AI ad management

AI ad management means using AI to do the repetitive, time-consuming parts of running paid campaigns - analysis, reporting, and executing changes - so you spend your time on judgment instead of clicks. The honest version of this is specific about where AI genuinely helps and where it does not. This hub collects that perspective and the articles behind it.

What AI is genuinely good at

AI saves real time on the work that is structured and repeatable: summarising what happened in an account, drafting a first-pass analysis, and turning a plain-language request into an action. "Pause the campaign with the worst ROAS this week" or "raise the budget on the winning ad set by 20%" is a clear instruction a model can carry out reliably. Reporting is the clearest win - a well-built system writes the summary so you do not assemble a deck by hand every week.

Where AI is overhyped

AI does not replace account strategy, creative judgment, or knowledge of a specific client's business.

Treat AI as a fast first draft you edit, not an autopilot you trust blindly.

The teams that get the most from it restructure their workflow around the parts AI does well - and keep a human on the decisions that need context the model does not have.

How Consultad uses AI

Consultad is chat-driven: you describe the change and it runs the write action on Meta, Google, or TikTok - create, pause, resume, update budget - with every change recorded in an activity log. Reports are generated with a plain-language AI summary and delivered to the recipients you configure. The point is not to hand the account to a black box; it is to make the routine work fast while keeping you in control, with a clear record of what changed.

Start where you are

A 14-day free trial, no card required to start. After the trial you pay a percentage of the ad spend you manage, from a 149 PLN/month minimum.