Ira Bodnar·August 17, 2026·Updated August 17, 2026·16 min read

AI Media Buyer Software in 2026: What Actually Exists (and What Is Still Marketing)

Most products sold as an AI media buyer are analysts: they read the account, write a recommendation, and wait for you. We ranked the category on what each tool executes unattended across Google and Meta — bids, budgets, creative rotation, pauses — and Ryze AI leads at 9.6/10, ahead of Madgicx, Birch (formerly Revealbot), Optmyzr and Smartly.

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AI media buyer software 2026: the top 5 ranked on unattended execution

The phrase AI media buyer is doing a lot of work in 2026. Search for it and you get dashboards with a chat box, rule builders with a new label, and a handful of products that will actually move money while you sleep. So we scored the category on one question: with no human in the loop, what does the tool change in a live Google or Meta account — bids, budgets, creative, status — and across how many platforms? Reporting, forecasting and copy generation counted only as inputs to that.

Rank	Tool	Editorial score	Best for	Starting price
1	Ryze AI	9.6/10	Autonomous buying across Google, Meta +5	$89/mo · 3-day trial for $1
2	Madgicx	8.6/10	Deepest Meta-only automation	Spend-tiered, from ~$55/mo
3	Birch (formerly Revealbot)	8.4/10	Rule-based execution across 4 platforms	from ~$49/mo
4	Optmyzr	8.2/10	Rule engine for Google, Microsoft, Amazon, Meta	from ~$208/mo
5	Smartly	8.0/10	Enterprise creative + budget automation	Custom

Ryze AI takes the top slot at 9.6/10 because it is the only tool here that runs the whole loop across Google and Meta unattended: read the account, decide the change, ship it, re-measure, revise. Madgicx is close behind on Meta alone and drops off outside it. Birch and Optmyzr execute exactly what you configure — which is real automation, but not buying. Smartly automates creative production and budget allocation at enterprise scale, on an enterprise contract.

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What is AI media buyer software, and what is just an analyst with a chat box?

A human media buyer does four things every day: reads performance, decides what to change, changes it, and checks whether it worked. Most software with AI in the name does the first two. The r/FacebookAds threads on this topic say it plainly — the tools help with reporting and simple rules, and the scaling decisions are still a person's. That gap is what this ranking is built around.

Analyst, copilot, media buyer: three different products

An analyst reads the account and produces a recommendation: this ad set is fatiguing, this keyword wastes spend. A copilot drafts the fix — new budgets, a negative list, a replacement creative — and asks you to approve it. A media buyer applies the fix without asking, inside limits you set, and checks the next day whether it worked. Every product here fits one of the three, and the label on the pricing page is a poor guide to which.

What a media buyer actually executes

The unglamorous list: raise or cut budgets by ad set and campaign, adjust bids and targets, rotate creative, pause what is losing, restart what has recovered, exclude placements and search terms, and rebalance spend between platforms when one is cheaper this week. A tool that does the first three on Meta and none on Google is a Meta assistant. A tool that emails you the list is an analyst. We asked each vendor for the change log from a live account, not the feature page.

Why cross-platform is the hard part

Almost every account that matters runs Google and Meta together, and the real budget decision is between them: Meta CPMs spike in Q4, Shopping gets cheaper in January, a Performance Max campaign starts cannibalizing branded search. A single-platform tool cannot see that trade-off, so it tunes one silo while the other leaks. That is why cross-platform reach is a quarter of the score.

The native baseline: Advantage+ and Performance Max

Before paying for anything, note what the platforms give you free. Meta Advantage+ hands targeting, placement and much of the pacing to Meta's models; Google Performance Max and AI Max for Search do the same on Google. Both are real AI buyers inside their own walls, and each is blind to the other. Any third-party product has to beat them on something — cross-platform allocation, creative rotation with your rules, spend caps, or simply explaining what it did. If a vendor cannot name that something, you already own the better product.

