Put your ads on autopilot. Let your AI run them.
Connect your ad accounts once. Then just tell Claude, Perplexity, Cursor — whatever AI you already use — what you want, and AdLiftr launches and manages it across Meta, TikTok, Google, and Snapchat. No dashboards, no spreadsheets, no code.
You already have an AI assistant. Now it can run your ads.
Most media buyers don’t want another dashboard to learn. They already live inside an AI assistant — Claude, Perplexity, Cursor, an agent like OpenClaw or Hermes — for everything else in their day. AdLiftr plugs straight into it.
Under the hood, AdLiftr runs a small piece of standard plumbing called an MCP server. You don’t need to know what that means. All it does is give your AI assistant a safe set of buttons it can press on your behalf: launch a campaign, pause an ad, check what got rejected, pull yesterday’s numbers — across all four ad platforms at once.
So instead of opening Meta Ads Manager, then TikTok, then Google, then Snapchat, you type one sentence to the assistant you’re already in. It does the clicking. You stay the boss.
The assistant is not guessing what Meta or TikTok want. AdLiftr translates your plain-language request into the correct API calls on the official marketing APIs, with your naming convention, UTM template, and placement rules applied the same way every time. That is why teams trust it for volume: the tenth launch in a week looks like the first, not like whoever was tired on a Thursday afternoon.
You can still use the AdLiftr dashboard for big structural work — importing a hundred creatives, setting up a new client account, reviewing launch history before a QBR. Many people use both: dashboard for the heavy setup, AI autopilot for the daily rhythm of duplicate, pause, report, and ship. Same accounts, same templates, same audit trail.
Talk to it like you’d brief a junior buyer
These are the kinds of things you can ask once AdLiftr is connected to your AI assistant. Plain English in, real changes on your ad accounts out.
“Launch these 12 videos as a creative test on Meta and TikTok.”
AdLiftr builds the campaigns on both platforms and stages every ad paused for your review.
“Pause every ad under a 1% click-through rate in my prospecting campaigns.”
It finds the underperformers across your accounts and pauses them — no manual hunting.
“What did I spend yesterday across all four platforms, and where’s my best ROAS?”
It pulls live performance and gives you the answer in plain language.
“Duplicate my best Meta campaign onto Snapchat.”
It recreates the winning structure on a new platform, ready for you to flip live.
“Which of my ads got rejected, and why?”
It reads the creative-review issues from every platform and explains each one.
“Bump the budget on my winning ad set by 20%.”
It makes the change on the right ad set without you logging into anything.
Three steps, then you’re talking to your ads
Step 01
Connect your ad accounts
Sign in to AdLiftr and link Meta, TikTok, Google, and Snapchat with a couple of clicks. This is the same secure, official login each platform uses.
Step 02
Add AdLiftr to your AI tool
Generate your connection key in AdLiftr, then add AdLiftr as a connector in Claude, Perplexity, Cursor, or your agent. Paste the address and key once — we give you the exact snippet for your tool.
Step 03
Just ask
Tell your assistant what to launch, pause, duplicate, or report on. It does the work across all four platforms while you stay in control.
Step 2 takes about a minute. If you’d rather build on the raw API yourself, see the developer docs.
One message. Twenty-four ads staged.
Launch the 12 new UGC videos as a creative test in my “Q3 Prospecting” campaign on Meta and TikTok.
On it. Staging everything paused so you can review first:
- 12 ads created on Meta
- 12 ads created on TikTok
- 24 ads in review · all paused
24 ads staged across Meta + TikTok, nothing spending yet. Want me to flip them live or keep them paused for your review?
We don’t make you learn a new chatbot
AdLiftr connects to the AI tools media buyers already use every day. Keep your assistant; we just give it the keys to your ad accounts.
Claude
Claude, Claude Code, and Claude Desktop. Add AdLiftr as a connector and brief it like a teammate.
Codex
OpenAI Codex and Codex CLI — connect AdLiftr and run ad ops from your coding agent.
Perplexity
Launch campaigns and pull live numbers without leaving your research flow.
Cursor
Drop AdLiftr into Cursor and run your ad ops next to everything else you build.
OpenClaw
Point your OpenClaw agent at AdLiftr and let it manage launches autonomously.
Hermes
Connect Hermes and hand it the repetitive launch and pausing work.
Any MCP client
AdLiftr speaks standard MCP, so any compliant assistant or agent can drive it.
Hand off the busywork, not the keys to the kingdom
Nothing spends without you
Have the assistant launch campaigns paused, so nothing spends until you review and switch them live.
Official platform APIs
AdLiftr acts through the same approved Meta, TikTok, Google, and Snapchat APIs the platforms built for tools — not scraping or automation hacks.
