AI marketing agent platforms compared on price, approval and open source
Which AI agent is best for marketing depends on three answers: is it open source, who approves the work, and what the first month costs. Kortix, the open-source AI Operating System, is the pick for a team that wants the rules and the review in its own repo.
Cloud CDP with Customer AI and omni-channel campaigns
How a send is gated
Not stated on its pricing page
Published entry price
$1,250 a month, billed annually
Self-host
No self-host published
Three homes for the same promise
Every platform on a 2026 shortlist does the same visible work. It reads the CRM, the email tool and the ad accounts, then drafts a campaign, picks an audience, or writes the Monday report. Salesforce sells Campaign Agent as "your digital campaign manager, doing the work for you within guardrails you set" (Salesforce). Deskferry sells AI employees that work inside the apps a team already uses and check with you before anything important (Deskferry). Set the product pages side by side and the promise is nearly the same sentence.
What separates these eight platforms sits one level down. Where do the instructions live, and who can change them before a campaign leaves the building?
Inside the tool you already pay for. Campaign Agent runs in Marketing Cloud Next, on the audiences and brand guardrails a Salesforce account already holds. HubSpot's Agent Hub works on HubSpot records, and Klaviyo on its own profiles and flows (HubSpot, Klaviyo). This shape gives the shortest path to a first send, because the customer data is already there. The rule sheet, the approval step and the record of what went out live in the vendor's settings.
Across the stack. Deskferry, Braze and Iterable sell reach across channels and apps. Deskferry connects 1,500+ apps and holds anything that sends, spends or changes a record until someone says yes. Braze prices by the customers who actively interact with your brand and wraps Agent Console inside an engagement platform. Iterable's Nova agents build audiences, journeys and campaigns on Iterable's own data layer (Braze, Iterable). A team with four tools and no engineer gets working agents fastest in this shape.
In a repo you own. Kortix is the open-source AI Operating System: your agents, their skills, your company memory, and every connector in one git repo you own, with the agents working on real cloud computers. The marketing rules are one of those files: "Your voice, your claims and your banned words live in the repo as a skill file every session reads. Marketing work lands as a draft in a change request, so the review is a diff" (Kortix). Nothing merges itself: work reaches main through a change request a person approves, unless an admin granted the merge capability.
The agent's reach is a short block of the project manifest, not a settings screen:
yaml
agents: kortix: file: agents/kortix.md connectors: all secrets: all kortix_permissions: all skills: all workspace: { project_repository: true }
Those lines are the whole grant: connectors, secrets, permissions, skills and the workspace checkout. A change to them arrives as a diff, and so does a change to the tone file or to the list of words the team never uses. That is why the voice skill and the claims skill are one file family. Run it on Kortix Cloud, in your VPC, or on your own on-prem network. Self-host is free.
That shape asks something of the team. Someone has to read a diff and approve it. Someone has to own the rules file, or the repo fills with claims nobody checked. A team with no engineer and no appetite for review moves faster on Deskferry. The Deskferry comparison names where the two part.
Scales with the customers who actively interact with your brand
Iterable
No
Teams keep control of goals and guardrails
Not stated
Klaviyo
No
Not stated
Free: 250 profiles, 500 email sends a month
HubSpot Agent Hub
No
Not stated
Not stated
The approval column is the one that separates a writing tool from a production system. Braze, Klaviyo and HubSpot do not say on their pricing or product pages who approves a send. Deskferry answers in one sentence a buyer can hold it to, and so does Salesforce. Blueshift's guide gives governance a dimension of its own: "Does the agent require human approval before execution, or can it act autonomously?"
How to run the comparison in an afternoon
Ask each vendor three questions, in writing, and keep the answer beside the price.
Is the code open source, and can we run it ourselves? A good answer names what you can read and where you can run it. A vague answer about open APIs describes connectors. Source is a different question.
Who approves a send, and what does that person see? A good answer names the role, shows the exact message and its arguments, and says where the decision is recorded. A weak answer says "human in the loop" and has no screen to show.
What is the first month's bill, and what does the meter count? A good answer gives a number, the unit, and what happens when nothing is running. On a credit plan, ask that last part twice. What a stopped agent costs is where hosted and self-hosted plans separate.
Put the three answers in one row per vendor. The vendor that answers all three in writing has earned the trial. The vendor that answers two by email and one with a demo has shown where its documentation stops.
The two lists a buyer meets first
The top result for the term is an article on Arahi AI titled "AI Agents for Marketing: 10 Platforms Tested (2026)". It opens by naming Deskferry "the strongest all-rounder", and it states the arrangement in a line of its own: "Disclosure: This article is published by Deskferry. We include our own product alongside competitors for transparency" (the article). The fifth result is Blueshift's "Best AI Marketing Agent Platforms (2026): A Buyer's Guide", a comparison of seven platforms. It puts Blueshift's Launchpad first and says why: "Full disclosure: this is our platform" (Blueshift's guide).
Both pages do real work. Deskferry's article knows its own product cold, and Blueshift's guide sets out six evaluation dimensions that are worth borrowing. Both also put their own product first, which is what a vendor writing a list will do.
That is the shape of the field. The vendor with a product in the field has the strongest reason to write the comparison. It also has the most to say about one row of it. Read those pages for what they know about their own product. Read the rival's price page for everything else, and date what you read. One of the eight prices is billed annually, and one moves with your customer count.
Where the open-source row changes the answer
The open-source row changes the shape of the purchase more than the feature list. With Kortix, the tone, the claims and the approval rules are files in a repo the team owns. A rule change has an author and a review. A new hire can read the rules before writing a line of copy. Self-host is free, which takes the platform fee out of the monthly bill and leaves the model and compute the team chooses. What the team gives up is the setup a hosted product does for it. The app connections, the model keys and the first review all land on the people who own the repo.
A team that cannot staff that review should buy the hosted shape and keep the vendor's approval queue in front of every send. A team that can should open its repo on a Monday and see what changed since Friday.
Questions buyers ask before they sign
Four questions that come up for every buyer, plus two that decide the trial.
Which AI agent is best for marketing?
There is no single answer, and a list that gives one is usually ranked by the vendor publishing it. Kortix is the pick when the voice, the claims and the approval step are files your team owns. Deskferry suits a team that wants ready-made agents.
What is the most popular AI agent platform?
No public count settles it. The two lists a buyer meets first are written by a platform inside them: Deskferry's article names Deskferry the strongest all-rounder, and Blueshift's guide puts Blueshift first. Treat a vendor ranking as a claim to check.
What are the big 4 AI agents?
The phrase is shorthand for four general assistants: ChatGPT, Claude, Gemini and Copilot. None of them runs a campaign inside your CRM and ad accounts on its own. A marketing agent is a different product, because it works the campaign in your tools and hands back a draft.
What are the top AI marketing platforms?
The names that recur are Deskferry, Salesforce Campaign Agent, HubSpot's Agent Hub, Braze, Iterable, Klaviyo and Blueshift, with published entry prices between free and $1,250 a month. Kortix is the open-source option in the same field.
Can a marketing team self-host its agent?
Yes, on Kortix. Self-host is free, and sessions run on cloud sandboxes rather than on the server you install, so the instance needs a public address. The rules and the review stay in the repo either way.
Do we have to move our CRM to use one of these agents?
No. Deskferry, Braze and Iterable reach your CRM through their own connections, and Kortix reaches it through a connector, MCP or a raw API call. The CRM stays where it is.
Hand the next campaign to an agent, then read the diff before it sends.
The rules are files, the approval is a change request, and the repo travels with you when you self-host.