AI Strategy Benchmarking Tool: How Does Your Team Stack Up?

When it comes to AI in marketing, the needle is moving fast. In just one year, AI adoption jumped from 63% to 91% across marketing organizations of all sizes.

However, adoption is only the first step. To realize full ROI from AI investments, teams need to operationalize and scale AI across their workflows. For many, that is proving challenging. And despite higher adoption, fewer teams were able to fully measure AI ROI in 2026 than in 2025.

Closing this gap starts with knowing your baseline: Where does your organization stand on AI maturity compared to its peers? 

The benchmarking tool below, based on data from this year’s State of AI in Marketing Report, gives a detailed look at how your AI strategy, challenges, use cases, and future plans compare.

What will the benchmarking tool tell me?

The benchmarking tool asks a series of questions focused on key areas related to AI ROI potential and marketing AI maturity, including:

• Role, industry, and revenue: Look at data across the entire sample or filter by these demographics to compare directly to your closest peers.
• Barriers to scale: See challenges preventing you from scaling AI successfully in your organization.
• Current and planned use cases: Clarify how you use AI right now and how you want to use it in the future (and compare your priorities to other orgs).
• Self-perceived AI maturity and ability to measure ROI: See where you stand on AI maturity and measuring your own AI ROI vs. others in the industry.

At the end of the survey, charts and graphs will highlight your responses against the entire dataset so you can see how your answers compare to those surveyed in our report.

How do I get started?

It’s easy! Enter your role, industry, and company’s revenue size in order to get an accurate comparison to your peers. Then, answer five questions about your AI strategy. It only takes a few minutes to complete.

What do I do with the insights provided?

The goal of our benchmarking survey is to help you understand how your current AI strategy and practices compare to others in the industry and give you direction for what to do next. Once you’ve completed the survey, take time to review the data and ask:

• Are our use cases and challenges similar to those of other organizations, or meaningfully different?
• How do our self-assessments of AI maturity and AI ROI compare to others?
• Do any of these insights surprise us? Are there areas others are prioritizing that we are not?
• What immediate next steps can we take to stay competitive in our AI strategy, such as prioritizing top use cases or clarifying AI-related KPIs?

In a market where AI is becoming the operating standard, objective insight into your own performance matters. Scaling and operationalizing AI can be challenging, but the payoff is clear: Those that do it successfully see double the return on their AI investments.

Get moving in that direction today. See what’s giving the most advanced teams an edge with their AI strategy.