“To address this, we implemented a hybrid approach — AI generates the initial draft, and our content team refines it to align with our brand’s tone. This strategy has cut content creation time by about 30% while preserving authenticity,” says Popoff.
5 Tips for Using AI-Generated Content
1. Be transparent.
“While it may seem counterintuitive, being transparent with your audience about how you use AI is paramount for building trust, especially as we move into an AI-integrated world,” Kimberly Huang, content marketing manager at Litmus, told me.
For example, in Litmus’ recent newsletter, the team used generative AI to help create content ideas. They ended the email by sharing, “This email was written using Jasper.”
Even adding a simple line of copy that lets your audience know you leverage AI can go a long way in fostering trust.
2. Lean into thought leadership.
It‘s no secret that marketers operate in high-pressure, deadline-driven environments. While it’s tempting to rely on AI for a quick content fix, this approach does little to foster genuine connections around your brand.
This is why Lindsay Tjepkema, CEO and co-founder of Casted, leans into thought leadership.
She told me, “Generative AI may offer a short-term solution, but it‘s not a sustainable means to champion your brand’s story or build genuine customer relationships.”
“Instead, marketers should build their strategies around human-centric, authentic thought leadership content like podcasts, webinars, and video content. Then, amplify that content across all other marketing channels to extend their reach,” she continues.
“Tools like ChatGPT are creating france telegram data opportunities for automating and scaling processes that used to take a lot of time to complete,” Rory Hope, head of content SEO at HubSpot, told me.
“These automations can analyze content and improve insights or produce content with the intention of ranking highly on a search engine,” he adds.
For instance, marketers can leverage tools like HubSpot’s Campaign Assistant to generate outlines and first drafts, enabling them to streamline parts of the writing process.
Another area is keyword research. Consider this: Meta doubled its monthly search traffic by using an AI-powered SEO tool to target non-branded keywords. It also conducted website audits — powered by AI — to remedy broken links, missing metadata, and slow page speeds.
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That said, Hope cautions that AI still requires human oversight. He notes, “We should be experimenting with generative AI, but human SEOs should stay in the loop to review the quality of newly automated processes.”
4. Use it for “targeted content.”
I spoke to Peter O’Callaghan, head of tips on how to create a portfolio on strikingly? marketing at ScrapingBee, and he shared something that caught me off guard at first: “AI is first made for data analysis, not content creation.”
That’s why ScrapingBee primarily uses AI to monitor shifts in search trends, which allows them to quickly pivot their SEO strategy and focus on the most relevant topics. “Instead of just pumping out more content, they’re using AI to focus on the “targeted content” that is gaining traction,” Peter says.
For example, O’Callaghan team explored integrating AI into competitor analysis.
“By scraping competitor blogs and phone number thailand running AI-driven content audits, we’ve identified gaps in their strategies. This allowed us to create highly specific, technical articles that directly answer developer pain points,” he shares.