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:
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)
The latest AI-powered martech news and releases
As AI leaders scramble for viable business models, the moves from OpenAI and Meta look less strategic and more like panic under pressure.
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 Intent-Aware Search in Agentforce for Commerce.
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.
Walmart says ChatGPT checkout converted 3x worse than its own website
Walmart’s test shows AI-driven checkout may simplify buying, but it still converts far worse than traditional ecommerce experiences.
ActiveCampaign extends its AI capabilities with context and scale
ActiveCampaign’s new AI tools alert you to what’s working in your campaigns and beyond and how to fix what isn’t — no prompting required.
AI is reshaping what entry-level marketing work looks like
AI is transforming entry-level marketing roles from execution to oversight, forcing teams to rethink how junior talent contributes and grows.
3 ways to reduce bias in AI with better context
AI bias often starts before the model runs. Missing context, flawed prompts and assumptions distort outputs. Here's how to correct them.
Middle managers are the missing link in AI adoption
Executives set the vision and teams test tools, but transformation happens in the middle. Equip managers to drive AI-powered workflow change.
The new must-haves in B2B ecommerce tech stacks go beyond CRM and CMS
As B2B buyers expect more B2C-like experiences, ecommerce marketers need tools that go far beyond the basics.
Most consumers use AI, but few fully trust it
New research shows AI is already shaping product discovery and purchases, but a large gap between usage and trust is creating new challenges for marketers.
AI is repricing the marketing stack, not collapsing it
AI is making coordination tools easier to replicate, putting pricing pressure on parts of the marketing stack that deliver convenience rather than operational risk.
Marketing artificial intelligence (AI)
IAB proposes new payment rules for AI content access
The IAB Tech Lab’s new protocol aims to create payment rails for AI systems using publisher content, potentially reshaping how information is valued online.
Why marketing needs a decision infrastructure for AI
AI excels where structure already exists. Context graphs could help marketing capture decision logic and make AI systems more reliable.
Why vibe coding will disrupt martech’s buy-or-build debate
AI tools could let marketers fill techstack product gaps without waiting on vendors, but it also requires taking on new responsibilities.
A 90-day plan to build AI-citable authority
This framework uses original data, tools and cross-channel content to drive AI citations and high-intent leads.
How shaping AI buying can boost B2B CMO strategic influence
As AI increasingly evaluates vendors before buyers do, CMOs who control structured data, proof and category language can influence who makes the shortlist.
AI speeds up CX, but alignment still decides success
AI improves the speed and scale of customer experience decisions, but won't resolve organizational alignment problems behind most CX failures.
Customer relationship management (CRM)
Salesforce and HubSpot reshape partner programs for the AI era
Salesforce and HubSpot tighten partner programs as AI reshapes the tech stack, pushing agencies to specialize and raising the stakes in platform competition.
How B2B marketers can prepare for AI agents that do the buying
As AI agents take a larger role in B2B purchase research, optimizing your content and data for machine-readability could become a competitive differentiator.
Marketing artificial intelligence (AI)
Why most marketers are still only experimenting with AI
Executives are pushing hard for AI adoption, but most marketing teams lack the needed strategy, training and data.
Marketing artificial intelligence (AI)
Turn ChatGPT into your on-demand GTM consultant
A diagnostic framework shows how marketing teams can codify consulting expertise into AI to analyze revenue architecture and GTM performance.
Marketing artificial intelligence (AI)
Automation is marketing’s fastest path to AI returns
Automation levels directly correlate with AI returns. Without structural change, marketing’s AI spend may amplify old inefficiencies.
Why original thinking is your competitive advantage in the AI era
AI rewards original insight, proprietary data and firsthand experience over length and polish. Here’s how content strategy must evolve.
How OSI could change evaluating and selecting martech vendors
The open semantic interchange framework may push vendors to prioritize interoperability over lock-in, reshaping how marketers build and buy their stacks.
How to drive real ROI with AI in B2B marketing
AI adoption is nearly universal, but ROI confidence is slipping. Learn how mature teams connect AI to pipeline, deal velocity and revenue growth.
What gets B2B brands cited in genAI answers
A study of 1,000+ prompts across four AI engines reveals what drives B2B brand visibility in generative AI answers — and where common GEO advice falls short.
Marketing artificial intelligence (AI)
Customers want dialogue, and marketers cannot keep up
Salesforce survey finds 83% of marketers saying customers expect two-way conversations, but 69% admitting they can’t respond fast enough.
Advertising in AI is a trust experiment marketers can’t ignore
As AI platforms test advertising inside chat, the real risk isn’t revenue — it’s eroding the trust that makes AI useful in the first place.
How to future-proof your AI stack with data governance
Unified AI across sales and marketing sounds great — until misaligned consent and governance rules stop it in its tracks.
Content marketing jobs are splitting in two
A Semrush study of 8,000 job listings shows content roles polarizing between hands on creators and senior growth owners.