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Thursday, January 8, 2026

Marketing Glossary

AI-Powered Automation for Marketers in 2026, January 21 [Webinar]

AI-powered automation streamlines repetitive marketing tasks, improves operational efficiency, and reduces human error. It allows businesses to scale faster, respond in real time, and focus more on strategy and creativity.

Digital Marketing Institute is hosting a webinar, ‘AI-Powered Automation for Marketers in 2026’ on Wednesday, January 21, 2026, at 1.00 pm ET.

The DMI team says, “Using Artificial Intelligence (AI) to help with your marketing tasks is all well and good, but how can you go a step further and automate those functions?

In this two-part live masterclass, Will Francis shows you how to connect, automate, and scale your marketing with AI. You’ll learn how to identify what to automate, build workflows that run themselves, and free up time for what you do best: creative and strategy.

Each session lasts 90 minutes.

Session 1: Strategy & Foundations

● Why AI automation matters for marketers today
● The “agents vs automation” decision framework
● Core tools overview: Zapier, Make.com, and Gumloop
● Live walkthrough: creating your first basic automation
● Interactive Custom GPT quiz to identify your first tasks to automate

You’ll leave with: a Custom GPT and worksheet to identify your first automations.

Session 2: Hands-On Workflows & Demos
● Content planning (SEO & social)
● Newsletter automation
● CRM data enrichment
● Automated reporting
● Future trends in AI agents & workflow orchestration
● Open Q&A with Will

You’ll leave with: ready-to-use automation templates to kick-start your workflows”.

The 2026 Forecast for Data and AI

Adweek

Answer engine optimization trends in 2026: How AEO is transforming the landscape [Guide]

HubSpot has published a new guide, ‘Answer engine optimization trends in 2026: How AEO is transforming the landscape’.

Zoe Ashbridge says, “Answer engine optimization matters because search behavior is fundamentally changing: AI Overviews reduce organic clicks but increase the value of citations, and conversational assistants are becoming preferred search options for consumers. HubSpot’s Consumer Trends Report reveals that the most significant emotions consumers feel while shopping using generative AI are positive — appreciation, satisfaction, optimism, and joy.

The brands that will win in the future of search are those whose content can be cited, summarized, and reused by AI engines. While traditional search remains important and shouldn’t be abandoned, neglecting AEO creates significant risks for brand visibility and control.

Brand perception is now shaped before the click.

AEO efforts can influence perception depending on how well the content appears in AI tools. If the facts about your product, pricing, or differentiators are inconsistent across pages, answer engines are less likely to trust or cite you.”

Answer engine optimization trends in 2026: How AEO is transforming the landscape

HubSpot

AI Business World 2026 AI Marketing Conference, April 29-30

AI Business World, a dedicated AI training conference for marketers and entrepreneurs, is set to take place April 29–30, 2026 in Anaheim, California, as part of the larger Social Media Marketing World event. The two-day program promises hands-on, practical AI marketing education designed to turn attendees from AI-curious to AI-confident, with over 20 tactical sessions led by experienced AI practitioners.

Here are the major attractions of AI Business World 2026, the focused AI-for-marketing conference taking place April 29–30 in Anaheim, California:

  • 20+ tactical sessions that go beyond theory to teach real AI workflows, tool selection, content creation, automation, and advanced applications marketers can implement immediately.
  • Sessions from top AI marketing practitioners such as Chris Penn, Dan Sanchez, Wendy Breakstone, Michael Hyatt, and others who share real-world strategies for using AI to boost efficiency, ROI, and business growth.
  • Training on building AI operating systems, designing AI workflows to multiply output, and structuring AI tools effectively in marketing processes.
  • Dedicated sessions on using AI for content creation, including video, copywriting, visuals, and optimized lead generation.
  • A dedicated networking space allows attendees to connect with 1,000+ forward-thinking marketers, share insights, and form valuable professional relationships.

AI Business World 2026 AI Marketing Conference

AI search strategy: A guide for modern marketing teams [Guide]

An AI search strategy is essential as users increasingly rely on AI-driven answers, voice assistants, and generative search experiences rather than traditional blue-link results. It helps brands stay discoverable by structuring content for intent, context, and authority across AI-powered search and answer engines.

HubSpot has published a new guide, ‘AI search strategy: A guide for modern marketing teams’.

Alex Sventeckis says, “An AI search strategy is a plan to optimize content for AI-powered search engines and answer engines. An AI search strategy aligns content with how large language models (LLMs) and answer engines interpret, summarize, and attribute information.

Traditional SEO optimizes for rankings and clicks; AI search optimization focuses on eligibility and accuracy so that when AI systems generate an answer, they can recognize, quote, and correctly attribute a brand. This kind of AI search optimization ensures machine learning systems can interpret your brand’s authority and present it accurately across AI Overviews, chat results, and voice queries.

In practice, that means structuring content so every paragraph can stand alone as a verifiable excerpt. Sentences should use clear subjects, defined relationships, and unambiguous outcomes. Schema markup confirms what each page represents — its entities, context, and authorship — while consistent naming helps AI systems map those entities across the web.

This approach reframes SEO fundamentals for the LLM era. Topics, intent, and authority remain essential, but the unit of optimization shifts from the page and its keywords to the paragraph and its relationships.

AI search strategy: A guide for modern marketing teams

HubSpot

Ask the PPC winners of the 2025 Search Engine Land Awards [Video]

Search Engine Land has published a new video, ‘Ask the PPC winners of the 2025 Search Engine Land Awards’.

