The Best AI Tools for Managing Ad Campaigns

Artificial intelligence is transforming the way paid media campaigns are managed. In 2026, a new generation of autonomous tools promises to automate some or all of the work traditionally handled by Paid Media teams: campaign creation, bid optimization, reporting, and budget management.

But with so many solutions on the market, choosing the right one isn't easy. Which tools make sense for your business, your budget, and your advertising channels?

This article reviews 13 solutions: Pilot (Braike), Laier, Concord, Massive Dynamic, Ryze, Stelleo, gomarble, adsby, adplus, nupact, albert AI, adsroid, and adspirer.

We compare what really matters: features, supported platforms, level of autonomy, pricing, and real-world limitations.

A Closer Look at the Tools

Pilot – Braike

Pilot is the flagship product of Braike, a French startup founded in 2026 and based in Levallois-Perret, near Paris. It's part of a three-product suite (Pilot, Sentinel, and CheckUp) built for media agencies and acquisition teams.

Its approach is firmly human-in-the-loop. The AI analyzes data in real time, identifies opportunities and anomalies, recommends optimizations, and executes changes — but only after explicit human approval through a dedicated validation card.

Its conversational interface, available through chat or voice, lets users interact with their advertising accounts using natural language.

Pilot natively supports Google Ads, Meta, TikTok, and Microsoft Ads, with additional connections available for Amazon Ads, DV360, Snapchat, OpenAI Ads, and other platforms. It also supports ongoing budget allocation and generates reports, dashboards, and presentations tailored to each client's branding.

What really sets Pilot apart is its ability to go beyond cross-platform advertising data. It also connects campaign performance with GA4 and actual sales data from platforms such as Shopify, Sellsy, and Salesforce.

In one internal client case, advertising platforms reported 36% more sales than GA4. That's exactly the kind of reporting gap Pilot helps identify, quantify, and explain.

Another key difference is pricing. Pilot charges a fixed monthly subscription starting at €225 excluding VAT, with no fees based on advertising spend. This removes the structural conflict of interest that can exist with spend-based pricing models.

Limitations: The AI agent takes a few minutes per conversational turn (a median of 2.5 to 5 minutes, longer in Max effort mode). The Claude/ChatGPT channel has been unavailable in production since August 2026, although a fix is working in pre-production. LinkedIn Ads isn't supported yet. Shopify integration is currently restricted to internal teams in production. No public customer case studies are available, and claimed improvements in reporting time or ROAS have not yet been measured with clients.

It's a serious but relatively new product, without a long track record yet.

Key strengths: Built-in human approval, cross-source data reconciliation (ad platforms, GA4, and sales), client-branded deliverables in French, and pricing independent of media spend.

Laier

Laier positions itself as a Paid Media analytics platform. It brings together Google Ads and Meta Ads campaign data and turns it into actionable insights through dashboards, ROI reports, and engagement tracking.

It also offers marketing automation and multi-channel management features.

At around $109 per month, with a free trial available, it's one of the more affordable options on the market.

Limitations: Coverage is limited to Google and Meta. Advertisers running campaigns on TikTok, LinkedIn, or Microsoft Ads will need another solution for those channels.

Its ability to make direct campaign changes is also limited. Laier is primarily an analytics and visualization tool, not an optimization agent.

Key strengths: Good value for money, easy onboarding, and centralized analytics.

Concord

Concord is an agentic media buying platform that has raised $3 million in seed funding and works with agency networks such as WPP and Havas.

Its promise is straightforward: turn a natural-language brief into a live, multi-platform advertising campaign, while reducing manual work by 70%.

It supports an impressive range of platforms, including DV360, Meta, YouTube, Amazon DSP, The Trade Desk, TikTok, and Google Ads.

Limitations: Concord is designed almost exclusively for large agencies with access to premium DSPs. Small businesses and independent agencies are not its primary audience.