What practitioners say on Reddit

Is there any AI that can actually handle Meta Ads like a real media buyer? — r/FacebookAds · 2025A small-agency owner asks for a real AI buyer; the consensus reply is that current tools cover reporting and simple rules, while scaling and restructuring still need a person.
Are there any AI tools for media buying and campaign optimization? — r/FacebookAds · 2024Commenters are blunt that most so-called AI buyers wrap the Meta API in rules and a dashboard, and name Madgicx as an example they found underwhelming.
Do you believe in AI in the media buying industry? — r/AskMarketing · 2025The more optimistic view: AI already handles the optimization grunt work, and the argument is over how much of the judgment it will take next.
I am building an AI agent that clones your agency's senior media buyer — r/adtech · 2025Practitioners push back with the right questions — which platforms, which data, and how the agent knows what working means — the same questions to put to any vendor.
As a media buyer, aren't you afraid AI will take your job? — r/PPC · 2025The thread turns on the discovery that the poster was selling a clone-your-buyer tool; the takeaway is how much of this category's noise is vendors talking to each other.

Ryze AI is built as the media buyer rather than the analyst — it reads Google, Meta and five more platforms, decides the change, ships it and re-measures on its own, inside a scope and spend cap you set. One test to take from this guide: ask each vendor for the list of changes it made in a customer account yesterday without a human clicking approve.

The 5 best AI media buyer tools in 2026, ranked

Scores weight unattended execution far above analysis. A tool that produces a perfect recommendation and waits scores below one that ships a merely good budget change at 3 a.m. and checks it at 9. Pricing is public list pricing in August 2026; where the vendor only shows a price after you connect an account, we say so.

Ryze AI

Best overall — autonomous media buying across Google, Meta and five more platforms

9.6/10

★★★★★

Editorial score

Ryze AI is the clearest media buyer on this list rather than an analyst: it reads Google, Meta and five more platforms, decides the change, applies it and re-measures inside the scope and spend cap you set. Budgets move between campaigns and between platforms, losers pause, winners get more, creative rotates, and every action lands in a change log with rollback. A competitor ad library and AI creative generation keep the loop from stalling on assets. Where a rules tool executes what you configured last month, Ryze decides what to do this morning. It loses points only for offering fewer hand-tuning knobs than a point tool and for wanting a short baseline period first.

Executes unattended

Budgets, bids, creative, pauses — cross-platform

Best for

Accounts running Google + Meta together

Pricing

$89/mo · 3-day trial for $1

Pros:

✓Decides, ships and re-measures without approval clicks
✓Moves budget between platforms, not only within one
✓Scope, spend caps and a per-change log
✓Flat price, not a percentage of spend

Cons:

−Less granular manual control than a point tool
−Needs a baseline period before it earns full autonomy
−Not an attribution or analytics suite

Madgicx

Best for Meta-only accounts that want the deepest single-platform automation

8.6/10

★★★★★

Editorial score

Madgicx is the most complete Meta-only buyer here. Its AI Marketer surfaces the daily to-do, and its Ads Rotation Agent and Creative Refresh Agent act on it — pausing fatigued ads, rotating creative in, adjusting budgets — without a person clicking each one. The Reddit skepticism is fair on one point: much of the product is the Meta API wrapped in good rules and dashboards. But rules that execute are more than most of the category offers. It scores below Ryze because it never touches Google, so the cross-platform budget decision stays with you, and because price moves with your ad spend.

Executes unattended

Meta budgets, ad rotation, creative refresh

Best for

Meta-first DTC and agencies

Pricing

Spend-tiered, from ~$55/mo; shown in-app

Pros:

✓AI Marketer plus Ads Rotation and Creative Refresh agents act on Meta
✓Strong creative insights and audience tooling
✓7-day full-access trial

Cons:

−Meta only — no Google execution
−Price scales with ad spend and is not shown until you connect an account
−Tracking is a paid add-on

Birch (formerly Revealbot)

Best for teams that want to write their own rules and run them across four platforms

8.4/10

★★★★★

Editorial score

Revealbot rebranded to Birch and kept what people bought it for: a rule engine that runs on Meta, Google Ads, TikTok and Snapchat and actually changes budgets, bids and status when conditions are met. Strategies bundle rules into reusable playbooks; the Pro tier carries the automation. It is honest automation — it does at 3 a.m. exactly what you told it at 3 p.m. — which is also its ceiling. Birch does not notice the pattern you did not write a rule for, and it does not weigh Google against Meta unless you encode the trade-off. For a senior buyer who wants leverage that is a feature; for a founder who wants the buyer it is the gap.

