Practical ways to use AI in your marketing.
Real examples of how businesses can use AI for research, content, automation, personalisation and more.
Sarah Jenkins
VP of AI & Digital Transformation
Key Strategic Takeaways
- •Automate competitor tracking with intelligent summarization.
- •Scale custom ABM collateral using prospect data synthesis.
- •Build structured pipelines to multiply long-form content assets.
Theoretical discussions about AI are interesting, but practical implementation is what drives revenue. Here is a field-tested breakdown of high-ROI artificial intelligence workflows that marketing teams can deploy today without massive engineering budgets.
1. Automated Competitive Intelligence & Price Monitoring
Deploying specialized scrapers coupled with LLM summarization to monitor competitor messaging changes, pricing adjustments, and new feature launches allows your leadership team to react proactively.
“Automated intelligence turns market reaction time from months into hours.”
2. Hyper-Personalized Account-Based Marketing (ABM)
Feeding prospect annual reports, executive podcast transcripts, and recent press releases into custom prompts enables sales and marketing teams to craft genuinely tailored outreach decks that resonate immediately.
3. Content Repurposing at Scale
Convert a single 45-minute webinar or executive podcast into 5 thought leadership articles, 12 LinkedIn carousels, 20 social snippets, and an email newsletter series with consistent tone and formatting.
The Path Forward
Start small with high-friction manual tasks. Prove the time savings and commercial lift, then scale into full autonomous workflows across your marketing organization.
Sarah Jenkins
VP of AI & Digital Transformation
Specializing in digital growth frameworks, modern search systems, and applied AI strategies for fast-growing businesses.
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