The Best Marketing AI Agent Builders, Ranked and Scored

This information is correct as of August 2026. Growth Method has made every attempt to ensure the accuracy and reliability of the information provided.

Two years ago, if you wanted an AI agent to do marketing work, you bought whatever agent your vendor had built. Now the vendors are handing you the tools to build your own. HubSpot has an agent builder. Salesforce has an agent builder. So do Gumloop, Lindy, Zapier, Relevance AI, n8n, Make and Microsoft, and so do we. The category has a name, “AI agent builders”, and a crowded shelf.

Which leaves marketers with a harder question than whether to build agents at all: which builder, and for what?

We rank the ten that matter for marketing teams below, say who each one is for, and cover the rest of the field so you know what you are not missing.

Table of contents

What is a marketing AI agent builder?

A marketing AI agent builder is software that lets a marketer define an AI agent and put it to work. Defining an agent means setting its role and instructions, choosing the tools and data it can use, deciding how often it runs, and setting how much it can do before a human has to approve. Putting it to work means the agent then plans, drafts, monitors or reports against real marketing systems: analytics, ad platforms, the CMS, the CRM, email.

That definition draws a line through three things that get lumped together in most “best AI agents for marketing” lists:

• Agent builders. You design the agent. Instructions, tools, schedule and autonomy are yours to set. This article.
• Pre-built marketing agents. The vendor designed the agent; you configure it. Klaviyo Composer, HubSpot’s Prospecting Agent, ChatGPT Agent and the “AI helper” apps sit here. Useful, and covered in our guide to the best agentic marketing platforms, but you are a user, not a builder.
• Developer frameworks. CrewAI, LangGraph, the OpenAI Agents SDK. You write code. Powerful, and not what a marketing team reaches for.

Some products straddle the first two. Growth Method, HubSpot Breeze and Salesforce Agentforce ship pre-built agents and let you build your own on the same platform. The general-purpose builders (Gumloop, Lindy, Zapier Agents, Relevance AI, n8n, Make, Copilot Studio) start from a blank canvas and add marketing templates on top.

The shift is real, and marketing operations, not IT, is leading it. Scott Brinker, who has tracked the martech market for two decades, describes it this way:

“People who once lived inside marketing automation platforms such as Braze, HubSpot, Marketo, and Salesforce now talk about them differently: as back-end services. Useful. Important. Still very much in the stack. But increasingly not where they spend their day. Instead, they’re building their own apps and agents on top of them.”

“These aren’t rogue vibe-coders recklessly rolling their own. They’re experienced marketing ops professionals, serious about data quality, reliability, and compliance.”

Scott Brinker, chiefmartec, From apps to infrastructure: martech’s most important migration, April 2026

The numbers say the same, with the usual caveat that most of them come from vendors. Salesforce’s tenth State of Marketing report (February 2026, a double-anonymous survey of 4,450 marketing decision makers across 26 countries) found only 13% of marketers using agentic AI, while 82% of those using or planning to use agents expect a moderate or major improvement in ROI. HubSpot’s 2026 State of Marketing (1,500+ marketers surveyed) puts the share already using AI agents to run initiatives end to end at 19.2%. Both are vendor-run and both vendors sell agents, so read them as direction of travel rather than a census. The direction is not in doubt.

How we ranked these builders

We scored each builder against six tests. Three come from what makes an agent builder usable by a marketing team, three from what makes the agents it produces worth running. We evaluated from official documentation, pricing pages, release notes and public demos; we have not run a paid trial of every product, and we say so where a claim rests on a vendor’s word.

• Built for marketers, not admins. Can a marketer define an agent in plain language and tick boxes, without a developer, an admin or a rollout project?
• Marketing tool access. Does the agent connect to the tools marketing work runs through (analytics, ads, CMS, CRM, email), and can it act in them as well as read from them? Support for the Model Context Protocol counts for a lot here, because it turns “integrations we have built” into “any tool with an MCP server”.
• Model choice. Can you pick the model per agent or per task, across providers, including open-weight models? An agent builder that locks you to one vendor’s model locks your marketing operation to that vendor’s pricing and roadmap. We think routing by job is the right default.
• Guardrails and autonomy controls. Human-in-the-loop approvals, audit trails, step limits, and a clear switch between “draft it for me” and “do it”.
• A closed loop. Does the agent measure the outcome of what it did and adjust, or does it stop at “task complete”? This is the line between an agent and an automation with a language model bolted on, and it is the test most builders fail.
• Honest pricing. Agents that run on a schedule break per-seat maths. We favour pricing you can predict: per-seat with usage at cost, or credits with a published rate, over opaque consumption deals.

