for generative AI in content marketing? It can provide the main takeaways from an event or interview transcript. When writers upload 25-page documents into generative AI tools, there are audible exhales in home offices everywhere, as, seconds later, a concise summary of the transcript, complete with takeaways and usable quotes, appears on-screen. We conduct and review countless interviews each year, so we predict generative AI will save us considerable time in this regard.
3. Style and grammar checks. Generative AI tools can also tweak copy to make it grammatically correct and more conversational. Our editors don’t always agree with AI’s suggestions, though, so we do have to accept or reject them as part of the process.
4. Atomization. When you place a final draft into a generative AI tool, it can pump out starter social copy, TikTok scripts, and even meme recommendations, in seconds. We foresee using AI more this year to help us atomize our content across multiple channels. Again, for us, it’s absolutely critical to have a human edit this copy so it aligns with our voice and tone, and is authentic and original.
5. SEO optimization support. AI can scour the internet for underused (and potentially popular) SEO keywords. In this sense, it’s a great SEO optimization assistant, and we aim to take advantage of this capability more in the coming year.
So, that’s how we’re using AI in content marketing. We’re america phone number list intrigued by generative AI’s abilities for all of the above — as always, with a human in charge.
How we’ve created oversight around generative AI in content marketing
Trust has been a core value at Salesforce since the company was founded in 1999. But trust doesn’t have to be in your mission statement for you to understand its importance as generative AI usage (and misusage) snowballs.