AI Revolutionizes Marketing: 37 Real-World Workflows for Unprecedented Efficiency

Generative AI tools like ChatGPT, Claude, and Letaido have seen significant advancements over the past year, transforming previously unautomatable marketing tasks into achievable processes without requiring advanced technical expertise. A collection of 37 straightforward, practical AI applications for marketers, organized by discipline, has been compiled, with each method validated by marketers who have successfully implemented them. These workflows are all buildable with Letaido, an AI marketing agent from Ahrefs, and are available for a free one-month trial to Ahrefs customers.

SEO

AI is proving invaluable in streamlining tedious and complex SEO tasks. While AI cannot replace fundamental SEO knowledge, it significantly enhances efficiency.

1. Quality Rater Page Grading: Dan Hinckley of Go Fish Digital developed an AI agent that evaluates web pages against Google’s quality rater guidelines. By inputting a keyword and a page URL, the AI analyzes the page, its About Us and footer sections, and compares it against the 168-page rater handbook to identify strengths and weaknesses. It can also be used to analyze competitor pages.

2. Accelerated Keyword Research: Sam, VP Marketing at Ahrefs, created an AI keyword research tool. By providing a niche, the AI generates seed keywords, retrieves search volume from Keywords Explorer, and analyzes SERPs for intent and difficulty. It identifies page types within the top 10 results, categorizes keywords as "Go," "Maybe," or "Skip," and provides topic clusters, competitor gaps, and hub-and-spoke maps.

3. Developer-Actionable Site Audits: Ahrefs connects its Site Audit tool to GitHub using generative AI. The AI ranks technical issues by severity and opens pull requests for high-severity problems like indexability errors or broken pages. Each pull request includes a checklist and audit data, streamlining the developer’s workflow.

4. AI-Generated FAQs for Traffic Boost: Steven Macdonald observed a 32% average traffic increase on 21 existing blog posts after using ChatGPT to generate and append FAQ sections. This resulted in approximately 16,000 additional visits and 3,500 keyword ranking improvements.

   

5. Internal Linking Engine in a Week: An AI tool was developed to suggest internal links for blog articles. The AI converts each article into numerical representations (vector embeddings) and identifies the 20 most relevant pages based on subject matter. This process helps overcome the challenge of managing internal linking for large content libraries.

6. Automated Internal Link Insertion: John Iwuozor created a Python script that identifies relevant internal links and automatically inserts them into web pages. The script finds the closest subject-matter pages and suggests appropriate anchor text, automating a time-consuming part of internal linking.

7. Prioritized SEO Plans from Search Console Data: Rudiger Dalchow developed a tool that analyzes Search Console exports to create actionable content plans. It groups pages by topic, identifies user intent, highlights competing pages, and generates briefs for writers.

AI Search Optimization

Ensuring brand visibility in AI-generated answers is becoming crucial. AI can assist in understanding how large language models (LLMs) interpret content.

8. LLM Page Perception Analysis: Aimee Jurenka built a tool that assesses how LLMs perceive web pages. It analyzes raw HTML and rendered screenshots to provide feedback on content clarity, citation value, and JavaScript-dependent content.

9. Mapping Fan-Out Queries: Chris Long created a script that identifies narrower questions an AI assistant might break a user’s query into. It scores these queries against existing web pages to pinpoint content gaps.

10. Rewriting Pages for AI Queries: Wil Reynolds uses Bing’s Webmaster Tools to identify questions that lead to his pages in AI answers. He then rewrites his content to directly address these specific queries.

    

11. Page Template Design Based on AI Citations: Adina Timar redesigned her listicle and comparison templates based on data from AI citations across various platforms. She analyzed which page sections are most frequently quoted by AI to inform her template structure.

12. Content Prioritization from AI Citations: Ross Hudgens’ team identifies articles to write for AI visibility by tracking prompts that lead to sales. They analyze which pages are most frequently cited by AI and prioritize content that is both AI-cited and highly searched on Google.

Content Marketing

While AI-generated blog posts can be subpar, AI excels at individual steps within a comprehensive content marketing process.

13. Publishable Drafts in Two Hours: A detailed process breaks down content creation into manageable steps, reducing the time to produce a publishable draft from days to approximately two hours. This involves topic selection, briefing, outlining, editing, drafting, product integration, line editing, internal linking, metadata, and formatting.

14. Web Page Development in Weeks: Kelsey Libert learned to build landing pages using Cursor, a code editor with integrated AI. By describing desired features in plain language, she created 30 landing pages for her company’s AI agent products, demonstrating the potential for marketers to develop web pages independently.

15. Data Study Execution Without Engineering: Mateusz from Ahrefs’ content team used AI to write code for pulling data from APIs, stitching datasets, running correlations, and generating charts for a study on the relationship between organic traffic and stock prices. While a data scientist refined the analysis, AI handled the initial data acquisition and processing.

16. Stripping AI Bloat with "Absolute Mode": Myriam Jessier employs a system prompt called "Absolute Mode" to eliminate filler, emoji, hype, and unnecessary conversational elements from ChatGPT responses, focusing the output on direct answers.

