Marketing artificial intelligence (AI)
MarTech is your source for marketing artificial intelligence content. You’ll find a variety of up-to-date and authoritative resources, including the latest news, tactic-rich tutorials, a buyer’s guide to generative AI for content creation, and the latest data to help you work smarter and make better decisions.
What you read here is written by our experienced in-house team of editors and research professionals, and subject matter experts from leading brands and agencies.
Why we care about marketing AI
In order to engage customers in a personal way, at a very large scale, AI or machine learning is essential. Chatbots and smart assistants are already leading client interactions, and AI-generated content is taking the content marketing world by storm. AI also enables the analysis and interpretation of data at a speed and volume beyond human capabilities.
Algorithms are continuing to improve as well, accelerating optimization in near real-time. As AI improves, use-cases are only going to increase.
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Dig deeper into marketing AI:
Marketing artificial intelligence (AI)
ChatGPT Ads adds conversion bidding and stronger measurement
New capabilities bring it closer to the workflow and optimization tools advertisers already use in Google Ads and Meta Ads.
Why your AI-review process is going to fail
Reviewing AI output for plausibility isn't enough. Here's a simple structure you can apply to protect yourself from "hallucinations."
Optimizing for the holiday ecommerce surge
Maximizing your revenue during the peak retail season requires structural readiness. Here are the five essential applications your team must optimize.
AI is pushing composability beyond software
The martech stack now has a new building block: intelligence that can reason, plan, and work alongside SaaS systems and human teams.
Time saved by using AI is being spent on managing its output
Any time savings from AI are getting eaten up by fixing output, managing fragmented tools, and building the governance needed to make it work.
Marketing artificial intelligence (AI)
The real risk in agentic commerce
As AI agents take over product discovery, marketers risk losing pricing power and customer relationships unless they own the underlying data.
The 7 layers of an AI-ready marketing operating system
See how an orchestrated approach can help marketing teams move faster, improve with every campaign and get more value from AI.
ChatGPT has no clear brand leader in most categories
Semrush found only 15% of ChatGPT categories have a consistent brand leader, underscoring how difficult AI visibility is to sustain.
Consumer distrust of AI isn’t all about the AI
Research shows consumers worry less about the technology than how brands collect, manage, and use their personal data.
Your newest competitors aren’t other brands
AI forms buyers' opinions before they visit your website. Learn how to build authority across AI and the sources they trust.
Your best practices may already be outdated
AI is reshaping the assumptions behind decades of marketing strategy, making some familiar playbooks less reliable.
What CMOs should be doing about AI right now
Build AI literacy, rethink team structures and workflows, and prepare your marketing organization for AI-driven change.
Stop buying AI and start buying capabilities
"AI-powered" hides what a product actually does. A four-part framework makes vendor claims easier to evaluate and compare.
Unlocking enterprise AI through unified workflows
Isolated artificial intelligence assistants are costing your operations team time. Here is how workflow integration transforms raw AI into actual enterprise value.
Salesforce’s woes underline marketing’s agentic AI problems
Slow Agentforce adoption highlights the poor data quality and operational readiness limiting enterprise AI adoption.
Look past AI to see where martech is going
AI dominates the conversation, but stack rationalization, modern measurement, and modular content are quietly reshaping marketing operations.
Marketing artificial intelligence (AI)
Marketing’s AI challenge goes beyond adoption
Researchers found marketers value AI's efficiency but remain concerned about organizational readiness and the profession's future.
Why AI-ready data infrastructure is so hard to build
Many companies try to fix everything before using AI. Learn why starting with one important problem works better.
Customer relationship management (CRM)
Creatio takes aim at the enterprise Frankenstack
The company's latest platform combines CRM, AI agents, and workflows to replace disconnected point solutions with a single operating environment.
Marketing artificial intelligence (AI)
5 questions to ask AI vendors before you buy anything
Cut through AI hype by evaluating business value, data policies, customer proof, and implementation before you invest.
Is Open Semantic Interchange your data silo cure?
Breaking down marketing database silos requires more than APIs. Here is how the Open Semantic Interchange standardizes metadata.
AI adoption hits 90% as CX deployment paths diverge
AI adoption is nearly universal in CX, but organizations are divided on architecture, governance, and building customer trust while proving ROI.
Who trains tomorrow’s marketers if AI does the work?
As AI takes over entry-level marketing tasks, how do organizations help people develop the judgment needed to be marketing leaders?
Content management systems (CMS)
The CMS is becoming the AI operating system for brands
Choosing a CMS now means preparing for AI discovery, governance, personalization, and agents. Learn what to look for in your next platform.
Marketing artificial intelligence (AI)
Getting started with Hermes Agent Desktop
Learn how to install Hermes Desktop, connect a model, create reusable skills, and keep marketing workflow context under your control.
Why AI search makes trust your most important visibility signal
See how AI systems evaluate brands and why authority, reputation, and technical SEO increasingly influence who gets surfaced and recommended.
Customer relationship management (CRM)
HubSpot reverses course after customers reject data sharing
Beyond the backlash lies a bigger issue for marketers: when vendors need customer data for their products, who captures the value?
Marketing artificial intelligence (AI)
3 AI agents to improve marketing workflows
Pilot AI agents with a shared source of truth, practical KPIs, and human oversight that keeps strategy and quality on track.
How AI discovery is changing everything marketers measure
AI-powered discovery is reducing the value of traffic-based metrics. Here’s what to measure instead to understand marketing performance.
Turning marketing complexity into a competitive advantage
More channels, more AI, and more data create new opportunities and challenges. Learn how to build a marketing ecosystem that scales.
Marketing artificial intelligence (AI)
How to build a Hermes Agent-style workflow
Most AI tool workflows send the model far more data than it needs. The fix is a simple shift that cuts waste without cutting capability.
The hidden cost of your fragmented martech stack
Why your favorite best-of-breed marketing tools might be creating a structural complexity wall that actively slows down your revenue operations.
FREE! The email subject line rules that don’t hold up!
New research based on 4.6 billion emails challenges some of marketing's oldest subject line advice and offers a framework for testing what works.
Stop adopting AI and start solving problems
Without clear processes, training, and governance, AI can create more work, weaken trust, and increase brand risk.
AI visibility depends on who writes about your brand
Strong rankings don't guarantee AI visibility. Learn what drives citations and how to measure your brand's presence across AI platforms.
HubSpot’s Warmly deal points to the next generation of CRM
HubSpot's acquisition shows CRM platforms are evolving from customer databases into AI systems that identify buying intent and take action.
Marketing artificial intelligence (AI)
AI is making creative the new targeting
As Google, Meta, and TikTok automate audience targeting, your headlines, images, and videos are becoming the strongest signals for who sees your ads.
Bad data is teaching AI to waste your ad budget
In automated advertising, inaccurate conversion data doesn't just skew reports, it trains bidding algorithms to optimize for the wrong customers.
AI made email marketing easier. It needs us to make it better.
AI can write email campaigns in seconds, but it can't replace the strategy, judgement, and customer understanding that make them worth sending.
Marketing artificial intelligence (AI)
Why marketers need to push back against AI
Studies show that relying too heavily on AI can erode critical thinking, making human judgment more valuable than ever.