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Artificial Intelligence lingo: 10 interesting AI keywords for marketeers
From hyper-personalized campaigns to privacy-first targeting, AI tools are reshaping how brands connect with audiences. Here are 10 essential AI concepts every marketing professional should know about. Explained simply, with real-world examples and strategic takeaways.
About the series
The “Keeping up with AI Lingo” series is designed to make artificial intelligence accessible to everyone. Each blog post explores different AI concepts, explained in clear language and tailored for diverse audiences, from curious beginners to seasoned professionals. Whether you’re looking to deepen your understanding or stay current with the latest trends, this series will help you confidently navigate the evolving world of AI.
Who is this article for?
Marketing professionals, including managers and CMOs, who want to be on top of their AI game.
1. GEO (Generative Engine Optimization)
- What it is: Optimizing content so AI tools (like ChatGPT) surface it accurately in responses.
- How it works: Marketers structure content with clear context, keywords, and metadata so generative models understand and rank it.
- Why it matters: If AI can’t interpret your content, it won’t show up in answers. Visibility shifts from search engines to AI engines.
- Example: A brand updates product pages with conversational FAQs so AI assistants recommend them in queries.
- Strategic edge: Future-proofs SEO, boosts discoverability in AI-driven experiences, and keeps your brand top-of-mind.
2. Multilingual Prompt Engineering
- What it is: Crafting AI prompts that generate accurate, culturally relevant outputs across multiple languages.
- How it works: Marketers design prompts that respect linguistic nuances, tone, and cultural context. Advanced prompts include language codes and style guidelines.
- Why it matters: Poor prompts = poor translations. Good prompts maintain brand voice and consistency across markets.
- Example: A Belgian marketeer uses multilingual prompts to create social ads in Dutch and French, ensuring idiomatic accuracy, not literal translations.
- Strategic edge: Speeds up global campaigns, improves localization, and reduces manual translation costs.
3. Personalization Engine
- What it is: AI systems that tailor content, offers, or experiences to individual users.
- How it works: Combines behavioral, demographic, and contextual data to deliver dynamic recommendations.
- Why it matters: Personalization drives engagement and conversion.
- Example: An e-commerce site shows different homepage banners based on browsing history.
- Strategic edge: Every touchpoint becomes relevant -> boosting ROI and customer loyalty.
4. Predictive Analytics
- What it is: Using historical data and AI to forecast future behaviors.
- How it works: Models analyze patterns to predict trends, churn, or purchase intent.
- Why it matters: Enables proactive decisions instead of reactive firefighting.
- Example: A CRM flags customers likely to churn so the team can intervene early.
- Strategic edge: Smarter budget allocation and campaign timing.
5. Lookalike Modeling
- What it is: Finding new audiences that resemble your best customers.
- How it works: AI identifies traits of top-performing segments and finds similar profiles.
- Why it matters: Expands reach without losing targeting precision.
- Example: Paid media campaigns target users similar to recent converters.
- Strategic edge: Scales acquisition while maintaining performance.
6. Content Scoring
- What it is: AI evaluates content for quality, relevance, and performance potential.
- How it works: Checks grammar, tone, SEO, and engagement likelihood.
- Why it matters: Reduces guesswork and improves ROI.
- Example: A blog post gets a predictive score for SEO before launch.
- Strategic edge: Helps to prioritise high-impact assets, refine messaging based on data-driven insights, and allocate resources where they’ll drive the greatest results.
7. Audience Segmentation
- What it is: Grouping users based on shared traits or behaviors using AI.
- How it works: Clustering algorithms find patterns in customer data.
- Why it matters: Enables targeted messaging and personalization.
- Example: A campaign targets “high-value, low-engagement” users with reactivation offers.
- Strategic edge: Boosts relevance and efficiency in media spend.
8. Sentiment Analysis
- What it is: Detecting emotional tone in text or speech using AI.
- How it works: NLP models classify content as positive, negative, or neutral.
- Why it matters: Understand at scale how customers feel.
- Example: A brand monitors social sentiment during a product launch.
- Strategic edge: Informs messaging, PR strategy, and crisis response.
9. Cookieless Targeting
- What it is: Privacy-compliant targeting without third-party cookies.
- How it works: AI uses contextual signals and first-party data to deliver relevant ads.
- Why it matters: Future-proofs marketing against privacy regulations like GDPR.
- Example: A Belgian e-commerce brand serves personalized recommendations based on on-site behavior, not external tracking.
- Strategic edge: Builds trust and ensures compliance in a privacy-first world.
10. AI Agents
- Definition: Autonomous digital assistants that perform marketing tasks, make decisions, and interact with other systems, often without direct human input.
- How it works: AI agents can research, create, optimize, and execute campaigns by connecting with your marketing stack. They learn from data and adapt their actions to achieve your goals.
- Why it matters: Agents automate complex workflows, scale personalization, and drive innovation. They help marketers achieve more with less effort.
- Example: Deploying an AI agent to monitor trends, generate content, and optimize ads in real time.
- Strategic Implication: Early adoption of AI agents positions your brand for faster growth, smarter campaigns, and a future-proof marketing strategy.
Pro Tip: Start small, measure impact, and scale what works. The brands that master these concepts today will own the market tomorrow.
Need support? We provide support for every stage of your AI transformation journey. Whether you’re exploring your first use case or scaling your AI marketing strategy, we are here to guide you every step of the way.
Schedule a no-obligation 30 minute call here with one of our experts to see how we can help!
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Frann Larue
Consultant
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