Semrush Outlines AI Uses for Product Marketing

Semrush has outlined seven ways to use AI in product marketing, including work on messaging, customer interviews and battlecards. The article presents the topic through practical use cases rather than a single approach to applying AI across the discipline.

For messaging, a marketer considering AI could begin by defining the product, the intended audience and the communication task. The resulting material would still need an editorial review: a message is only useful if it accurately describes the product and is appropriate for the audience it is meant to reach. Marketers can also compare proposed wording with their existing product information before using it.

Customer interviews offer another area to consider. Teams could decide which part of their interview work they want to examine before introducing AI, then review any output against the material they have collected. That distinction matters because an interview is a source of customer input, while an AI-generated interpretation of it is a separate piece of work that needs checking.

Battlecards are also among the uses identified in the Semrush summary. For marketers working with these materials, a practical starting point would be to identify what information the card should contain and who will use it. Any proposed content should be checked against information the team can substantiate, especially where it describes a product or makes a comparison.

The available source summary identifies these three areas but does not name the other four use cases or describe the steps Semrush recommends for them. Marketers interested in the complete list and the article’s instructions should consult the original post rather than assume that these examples cover its full scope.

What this means for marketers

Start with a defined task, whether it involves a message, an interview or a battlecard. Establish what information is available and what the finished work needs to accomplish, then review any AI-assisted output before putting it to use. This keeps the focus on the marketing task rather than treating AI as a substitute for a team’s own judgment.