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:
Twilio launches conversation layer to unify AI and human interactions
New platform capabilities aim to connect data, channels, and agents so customer conversations carry context across every interaction.
Marketing artificial intelligence (AI)
Why AI agent adoption is creating unseen risk across the enterprise
From compliance exposure to lost revenue, weak governance is turning AI gains into hidden liabilities.
Martech 2026: AI drives a major industry reset
Flat growth masks a deeper shift as AI moves to the center of value creation and forces a rethink of how martech stacks are built.
Digital video ad spend surges as AI and targeting reshape strategy
Digital video now more than 60% of TV and video spend, so advertisers are prioritizing AI, precision targeting, and measurable outcomes.
The third parties shaping your brand in AI search
AI answers are shaped by sources beyond your site. Understand which platforms matter and how to ensure your brand shows up accurately.
How marketing leaders are succeeding in the AI era
Despite AI reshaping markets, most CMOs are still seen as execution-focused, creating a gap that threatens their strategic relevance.
Marketing artificial intelligence (AI)
Why AI agents need decision authority
Data sovereignty controls access, but decision architecture defines action. Beyond unifying data, a sovereign operating layer secures AI rights and prevents risk.
Why affiliate marketing still needs humans in the AI era
As AI reshapes martech, affiliate programs highlight where human expertise still drives performance and results.
Marketing artificial intelligence (AI)
Why we trust AI when it makes things up
As AI gets more fluent and human-like, our instincts to trust it are making catching hallucinations more difficult.
AI shopping hits a trust ceiling even as AI adoption rises
Most consumers use AI to research products, but hesitation around payments shows a clear ceiling on how far AI commerce can go.
Marketing artificial intelligence (AI)
The latest AI-powered martech news and releases
As AI billionaires cash in, they’re already gearing up to sell the public on a feel-good story no one asked for and even fewer will buy.
AI moved forward, marketing did not
Marketers were early adopters of AI, but while it has evolved most teams are still stuck using it like a smarter autocomplete.
Marketing artificial intelligence (AI)
Delegated authority is the missing layer in the AI martech stack
Scaling AI without a clear governance layer risks uncoordinated liability. Delegated authority gives your agents the guardrails needed to act with confidence.
Salesforce launches Agentforce Operations to automate back-office work
New AI agents aim to cut manual tasks and speed up workflows across disconnected systems in the back office.
What vibe coding misses and what open source gets right
As AI-driven development accelerates, ownership and maintenance questions grow. Here’s how open source offers a path forward.
Marketing artificial intelligence (AI)
Vibe coding is hollowing out the martech stack fast
Marketers are replacing SaaS tools with AI-built alternatives, driving churn and shifting where real value in martech now lives.
Optimization and personalization
Why contextual collaboration is replacing personalization
Prebuilt campaigns are losing ground to continuous decisioning. Marketing teams need systems that respond as context evolves.
Warehouse-native CDPs vs standalone platforms explained
Choosing between your data warehouse and a packaged CDP depends on control, speed and operational complexity.
Why relevance now beats reach in the AI-driven buyer journey
Buyers are forming opinions before they click. Learn how to show up in AI answers, earn trust in peer networks, and influence decisions earlier.
LinkedIn’s AI is changing how content gets distributed
LinkedIn’s latest AI changes are redefining how content gains reach, favoring expertise, consistency, and meaningful signals like saves.
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.