would be solving the wrong problem.
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