AI marketing agents are getting useful.

Some can find SEO opportunities, write and publish content, monitor AI search visibility, research accounts, build campaigns, update CRMs, and watch performance without needing a new prompt for every step.

The right one depends on the work you want to hand off.

For a startup that wants one system across SEO, GEO, social, content, Reddit, and influencers, Okara is our top pick.

For custom workflows across an existing stack, look at Gumloop.

Jasper is strong for large content teams. HubSpot Breeze and Salesforce Agentforce make more sense when your marketing already runs inside those CRMs.

Here is the full list.

Best AI Agents for Marketing

AI marketing agent	Best for	Main use
Okara	Startups and lean marketing teams	SEO, GEO, content, social, Reddit, influencers, and other organic marketing
Gumloop	Custom marketing workflows	Building agents across your existing tools
Jasper	Enterprise content teams	High-volume, on-brand content
HubSpot Breeze	HubSpot users	CRM-aware marketing agents
Salesforce Agentforce Marketing	Large enterprises	Campaigns built on Salesforce customer data
ActiveCampaign	Email and lifecycle marketing	Campaigns, journeys, and customer automation
Relevance AI	Custom agent teams	Building your own multi-agent workforce
Tofu	B2B demand generation	Personalized ABM campaigns
AirOps	SEO and AI search	Search and content workflows at scale
Copy.ai	B2B content operations	Repeatable content and GTM workflows

Our picks by use case

Best overall for startups: Okara
Best for custom workflows: Gumloop
Best for enterprise content: Jasper
Best for HubSpot users: HubSpot Breeze
Best for enterprise campaign orchestration: Salesforce Agentforce Marketing
Best for lifecycle marketing: ActiveCampaign
Best platform for building custom agents: Relevance AI
Best for B2B demand generation: Tofu
Best for SEO and AI search: AirOps
Best for repeatable B2B content: Copy.ai

What Counts as an AI Marketing Agent?

An AI marketing agent can take a goal, work out the steps, use tools or data, and complete several parts of the job without waiting for a new prompt at every stage.

Say you want to grow a company LinkedIn account.

A normal AI assistant can write a post when you ask.

A marketing agent can potentially study your previous posts, learn your voice, find topics, draft new posts, publish approved content, monitor performance, and use that data when creating the next batch.

The useful measure is how much of the workflow it can handle.

AI assistant vs. marketing automation vs. AI agent

Type	Example
AI assistant	“Write five subject lines for this email.”
Marketing automation	“When someone submits this form, send this email.”
AI agent	“Find pages losing search traffic, decide which one to improve, draft the changes, and send them for approval.”

Most products on this list combine some of all three.

How We Picked These Tools

We looked at six things.

Autonomy: How many steps can the agent complete before it needs a person?

Execution: Can it make or publish something, or does it stop after giving advice?

Context: Can it use your product information, brand voice, analytics, CRM data, previous content, or campaign history?

Integrations: Which marketing tools can it read from or write to?

Channel depth: Does it do one marketing job well or cover several?

Human control: Can you review important work before it goes live?

We reviewed current first-party product documentation and pricing information in September 2026.

1. Okara

Best for startups and lean teams running several organic marketing channels

Okara is an AI CMO made up of specialized marketing agents.

You give it your website first. Okara learns about your product, audience, competitors, positioning, and brand, then passes that context to its agents.

Depending on the plan, those agents cover:

SEO
GEO and AI search
content
LinkedIn
X
Reddit
influencer marketing
backlinks
technical SEO and coding
article publishing

The SEO Agent finds technical and content opportunities. The GEO Agent tracks how often a brand appears and gets cited in AI answers. Social agents create content using the company's voice and previous posts.

The Influencer Agent helps find and work with creators.

Okara also connects with Google Search Console and GA4. Approved SEO or GEO fixes can be turned into GitHub pull requests, and articles can be published to supported CMS platforms.

Who should use Okara?

