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:
Cheap CAC can be expensive growth
Some campaigns create demand. Others just take credit for it. Find out how to tell the difference and make better budget decisions with AI.
Optimization and personalization
How to stand out in a sea of personalization
The tidal wave of AI content variations is an opportunity to stand out by using creative thinking to build experiences people actually care about.
Combining MMM with post-purchase survey attribution
Enterprise marketers use top-down statistical modeling and bottom-up survey data to capture hard-to-track dark social shares and offline mentions.
Marketing artificial intelligence (AI)
Better prompts start before the prompt
The fastest way to improve AI-built software is defining the user, the task, and what success looks like before generating anything.
ChatGPT’s paid traffic is worth far less than Google’s
Paid ChatGPT visits generated 89 cents in revenue per session, compared with $2.45 from paid Google Search.
Is your affiliate program showing up too late?
Coupon partners can close sales, but growth also depends on who helps new audiences discover the brand before they’re ready to buy.
Marketing artificial intelligence (AI)
The latest AI-powered martech news and releases
Scott Brinker says AI removes the human friction that used to catch bad decisions, making context an operations problem, not a prompt-writing problem.
Why AI is complicating marketing centralization
Shared resources offer scale and control. Local teams offer speed and flexibility. How to decide where different marketing capabilities belong.
How to turn AI productivity gains into marketing ROI
Faster drafts don't mean faster campaigns. Tackle approval bottlenecks, empower teams to make decisions, and measure the gains.
What to do before buying a martech platform with AI context
Your team already owns the hardest part of AI context: deciding what's approved, what's off-limits, and who gets the final say.
Marketing artificial intelligence (AI)
AI traffic drives 83% more revenue per visit
Adobe research also found that AI traffic converted 90% better than non-AI traffic.
If you don’t define your weakness, AI will
B2B companies that avoid saying who they’re wrong for are letting buyers, competitors, and AI systems do it for them.
Marketing artificial intelligence (AI)
AI can find patterns, but marketers must figure out what they mean
The biggest opportunity for AI in marketing could be the questions you haven't thought to ask — and the customer behaviors they reveal.
Evaluating martech stacks to cut underutilized tools
Use structured auditing frameworks to eliminate duplicate software, trim SaaS bloat, and align spending with core business outcomes.
Most marketers say AI works. Few can prove it.
AI can make work faster while leaving teams unable to prove the value. The problem starts before launch, with weak baselines and success metrics.
The risks of optimizing SEO for AI over users
Chasing AI visibility can lead to generic content, weaker differentiation, and declining trust. Here's what deserves your attention.
6 mistakes to avoid with AI-powered performance marketing
AI can make campaign metrics look better while producing less business value. The risk is optimizing faster toward the wrong goal.
Your event content needs a destination before it needs a prompt
AI makes repurposing event content easier. Here's how to prioritize what matters, get it to the right audiences, and show its value.
Restructuring martech ops for autonomous AI agents
MOps teams are shifting from task executors to AI fleet managers to run autonomous agents alongside traditional software.
Why winning AI search isn’t enough to win B2B buyers
Confusing navigation, vague claims, and missing evidence cost you buyers. See how cognitive-load testing helps identify and address these barriers.
Your CEO wants answers your dashboard can’t give
Marketing metrics show what happened in a campaign. The harder job is connecting customer behavior to growth, margin, and profit.
Why organic traffic can fall while revenue stays strong
Before overhauling your SEO strategy, look at branded search, high-intent visits, and pipeline data to see whether there's actually a problem.
ChatGPT sends less than 1% of Google’s traffic
ChatGPT visitors converted at a higher rate, but Google organic still drove 27 times as many conversions as all LLMs combined.
Marketing artificial intelligence (AI)
How to build a reliable source of truth for AI agents
Your AI agents may follow instructions perfectly — and still get things wrong. The problem could lie in the documents they rely on.
Marketing artificial intelligence (AI)
Creator content shapes AI product recommendations
AI draws on creator reviews, product experiences, and consumer sentiment to inform recommendations. Here's why that matters for brands.
AI search is turning prompts into customer research
Longer, more personal queries reveal the needs, trade-offs, and situations behind intent — giving marketers a richer view of what customers want.
How to evaluate composable versus packaged CDP
Evaluating data warehouse readiness, engineering capacity, and real-time execution speeds determines optimal CDP architecture.
Adding AI or headcount won’t fix a marketing skills gap
AI can increase output while creating more work for your best people. Three practical checks can help you avoid that trap.
Email marketing’s history can guide AI governance
Attribution, accuracy, and authenticity offer a starting point for responsible AI use — and for protecting your brand's credibility.
Your AI visibility score may be hiding a problem
Brand mentions and source citations often tell very different stories. Marketers need to know which one is weak before choosing a fix.
AI won’t kill sales jobs — buyers will
As buyers put more trust in their own AI agents, sales reps face a new challenge: proving why they still deserve a seat at the table.
Salesforce buys AI analytics startup Loops
Salesforce is buying Loops to help explain why business metrics change, pushing analytics closer to continuous AI-driven interpretation.
Marketing artificial intelligence (AI)
AI agents are coming between you and your customers
Customer preferences, purchase decisions, and even checkout are moving beyond brands' control. Here's what you can still influence — and how.
How MOps teams are restructuring for autonomous AI agents
Managing autonomous software agents requires shifting marketing operations from manual execution to agent orchestration and systems oversight.
Marketing artificial intelligence (AI)
The state of AI in marketing: Q4 2026
Examining where AI stands in Q4 2026 reveals a key gap: moving beyond basic tools requires systemic change to unlock real business value.
AI budgets are growing faster than proof of ROI
Companies are spending heavily on AI, but most agent projects are still short of full scale and many marketing teams can’t show clear financial value.
Not everyone in marketing should be an AI builder
Marketing teams are rewarding AI builders, but they also need maintainers, monitors, and users. Here's why those roles matter.
Marketing artificial intelligence (AI)
Agentic media buying needs malware guardrails: A PropellerAds view
As AI takes on more campaign decisions, traffic-quality and security signals need to become part of the optimization logic.
Marketing artificial intelligence (AI)
Stop letting AI make your marketing decisions
AI can support marketing implementation, but experienced marketers must guide strategy, evaluate work and stay accountable for results.
Treasure AI takes on two martech headaches at once
Personalization Studio targets marketers’ dependence on technical teams. A new pricing model ties email costs more closely to engagement.