37 Proven Ways to Use AI in Marketing

08/13/26
Source: SEO Blog by Ahrefs by Ryan Law. Read the original article

TL;DR Summary of 37 Proven Ways to Use AI in Marketing

Generative AI tools like ChatGPT and Letaido have transformed marketing by automating tedious tasks across SEO, content creation, outreach, and international marketing. These 37 practical workflows come directly from marketers’ real-world experience, demonstrating how AI augments human expertise rather than replaces it. From keyword research and internal linking to social media management and multilingual content localization, AI accelerates processes, improves accuracy, and enhances creativity without sacrificing quality. Ultimately, successful AI adoption depends on skilled marketers guiding the technology to achieve better, faster, and more impactful results.

Optimixed’s Overview: How Marketers Can Harness AI to Revolutionize Their Strategy

Introduction to AI-Driven Marketing Automation

In the last year, generative AI tools have advanced to automate complex and repetitive marketing tasks traditionally requiring expert knowledge. These tools enable marketers to streamline workflows from SEO optimization to international campaign management, empowering teams to focus on strategy and creativity. However, AI is not a silver bullet; it amplifies the value of human judgment and marketing expertise.

Key AI Applications in Marketing

  • SEO Enhancement: AI assists with keyword research, technical audits, internal linking suggestions, content gap analysis, and competitive page evaluation by simulating Google’s quality raters and search intent.
  • Content Creation and Optimization: AI helps generate FAQs to boost traffic, produces drafts with original voice and tone, updates stale articles efficiently, and extracts relevant expert quotes from large datasets.
  • Social Media and Outreach: AI identifies brand mentions and relevant discussions, drafts personalized responses, and automates outreach research while leaving final communication decisions to humans.
  • Paid Advertising and Launch Management: AI analyzes competitor keywords to create targeted ads, generates consistent launch materials (landing pages, emails, videos), and detects inconsistencies across marketing assets.
  • International Marketing: AI manages translation pipelines with region-specific localization, adapts visuals for different languages, and provides live interpretation subtitles for events.

Benefits and Best Practices

AI tools drastically reduce manual effort, minimize errors, and speed up time-consuming tasks like data analysis, content updates, and reporting. However, their success relies on marketing professionals who understand workflows and can critically evaluate AI outputs. The most effective approach breaks projects into smaller AI-powered steps with human oversight at each stage, ensuring quality and relevance.

Conclusion: AI as a Marketing Multiplier

Rather than replacing marketers, AI acts as a powerful multiplier of skills and creativity, enabling higher quality work delivered faster. Marketers who combine their expertise with AI’s capacity for automation and insight will gain a competitive edge. Staying skeptical and maintaining control over AI outputs ensures these tools serve as valuable assistants that enhance marketing strategy and execution.