With recent seed funding and limited public references, the product is still building its track record. Pricing is not publicly available and requires a custom quote.

Key strengths: Extensive multi-DSP coverage, strong fit for large media agencies, and one-step campaign creation from a brief.

Massive Dynamic

Massive Dynamic is a Paris-based startup founded in 2025, backed by a €3 million pre-seed funding round in July 2025.

It targets large advertisers managing multimillion-euro budgets across international markets.

The platform combines a general-purpose AI assistant with specialized agents handling campaign optimization, performance analysis, bidding strategies, reporting, and creative workflows.

Limitations: It's one of the newest and least publicly documented solutions in this comparison.

There's no public pricing page, no visible customer case studies, and access is available only through a demo.

For buyers evaluating the platform today, much of the decision comes down to confidence in its product roadmap. Its enterprise positioning also puts it out of reach for most independent agencies.

Key strengths: Specialized AI agents with deep capabilities and an enterprise focus suited to complex budgets and international markets.

Ryze

Ryze is an all-in-one platform combining autonomous paid advertising management and SEO, with a built-in website builder.

It manages bids, budgets, and creatives around the clock. It also provides account audits, search term cleanup, automated reporting, and a competitor ad library.

Ryze supports Google, Meta, Microsoft, TikTok, and LinkedIn, and offers a white-label solution for agencies.

Pricing starts at $10 per week or $89 per month.

Limitations: Covering both advertising and SEO comes with a trade-off. It's unclear how deeply Ryze handles each discipline compared with dedicated tools.

Its 24/7 autonomous management can work well for straightforward campaign structures. But for complex accounts involving multiple markets, long sales cycles, or different campaign types, automation without human oversight introduces risks.

Detailed customer testimonials backed by measurable results remain limited.

Key strengths: Combined advertising and SEO capabilities, affordable pricing, and agency-friendly features.

Stelleo

Stelleo is a French agentic copilot developed by former Antvoice team members. It has been in open beta since October 2026.

Its AI agents analyze Google Ads and Meta Ads data across multiple dimensions, including device, time of day, audience, and creative performance.

They recommend optimizations that advertisers approve before implementation.

Amazon and TikTok integrations are planned.

Stelleo claims performance improvements of 20–30% across Google and Meta.

Limitations: With its open beta launched only this month, Stelleo has no established track record.

The claimed 20–30% performance gains are not supported by publicly available case studies.

Current coverage is limited to Google and Meta, while Amazon and TikTok remain on the roadmap without confirmed release dates.

Pricing is available only upon request.

Key strengths: A clear copilot approach, ambitious performance claims, and strong roots in the French AdTech ecosystem.

gomarble

gomarble is designed for e-commerce brands.

It offers native Shopify and Google Ads integrations and stands out for its creative analytics capabilities, covering both video and static ads.

Its AI agent can create and manage campaigns, generate automated reports in PDF or by email, and handle multiple advertising accounts simultaneously.

Pricing starts at $99 per month.

Limitations: Advertising platform coverage is limited to Google Ads and Meta, and the product is primarily built for Shopify merchants.

Agencies managing B2B advertisers, service businesses, non-Shopify clients, or campaigns on TikTok and LinkedIn may find it too specialized.

Key strengths: Built-in creative intelligence, native Shopify integration, and transparent pricing.

adsby

adsby deliberately focuses on a single platform: Google Ads.

Designed for small businesses, freelancers, and smaller agencies, it helps users create campaigns with AI-generated ad copy and keywords, monitor accounts 24/7, track competitors, and produce white-label reports.

It supports more than 100 languages.

Entry-level pricing is around $19–29 per month.

Limitations: Google Ads only.

Any advertiser also spending on Meta, TikTok, or LinkedIn will need another tool to manage those channels.

That creates exactly the kind of fragmented workflow AI tools are supposed to eliminate.

Its focus on non-experts makes sense given the product's simplicity, but it also limits its appeal to more advanced teams.