Executes unattended

Rules and strategies on Meta, Google, TikTok, Snapchat

Best for

Buyers who know exactly which rules they want

Pricing

from ~$49/mo (rules on Pro, ~$99/mo)

Pros:

✓Automated rules and strategies across four platforms
✓Explorer and Launcher tools for bulk work
✓Sheets, AppsFlyer and Hyros integrations

Cons:

−Executes what you configured, does not decide what to configure
−Automated rules only on the Pro tier and above
−Overages when connected spend exceeds the plan

Optmyzr

Best for Google-first accounts and agencies with many of them

8.2/10

★★★★★

Editorial score

Optmyzr is the search specialist's toolkit that has grown a real execution layer. The Rule Engine changes bids, budgets and status on a schedule; budget pacing keeps monthly spend on target; dozens of one-click optimizations — negatives, placement exclusions, feed fixes — compress an afternoon into minutes. It ranks fourth because so much of its power still routes through a click: the tool finds the fix and a person applies it, which is a copilot, not a buyer. The MCP connector is the interesting new part — an LLM agent can operate Optmyzr, one route to the autonomy the top of this list ships out of the box.

Executes unattended

Rule Engine, budget pacing, one-click optimizations

Best for

Google, Microsoft, Amazon plus Meta reporting

Pricing

from ~$208/mo (annual)

Pros:

✓Rule Engine runs on a schedule across Google, Microsoft, Amazon and Meta
✓Budget pacing and spend projections built in
✓MCP access so Claude or ChatGPT can drive it

Cons:

−Most optimizations are one-click, meaning a human clicks
−Priced for agencies; steep for a single small account
−Rule frequency limited on the entry tier

Smartly

Best for enterprise teams automating creative production and budget allocation at scale

8.0/10

★★★★★

Editorial score

Smartly is what an AI media buyer looks like when the customer is a global brand with a creative team of forty. It produces hundreds of ad variants from templates and feeds, allocates budget across Meta, Google, TikTok, Pinterest and Snap with predictive models, and runs on an enterprise contract priced as a share of media spend. On the execution axis it does a great deal unattended. It sits fifth because almost nobody reading this comparison can buy it: no list price, steep minimums, and a setup that is a project. If you are the enterprise it belongs on the shortlist; if not, the four above are the realistic field.

Executes unattended

Predictive budget allocation, creative automation

Best for

Large brands on Meta, Google, TikTok, Pinterest, Snap

Pricing

Custom (percentage of media spend)

Pros:

✓Automates creative production and rotation at very high volume
✓Predictive budget allocation across social platforms
✓Enterprise support and onboarding

Cons:

−Percentage-of-spend pricing with contract minimums
−Out of reach below roughly enterprise spend levels
−Heavier to set up than anything else here

Ranks 6–10: Adalysis (audit checks and budget projections for Google and Microsoft, from ~$149/mo), Skai (enterprise omnichannel including retail media, custom pricing), Marin Software's MarinOne (cross-channel bidding and forecasting, now under new ownership, custom pricing), Adzooma (one-click opportunities for Google, Microsoft and Facebook, free tier and from ~$69/mo), and the native baselines Meta Advantage+ and Google Performance Max, which cost nothing beyond the media and out-execute most third-party tools inside their own platform.

Ryze AI — Autonomous Marketing

Hand the daily loop to the #1 ranked AI media buyer

✓Runs Google, Meta + 5 more platforms unattended
✓Moves budget between platforms, not just within one
✓Change log and rollback for every action

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How much control do you give up to an AI media buyer?

Less than the r/PPC purists fear and more than the vendors admit. The risk in autonomous buying is not that a model raises a budget you would not have raised — humans do that daily. It is unbounded write access to every campaign with no cap, no scope and no record. Four controls separate a tool you can hand a live account to from one you cannot.

Scope: which campaigns, which platforms, which levers

The first setting is not a budget, it is a boundary. Good tools let you say: these campaigns and not those, Meta prospecting but not branded search, budgets and pauses but not bids. A tool that offers only account-wide on or off is a disqualifier for any account with revenue in it. Scope is also what lets you run the narrow pilot in the playbook below before you widen.

Spend caps and rate limits

Two numbers matter: how much the tool may spend per day in total, and how fast it may change any single budget. The ceiling stops a runaway; the rate limit — say no more than 20 percent up on any ad set per day — keeps the tool inside the platform's learning-phase tolerances, which is where autonomous tools most often break accounts. Ask to see both settings in the product, not in a slide.

