How to Choose an AI Marketing Consultant (When Everyone Claims to Be One)

Last Updated on September 14, 2026 by Ewen Finser

As a VP or director of marketing, your C-suite may have told you to “do more with AI” or maybe there’s a company-wide initiative to start integrating AI into workflows.  

But where do you start?

You’ve got an inbox full of identical pitches from very different providers.  Every consultant, tool, or directory you search claims to be “AI-powered,” “ROI-focused,” and “strategy-first,” but it all feels like jargon that got tacked on because that’s what’s closing deals today. 

So how do you go about hiring an AI marketing consultant who truly knows their stuff, and not someone who just updated their LinkedIn summary a few months ago? 

Most marketers use AI, but only a fraction are truly fluent

As a marketing consultant myself, it quickly became clear that avoiding AI on principle (or fear?) was not going to be the play. A survey done by Right Side Up in June of 2026 of 580 senior marketers showed that almost everyone surveyed was using AI, but that there is a “Grand Canyon-sized gap” between having access to AI tools in their job and having true AI fluency. Only 12 percent of those surveyed could truly be called “AI natives” in their proficiency. 

That gap is the point: a person, tool, or group saying “we use AI” is practically meaningless, and therefore not a useful filter when you’re looking to hire an AI marketing consultant. You need a real yardstick by which to measure someone’s ability. 

What does an AI marketing consultant do? 

The question you need to be asking before you try to hire an AI marketing consultant is what you want them to help your company achieve.  Generally speaking, an AI marketing consultant helps assess where artificial intelligence tools can help improve marketing operations, and then builds tools or workflows needed to implement those improvements. 

Those are two distinct phases: assessing AI opportunities and building the solutions. It’s relatively easy for someone to come in and say, “AI could help you with that.” It’s another thing entirely to build the tool that’s actually helpful. 

It also depends on how much you want to hand over to AI. It’s one thing to ask an LLM chat to help come up with campaign ideas, do some competitive research, or draft some copy. It’s a completely different job to build AI-first systems that execute workflows, report on metrics, or run creative pipelines from beginning to end. You and your company’s comfort level with how much autonomy to give AI is also going to come to bear on who you decide to hire, because the more integrated and autonomous the system, the more risk there is that it may do something a human wouldn’t. 

The AI fluency ladder you can apply to anyone

Right Side Up proposes a useful fluency ladder in their survey with four main rungs:

• AI User: someone who is comfortable using an AI chat regularly to help with daily tasks like research, generating copy, or doing analysis. 
• AI Integrator: someone who is comfortable connecting AI with existing tools for things like CRM enhancement, dashboard summaries, etc. 
• AI Builder: someone who can create repeatable AI tools or systems including skills, custom GPTs, automations, etc. 
• AI Native: someone who builds multi-step, human-in-the-loop systems like agents, reporting engines, etc. 

Using this as a yardstick when interviewing an individual offers a helpful distinction, especially if your company is looking to build an ecosystem rather than a one-off answer or tool. 

How to tell a real AI marketing consultant from a rebrand

When reviewing proposals and interviewing applicants, the real question isn’t “Should we be using AI?” because all of them will say yes.  The real questions are more nuanced, and the answers you get can help you determine whether someone is just an AI User or an AI Native. 

Some questions you might want to ask include: 

• Where do you find AI brings the most value to your clients? 
  If they answer with something simple like faster copy generation or accessible data insights, those are the tip of the iceberg. But if they talk about workflow automations, knowledge systems, or custom tools and agents, that insinuates a deeper understanding and ability to build. 
• Should we buy an existing solution or create a custom tool?
  The answer to this can be read two ways. If they suggest an existing solution, why? Is it because it’s truly the best solution or because they don’t have the experience to build a custom solution?  If they suggest the custom tool, can they explain why that’s the right choice for your situation, or are they just showing off that they can build one?
• How do you help us prioritize based on impact and feasibility?
  I would want to know if they have a process or rubric by which they prioritize implementation. Which project comes first: the easiest? The flashiest? The one with the highest ROI? I’d be suspicious of anyone who didn’t have a clear answer. 
• How will this fit into our existing stack and processes?
  When vibe coding first came out, everyone thought they could build a better mousetrap… er, SaaS solution for something in their tech stack. Only after they built it did they realize how much goes into creating and maintaining a functioning tool. The ability to build something isn’t the actual goal here; the ability to create a workflow that actually works is. 
• How will you train our team on these new workflows, and what happens when/if something goes wrong?
  A consultant with a clear plan for handing off the workflow to your team is a pro in my book. And I would want to be very clear about what happens and how you get support when the initial engagement is over, and your AI tool is suddenly doing something unexpected. 

Finally, and this may seem obvious, but it’s worth stating: find out what their marketing experience is or was before they became an AI marketing consultant. I would prioritize working with someone with a solid “analog” marketing background who has since moved into working with AI than the opposite (an AI aficionado who has decided to work in marketing). 

Where to look for an AI marketing consultant

There’s no one right answer on where to source your perfect-fit consultant, but there are several options on where to look:

Enterprise and fractional-executive firms

These are best for the company that needs boardroom-level strategy, governance, and organizational readiness. The drawback is that these high-level executives are much more strategy- and advisory-focused, so they may not be the implementer and may require additional team members to help build solutions. Chief Outsiders is an example of this type of firm. 

AI-Native marketing agencies

These agencies are built specifically to deliver AI-native marketing consulting services and are best for teams who want ongoing multi-channel execution delivered with AI systems. But when you go with one of these agencies, you’re plugging into their existing squad model, which means there’s less flexibility about how they fit into your team.  Examples of this tier include NoGood, Single Grain, and Monks. 

Talent partners 

Talent partners are firms built to connect teams with vetted talent more quickly than a traditional hiring process. These are best for organizations that need a vetted individual with marketing depth and AI implementation experience quickly. Quality of the consultant obviously rides on which individual you’re matched with. Talent partners like  Right Side Up pre-vet applicants in their talent network, which matters here more than with other options. MarketerHire is another example of this tier. 

AI development shops

These are more technical support than strategy-focused and are best for teams who already have a defined technical spec and in-house marketing strategy and just need it built. The drawback here is the opposite of the enterprise executive: their technical depth far outpaces their strategic ability. Advisor Labs is an example of an AI development shop. 

How to choose the right AI marketing consultant for your team

There’s no one-size-fits-all solution, but hopefully I’ve provided you with a rubric you can use to guide your search for a consultant to help you implement AI in your marketing. 

1. Think about what you want an AI marketing consultant to help your company achieve before you start looking. That will tell you where on the AI fluency ladder your candidate needs to fall.
2. Decide which tier of support makes the most sense for your organization, from an enterprise-level fractional executive to an individual consultant or AI development shop. 
3. Use the questions above to help you determine whether your candidate is a true AI native or someone who just decided to add AI to their title or LinkedIn description. 

With these guardrails in place, you should be able to find a consultant who can help bring your marketing team up to speed and implement AI in a way that makes sense for your company and your goals.