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)
Microsoft updates ads platform for AI-driven discovery
Microsoft is adding tools to help brands stay visible as AI agents take a bigger role in search, shopping, and decision-making.
Marketing artificial intelligence (AI)
Before you buy another AI tool, ask these 5 questions
Buying AI is easy. Making it work across data, workflows, and teams is not. Here’s how to evaluate tools before you invest.
3 KPIs that prove marketing ops drives revenue impact
The right metrics connect marketing operations to pipeline, efficiency and financial outcomes the C-suite recognizes.
AI’s shortlist is the new B2B battleground
G2’s latest research shows AI chatbots are now shaping B2B vendor visibility, shortlists and even final selections.
A 15-minute AI workflow to clean campaign data
Fix inconsistent names, titles and company fields using AI and a spreadsheet, improve personalization and segmentation before you launch.
Marketing artificial intelligence (AI)
Adobe and Canva releases push AI deeper into creative workflows
Adobe and Canva are rolling out AI tools that turn design into conversation, intensifying competition and reshaping how marketers create.
Why your AI content feels inconsistent and how to fix it
Build a prompt system that keeps AI content on-brand. Learn how to use guardrails, references and structure to drive consistent, usable output.
Email platform decisions require more than the latest innovation
From rapid innovation to stagnation to an AI resurgence, email keeps evolving. Use that history to make smarter platform decisions.
Salesforce redesigns platform for agent-driven automation
Headless 360 exposes Salesforce data and workflows as APIs, making it easier for AI agents to automate tasks without relying on traditional user interfaces.
3 AI shifts reshaping market research
AI is gaining memory, security and self-validation capabilities, turning fragmented research into faster, more connected insight generation.
AI rewards brand meaning and punishes everything else
As AI reshapes discovery, brands built on transactions lose ground. Use this prompt to test and strengthen your brand’s visibility.
AI search adoption splits along income lines
Higher-value audiences are adopting AI faster, fragmenting search behavior and reshaping decisions before the click.
A framework for auditing generative AI outputs pre-launch
A structured review process helps teams enforce brand voice and reduce legal risk before AI-generated content reaches market.
Dell: Agents drive more ecommerce traffic, but conversions lag
Dell sees rising traffic from AI platforms, but the impact remains inconsistent as search continues to drive most ecommerce performance.
A 6-step AI workflow for building better seasonal campaigns
Turn scattered inputs into clear campaign strategy by combining CRM data, research and structured prompting into a repeatable system.
Marketing artificial intelligence (AI)
How to make AI work with context instead of prompts
AI struggles in enterprises not because of prompts, but because it lacks context. Here's how to build systems that fix that.
AI content can rank, but quality still decides winners
Semrush’s study shows AI content is already competing in search, but performance still comes down to execution, not the tool.
Marketing artificial intelligence (AI)
Using AI isn’t the same as getting value from it
Most teams have access to AI, but still struggle to see meaningful results. The issue isn’t the tools, but where they’re applied.
Marketing artificial intelligence (AI)
AI and empathy define the next era of marketing systems
The real opportunity with AI is not scale alone, but designing experiences that reduce friction and support both customers and teams.
Three first-party data strategies retail brands are prioritizing now
As 3rd-party cookies fade, mid-market retailers are leaning on direct value exchanges, ID-driven experiences and zero-party signals to rebuild their data.
Why AI-driven creative is failing and how to fix it
From Coca-Cola to Svedka, poor execution is undermining AI-driven creative. Learn how to use genAI in ways that support storytelling.
Marketing artificial intelligence (AI)
AI adoption fails at the human level
The biggest blocker to AI isn’t technology. It’s fear, risk perception and past experience. Here’s how to address what’s really holding teams back.
Your AI governance gap is bigger than you think
AI is already being used across your organization. Audit tools, set guardrails and reduce risk with a practical governance framework.
HubSpot moves to outcome-based pricing for some Breeze AI agents
HubSpot bets customers will be more likely to deploy its AI agents if they only pay when the agent does its job.
As AI does more of the work, are we building the right leaders?
AI is accelerating analysis and reporting, but fewer marketers understand the data underneath. That gap is where leadership risk begins.
The real impact of AI on budgets, stacks and teams
AI is replacing tools and reshaping budgets, but it’s also expanding stacks and increasing headcount.
Marketing artificial intelligence (AI)
Agentic AI discovery requires machine-readable brands
Drive better visibility and outcomes in AI search by making your brand easier for machines to interpret, connect and act on.
Salesforce turns Slack into the front end for enterprise AI
New Slackbot capabilities hope to connect conversations, data and actions, making Slack the interface where AI-driven work actually gets done.
Building an AI competitive edge through strategy and governance
AI can produce content at scale, but not direction. Better inputs, proprietary data and clear guardrails drive stronger outcomes.
The truth about martech in 2026
AI is exposing what your martech stack can’t hide. In 2026, teams without the skills and processes to support it won’t be able to prove ROI.
The hidden tradeoffs in moving to a composable martech stack
Best-of-breed stacks promise agility, but the real impact on speed and cost depends on how well teams manage integration, data and operational complexity.
Marketing artificial intelligence (AI)
Data built modern marketing, but AI is rewriting the rules
Marketers have long treated data as the goal. AI flips that model. Here’s how to adapt your data strategy.
Marketing artificial intelligence (AI)
How NotebookLM turns marketing docs into usable insights
Upload research, reports and campaign data to explore patterns, answer questions and uncover insights from your own material.
Salesforce Agentforce: What you need to know
We've updated our page on Agentforce with details on the release of Agentforce Operations.
Marketing artificial intelligence (AI)
Athena signals Zeta’s push into AI-driven marketing systems
Zeta is betting that tighter integration of data and AI will reduce the gap between insight and action.
Why AI personalization comes with strict limits
Consumers are more willing to trade data for better recommendations, but they are very clear about what the red lines are.
Why performance marketing stops working
Most brands optimize conversion while neglecting demand. Here’s what happens when the pipeline runs dry and how to fix it.
Will AI end SEO?
From prompt engineering to data quality, SEO still depends on human input — even with AI's expanding capabilities.
How to prove ROI from AI workflow integration in B2B marketing
Embedding AI into marketing workflows promises big efficiency and performance gains — but you’ll need the right ROI models to justify the investment.
Marketing artificial intelligence (AI)
AI commoditizes marketing execution and elevates judgment
Marketing teams risk flooding channels with low-quality AI slop. Learn how to balance speed with strategy and protect brand integrity.