Everything is logged
Every launch, pause, and edit your assistant makes is recorded in AdLiftr, so you can always see exactly what happened.
Revoke access anytime
Your AI connection runs on a key you create — and can delete in one click. Cut off access whenever you want.
Prefer to build it yourself?
The same launch engine is available as a documented REST API and MCP server. If you’re a developer who wants to wire AdLiftr into your own stack, the technical docs are for you.
How media buyers actually use AI autopilot day to day
Most teams do not replace their entire workflow with a chat window. They keep the dashboard for big structural launches and use the AI assistant for the high-frequency, low-ceremony work that used to eat afternoons: duplicating a winning ad set into a new audience, shipping five new creative variants from a folder, pausing anything that crossed a CPA threshold overnight, or pulling a cross-platform performance summary before a stand-up. The assistant handles the clicks; the media buyer keeps the strategy and the final go-live decision.
A typical morning starts with a status message — something like "summarise yesterday across Meta, TikTok, Google, and Snapchat and flag anything that broke our CPA target." The assistant calls AdLiftr's performance tools, reads the numbers, and returns a short list of ad sets worth looking at. Mid-day is usually a launch: "duplicate last week's winner into the new US lookalike and upload the five videos from the shared folder, paused." The assistant validates naming, applies your UTM template, and publishes through the official APIs. Evening is often a tidy pass: pause underperformers, fix naming drift, confirm nothing is spending that should still be paused.
The reason this works for non-technical media buyers is MCP. You connect AdLiftr once inside Claude, Cursor, Perplexity, Codex, OpenClaw, or Hermes — the same tools many teams already use for briefs, research, and creative feedback — and the assistant gains real launch tools instead of generic advice. You do not write code, you do not maintain scripts, and you do not learn curl. You talk in the same language you would use with a junior buyer on Slack.
Safety is built into the defaults, not bolted on as an afterthought. Test launches can be created paused so nothing spends until a human flips them live. Every action is logged in launch history. You can revoke the connector from your assistant in one click without touching live campaigns, because AdLiftr writes through Meta, TikTok, Google, and Snapchat directly — your ads keep running in the native ad accounts either way.
If you later want the same capabilities in a pipeline — nightly reporting, folder-triggered launches, multi-account automation — the same AdLiftr account exposes a REST API and the same MCP server your assistant already uses. The autopilot path and the developer path are one product, not two tiers.
This page is written for performance marketers, agency operators, and founders who already buy paid media and already use an AI assistant for other work — briefs, research, creative feedback, reporting questions. You do not need to be technical. You do need connected ad accounts on Meta, TikTok, Google Ads, or Snapchat (one or all four) and a willingness to treat launches as a conversation instead of an afternoon in four different Ads Managers. If that sounds like your week, start with the 7-day free trial, connect one account, add AdLiftr to your assistant, and run your first paused test batch before you commit budget.
What "AI autopilot" for ads actually means in 2026
The agent does the operational work; the human owns the strategy
In our customer workspaces, the most successful "AI autopilot" setups split responsibilities cleanly. The agent (running inside Claude, Cursor, Perplexity, or any MCP-compatible client) handles repetitive operational work: launching weekly tests, refreshing creative on schedule, applying naming and UTM templates, pausing under-performers. The human owns the strategic decisions: which audiences to test, which offers to promote, which channels to expand. The split is what makes the autopilot reliable — the agent executes well-defined operations, not open-ended judgement calls.
MCP vs API: when each one is the right tool
The AdLiftr MCP server gives non-technical media buyers the same capabilities the API gives engineering teams, just from a different interface. A media buyer using Claude or Perplexity can ask "launch 30 new variants of last week's winning Reels creative across our 4 ad accounts with the standard naming pattern" and the agent translates it into MCP tool calls. A developer using the REST API directly writes the equivalent script. Both routes hit the same backend with the same guarantees on naming, UTM, and rules. The choice is interface preference, not capability. See the developers page for the API surface.
What changes in your week when the autopilot runs
The honest answer is the launch work disappears and the strategy work expands. Teams typically reclaim 8–15 hours per week per media buyer once the agent handles the recurring launches and rule maintenance. That time goes into creative concepting, audience research, offer testing, and post-launch analysis — the parts of the job that actually compound into better ROAS. The cross-platform model (Meta, TikTok, Google, Snapchat) is covered in the media buying platform pillar.
AI ad autopilot FAQ
Can AI actually run my ad campaigns?
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Yes. AdLiftr connects to your AI assistant and gives it tools to launch campaigns, pause and activate ads, pull performance, and check creative issues across Meta, TikTok, Google, and Snapchat. You ask in plain English; it does it on your real accounts.