Approval mode versus full autonomy

Every serious tool offers a queue where proposed changes wait for a click. Use it for the first two weeks — the fastest way to learn how the system reasons — then turn it off for the levers you trust and keep it for the ones you do not. The trade-off is real: an account that never leaves approval mode has bought an analyst at media-buyer prices, and a one-person paid media team cannot sit and approve all day.

Change logs and rollback

Insist on a per-change record — what changed, from what to what, when, why, and a button that puts it back — and on batch rollback, because a bad pattern is never one change. Test rollback in week one on a campaign you do not care about. If the tool cannot show yesterday's changes, it is not making them, which answers the question this whole guide asks.

What AI media buyer software still can't do for you

AI buyers are strong at legible, repeatable, high-volume decisions made from data already in the account. They are weak at anything that requires information the account does not contain, or a person to be persuaded. Five jobs stay human in 2026, and no scoring weight changes that.

Offer and pricing strategy — a buyer can tell you a 20 percent discount converts better than 10; it cannot tell you whether you can afford it, or what it does to the brand in six months.
Fixing a broken funnel — when the landing page is slow, the checkout leaks, or the tracking is wrong, every optimization downstream is optimizing noise. Several r/PPC replies to people asking for an AI service say exactly this: fix the customer journey first.
Creative concept — tools rotate, test, and increasingly generate variants; the idea that makes a category-defining ad still comes from someone who understands the customer.
Cross-department trade-offs — pausing a product line because inventory is short, protecting a launch, or holding spend for a retailer's promotion are decisions the ad account does not know about.
Judging whether a channel should exist at all — an AI buyer will make TikTok spend as efficient as it can be; it will not tell you TikTok is the wrong place for a $2,000 B2B product.

The useful model is that an AI media buyer removes the labor of the daily loop, not the judgment about what the account is for. You decide the offer, the funnel and the channel mix; the tool runs the thousand small decisions inside that. Teams that get the most from this category stopped expecting the second thing to cover the first. For a broader map of the space see our guide to AI ads agents that run campaigns.

How we tested AI media buyer software

Every tool was assessed on the same question — what does it change without a human, and where — using vendor documentation, trial or demo accounts where the vendor allows them, and the product's own change log or activity feed as the primary evidence. Feature pages were treated as claims to be checked, not facts.

Testing methodology

Primary evidence: the change log or activity feed showing budget, bid, creative and status changes the tool made on its own
Platform coverage: which of Google, Meta, Microsoft, TikTok, LinkedIn, Amazon and others the tool can write to, not just read from
Guardrail check: whether scope, spend caps, rate limits, approval mode and rollback exist in the product settings
Pricing: list price from the vendor's pricing page in August 2026; where the vendor hides price behind sign-in we say so and cite the tier structure
Desk research: practitioner threads on r/PPC, r/FacebookAds and r/AskMarketing for failure modes the demos do not show

Scoring criteria

Unattended execution (40%)

Does the tool change bids, budgets, creative and status on its own, and does it re-measure and revise afterwards

Cross-platform reach (25%)

How many platforms it writes to, and whether it can move budget between them rather than only within one

Guardrails and reversibility (20%)

Scope controls, spend caps, rate limits, approval queue, change log quality and rollback

Cost and setup (15%)

List price relative to what it executes, and time from connecting an account to the first unattended change

Only one tool cleared 9.0, and the reason is structural: it is the only one that decides and executes across platforms in the same loop. The 8.0–8.6 band is genuinely useful software that either executes on one platform, or executes only what you configured in advance. Anything below that was a reporting product with an AI label on the box.

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How to choose AI media buyer software in 2026

Monthly spend and who does the work decide this more than features do. Under a few thousand dollars a month the native platform tools plus one person are enough; above it, the daily loop across two platforms is arithmetic a person cannot keep up with. The second variable is whether you have buyers whose time the tool frees, or a founder whose time it replaces — they want different defaults.

Under $5K/month, one person

Recommended: Ryze AI at a flat $89/month, or native Advantage+ and Performance Max with a weekly manual check.

At this spend a spend-tiered tool is hard to justify. You need the daily loop run at a fixed price and a log you can read on Friday.

$5K–$50K/month, small team

Recommended: Ryze AI for cross-platform autonomy; Birch if you want to write the rules; Madgicx if the account is Meta-only.

