Hiring a fractional CMO? Assess their AI fluency first

CMO AI Fluency

Test a fractional CMO’s AI fluency before you hire

You are about to hand a fractional CMO your marketing budget and your growth plan. Before you sign their contract, you need an answer to one question: how deep does their AI skill really go?

The 2026 data shows why this matters for small businesses. SmarterX, an AI transformation company, surveyed more than 2,100 professionals for its 2026 State of AI for Business Report. The research measured how fully companies have built AI into daily operations. Among companies under $1 million in revenue, 32% reached the highest level compared with of 30% of billion-dollar enterprises. The gap is small, but the message is important: company size does not determine AI maturity.

A skilled fractional CMO can help a small business turn AI into better decisions, stronger execution, measurable growth.

Here is what to ask when assessing a fractional CMO’s AI fluency.

The four levels of AI fluency

Zapier CEO Wade Foster grades AI skill on four levels, using the scale to make hiring decisions and evaluate staff. You can use the same process on your first call with a fractional CMO candidate to assess if they are a skilled AI practitioner.

Level 1 AI fluency: Unacceptable

Resistant to AI and skeptical of their value

A fractional CMO at this level avoids using AI. They have opened ChatGPT a few times, but haven’t explored other AI tools to improve their output and productivity. Their daily work relies on the same manual tools and outdated tactics such as analyzing Google data and building reports by hand. When you inquire about their AI expertise, their answers about AI are vague.

Ask: “Which AI tools did you use in your work this week?” 

A level 1 fractional CMO names one AI tool and describes it in general terms without proof of results. Move on from this fractional CMO candidate.

Level 2 AI fluency: Capable

Uses the most popular AI tools with a couple of years of hands-on AI expertise. 

A capable fractional CMO uses AI tools every day for their work tasks, like creating social media copy, optimizing web pages, generating images, researching competitors, and identifying AI visibility. They complete routine marketing tasks faster, keep output aligned with the brand, and are comfortable testing new tools. The result is a steadier, more efficient marketing function. Marketing gets done better and faster, but AI has not changed how your business competes or grows.

Ask: “Which AI tool did you drop this year, and why?” and “What is one AI result you’re most proud of?”

Together, these questions determine whether the fractional CMO has demonstrated AI expertise and real proof. A capable fractional CMO can name an AI tool that stopped delivering value, explain what replaced it, and point to specific results AI helped produce. That kind of answer comes from regular, hands-on use over time.

Many CMOs are capable in their AI fluency. They use AI often, improve speed and brand consistency, and apply AI very well within the existing marketing function. Their impact usually stays within the marketing function instead of shaping broader business strategy or creating new value for customers.

Level 3 AI fluency: Adoptive

AI is embedded within their strategic and daily workflows 

An adoptive fractional CMO rebuilds marketing processes around AI. They embed AI into marketing strategy and recurring processes, connecting research, analysis, content, execution, and reporting more efficiently. Human eyes are always on anything that shapes a decision or reaches a customer.

For example, a CMO could connect HubSpot and AI so weak campaigns are spotted sooner, changes are recommended, the content plan is updated, and 1:1 plans are created for high-value prospects using data points a person may overlook. The next emails or ads are then prepared for review. AI becomes part of how marketing decisions are made and carried out, instead of being used one task at a time.

Ask: “Walk me through one marketing process you rebuilt with AI and what happened.”

A strong answer from the fractional CMO explains how the process ran before, what changed, which tools connect the steps, where human review occurs, and what business result followed. That could mean faster sales follow-up, higher conversion rates, more marketing time spent on strategy instead of manual tasks, or more revenue from high-value prospects. It shows the fractional CMO has built repeatable AI processes that improves business performance.

For most small businesses, this is the level of AI practitioner you want in a fractional CMO.

Level 4 AI fluency: Transformative

Builds what didn’t exist before. Turns AI into breakthrough strategy that changes organizational thinking and scales next-level growth

A transformative fractional CMO uses AI to create a new source of revenue or customer value. That could be a new service, sales channel, personalized customer experience, or predictive system that changes where the company invests. They can explain what they built, why it mattered, and the measurable business result.

Ask: “What have you built with AI that created a new source of revenue or customer value?”

A fractional CMO with transformative AI expertise answers the question like a case study: the business problem, what became possible, what changed for customers or the company, and the revenue, margin, retention, or pipeline result. They can name the number.

Level 4 expertise may command a much higher fee than your business needs. For many small businesses, choosing a fractional CMO with adoptive Level 3 AI fluency may be the right fit.

What AI fluency level should your fractional CMO have?

For most small businesses, Adoptive level 3 is the right hiring standard. Transformative level 4 CMO expertise is valuable, but it may cost more than small businesses need from a fractional CMO. 

Your fractional CMO should be more skilled in AI than the people they will guide, with deep hands-on experience setting AI priorities across the company and building into marketing strategy and execution. 

This AI fluency scale can also work across your entire org chart. When my clients hire employees, I include the AI fluency level into the job description and performance reviews. Employees know what the role requires, and managers have a shared standards for coaching and evaluation. 

SmarterX, an AI research company found that 74% of professionals call AI critical to their own success this year. Every step your team takes to improve its AI skills supports thier careers and your growth at the same time.

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