One more thing to hold in mind while reading any list like this. Forrester’s June 2026 read on the market is blunt:

“Three-quarters of enterprise leaders tell us they’re adopting agentic AI. Only a small minority have it running in meaningful production beyond ‘agentish’ chatbots, and true scaled multiagent systems are rarer still.”

Brian Hopkins, Craig Le Clair, Jeff Pollard, Rowan Curran and Leslie Joseph, Forrester, The State Of Agentic AI In 2026, June 2026

Gartner said something similar a year earlier, predicting that over 40% of agentic AI projects will be cancelled by the end of 2027 (the figure rests on a January 2025 poll of 3,412 webinar attendees, so treat the precision loosely) and estimating that only around 130 of the thousands of vendors calling themselves agentic actually were. The builders below are the ones we think clear that bar for marketing work.

The best marketing AI agent builders at a glance

The best marketing AI agent builders, ranked

1. Growth Method: best for lean B2B teams that want agents to run whole campaigns

Growth Method is the platform we build, and it takes the top slot for a specific buyer: the lean B2B team that wants agents that run campaigns, not tasks. A custom agent in Growth Method is a role you set up once: a name, plain-language instructions, a channel to focus on, the integrations and individual tools it may use, a schedule (every six hours through to monthly), and an autonomy setting. From then on it proposes campaigns from your live data, plans them, launches them through your connected tools, waits for real results, and writes up what happened.

That last part is what separates it from the workflow builders further down this list. Every campaign an agent runs moves through the same fixed track, Backlog to Planning to Live to Analysing to Complete, and the platform moves it forward in code, only ever one stage at a time. The agent decides what happens inside a stage; it can never skip, loop or invent a step. When a campaign has run for its set duration, the same agent pulls the numbers from your analytics, weighs them against the hypothesis, and records its verdict on the campaign. That is a closed loop, and it is the reason we scored ourselves highest on the test most builders fail.

Guardrails are built in rather than bolted on. Human in the loop agents draft and stop, emailing you a link to approve any action in a connected tool. Autonomous agents run end to end, but only after a manager has ticked a box accepting responsibility, and Growth Method records who accepted and when. Every run happens in a conversation that is the record: what the agent did, which tools it called, how many queries it made and to which data sources, all captured from what the system observed rather than what the agent said about itself.

Tool access covers the analytics stack out of the box (Google Analytics 4, Search Console, PostHog, Amplitude, Mixpanel, Microsoft Clarity) plus Webflow, GitHub, Buffer and any remote MCP server you care to add as a custom integration. Model choice is the customer’s, across OpenAI, Anthropic, Google DeepMind, Microsoft and open-weight models such as DeepSeek and Kimi K2, so a team can use a reasoning model to create campaigns, a cheaper model to plan them and an open-weight model to execute. Pricing is $150 per user per month with AI usage passed through at cost, no markup, and the first month comes with $150 of AI spend included.

Best for: teams of 1 to 10 generalist marketers who want agents that plan, launch and analyse campaigns tied to real analytics. It is not a general-purpose workflow canvas, not a customer service bot builder, and not a replacement for your CRM. If you want to build an agent that has nothing to do with running marketing campaigns, one of the builders below fits better.

2. HubSpot Breeze custom agents: best for teams already on HubSpot

HubSpot’s agent builder (you will also see it called Breeze Studio and Breeze Agents; HubSpot’s own naming has wandered) lets a marketer assemble a custom agent from four parts: Instructions, Actions, Knowledge and Inputs. Actions cover HubSpot’s own CRM and hub operations, web browsing, and external systems through MCP, and Breeze Assistant will draft an agent from a plain-language description. Custom agents moved to public beta in July 2026 and sit alongside HubSpot’s pre-built Customer and Prospecting Agents, which are priced per outcome ($0.50 per resolved conversation and $1.00 per lead recommended).

The strength is obvious: if your contacts, emails, forms, workflows and reporting already live in HubSpot, an agent built inside HubSpot is grounded in the same data and can act on it directly. The constraints are the flip side. Custom agents need a Professional or Enterprise hub, runs consume HubSpot Credits at around $10 per 1,000, HubSpot does not disclose which model runs your agent, and the loop is closed inside HubSpot rather than across your stack.

