Generative AI tools every marketing team should use

By rsukhraj@hubspot.com (Ramona Sukhraj)

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When I first started at HubSpot, I needed a new headshot fast. So, I turned to generative AI tools — and no one had any idea, at least not initially. Love ‘em or hate ‘em, generative AI tools are impressive.

From text and data analysis to uncanny photos and celebrity videos, AI’s ability to imitate human voices and forms has improved dramatically in the past year. While they raise a lot of ethical questions, they can also help increase productivity and amplify marketing results when used strategically.

Manufacturer Cold Jet, for instance, cut lead response time by 66% using HubSpot’s Smart CRM and Breeze. But what generative AI tools should your team use? In this article, we’ll discuss:

Table of Contents

TL;DR

Generative AI tools for marketing are software solutions that create content (i.e. videos, images, text, graphs), campaigns, and insights using artificial intelligence. Marketers use these tools to speed up content creation, personalize messaging, and improve campaign results across email, ads, social, SEO, and analytics.

To choose the right tools, look for options that integrate with your CRM, support brand voice controls, and offer strong data privacy. Start with a shortlist, run pilot tests, and roll out gradually.

Want to see how AI can work for your team? Get a demo or start free with HubSpot’s AI-powered marketing tools.

What are generative AI tools for marketing?

Generative AI tools are software solutions that use large-language models (LLMs) or multimodal AI to create new content based on prompts, inputs, or data. Finished products can include text, imagery, video, audio, reports, code, or even ideas.

But how can marketers make use of this?

Generative AI is useful across numerous marketing channels:

  • Content creation (i.e, blog posts, social media captions, email copy, landing pages, images, videos, and video scripts)
  • Campaign planning (i.e, audience research, competitive analysis, messaging frameworks, and creative briefs)
  • Email marketing (i.e, subject lines, body copy, A/B test variants, and personalization at scale)
  • Paid advertising (i.e., ad headlines, descriptions, image generation, and targeting recommendations)
  • Social media (i.e., post ideation, caption writing, hashtag research, and community responses)
  • SEO optimization (i.e, keyword research, content briefs, meta descriptions, and internal linking suggestions)
  • Analytics and reporting (i.e, performance summaries, insight synthesis, and strategic recommendations)

Thanks to generative AI tools, marketing teams report reducing content creation time by three hours per piece without sacrificing quality standards. (The most important thing to me.)

The shift from hours to minutes …read more

Source:: HubSpot Blog

      

Aaron
Author: Aaron

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