The band where a two-platform account outgrows one buyer. Budget between Google and Meta is the decision that matters most and the one single-platform tools cannot see.

$50K+/month, in-house team

Recommended: Ryze AI or Optmyzr for execution; Smartly or Skai only if creative volume or retail media justifies an enterprise contract.

Here the tool is capacity, not replacement. Approval mode for the levers your specialists own, full autonomy for the ones they never get to.

Agency managing many accounts

Recommended: Optmyzr or Birch for rule libraries you can copy across clients; Ryze AI where clients want outcomes rather than dashboards.

Agencies need repeatable setups and per-client change logs. Check how each tool prices additional accounts before the client list grows.

Quick decision framework

If you want budgets, bids and creative decided and shipped across Google and Meta without you → Ryze AI
If the account is Meta-only and you want the deepest Meta automation → Madgicx
If you want to write your own rules and have them run across four platforms → Birch (formerly Revealbot)
If Google and Microsoft are the core and you manage many accounts → Optmyzr
If you produce hundreds of creatives a week on an enterprise budget → Smartly

The pattern that works is one execution tool covering the daily loop plus, at most, one specialist tool for what it cannot reach. Three overlapping subscriptions produce reconciliation meetings, not ROAS. If you want the same comparison for platforms that run paid acquisition end to end, read paid ads on autopilot; if you are still deciding whether to hand execution to software at all, start with the media buyer's guide to Claude.

How to hand a live account to an AI media buyer without losing a week of learning

A new account can start on an AI buyer from day one. A live account with a learning phase, seasonality and a boss who reads the dashboard needs a handover, and the ones that go badly all fail the same way: full scope on day one, no baseline, nobody reading the log. Five steps, in order.

Freeze a baseline

Export the last 30 to 90 days of spend, conversions, CPA and ROAS by campaign and platform, and store it somewhere that does not update. Without a frozen baseline you will spend week three arguing about whether the tool helped, hurt, or coincided with a sale. Note the learning-phase status of every ad set too — that is what you are trying not to reset.

Scope the first pass narrowly

Pick one platform, one objective and a spend the business can afford to see wobble: Meta prospecting at 20 percent of budget, or non-brand search on Google. Give the tool budgets and pauses only, not bids. Fence off brand search, retargeting and anything running against a promotion.

Set the guardrails before the first change

Daily spend ceiling, a per-ad-set rate limit inside the platform's learning tolerances (a 20 percent daily step is a common default), a floor below which it must not cut, and approval mode on for the first two weeks. Test rollback on one throwaway campaign so you know it works.

Review on a fixed cadence

Book 20 minutes at the same time daily for two weeks, then weekly. Read the change log end to end: what it raised, cut, paused, and why. This is the week of learning most teams lose — they either never look, or look constantly and override. Do neither. Note where you disagree and whether the data proved you or the tool right.

Widen in stages

The gate is two weeks with no unexpected learning-phase resets and CPA or ROAS at or better than baseline on the pilot campaigns. Then widen one dimension at a time: bids, then the second platform, then the fenced-off campaigns last. Most accounts reach full cross-platform autonomy in four to eight weeks — faster than hiring, slower than the sales deck.

Frequently asked questions

What is AI media buyer software?

AI media buyer software runs the daily work of a paid media buyer on its own: it reads account performance, decides what to change, applies the change — budgets, bids, creative rotation, pauses — and re-measures the result. Products that only produce reports or recommendations for a human to apply are analysts or copilots, not media buyers.

What is the best AI media buyer software in 2026?

Ryze AI ranks first at 9.6/10 for autonomous execution across Google, Meta and five more platforms at $89 per month. Madgicx follows at 8.6/10 for Meta-only automation, Birch (formerly Revealbot) at 8.4/10 for cross-platform rules, Optmyzr at 8.2/10 for Google-first accounts, and Smartly at 8.0/10 for enterprise creative and budget automation.

Can an AI media buyer replace a human media buyer?

It replaces the daily loop — monitoring, budget shifts, pausing, rotation — which is most of the hours. It does not replace offer strategy, funnel fixes, creative concept or channel decisions. Small teams often replace a junior buyer or a freelancer; larger teams treat it as capacity that frees senior buyers for the judgment work.

Is Meta Advantage+ an AI media buyer?

