Canonical: https://marketingdrs.com/agentic-marketing/
Language: en
Originally published: 2026-11-03
Updated: 2026-11-03

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IDEAS FOR MEDICAL PRACTICES

# Agentic Marketing: The Capability Matters. The Label Is Oversold.

Agentic marketing has acquired the usual accessories of a hot marketing category: platforms, summits, manifestos, and declarations that the old playbook is dead.

My first reaction was pretty simple: haven’t we already been doing some of this?

At Marketing Doctors, I work with an AI collaborator I call Chispa. I set objectives, bring business context, question conclusions, and review the work. The AI researches, uses connected tools, compares evidence, drafts, checks, and revises.

Some of that work fits what vendors now call [agentic marketing](https://marketingdrs.com/agentic-marketing/#what-does-agentic-marketing-actually-mean). Giving it a name can help explain the capability. The name alone tells you very little about whether the work is any good.

## What does agentic marketing actually mean?

A useful working definition is marketing work delegated to AI that can choose and revise the steps toward a goal, use tools to perform those steps, and respond to what happens within defined limits.

The difference is how much the AI gets to decide. A fixed workflow follows a sequence someone designed. An agent can decide which step to take next as it finds new information.

Anthropic makes that distinction in its engineering guidance and recommends using the simplest approach that meets the need. More autonomy adds costs and complexity that need to earn their place. [Anthropic’s explanation of workflows and agents](https://www.anthropic.com/research/building-effective-agents)

Human approval can remain part of the process. Klaviyo, for example, describes an agent that performs marketing work while people approve what goes live. [Klaviyo’s definition](https://www.klaviyo.com/composer/what-is-agentic-marketing)

A system can decide how to research something and still need permission to publish, contact customers, or spend money. Those are separate decisions.

## Here’s what this looks like in our work

Consider a recent revision we prepared for our own [PPC agency page](https://marketingdrs.com/pay-per-click-agency/).

The assignment was to explain the service more clearly and answer the questions a prospective buyer would reasonably ask. You can see the revised page on our website.

That required research before copy.

We examined Google Ads Keyword Planner data, Semrush estimates, practitioner discussions, our documented service scope, and relevant platform guidance. Chispa helped gather and compare that material. I supplied direction and challenged the interpretation.

The keyword tools disagreed substantially. For "PPC agency," Google’s inspected Keyword Planner table showed 5,400 average monthly searches, while the retrieved Semrush estimate was 14,800.

We preserved the disagreement. The exact cause wasn’t established, so we didn’t average the figures or select whichever made the opportunity look bigger.

The buyer research also changed what the page needed to explain. The practitioner discussions we reviewed included concerns about wasted spending, wrong-clinic calls, and clicks that failed to become consultations. Those discussions were a small sample, useful for identifying questions rather than measuring how common each problem was.

The revised page addressed campaign scope, separate advertising and management costs, and the distinction between an inquiry and an appointment. We removed unsupported assurances and avoided inventing prices, certifications, or guaranteed results.

That is where the marketing judgment happened. Faster writing would have been a small part of the job.

## The AI needs context, and the context needs checking

We maintain a working knowledge base with service facts, previous decisions, quality standards, and dated work records.

That helps Chispa retrieve relevant context without making me explain everything again. It also gives us a record against which to check proposed changes.

Saved information needs checking too. An earlier decision may have been replaced. A note may describe a preview rather than the public website. A summary may report a result without containing the evidence behind it.

Yext makes a useful point in its explanation of agentic marketing: systems that act need trustworthy information to act on. [Yext’s discussion of verified data](https://www.yext.com/knowledge-center/agentic-marketing)

In practice, maintaining that trust requires dates, sources, status checks, and corrections. Uploading a folder and calling it "memory" leaves a lot of work unfinished.

## Review has to go beyond the writing

The PPC revision went through checks of the preview page, structured data, links, and desktop and mobile presentation. Production release remained a separate step.

On another page in the same website project, a visual check caught a styling problem that affected the visibility of a button’s text. We corrected it and checked the result.

A page can contain persuasive copy and still make the next action difficult to see. An AI can also produce something that looks technically correct but fails when displayed or used.

Checking the actual result is part of the assignment.

We also have to be clear about what those checks tell us. A working page and valid markup tell us the implementation works. They don’t demonstrate an increase in qualified inquiries, appointments, or revenue.

Those outcomes require their own measurement.

## "A human reviews it" needs a job description

A vague approval step can become a quick glance at polished output.

In our workflow, review includes questions such as:

- Does the evidence support the claim?
- Does this describe a service we actually provide?
- Have we preserved an important previous decision?
- Does what we implemented work where people will use it?
- What remains unknown?
- Who has authority to approve the next action?

The AI’s role includes pointing out problems and questioning assumptions. Mine includes judging whether the reasoning and result meet the business need.

Automatically agreeing with each other doesn’t help either of us.

## Where should a business owner start?

A practical starting point is one recurring marketing task with a clear result you can inspect. Have the AI investigate customer questions, prepare a performance report, or research a page revision.

Give it access to the relevant information, define what it can do, and establish what a good result looks like. Review the work and record the corrections before expanding its responsibilities.

For example, ask it to examine a service page and identify questions a buyer might still have. Require sources for its findings and a draft you can review. Keep publication under your control.

You’ll have a manageable piece of work to judge. Did it find something useful? Were its sources credible? How much correction did it need? Was the result worth the time and cost?

## What should you ask an agentic marketing vendor?

Ask for a worked example.

Have the vendor show what the system decided, which information it used, what happened when a tool failed, and how someone could inspect or reverse its actions.

Ask which actions require approval. Establish who can publish, send messages, change targeting, or spend money.

Then ask how success will be measured. The number of assets generated tells you about output. Your business may need qualified inquiries, useful conversations, appointments, or sales.

Shelly Palmer’s review shows how widely vendors’ definitions differ, particularly around autonomy and approval. Buyers need those operational details spelled out. [Palmer’s analysis](https://shellypalmer.com/2026/11/what-agentic-marketing-actually-means/)

## Give the capability a standard worth meeting

I’m skeptical of marketing language that makes an evolving practice sound as though it appeared yesterday in a product launch.

I’m also convinced that using AI properly matters.

Our work combines human direction with research, tool use, revision, implementation checks, and documented limits. It includes agentic tasks, fixed procedures, and ordinary conversation. We use each where it helps.

If a vendor wants to call its offering agentic marketing, fine. Show the evidence, the decisions, the controls, and the results. That is how we should judge agentic marketing.

By [Eric L. Clark](https://marketingdrs.com/about-us/#eric-l-clark)

Published: 2026-11-03