Okara makes the most sense when a small team is juggling several channels.

A founder might need to improve a page ranking at position 14, publish two articles, draft LinkedIn posts, find relevant Reddit threads, and recruit creators in the same week.

Using a separate AI tool for every job gets messy.

Okara keeps those workflows under the same company context.

Teams focused mainly on paid ads, enterprise CRM journeys, or complex email automation will probably get more value from a specialist platform.

Okara pricing

Current monthly plans include:

Free AI CMO: $0
AI CMO Lite: $129/month
AI CMO Pro: $249/month

Annual plans cost less per month.

Pick Okara if: you have a small marketing team and want one system working across several organic growth channels.

2. Gumloop

Best for building custom marketing workflows

Gumloop lets you build AI agents that work across the software your team already uses.

A marketing workflow could pull data from a CRM, research accounts on the web, analyze the results, generate personalized emails, send them for approval, and update the CRM afterward.

Common marketing jobs include:

competitor research
lead enrichment
SEO audits
CRM updates
content research
campaign briefs
outreach
reporting

Gumloop has more than 100 integrations.

That flexibility is its main appeal.

Say your team has a very specific lead-generation process involving five different tools. A pre-built marketing platform may never support that exact sequence. Gumloop lets you build it.

The tradeoff is setup.

Someone has to decide how the workflow should behave, connect the tools, test it, and fix it when something changes.

If your team already knows which processes it wants to automate, that is usually fine. If you want an agent to decide what marketing work should happen next, Gumloop requires more work upfront.

Gumloop pricing

Gumloop moved to usage-based pricing in 2026. Model and compute costs are passed through, with an additional orchestration fee.

Pick Gumloop if: you already have a marketing stack and want to build agents around your own processes.

3. Jasper

Best for large content teams

Jasper has moved well beyond its original AI copywriter product.

It now has more than 100 specialized marketing agents covering areas such as:

research
content creation
SEO
AEO and GEO
social
performance marketing
lifecycle marketing
localization
content repurposing

Its strongest feature for larger companies is Jasper IQ.

Companies can give Jasper their brand voice, product details, audience information, terminology, and other internal context. Its agents use that information when creating content.

This solves a real problem for large marketing teams.

Generating another blog post is easy. Keeping hundreds of pages, ads, emails, and social posts consistent across teams and countries is harder.

Jasper is built for that environment.

It is less compelling if you want one autonomous system working across influencer outreach, community engagement, SEO implementation, social publishing, and other operational jobs.

Jasper pricing

Jasper Pro costs $69 per seat per month when billed monthly. Business pricing is custom.

Pick Jasper if: your company produces a lot of content and brand consistency is one of the main constraints.

4. HubSpot Breeze

Best for companies already using HubSpot

Breeze runs inside HubSpot, which gives it access to context standalone AI tools often have to recreate.

Depending on your HubSpot setup, that context can include:

contacts
companies
lifecycle stages
campaign activity
previous conversations
CRM history

HubSpot also lets supported customers build custom agents with Breeze Assistant.

You describe the job in plain language, and Breeze can help define the goal, tools, and knowledge the agent needs.

For a team already running marketing through HubSpot, this is useful. An agent can work with the same customer data your campaigns already depend on.

The case is weaker for companies that do not use HubSpot. Moving your CRM and marketing stack just to get Breeze would be a much bigger decision than signing up for a standalone AI tool.

Pick HubSpot Breeze if: HubSpot already holds most of your marketing and customer data.

5. Salesforce Agentforce Marketing

Best for enterprise campaign orchestration

Salesforce Agentforce Marketing is built for companies with large customer datasets and complex campaign operations.

Its marketing agents can help with jobs such as:

audience creation
campaign planning
content generation
personalization
campaign execution
analysis

The Salesforce data underneath the agents is the main advantage.

An enterprise may have years of information about customers, accounts, purchases, conversations, and campaigns in Salesforce. Agentforce can use that information when building audiences or deciding how to personalize a campaign.

