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Smarter Content Faster Work How Marketers Are Using AI to Save Time and Write Better

Practical tools and techniques for using artificial intelligence in content creation without losing the human touch

marketing productivity

How are marketers using AI to generate content ideas?


Artificial intelligence is no longer a futuristic tool; it’s a practical necessity in modern marketing. Content marketers, copywriters, and growth teams are using AI to speed up ideation, drafting, and personalization—without compromising quality.


From blog posts to email campaigns, artificial intelligence tools are helping teams streamline their workflows, test variations faster, and scale their strategies.

AI-driven tools like ChatGPT, Jasper, and Copy.ai are being integrated into daily operations for brainstorming headlines, generating outlines, and even editing tone and grammar.


According to HubSpot’s 2024 State of Marketing Report, 64% of marketers already use AI tools for content creation, and more than half said it helps them publish faster and with more confidence.

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What AI tools help automate marketing content?


The AI toolbox is wide and growing. Here are just a few of the most popular tools for marketing teams today:


  • Jasper for blog content, ads, and SEO-focused writing

  • GrammarlyGO for real-time editing and AI suggestions

  • Surfer SEO for optimizing content against competitors

  • Writer.com for brand-aligned, team-based content writing

  • LatelyAI for turning long-form content into social media snippets


Most of these platforms integrate with CRMs or CMS tools like WordPress and HubSpot, allowing teams to scale production without switching systems.


A Gartner study projects that by 2026, 80% of creative roles in marketing will use some form of generative AI.


How can AI improve content personalization?


Beyond just speed, AI allows marketers to better match content to audience segments using real-time data. For instance, AI can tailor email copy to different buyer personas, adjust landing page messaging based on behavior, and even recommend blog articles based on browsing history.


Tools like Persado use natural language generation to craft high-performing subject lines and CTAs tailored to emotional triggers. This means personalization isn't just about adding a first name—it’s about hitting the right tone, structure, and value proposition at the exact moment someone engages.


According to McKinsey & Company, personalized content can lift revenues by 5% to 15% and reduce acquisition costs by 50%.

What are the limitations of AI in content development?


AI isn't perfect. Tools can hallucinate, misinterpret nuance, or create repetitive structures. AI still requires human oversight to maintain authenticity, fact-checking, and emotional relevance—especially in industries like healthcare, finance, or education where accuracy is non-negotiable.


A good rule of thumb: Let AI do the first draft, then bring in the human to add insight, voice, and storytelling. As Ann Handley puts it, “The best content has empathy at its core. AI doesn’t feel anything. You do.”


Also, beware of over-reliance: Google’s Search Central has clarified that while AI-generated content isn’t inherently penalized, it must demonstrate E-E-A-T (experience, expertise, authoritativeness, and trustworthiness).



What is the future of AI in content marketing?


As generative AI models become more integrated into marketing stacks, we’ll likely see greater hybrid collaboration—think AI plus editor rather than AI instead of editor.


Marketing teams that focus on strategic integration rather than full automation will be better positioned to use AI to enhance creativity, not replace it.

Platforms like HubSpot’s Content Assistant and Notion AI already point in this direction: AI as a partner, not a substitute.


Integrating AI into your marketing content strategy doesn’t require a total system overhaul. It simply requires a willingness to experiment and a commitment to refining results.


By adopting AI tools thoughtfully, content teams can save time, improve quality, and meet increasing demands for scale and personalization—all without sacrificing the unique value of the human voice.


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