The SEL team says, “Wrap up SMX Next with a live Q&A featuring select winners of the 2025 Search Engine Land Awards! Bring your burning PPC questions to the table… who better to give perspective and advice on your paid search queries than (officially!) award-winning, in-the-trenches experts? This exclusive session is 100% Q&A-powered… don’t be shy, ask away!”

Search Engine Land

 

Ahrefs Highlights 13 AI Marketing Examples

Ahrefs contributor Mateusz Makosiewicz has published an article featuring 13 AI marketing examples.

He says, “Every AI marketing disaster you’ve seen—the cringeworthy fake influencers, the obviously robotic copy, the brands caught lying about AI use—happened because someone thought AI could replace strategy, creativity, or authenticity.

The examples in this article prove the opposite: AI’s value is removing grunt work and constraints, not replacing the humans who understand your market, your brand, and your customers.

A $100 denim dog harness brand struggled with low ad engagement. The problem was that rock patches were on the back of the harness, so product photos showed the dog from behind, hiding its face. Dog owners scrolling social media kept scrolling past ads without cute dog faces visible.”

AI Marketing Examples: 13 Times AI Actually Delivered

AI Is Replacing Marketers — Here’s the 6-Step Plan to Survive [Podcast]

AI is enabling marketers to analyze vast data sets, predict customer behavior, and deliver highly personalized content at scale with greater speed and accuracy. It is also automating campaign optimization and performance insights, allowing marketers to focus more on strategy, creativity, and business growth.

The latest Ahrefs Podcast episode is titled ‘AI Is Replacing Marketers — Here’s the 6-Step Plan to Survive’ featuring Ryan Law.

Here’s what you’ll learn in this episode:

  • Will AI take your marketing job?
  • The Right Way to Use AI in Your Workflow
  • Why “Taste” is Your Most Valuable Skill Now
  • The Death of Skyscraper Content
  • Using AI to Learn New Skills (Like Python)
  • Be a Rockstar, Not a Session Musician.

Ahrefs

 

AEO vs. GEO explained: What marketers need to know now [Guide]

AEO (Answer Engine Optimization) focuses on structuring content so it can be directly used as clear answers by AI and voice-driven platforms. GEO (Generative Engine Optimization) ensures your brand and content are visible, cited, and trusted within AI-generated responses across search and generative systems.

HubSpot has published a new guide, ‘AEO vs. GEO explained: What marketers need to know now’.

Zoe Ashbridge says, “Marketers use AEO and GEO interchangeably, but there is a difference, and that’s what will be defined and explained in this article. In brief, AEO optimizes content for answer boxes and voice search results, while GEO targets AI chatbot citations and generated summaries.

It might be challenging to get everyone in agreement on what’s what, but let’s try. AEO and GEO are not going away, and the faster the industry can align on what these acronyms mean, the better. From a strategic perspective, it doesn’t matter that much since all SEO specialists should already be laying the foundations for AEO, GEO, and, of course, SEO. But with a unified definition, it’ll be much easier to talk about it all.

If you’re not sure you’re laying down the work required for AEO or GEO or how to measure their impact, stay tuned because we’ll cover that after defining our terms.”

AEO vs. GEO explained: What marketers need to know now

HubSpot

AI Visibility Tracking for Small Teams: A Practical Guide [Guide]

AI visibility is crucial as users increasingly rely on AI-powered search and recommendation systems to discover information and brands. Strong AI visibility ensures your content is accurately understood, surfaced, and trusted across emerging AI-driven platforms.

Semrush has published ‘AI Visibility Tracking for Small Teams: A Practical Guide’.

Tushar Pol says, “AI is changing how people discover brands—but most companies have no idea how visible they actually are in AI platforms. And if you’re a small team, you definitely don’t have the time (or budget) to manually check every chatbot or pay a hefty amount for monitoring software.

This guide shows you how to track your AI visibility without needing a big team, complex tools, or enterprise resources.

But before that, let’s understand why ignoring AI visibility is a riskier bet.

Why Small Teams Can’t Afford to Ignore AI Visibility

There are a couple of reasons why you shouldn’t ignore AI visibility:

  • Your competitors are getting cited while you’re invisible: While you might be focused solely on traditional SEO, competitors who understand AI visibility are securing citations in AI responses.
  • You’re losing high-intent traffic: People using AI search aren’t casually browsing—they’re asking specific questions and looking for solutions. These are warm leads actively seeking answers, and if your brand isn’t part of the conversation, you’re missing out on some of the most valuable traffic available.”

AI Visibility Tracking for Small Teams: A Practical Guide

Semrush

AI Marketing Isn’t As Scary As You Think [Video]

AI marketing uses artificial intelligence to analyze data, predict customer behavior, and deliver highly personalized campaigns at scale. It helps brands improve targeting, optimize content, and make faster, data-driven marketing decisions.

Neil Patel has published a new video, ‘AI Marketing Isn’t As Scary As You Think’.

In this video, you’ll learn:

  • Why SEO and algorithm optimization already prepared you for AI marketing
  • The fundamental shift: marketing to “Man AND Machines” has been happening since Google launched
  • How AI agents pull from the same content you’ve already optimized for search engines
  • Why data feeds and product information need to be more complete than ever
  • The difference between how humans consume content vs. how machines process it
  • Why being “thorough” is the new competitive advantage in AI-driven marketing
  • How marketing has evolved (and died) multiple times—and why this is just the next cycle.

Neil Patel’s Blog