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)
The hidden costs distorting your AI ROI
Integration, oversight, data preparation, and displaced work can turn an impressive AI productivity gain into a much smaller financial return.
Best-in-class martech depends on your business context
Research across 953 martech stacks reveals when more functionality helps, when execution matters more, and when less can be better.
The terrifying loophole in your autonomous tech stack
AI agents pass data back and forth to run your campaigns. Here is how to prevent proprietary leaks and privacy failures
Marketers know AI is using bad data to make decisions
Marketers are giving AI more authority even as bad CRM data undermines revenue measurement, reporting, and the decisions AI makes.
How to keep a crisis from defining your brand online
A reputation crisis can shape how your brand appears in search and AI for years. Learn how to contain the damage and build digital resilience.
Marketing artificial intelligence (AI)
The AI governance test most marketers are missing
When AI gets a marketing decision wrong, the fix could belong in the rule, the control, the implementation or the authority behind it. Here's how to tell.
What it takes for AI to find, trust, and act on your brand
A practical model for connecting the information, architecture, measurement and transaction capabilities AI discovery requires.
How to build an AI content system that works
Build a reliable AI content system in Claude Code with the right context, specialized agents, and human review.
AI is making bad marketing data harder to ignore
AI workflows inherit the weaknesses in your data. Learn how to find gaps across your data pipeline and fix them at the source.
The terrifying math behind your new AI workforce
Autonomous marketing agents promise massive labor savings, but ballooning API fees and middleware costs can easily break your technology budget.
What the teams getting the most from AI do differently
Teams built around autonomy, experimentation, and cross-functional work can turn AI’s speed into faster campaigns without adding headcount.
Business websites dominate Gemini’s local AI citations
Nearly 60% of Gemini’s local citations point to business websites, but recommendations can change dramatically when using identical searches.
Getting your brand ready for AI agent discovery
Being included in an AI answer isn't the same as being chosen. Here's what determines the difference.
Turn scattered AI wins into an organizational advantage
Useful AI practices often get trapped in personal docs and Slack threads. Here's how to spread them across the organization.
AI visibility index shows which brands are disappearing
Some brands dominate Google yet barely surface in AI answers. Here’s where traditional authority and AI recall diverge.
Marketing artificial intelligence (AI)
IAB updates standard for disclosing AI in ads
IAB’s updated framework draws the AI disclosure line around what changes consumer perceptions of authenticity, identity, and what’s real.
How to overcome the 3 barriers to AI adoption
The biggest barriers to AI adoption may be internal: inconsistent training, bias concerns, and tactics that get ahead of strategy.
How to stop overpaying for AI complexity
Rule-based, predictive, generative, and agentic systems come with very different costs and risks. Start with the lightest approach that can do the job.
Why buyers hate your multi-year software overhaul
B2B buyers are growing more risk-averse. Here is how to restructure engineering and pitches around modular API integration models.
Is your martech stack costing more time than it saves?
Disconnected systems create missed work and hours of admin. The real measure of martech productivity is how much work the stack eliminates.
The AI debt hidden in faster marketing
Marketing can produce more with AI, but every new capability creates work to govern, integrate, measure, and maintain. That’s where AI debt builds.
Here’s the first martech category replaced by AI
CI tools are losing ground to ChatGPT, Claude, and Gemini. Here's why stale battlecards may be the bigger problem.
How AI, publishers, and social media are rewriting product discovery
Product discovery now spans AI, social, publishers, creators and communities. Here’s how brands can influence purchase decisions.
How to manage AI prompt governance and costs
Scaling content generation requires strict fiscal and brand control. Here is how to build centralized frameworks for prompts and tokens.
Marketing artificial intelligence (AI)
5 AI blind spots that cost you conversions
Every marketer can generate competent copy. Few understand what actually changes behavior.
Marketing artificial intelligence (AI)
OpenAI adds technology to compete for ad dollars
Product carousels and AppsFlyer attribution give ChatGPT more of what performance marketers need to move beyond experimental ad buys.
Here are the marketing skills AI is making more valuable
As AI takes on more execution, there is more need for marketers who bring judgment, strategy and the skills to direct the technology.
6 steps to protect your data from being stolen by vendors
Learn how to audit martech vendors, limit their access to sensitive data and make security part of every software purchase.
Time’s AI-only ads may be marketing’s next frontier
Time is serving ads directly to AI crawlers, a strategy that could reshape how brands influence AI-generated answers.
How agencies are evolving to overcome AI
Routine content creation is becoming less valuable. New research shows agencies are responding by selling expertise instead of production.
Customer relationship management (CRM)
Is your intent data being sold to your competitors?
Researchers say software vendors routinely collect customer and business data and incorporate it into commercial products.
The future belongs to marketers who make others smarter
Experience isn't losing value because of AI. It's shifting from personal expertise to better decisions, stronger teams, and organizational impact.
Marketing artificial intelligence (AI)
OpenAI ad experiment could change what happens after the click
ChatGPT ads appear to launch business-specific AI agent that answers questions, recommends products, and captures leads.
AI is reshaping marketing teams from the inside
AI's biggest impact isn't content creation. It's breaking down silos, changing roles, and creating more integrated marketing organizations.
Customers don’t hate AI. They hate self-serving AI.
Every AI investment should make it easier for customers to accomplish what they came to do. Here's how to evaluate whether it does.
How to give AI the context it needs
AI is only as useful as the context it receives. A Context Memory Graph turns disconnected data into actionable intelligence.
Optimizing your B2B brand for autonomous AI shoppers
When B2B buyers delegate product research to AI agents, traditional SEO rules break down. Here is how to ensure your brand gets cited.
Four holiday reports reveal one big divide over AI
The surveys tell a consistent story about holiday shoppers. They disagree about how quickly AI is changing the buying journey.
AI speeds marketing production, but measurement lags
AI is accelerating marketing production, but most teams still measure clicks instead of business outcomes, limiting their ability to prove AI's impact.
AI can simulate buyers, but it misses personality
Synthetic audiences depend on the signals they're built from. Personality may be the missing ingredient for improving accuracy.