Best for: mid-market teams on HubSpot Professional or Enterprise who want agents grounded in their CRM. Not the pick if HubSpot is one tool among many, or if you want to choose the model.

3. Salesforce Agentforce: best for enterprise marketing on Salesforce

Salesforce has rebuilt its marketing product around agents. Marketing Cloud is now branded Agentforce Marketing, with Marketing Cloud Next as the agentic suite. Custom agents are built in Agent Builder from topics and actions, and marketers get pre-built Campaign Creation and Content Creation agents that turn a brief into a segment, email and SMS content, a Flow journey and a campaign summary. Extending an agent beyond what the declarative builder allows means Flow or Apex, so this is low-code with an admin in the loop.

Salesforce’s reasoning engine runs the agents, with bring-your-own-model options for enterprises. Pricing has moved to consumption: Flex Credits, reported at $500 per 100,000 with a standard action costing 20 credits, plus per-user Agentforce editions for teams that want seats. Enterprise Edition and above receive an allocation of free credits through Salesforce Foundations. Expect a negotiated deal rather than a price you can look up.

Best for: enterprises where Salesforce is the system of record and RevOps owns the rollout. Overkill for a lean team, and it assumes an admin.

4. Gumloop: best visual canvas for marketing ops workflows

Gumloop is the builder that turns up most often in marketing-intent lists, and for good reason: it is a drag-and-drop canvas where each node is a step (scrape this, summarise that, post here), with a library of marketing templates covering ad campaign management, competitor analysis, SEO automation and lead qualification. It supports 35+ models with a custom proxy option, so model choice is yours. Pro is $37 a month for 20,000 credits.

The trade-off is that Gumloop agents are workflows: excellent at repeatable, well-defined jobs, and dependent on you to define the loop. Measuring whether an output worked and adjusting is something you build, not something you get.

Best for: marketing ops people who think in flowcharts and want to automate research, reporting and content pipelines. Less good when the job is “decide what campaign to run next”.

5. Lindy: best model-agnostic builder for individual marketers

Lindy builds assistant-style agents (“Lindies”) that live in your email, calendar, Slack and browser. Setup is a plain-language description plus triggers and tools; the pitch is an agent that monitors ad spend, builds a dashboard or drafts ads, running on whichever model you choose. Lindy is explicit that it is model agnostic, letting you “pick your model of choice for each task”, and connects to thousands of apps plus MCP. Plans start at $29.99 per user per month for 3,000 credits.

Where it fits less well is team-scale marketing work. Lindy is strongest as one marketer’s set of assistants; coordinating several agents against a shared campaign backlog with shared guardrails is not what it is for.

Best for: an individual marketer or founder who wants a handful of assistants that act across their personal tool stack, with real model choice.

6. Zapier Agents: best if your stack already runs on Zapier

Zapier Agents sits on top of Zapier’s 9,000+ app integrations, which is the whole argument. If Zapier already connects your forms, CRM, ad platforms and spreadsheets, an agent that can use all of them out of the gate is a short step. Agents are configured in plain language, given knowledge sources, and billed separately from Zaps: a free tier of 400 activities a month, then $50 a month for 1,500, where an activity is a tool use, web search or knowledge query.

Zapier does not disclose or let you choose the model behind Agents, and the loop, as with every workflow builder, is yours to close.

Best for: teams already invested in Zapier who want to add reasoning to automations they have. Not the pick if model choice matters, or if you are starting from nothing.

7. Relevance AI: best for go-to-market and outbound teams

Relevance AI positions itself as an “AI workforce”: no-code agents that can be grouped into multi-agent teams, with 2,000+ integrations and a strong bias towards go-to-market work such as account research, lead qualification and outbound sequences. It supports GPT, Claude and Gemini models, and the entry point is low: Pro from $19 a month on an annual plan, with vendor credits included.

Marketers whose work is closer to sales development will find the templates fit. Brand, content and campaign-planning work is a less natural match.

Best for: GTM, demand gen and outbound teams that want several agents working a pipeline together.

8. n8n: best for technical marketers who want to own the stack

n8n is a visual workflow builder with an AI Agent node that accepts any connected chat model (OpenAI, Anthropic, Gemini, Ollama, OpenRouter and more), hundreds of integrations, and the option to self-host for free. Cloud plans start at €20 a month. It rewards a little JavaScript or Python and punishes none, and it is the builder that gives you the most control over data residency, model routing and cost.