This is enterprise software, though.

A small startup does not need the same data infrastructure or campaign machinery as a company with millions of customer records.

Pick Salesforce Agentforce Marketing if: Salesforce already sits at the center of your customer and marketing operation.

6. ActiveCampaign

Best for email and lifecycle marketing

ActiveCampaign has spent years building email and marketing automation. Its Active Intelligence product adds agents to that existing system.

It can help with:

email campaigns
customer journeys
automations
campaign analysis
content improvements
segmentation
performance monitoring

Because ActiveCampaign already has campaign and customer data, its AI can work with more useful context than a generic writing assistant.

For example, it can spot weak campaign performance and help create an improved version using what it already knows about the account.

That is a strong use case for agents: repeated work with clear data and feedback.

ActiveCampaign is less relevant if your biggest problems are SEO, community marketing, or influencer campaigns.

Pick ActiveCampaign if: email, messaging, and lifecycle automation drive a meaningful share of your growth.

7. Relevance AI

Best for building your own team of AI agents

Relevance AI gives teams the building blocks for creating agents and connecting them into multi-agent Workforces.

A marketing team could build separate agents for:

competitor research
SEO research
content
prospect enrichment
CRM updates
campaign reporting
outbound

Those agents can pass work between each other.

You might have a research agent find a new market opportunity, a content agent turn the research into an article, and another agent prepare distribution.

Relevance AI supports more than 2,000 app integrations.

The product gives you more control than a pre-built marketing platform, but someone has to design the system.

That makes it a better fit for teams with unusual processes or people who enjoy building their own internal tools.

Relevance AI pricing

Current plans include:

Free: $0
Pro: from $19/month on annual billing
Team: from $234/month on annual billing
Enterprise: custom

Usage also depends on Actions and model costs.

Pick Relevance AI if: you want to design your own agent team rather than use a fixed set of marketing agents.

8. Tofu

Best for B2B demand generation and ABM

Tofu focuses on a narrower job: personalized B2B campaigns.

Its platform has three main agents:

Research
Create
Launch

They research accounts, produce personalized campaign assets, and send those campaigns through the company's existing GTM stack.

Typical use cases include:

1:1 ABM
outbound
lead nurture
event follow-up
account expansion
re-engagement

A B2B company targeting 500 accounts could manually research each account and write separate messaging for all of them.

Most teams will not do that.

Tofu uses agents to make that level of personalization more practical.

It is much less relevant for companies whose main growth channels are SEO, organic social, communities, or influencers.

Pick Tofu if: account-based marketing and B2B demand generation are major parts of your GTM strategy.

9. AirOps

Best for SEO, GEO, and content operations

AirOps is aimed at teams producing and improving search content at scale.

Its workflows cover areas such as:

SEO
AEO
GEO
AI search visibility
content research
new content
content refreshes
measurement

This becomes valuable once a site has hundreds or thousands of pages.

At that scale, the problem is deciding which pages need attention, what needs to change, how to make those changes consistently, and whether the work improved search performance.

AirOps helps teams build workflows around that process.

It also puts a lot of emphasis on AI search visibility, including brand mentions, citations, and share of voice.

Companies looking for a full marketing system will still need other tools for channels such as social, CRM, email, or influencers.

Pick AirOps if: SEO, content, and AI search account for a large part of your acquisition strategy.

10. Copy.ai

Best for repeatable B2B content workflows

Copy.ai's Content Agent Studio lets companies turn recurring content processes into agents.

Teams can build agents for:

blog posts
emails
case studies
sales collateral
other repeatable content

One useful feature is training these agents from examples of work you already like.

A company with a strong case-study format, for example, can use its existing case studies to teach the agent what the final output should look like.

That is more useful than rewriting the same giant prompt every week.

Copy.ai works best when your team already knows what good content looks like and wants to produce more of it.

