You've already got a connector.
You still don't have a media buyer.
Plugging ChatGPT into your ad account is the easy part now — a dozen connectors do it. Knowing what to do with it every day, in the right order, with the right model for each job, and without breaking Meta's rules — that is AdLift.
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A chatbot can advise. It cannot operate. Account access used to be the moat, but connectors and MCP make it a commodity now, any model can read your data. What they cannot give it is the playbook: check for fatigue, respect Meta's learning phase, work out your break-even, ship the next batch of creative, and press the button. AdLift's agents are trained on exactly that, and they run it every day so you do not have to.
Same intelligence. Pointed and wired.
ChatGPT with a connector still leaves you as the operator. AdLift turns the same models into a team that runs the account.
One assistant runs one model.
AdLift runs a team.
A single chatbot pushes everything through one model — slower, pricier, weaker on the specialised jobs. AdLift routes each operation to the model that is best at it.
Powered by the frontier models you already trust — Claude, GPT and others. We just point each one at the task it is best at, and wire it to your account.
FAQ
The questions we hear most about Research. If yours is not here, reach out using the chat in the bottom-right corner.
Yes, and that is exactly the point. Connectors and MCP integrations are everywhere now, so account access is no longer a moat. Plugging a model in is the easy part. Knowing what to do with it every day, in the right order, with guardrails, is the hard part, and that is what AdLift is built and trained for.
No. AdLift orchestrates several frontier models, each pointed at the operation it is best at, on top of things a single chatbot does not have: a proprietary library of analysed competitor ads, Meta-aware execution logic, your brand kit, and one-click actions that actually run in your ad account.
Whichever is strongest and most efficient for each job. A vision model reads creative, a fast model tags and classifies ads at scale, a top reasoning model handles budget and scaling strategy, a research model gathers market signal. You get the best of Claude, GPT and others without picking or prompting any of them.
With the right prompt, sure. But it will not watch your account for you, it will not know your break-even ROAS, and it will happily suggest a 40% budget jump that resets Meta’s learning phase. AdLift monitors continuously and proposes profit-anchored, learning-safe actions you approve in one click.
Because you become the operator every single session: no memory of your account, no repeatability, no team workflow, and it is easy to get generic advice that breaks Meta’s current rules. AdLift encodes the playbook once and runs it for you, consistently, with an audit trail.
Keep them for general work. AdLift is the ad-specific layer that turns that same intelligence into competitor research, on-brand creative, and launched, optimised campaigns, without you being the one holding it all together.
Stop being the operator.
Let trained agents run your research, creative and campaigns, on the best model for each job.