That control is the point and the price. n8n assumes someone on the team is comfortable with a canvas that looks like engineering, and it will not tell you which campaign to run or whether it worked.

Best for: technical marketers, growth engineers and agencies who want full control, self-hosting or strict data residency.

9. Make AI Agents: cheapest way to start

Make has added AI Agents (in beta) and Maia, a conversational agent builder, on top of its 3,000+ app automation platform. You can run agents on Make’s own AI provider on every plan or bring your own model key, and Core starts at $9 a month for 10,000 credits. If you want to find out whether an agent helps before you spend real money, this is the lowest-stakes way in.

Beta status and the workflow-first design mean the same caveat as Gumloop and Zapier: the agent does what the scenario says, and measuring outcomes is on you.

Best for: small teams and existing Make users who want a cheap first agent.

10. Microsoft Copilot Studio: best for Microsoft 365 organisations

Copilot Studio is Microsoft’s no-code and low-code agent builder, sitting inside the Microsoft 365 and Power Platform world. It is not marketing-specific, but it is where marketing teams in Microsoft-first organisations will be told to build, and it is now multi-model: OpenAI by default, Anthropic’s Claude selectable per agent, plus the Azure model catalogue. Pricing is Copilot Credits, $200 a month for a 25,000-credit pack or pay as you go.

Marketing tool access runs through Microsoft 365, Dynamics and Power Platform connectors rather than native martech integrations, so ad platforms and analytics take some plumbing.

Best for: organisations standardised on Microsoft 365 where IT wants agents built inside the tenant.

The rest of the field

Builders that did not make the ranking, either because they are enterprise-only, content-first or too new to judge, but that you will see in shortlists and should know about.

• Adobe. Experience Platform Agent Orchestrator (generally available since September 2025) coordinates Adobe’s pre-built Audience, Journey, Experimentation and Data Insights agents, and CX Enterprise Coworker, announced in April 2026, runs across models from AWS, Anthropic, Google, Microsoft and OpenAI. Agent Composer, the part where you build your own, is aimed at martech teams and developers. Enterprise pricing only. Covered in our agentic marketing platforms ranking.
• Braze Agent Console. Launched April 2026, lets marketers create, configure and deploy agents inside Canvas and Catalogs. Model choice and pricing undisclosed; too new to rank.
• Typeface Arc Forge. An IT-facing platform for building custom marketing agents at scale, with 30+ connectors into CMS, DAM, marketing automation and ad channels. Enterprise only.
• Jasper and Writer. Both content platforms now include an agent builder: Jasper’s no-code Custom Agents on its Business plan, and Writer’s AI HQ Agent Builder, which lets admins enable Anthropic and OpenAI models alongside Writer’s own Palmyra. Worth a look if content production is the job; we cover both in the agentic platforms piece.
• Google Gemini Enterprise Agent Platform. The renamed Vertex AI Agent Builder (April 2026), with a low-code Agent Studio and 200+ models. A developer platform first; marketers get to it through IT.
• Relay.app, StackAI, Airtable Omni. Capable general builders that appear in marketing lists less often than the ten above. Relay.app is a friendly Zapier alternative from $19 a month annual; StackAI leans enterprise and compliance; Airtable’s Omni builds agents over Airtable bases, which is handy if your marketing ops already live there.
• Copy.ai. Now part of Fullcast (acquired October 2025), still sold as a GTM AI platform with a content agent studio.

And a note on the products that appear in “agent builder” lists but are not builders. Klaviyo Composer, ChatGPT Agent, Manus and Sintra give you agents the vendor designed. You configure them, sometimes cleverly, but you do not define what they are. That is a different product with a different job.

How to choose the right one for your team

The builders above look similar on a feature grid and diverge sharply in practice. As with agentic platforms, the deciding factor is the buyer.

• You are a lean B2B team (1 to 10 marketers) and want agents that run campaigns, not tasks. Start with Growth Method. The fixed campaign track, the analytics integrations and the closed loop are the point; you set your goal and the agents work towards it.
• You are on HubSpot Professional or Enterprise. Switch on Breeze custom agents. Grounding in your own CRM data beats generic integrations, and the credit pricing is published.
• You are an enterprise on Salesforce or Adobe. Agentforce or Adobe’s stack, chosen by which suite is already your system of record. Budget for an admin and a rollout.
• Your work is workflow-shaped: research, reporting, content pipelines, outbound. Gumloop for a visual canvas with marketing templates, Relevance AI for GTM and outbound, Lindy for personal assistants, Zapier Agents or Make if you already automate there, n8n if you want to own the infrastructure.
• IT has standardised on Microsoft. Copilot Studio.