It covers less of the surrounding marketing work than an all-in-one system.

Copy.ai pricing

The self-serve Chat plan starts at $29/month, with larger GTM and enterprise plans available.

Pick Copy.ai if: you have repeatable B2B content processes and want agents to handle more of the production work.

Best AI Marketing Agent by Use Case

Best for startups: Okara

A startup usually does not have separate people for SEO, content, social, GEO, Reddit, and influencer marketing.

Okara covers those jobs from one system, which makes it a strong fit for small teams.

Best for custom automation: Gumloop

Gumloop is better when your workflows are specific to your company and need to cross several existing tools.

Best for enterprise content: Jasper

Jasper's brand context and large library of marketing agents make it a strong option for companies producing a lot of content across teams and markets.

Best for CRM-driven marketing: HubSpot Breeze

If your customer data already lives in HubSpot, Breeze can use it without forcing you to rebuild that context somewhere else.

Best for large enterprises: Salesforce Agentforce Marketing

Agentforce is built around Salesforce customer data and large-scale campaign operations.

Best for email marketing: ActiveCampaign

ActiveCampaign combines agents with the customer journeys, campaign history, and automation tools it already had.

Best for building custom agent teams: Relevance AI

Relevance AI gives you more freedom to decide which agents exist and how they work together.

Best for ABM: Tofu

Tofu is purpose-built for researching accounts and creating personalized B2B campaigns.

Best for SEO and AI search: AirOps

AirOps is strongest when you need a repeatable system for creating, updating, and measuring large amounts of search content.

Best for repeatable B2B content: Copy.ai

Copy.ai is useful when your company already has proven content formats and wants to turn them into reusable workflows.

How to Choose an AI Marketing Agent

Start with the work your team keeps doing manually.

If a marketer spends six hours every week finding pages that are slipping in Google, use that as the test case.

Can the agent find those pages itself? Can it explain what changed? Can it draft the fix? Can it update the CMS? Can it measure the result?

Those questions tell you more than a feature list.

Also check how much context the agent gets. Marketing output improves when the system knows your product, ICP, positioning, competitors, previous content, analytics, and campaign history.

Then look at permissions.

Publishing a blog post is different from drafting one. Sending 10,000 customer emails is different from suggesting a subject line. Editing production code is different from flagging an SEO bug.

A good agent should make it obvious where a person reviews the work.

Finally, measure results instead of output volume.

Useful metrics include:

qualified traffic
rankings
AI citations
leads
conversions
pipeline
engagement
retention
time saved
cost per result

An agent that generates 100 posts nobody reads has not saved your marketing team.

How Autonomous Are AI Marketing Agents Today?

There is a wide range.

At the simplest level, an AI tool waits for instructions and returns an answer.

A more capable workflow can research a topic, create an outline, write an article, add metadata, and prepare it for publication in one run.

Agents go further by choosing actions based on what they find.

An SEO agent, for example, might notice a page dropping from position 6 to position 14, inspect competing pages, propose an update, and send the changes for approval.

The most autonomous systems keep watching for new opportunities after finishing the first task.

Few products can do that well across an entire marketing department today. Individual workflows are much further along.

SEO monitoring, content production, lead research, CRM enrichment, email campaigns, and reporting are already good candidates for agents because the work happens often and produces measurable feedback.

Can AI Agents Replace a Marketing Team?

AI agents can already take a meaningful amount of repetitive work off a marketing team's plate.

They are useful for:

monitoring data
research
competitor tracking
finding opportunities
drafting
content updates
repurposing
lead enrichment
recurring analysis
reporting

Humans still make most of the harder calls around positioning, taste, strategy, original ideas, relationships, and brand judgment.

A small team can use agents to get far more work done without hiring a specialist for every channel.

That is probably the most useful way to think about them in 2026.

Frequently Asked Questions

What are the best AI agents for marketing?