Key strengths: Maximum simplicity, very low pricing, and a good fit for Google Ads beginners.

adplus

adplus is a multi-channel advertising solution focused on e-commerce, with strong Shopify integration.

It reads product catalogs and automatically generates campaigns. Importantly, all campaigns are created in a paused state, requiring approval before any advertising spend begins.

A unified dashboard brings together real-time data from multiple advertising networks.

Supported platforms include Google, Meta, TikTok, Microsoft, Reddit, and Pinterest.

Pricing starts at $99 per month.

Limitations: Its analytics and optimization capabilities are relatively lightweight compared with more advanced agentic platforms.

Reddit and Pinterest support may be of limited value to many advertisers.

Creating every campaign in a paused state is a useful safeguard, but it can slow down teams that need a faster operational workflow.

Key strengths: Broad platform coverage, paused campaigns by default, and a good fit for Shopify merchants.

nupact

nupact positions itself as an AI control layer for Paid Media.

It's a unified infrastructure designed for AI agents that analyze data and take action across advertising platforms.

The platform offers six structured workflows: campaign creation, budget optimization, unified reporting, creative intelligence, anomaly detection, and incrementality testing.

It connects with Google, Meta, TikTok, Amazon, and DSPs.

Limitations: nupact is the least publicly documented product in this comparison.

Its positioning somewhere between SaaS and middleware isn't entirely clear.

Using nupact also assumes that you already have AI agents and the technical expertise needed to connect them.

It's not a plug-and-play solution for a typical media team.

No public pricing or customer case studies are available.

Key strengths: High transparency, a data-first approach, and infrastructure suited to advanced analytics teams.

albert AI

albert (albert.ai) describes itself as the first autonomous AI platform for digital marketing, developed by Adgorithms since 2014.

Unlike copilots that recommend actions and wait for approval, albert operates autonomously.

Advertisers set goals and guardrails, while the AI handles execution without requiring approval for every decision.

It claims coverage of 90% of biddable advertising inventory, including Google, Meta, Instagram, YouTube, Bing, and programmatic channels.

Its capabilities include automated A/B testing and predictive budget allocation.

Limitations: The absence of human approval by default is both its main selling point and its biggest risk.

For accounts with strict business constraints, such as seasonal demand, regulated products, or fixed budgets, an AI making decisions on its own can lead to costly mistakes that are difficult to trace.

Access is aimed at large enterprises with significant media budgets.

There's no accessible offering for independent agencies or mid-market advertisers.

Key strengths: Full autonomy, more than a decade of experience, and extensive channel coverage.

adsroid

adsroid is a conversational AI agent for paid advertising, offering three levels of control:

• Manual: Queries and insights.

• Copilot: Optimization based on user-defined rules.

• Autopilot: Autonomous execution.

Every decision is logged along with the reasoning behind it.

Supported platforms include Google, Meta, TikTok, LinkedIn, Microsoft, GA4, and Search Console.

It also integrates with Slack, Zapier, Make, and webhooks, and offers an MCP API for developers.

A freemium plan is available, with a Pro tier at $99 per month.

Limitations: Three operating modes provide flexibility, but they also add complexity for smaller teams.

The actual safeguards governing Autopilot mode are not well documented.

Decision logging is valuable, but only if teams regularly review and act on those logs.

Key strengths: Decision transparency, three autonomy levels, extensive integrations, and developer access.

adspirer

adspirer takes a different approach: it works directly inside ChatGPT and Claude through the MCP protocol.

It offers more than 100 tools across Google Ads (39), Meta (20), LinkedIn (28), and TikTok (4).

Its REST API provides access to more than 400 endpoints.

The pricing model doesn't include commissions on advertising spend.

There's a free tier with 15 calls per month, plus paid subscriptions ranging from $49 to $199 per month.