    

17. Presentation Deck Generation from Spoken Ideas: Wil Reynolds records himself explaining a concept, transcribes it, and uses an LLM to derive a story arc, which is then used by NotebookLM and Gamma to generate presentation deck variations.

18. Managing a Large Content Refresh Backlog: Ahrefs’ Update Pipeline tool automates the process of refreshing old blog posts. It identifies stale statistics, outdated product descriptions, and content gaps compared to current rankings, presenting changes for review and approval.

19. Discovering Unique Statistics: An AI tool searches PDFs, Word documents, and PowerPoint decks for statistics, providing citations and file origins. This helps content creators find unique data points not readily available on web pages.

20. Querying Expert Quotes: Mateusz Makosiewicz uses NotebookLM to query a collection of expert quotes saved as PDFs. This allows for efficient extraction of relevant insights from a large volume of responses.

    

21. Content Repurposing from Webinars: An AI workflow transforms webinar recordings into blog outlines, clip guides, social media briefs, and databases of customer pain points and objections extracted from sales calls.

Marketing Analytics

Reporting, often a time-consuming task, is highly automatable with AI.

22. Automated Monthly Reporting: Letaido generates Ahrefs’ monthly blog performance report, including KPI tiles, trend charts, and anomaly callouts, automating a process that previously took most of a day. It also drafts analysis bullets for commentary.

    

23. Content On-Topic Verification: A semantic audit of the Ahrefs blog used AI to convert articles into vector embeddings, creating a site-wide representation. This analysis identified articles that drifted from core topics, revealing that core pages receive twice the organic traffic.

24. Integrated Data Audits: Chris Long documented a content audit assistant that integrates data from website crawls, analytics, and Search Console. The AI analyzes this combined data to identify pages losing traffic, misaligned with search intent, or no longer fitting the site’s overall theme.

Social Media and Community

AI can help manage the volume of social mentions and content creation.

25. Identifying Relevant Reddit Conversations: The lemlist team used AI to sift through Reddit to find relevant discussions for brand participation, leading to a 22% increase in traffic from the platform with a 20% higher sign-up rate.

26. Extracting Customer Language: Britney Muller’s approach uses a platform’s API to collect discussions mentioning a brand or subject. An AI model then analyzes these conversations to identify recurring complaints, questions, and the exact language customers use, providing valuable insights for marketing copy.

27. Personalized Social Drafts: Letaido generates five distinct social media post drafts in the user’s voice for each published article. These drafts explore different angles, such as leading with a surprising fact, a story, a question, takeaways, or a contrarian argument.

PR and Outreach

AI assists in monitoring opportunities and drafting outreach messages, but human judgment remains critical.

28. PR Opportunity Monitoring: Mark Williams-Cook developed a Python script that uses a local LLM to scan thousands of daily news stories from RSS feeds for PR opportunities relevant to client interest profiles, delivering qualified leads to Slack.

29. Five-Minute Follow-Up Emails: Andy Chadwick uses a ChatGPT workflow trained on his tone and product details to draft follow-up emails from sales call transcripts in five minutes, reporting a 90% close rate on high-ticket services.

30. Personalized Cold Outreach Campaigns: Sam Oh built an AI-driven outreach system that acts as a team of agents. This system researches prospects, analyzes traffic growth, and drafts personalized emails, resulting in a higher conversion rate for booked meetings.

    

31. Automated Press Release Generation: A Press Release Generator tool creates formatted press releases from blog post URLs or product feature notes, streamlining the promotion of original research and new features.

Product Marketing

AI can generate entire launch packages and reverse-engineer competitor campaigns.

32. Complete Launch Package Generation: Andrei, head of product marketing at Ahrefs, created a GTM Generator that produces a tidied brief, landing page, video script, promotional email, flyer, and a final consistency check from a single product brief.

    

33. Competitor Ad Copy Reverse-Engineering: Ahrefs’ Paid Ads Campaign Builder analyzes a competitor’s paid keywords and landing pages to generate targeted Google Search ad copy, identifying bidding gaps.

34. Full Webinar Setup Automation: Constance, responsible for Ahrefs’ webinars, developed an app that automates webinar setup from title and date input. It creates tasks in Linear for event setup, promotional copy, slide creation, and post-webinar reporting.

International Marketing

AI aids in translating content and visuals for global audiences, but localization requires careful attention.

35. Link-Preserving Blog Post Translation: A translation pipeline handles seven languages, ensuring internal links point to the correct localized versions of articles and performing keyword research for each target country.

36. Localized Chart and Diagram Translation: A visual translator converts charts and diagrams into target languages and regions, adjusting prices, web addresses, and names accordingly.

37. Live Subtitle Generation: A Live Interpreter tool runs on a laptop, generating real-time English and Japanese subtitles from microphone feeds at conferences, offering a cost-effective alternative to human interpreters.

Final Thoughts

While AI can automate many marketing tasks, it is a tool that amplifies human expertise. Marketers with strong judgment, taste, and workflow knowledge can leverage AI to achieve superior results. Skepticism is advised, as AI is not a problem-solving magic box but a powerful enhancer for skilled professionals.