The best AI agents for marketing in 2026 include Okara, Gumloop, Jasper, HubSpot Breeze, Salesforce Agentforce Marketing, ActiveCampaign, Relevance AI, Tofu, AirOps, and Copy.ai.

The right choice depends on the job. Okara covers several organic marketing channels, Gumloop and Relevance AI are better for custom agents, Jasper focuses on enterprise content, and HubSpot and Salesforce are strongest when your marketing data already lives in their platforms.

What is the best AI marketing agent for startups?

Okara is a strong option for startups because it covers SEO, GEO, content, social, Reddit, influencer marketing, and related organic growth work in one system.

A startup that only needs one specific function may get better value from a specialist tool.

What is the best AI agent for marketing automation?

Gumloop is a good fit for teams that want to build custom workflows across several tools.

ActiveCampaign is better suited to customer journeys, email, SMS, and lifecycle automation.

What is the best AI agent for content marketing?

Jasper is one of the strongest options for large content teams because it combines specialized marketing agents with company and brand context.

Copy.ai is useful for turning proven content formats into repeatable workflows.

What is the best AI agent for SEO?

AirOps and Okara serve different types of teams.

AirOps is strong for large-scale SEO, content, and AI search workflows. Okara combines SEO with other channels such as GEO, social, Reddit, content, and influencers.

Okara includes agents for social platforms alongside the rest of a company's marketing context.

Teams that need a highly customized social workflow can also build one with Gumloop or Relevance AI.

What is the best AI agent for email marketing?

ActiveCampaign is one of the strongest options for email and lifecycle marketing because its agents can work with customer data, campaign history, automations, and messaging channels.

What is the best AI marketing agent for enterprise companies?

Salesforce Agentforce Marketing is well suited to companies already running on Salesforce.

HubSpot Breeze is a better fit for HubSpot customers.

Jasper is particularly strong for enterprise content operations.

Can AI agents run marketing campaigns?

Yes. Depending on the product, agents can research audiences, create content, segment contacts, build workflows, publish or send campaigns, monitor performance, and recommend changes.

Capabilities vary a lot between products, so check which actions an agent can take without human intervention.

Can AI marketing agents publish content automatically?

Some can publish directly to websites, social platforms, email systems, and other connected tools.

For high-impact changes, keeping an approval step is usually sensible.

Can AI agents improve SEO?

AI agents can find search opportunities, audit pages, identify technical problems, update content, create new pages, suggest internal links, monitor rankings, and analyze Search Console data.

Some products can also push approved changes into a CMS or codebase.

Can AI agents help with GEO and AI search visibility?

Yes. Okara, Jasper, AirOps, HubSpot, and other marketing platforms now have features related to GEO, AEO, or AI search.

These tools can track brand visibility and citations, find content gaps, and help teams improve pages that AI systems may use as sources.

Is ChatGPT an AI marketing agent?

ChatGPT can perform many marketing tasks, but a dedicated marketing agent usually adds persistent company context, specialized workflows, connected tools, and the ability to take actions across several steps.

Will AI marketing agents replace marketers?

They will automate more execution.

Marketers will still decide which market to pursue, how to position the product, which channels deserve investment, what good creative looks like, and when the data is misleading.

The companies that get the most value from agents will probably be the ones that know which decisions should stay human and which recurring tasks can safely be handed off.

Sources

Product capabilities and pricing in this guide were checked against first-party product pages and documentation in September 2026.

Okara — pricing and AI CMO documentation
Gumloop — AI Marketing Agent and pricing documentation
Jasper — Marketing Agents and pricing documentation
HubSpot — Breeze Assistant and agent documentation
Salesforce — Agentforce Marketing documentation
ActiveCampaign — Active Intelligence and autonomous marketing documentation
Relevance AI — pricing and AI Workforce documentation
Tofu — Agentic Demand Gen documentation
AirOps — SEO, content, and AI search documentation
Copy.ai — Content Agent Studio and pricing documentation