Do I need to know how to code?
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No. This is built for media buyers, not engineers. You connect your ad accounts, add AdLiftr to your AI assistant once, and then just talk to it. No coding, no API calls, no spreadsheets.
Which AI tools work with AdLiftr?
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Any MCP-compatible client — Claude (including Claude Code and Claude Desktop), Perplexity, Cursor, OpenClaw, Hermes, and more. If your AI tool can add a connector, it can run your ads through AdLiftr.
Is it safe? Can the AI spend my money without me?
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You stay in control. You can have campaigns launch paused, so nothing spends until you approve. AdLiftr acts through the official platform APIs, every action is logged, and you can revoke the AI connection key anytime.
How is this different from the AdLiftr dashboard?
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Same engine, different driver. The dashboard, your AI assistant, and the API run the same workflow on the same accounts. The AI autopilot just lets you launch, pause, duplicate, and report by talking instead of clicking through four ad managers.
Does the AI autopilot cost extra?
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No. It's included in every plan, which is flat per ad account ($79/$199/$499 per month) — never a percentage of your ad spend.
What does a typical day with AI autopilot actually look like?
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For most media buyers it is a small number of natural-language messages spaced through the day rather than a constant chat. The morning message tends to be a status pull ("summarise yesterday across all four platforms and flag anything that broke the CPA target"), the mid-day message is a launch ("duplicate the winning ad set from last week into the new audience and ship the five new creative variants in the Dropbox folder"), and the evening is a pause-and-tidy pass ("pause anything underperforming and rename the launches that are missing the campaign code"). The assistant does the clicking, you keep the strategy.
How does AdLiftr know which of my AI assistants to listen to?
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It does not — and that is the point. You connect AdLiftr to each assistant once using your own API key. Each assistant then has its own scoped access, you can see which assistant performed which action in the launch history, and you can revoke any one of them from the dashboard at any time without affecting the others. The same key works for Claude on your phone, Cursor on your laptop, and Perplexity on the browser, but you can also generate separate keys per device if your security policy prefers that.
Can the AI write the ad copy and choose the creative for me?
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Yes, if you ask it to and your assistant has the relevant skill or model behind it. The autopilot side of AdLiftr is the launching layer — it talks to Meta, TikTok, Google, and Snapchat — so your assistant can pair its own writing or creative-generation capability with AdLiftr's ability to actually publish the result. In practice, teams often have the assistant draft three or four creative variants, ask you to pick the ones to ship, and then launch the chosen subset paused so a human still approves the live state before money moves.
How is this different from hiring a media-buying agency?
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An agency replaces the human work — they own the strategy, the launches, and the reporting in exchange for a retainer and usually a percentage of spend. The AI autopilot replaces only the repetitive part of the work: the cloning, the naming, the launching across four ad managers. Your strategy and your decisions stay with you. The two are not mutually exclusive — plenty of agencies use AdLiftr internally so their human strategists can spend the day on creative and offer instead of on the click work.
What happens if I want to stop using the AI autopilot?
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You revoke the AdLiftr connector from your assistant (one click in Claude, Cursor, Perplexity, Codex, OpenClaw, or Hermes), and that is it. The campaigns you launched continue to run on Meta, TikTok, Google, or Snapchat directly because we use the official marketing APIs — nothing depends on AdLiftr being in the loop. You can keep using the AdLiftr dashboard, switch to a different assistant, or move to driving everything by hand without any data migration or campaign transfer step.
Related pages
AI autopilot is one entry point into the same AdLiftr launch engine. These pages go deeper on the dashboard workflow, each ad platform, and how we compare to alternatives. Pick the page that matches where you are today — evaluating tools, launching on one network, or standardising ops across a whole agency pod.
Media buying platform
The full picture: one workflow for Meta, TikTok, Google Ads, and Snapchat — dashboard, bulk launch, API, and MCP together.
Developer API & MCP
OpenAPI docs, authentication, rate limits, and MCP tool reference if you want to build on AdLiftr directly.
Meta ads bulk upload
Launch Facebook and Instagram ad variants in bulk from the dashboard — the same engine your AI assistant uses.
Google Ads bulk upload
Bulk launch Search, Performance Max, and Demand Gen from one template — also available through AI autopilot.
TikTok ads bulk upload
Ship many TikTok creative tests without rebuilding each ad in TikTok Ads Manager.
Best bulk ad launch tools
How AdLiftr compares to AdManage, native Ads Managers, and other launch tools in the category.
Stop clicking through ad managers. Start talking to your ads.
7-day free trial. No credit card. Connect your accounts, point your AI at AdLiftr, and launch your first campaign by typing one sentence.