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 AI era needs strategists grounded in expertise and guided by context
Clients can generate outputs with AI. Agencies win by delivering strategic clarity, integrated thinking and real-time intelligence.
Marketing artificial intelligence (AI)
Why automating a broken workflow with AI is a trap
Optimizing tasks and ignoring the system, automates waste. This framework lets you map friction and unlock real productivity gains.
Marketing artificial intelligence (AI)
OpenAI and Google reveal competing visions for AI ads
As AI becomes the front door to discovery, Google and OpenAI are taking very different paths to embed advertising into the experience.
Why marketing automation platforms are becoming decision engines
Marketing automation platforms aren’t just running campaigns anymore — they’re learning, adapting and deciding what happens next in real time.
Marketing artificial intelligence (AI)
How to design marketing organizations for AI learning and scale
Using AI in marketing requires separating learning from delivery. A lab-factory model offers a repeatable path from experimentation to scale.
Marketing artificial intelligence (AI)
Oracle expands its AI agents for marketing, sales and CS teams
Oracle is betting that role-based AI agents — not standalone tools — will let revenue teams cut through data silos and focus more on strategy and growth.
How affiliate marketing powers AI search and creator commerce
Affiliate marketing enables AI visibility, creator monetization and privacy-resilient attribution as brands adapt to new discovery and commerce behaviors.
Brand is the decision in B2B, and AI decides first
AI forms brand perception upstream, long before buyers see your positioning. Consistent delivery across every touchpoint is now the differentiator.
Unify your adtech and salestech without breaking what works
Unifying your revenue tech stack doesn't mean compromising on specialization — here's how to connect the dots without breaking what works.
US B2B marketers have the biggest budgets and the lowest confidence
55% of U.S. B2B marketers reported budget increases in 2026, while 37% were asked to make cuts — most of them under 10%.
AI could unlock $32B for marketers, if we fix measurement first
When channels can’t be measured, they get underfunded. Bias in today’s models limits growth. Here's why better foundations matter more than new tools.
Performance marketing is being rewritten by AI
From targeting and media buying to creative testing and attribution, AI isn’t just helping marketers — it’s doing the work, faster and smarter than ever.
The brand moments algorithms will never understand
Some of the most effective brand investments don’t show ROI, attribution or lift. That’s exactly why AI struggles to value them.
For ChatGPT ads, behavior matters more than targeting
ChatGPT ads mark a shift from keyword intent to behavioral understanding, changing how relevance, creative and measurement work.
57% of consumers trust brands more when they use AI, study finds
Consumers aren’t pushing back on AI — they’re embracing it, as long as it adds value without crossing the line.
Marketing artificial intelligence (AI)
Why AI visibility can increase direct traffic even when nobody clicks
Seeing a spike in direct traffic you can’t explain? It’s not a glitch. Here’s how to prove AI visibility is driving brand recall — even when you don't get the click.
The new buyer decision cycle happens across SEO and GEO
Still fighting for clicks in a zero-click world? We see you. Here's how to unify SEO and GEO to ensure your expertise is what your buyers hear.
How to make retargeting emails drive more sales during promotions
With the right timing, personalization, and urgency, retargeting emails can turn browsers into buyers during high-stakes events like Black Friday and Cyber Monday.
Digital asset management (DAM)
Your DAM is no longer the system of record, and everyone knows it
As AI pulls content decisions closer to production, organizations must choose a single system to own the truth — or pay the price for pretending they don’t have to.
How to humanize an AI-generated content calendar for 2026
AI can’t reflect your brand on its own. Here are five ways to humanize AI-assisted content planning.
Google searches per U.S. user down nearly 20%
Data signals a tougher discovery era as AI cuts repeat searches, concentrates traffic, and leaves publishers with fewer opportunities.
How CMOs should think about discovery in an AI-first world
As buyers rely on AI summaries, marketing needs new visibility models, KPIs and ownership over the next 18 months.
You no longer have to choose between insight and impact
AI is eliminating the either/or of qualitative depth and quantitative scale, giving marketers a new way to understand people and performance at once.
Marketing artificial intelligence (AI)
AI governance without strategy is setting marketing teams up to fail
Marketers are racing to govern AI without planning for outcomes. New ANA data shows why policies alone create control theater, not value.
How to write promotional emails that actually convert
Most webinar emails fail because they’re vague, overloaded or forgettable. The right copy frameworks and clear CTAs can turn invites into registrations.
Find out if AI-driven disruption is coming for your industry
Where your industry falls on the disruption curve will determine whether you gain ground or get left behind.
AI is rebuilding the inbox, and email marketers can’t control it
Email inboxes are becoming AI-driven assistants that prioritize, summarize and filter messages. Here’s what this shift means for your email strategy.
The free AI tool that exposes messaging gaps on your site
NotebookLM’s Audio Overview lets marketers hear how their site lands with fresh eyes — revealing the gaps that cost attention, trust and conversions.
Why AI visibility is now a C-suite mandate
AI is replacing your website as the first customer touchpoint. Here’s why AI visibility is now a data, governance and revenue priority.
How AI agents shaped the record-breaking 2025 holiday season
Salesforce data shows where AI agents drove growth, conversion and efficiency during the holidays — and what marketers should do next.
Marketing artificial intelligence (AI)
The most useful AI tool might already be in your browser
The most transformative AI tool for marketers might be the quiet assistant built right into your browser, offering instant context without breaking your flow.
AI is paying off for B2B marketing. For B2B marketers? Not so much.
82% of B2B marketers say AI skills haven't helped their paycheck, and 70% are upskilling on their own time and their own dime.
Marketing artificial intelligence (AI)
Bad processes don’t get better with automation
AI-powered automation reflects your process discipline and data quality. Without controls, it turns flawed assumptions into trusted mistakes.
Why engagement metrics matter more than sessions in AI search
Sessions don’t tell the full SEO story in AI search. Engagement metrics reveal whether content actually satisfies user intent.
How to build lasting buyer momentum in B2B marketing
Connecting mental availability to buying triggers — not just short-term campaigns — is key to driving long-term engagement and growth.
Why AI is the most unpredictable cost in the martech stack
AI costs don’t scale like licenses or infrastructure. Learn why inference and orchestration drive volatility — and how teams can regain visibility and control.
How to tell if you have too many tools in your stack
Marketing stacks with too many underused platforms are adding cost, complexity and drag where efficiency was promised.
B2B marketers trust AI for execution but not strategy
Most B2B marketing leaders see AI as a productivity booster, but only a small fraction trust it with strategic decisions like positioning or long-term planning.
More AI for the Gmail inbox isn’t the end of email marketing
Google’s AI is changing Gmail. What does it means for your campaigns? Time to adapt and stay relevant — again.
3 strategies for killing AI slop in your email copy
Speed isn’t the problem. Missing structure is. Better briefs, QA and human review help teams protect inbox performance.