Limitations: Its positioning inside existing AI assistants assumes teams already use ChatGPT or Claude in their daily workflows. That's not the case for every agency.

MCP configuration also requires some technical knowledge.

The free tier's 15 monthly calls are highly restrictive for professional use.

And once a session ends, campaign context is lost.

Key strengths: Fits into existing ChatGPT and Claude workflows, no spend-based fees, and extensive API capabilities.

Comparison Table

How to Choose the Right Tool

Before comparing features, there's a more fundamental question worth asking: Do you need a tool that solves one specific problem, or a platform that covers your entire Paid Media operation?

For highly specific needs, specialized tools are hard to beat.

adsby is an excellent option for Google Ads beginners: simple, affordable, and easy to use. gomarble and adplus are built for Shopify merchants who want an e-commerce copilot without needing deep Paid Media expertise.

adspirer targets teams already working in ChatGPT or Claude that want to connect their advertising accounts directly, without changing their existing workflow.

For these use cases, a specialist can outperform a general-purpose platform.

For larger-scale operations — agencies, acquisition teams, and multi-platform advertisers — the challenge is different.

It's no longer about managing one advertising platform. It's about staying on top of ten accounts, four platforms, and budgets that different teams often interpret differently.

Two main approaches emerge.

On one side are highly autonomous solutions designed for large advertisers.

albert AI operates without requiring human approval for every decision and targets businesses with significant media budgets.

Massive Dynamic uses specialized agents to serve international advertisers managing complex portfolios.

These are powerful tools built for organizations willing and able to let AI make decisions independently.

On the other side are solutions that keep humans in control while giving them back time and visibility.

This is where the Braike suite — Pilot, Sentinel, and CheckUp — stands apart.

Pilot acts as an AI advertising manager. It analyzes performance, creates deliverables, and recommends changes, but never modifies campaigns without approval.

Sentinel continuously monitors budgets and spending.

CheckUp audits advertising accounts using hundreds of control points.

Together, they cover the entire workflow: Monitor. Understand. Act.

It's the only solution in this comparison that combines automated client-branded reporting, real-time anomaly detection, structured audits, and human-approved campaign changes within one ecosystem, available in French, with pricing independent of advertising spend.

For an agency managing ten clients or an acquisition team working across several advertising platforms, it offers the most comprehensive solution on the market at this level of control.

Concord operates in a different segment. Its strength lies in programmatic advertising, with support for DV360, The Trade Desk, and Amazon DSP.

That makes it a natural fit for large media agencies working with those platforms — a segment Pilot doesn't fully address yet.

The bottom line:

• For a specific channel or vertical: Choose a specialized tool.

• For end-to-end Paid Media management with strong human oversight: The Braike suite stands out.

• For full autonomy across very large advertising budgets: Consider albert AI or Massive Dynamic.

• For multi-DSP programmatic media buying: Concord is a strong choice.

Conclusion

2026 marks a turning point in advertising campaign management.

AI is no longer just making recommendations. It's taking action.

The real question isn't whether you should adopt AI anymore. It's how much autonomy you're comfortable giving it — and how much control you want to keep.

On one side, copilots such as Pilot, Stelleo, and adsroid keep humans involved in the decision-making process.

On the other, autonomous platforms such as albert AI, Ryze, and Massive Dynamic take over much of the execution.

In between, hybrid solutions such as adplus, gomarble, and adspirer offer different levels of automation depending on how much you trust the technology.

There's also one important factor that's often overlooked in these comparisons: Who benefits when you spend more on advertising?

Some platforms charge a percentage of the advertising budget they manage.

A platform built around a fixed subscription fee, independent of media spend, has no direct financial incentive to increase that spend.

That's a selection criterion worth considering just as carefully as features or platform coverage.

Whatever solution you choose, success still comes down to the same fundamentals: clear objectives, well-defined guardrails, and regular performance reviews.

AI should amplify your strategy, not replace it.