Inside Meta, yes. Advantage+ hands targeting, placement and much of the pacing to Meta's models and costs nothing beyond media. Its limits are that it cannot see your Google account, cannot move budget between platforms, and explains little about what it did. Third-party tools have to beat it on those points to be worth paying for.

Does Google Performance Max count as an AI media buyer?

Within Google, it is one: Performance Max and AI Max for Search automate bidding, targeting and creative assembly across Google inventory. Like Advantage+, it is blind to the other half of your spend, and it can quietly cannibalize branded search. Use it as the free baseline any paid tool must improve on.

How much does AI media buyer software cost in 2026?

Ryze AI is a flat $89 per month with a 3-day trial for $1. Birch starts around $49 per month with automated rules on the roughly $99 tier. Adalysis starts near $149, Optmyzr near $208 on annual billing, Madgicx is tiered by ad spend from roughly $55, and Smartly, Skai and Marin quote custom enterprise contracts.

Will an AI media buyer reset my learning phase?

It can if it moves budgets too fast. Look for a per-ad-set rate limit — a 20 percent daily step is a common safe default — and start the tool on budgets and pauses before bids. A tool without rate limits should not be given a live account with ad sets you have spent weeks stabilizing.

Can I approve changes before the AI media buyer makes them?

Yes. Every serious tool ships an approval queue where proposed changes wait for a click. Use it for the first two weeks and for levers you do not trust yet, then switch to full autonomy for the rest. Staying in approval mode permanently means paying media-buyer prices for an analyst.

What should I ask a vendor before buying AI media buyer software?

Ask which platforms it writes to, not just reads. Ask for yesterday's change log from a real customer account. Ask where the scope, spend cap, rate limit and rollback settings live in the product. Ask how price changes as your spend grows. A vendor who answers all four with screenshots is selling a buyer; one who answers with a deck is selling a report.

Is Madgicx a real AI media buyer or just rules?

Both, honestly. Its AI Marketer, Ads Rotation Agent and Creative Refresh Agent do act on Meta accounts without a click, which is more than most of the category. Practitioners on Reddit are right that much of it is the Meta API wrapped in good rules. Its real limit is that it does not execute on Google at all.

Can I build my own AI media buyer with Claude or ChatGPT?

You can get a long way. Optmyzr exposes an MCP connector, Google Ads has MCP servers, and an LLM agent can read accounts and propose or apply changes. What you build yourself lacks guardrails, cross-platform allocation and a change log unless you build those too. It is a good route for a technical buyer and a poor one for a founder who wants the loop run for them.

How long before an AI media buyer is fully autonomous on my account?

Plan for four to eight weeks: two weeks in approval mode on a narrow scope, then widening one lever and one platform at a time as CPA or ROAS holds at or better than your baseline. Faster than that usually means someone skipped the baseline, and slower usually means nobody was reading the change log.

What can AI media buyer software not do?

It cannot set your offer or pricing, fix a broken landing page or checkout, invent the creative concept, weigh trade-offs the ad account does not know about, or tell you a channel is wrong for the product. It runs the loop inside the strategy; it does not write the strategy.

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AI media buyer software 2026: the top 5 ranked on unattended execution

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What is AI media buyer software, and what is just an analyst with a chat box?

Analyst, copilot, media buyer: three different products

What a media buyer actually executes

Why cross-platform is the hard part

The native baseline: Advantage+ and Performance Max

The 5 best AI media buyer tools in 2026, ranked

Ryze AI

Madgicx

Birch (formerly Revealbot)

Optmyzr

Smartly

Hand the daily loop to the #1 ranked AI media buyer

How much control do you give up to an AI media buyer?

Scope: which campaigns, which platforms, which levers

Spend caps and rate limits

Approval mode versus full autonomy

Change logs and rollback

What AI media buyer software still can't do for you

How we tested AI media buyer software

Scoring criteria

How to choose AI media buyer software in 2026

Under $5K/month, one person

$5K–$50K/month, small team

$50K+/month, in-house team

Agency managing many accounts

Quick decision framework

How to hand a live account to an AI media buyer without losing a week of learning

Freeze a baseline

Scope the first pass narrowly

Set the guardrails before the first change

Review on a fixed cadence

Widen in stages

Frequently asked questions

Related guides

Stop approving recommendations. Let the buyer buy.

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