Whatever the shortlist, ask three questions in the demo. Can I choose the model, and swap it later? What happens when the agent wants to change something in a live system, and where is the record of what it did? And when the work is done, does the agent measure whether it worked, or does it only tell me it finished? Most builders answer the first two well and the third badly. The third is the one that decides whether you have bought an agent or an automation.

The bottom line

A marketing AI agent builder lets a marketer define an agent, its instructions, tools, schedule and autonomy, and run it against real marketing systems. The category is crowded and the buyers are not interchangeable. Enterprise builders live at Salesforce, Adobe and Microsoft. CRM-grounded agents live at HubSpot. Workflow-shaped work lives at Gumloop, Lindy, Zapier, Relevance AI, n8n and Make. And lean B2B teams that want agents to plan, launch and analyse whole campaigns, with any model and a record of every step, have their own best option.

Growth Method is the agent builder for B2B marketing teams driving pipeline with fewer people. If that sounds like your team, get started with a 30-minute call with Stuart, our founder.

Frequently asked questions

What is a marketing AI agent builder?

A marketing AI agent builder is software that lets a marketer define an AI agent (its role, instructions, the tools it can use, how often it runs and how much it can do without approval) and then run that agent against real marketing work, such as planning campaigns, drafting content, monitoring ad spend or reporting on results. It is different from a pre-built marketing agent, which you configure but do not design, and from a developer framework, which needs code.

What is the best marketing AI agent builder?

There is no single best builder, because the buyers differ. Growth Method is the best fit for lean B2B teams that want agents to plan, launch and analyse whole campaigns against live marketing data. HubSpot Breeze custom agents suit teams already on HubSpot Professional or Enterprise, and Salesforce Agentforce suits enterprises on Salesforce. Gumloop, Lindy, Zapier Agents, Relevance AI, n8n and Make are general-purpose builders that marketers use for workflow-shaped work, and Microsoft Copilot Studio fits Microsoft 365 organisations.

What is the difference between an agentic marketing platform and a marketing AI agent builder?

An agentic marketing platform ships with pre-built agents that do marketing work out of the box. A marketing AI agent builder lets you define your own agents: their instructions, tools, schedule and autonomy. Some products are both. Growth Method, HubSpot Breeze and Salesforce Agentforce ship pre-built agents and let you build custom ones; Gumloop, Lindy, Zapier Agents, Relevance AI, n8n and Make are builders first, with marketing templates on top.

Do marketers need to code to build AI agents?

Not for most of the builders in this list. Growth Method, HubSpot Breeze, Gumloop, Lindy, Zapier Agents, Relevance AI, Make and Copilot Studio are configured in plain language and tick boxes. Salesforce Agentforce is low-code, with admins extending agents through Flow or Apex. n8n is a visual canvas that rewards a little JavaScript. Developer frameworks such as CrewAI, LangGraph and the OpenAI Agents SDK need code and are not covered here.

How much do marketing AI agent builders cost?

Entry points range from free to enterprise contracts. Make starts at $9 a month, Relevance AI at $19 a month on an annual plan, n8n Cloud at 20 euros a month (or free self-hosted), Lindy at $29.99 per user a month, Gumloop at $37 a month and Zapier Agents at $50 a month after a free tier. Growth Method is $150 per user a month with AI usage passed through at cost. HubSpot custom agents need a Professional or Enterprise Hub plus HubSpot Credits at roughly $10 per 1,000. Copilot Studio is $200 a month per 25,000 credits or pay as you go. Salesforce Agentforce is a consumption-based enterprise deal.

Which marketing AI agent builders let you choose the AI model?

Growth Method, Lindy, Gumloop, Relevance AI, n8n, Make and Microsoft Copilot Studio all let you pick from multiple providers, including open-weight models on several of them. HubSpot Breeze and Zapier Agents do not disclose or expose the model behind their agents. Salesforce runs its own reasoning engine with bring-your-own-model options for enterprises.

Is OpenAI Agent Builder still available?

Not for much longer. OpenAI is deprecating Agent Builder and has scheduled it to shut down on 30 November 2026. Existing users can keep using it during the transition window. If you built agents there, plan a migration to one of the builders in this list.