
Last updated: April 13, 2026
Marketing thought leader Jon Miller regularly talks about how the traditional B2B go-to-market playbook is no longer effective in today's evolving landscape. The traditional "relay race" approach, which relies heavily on SDR teams and linear marketing-to-sales handoffs, is failing to generate sufficient pipeline and leading to high CMO turnover rates.
To succeed today, CMO thought leaders like Miller are arguing that B2B marketers must instead embrace a new playbook that leverages the power of AI-driven tools to personalize content at scale, automate processes, and drive measurable results. Here’s how he thinks it can be done.
Email remains a critical channel for B2B marketers, but the old approach of generic, sales-focused pitches is no longer effective. To engage today's buyers, marketers must shift to AI-driven, personalized emails that focus on education and value. AI-powered content generation capabilities can help by automatically creating personalized email content at scale tailored to specific personas, industries, and accounts, ensuring that your messaging resonates with each individual recipient.
AI-powered tools can help B2B marketers automate key processes, from content creation to lead nurturing, enabling a single operator to outperform traditional SDR teams by 10X. By leveraging AI capabilities to generate personalized content at scale, marketers can focus on high-value activities like strategy and relationship-building, while still delivering the tailored experiences that today's buyers demand.
For the 95% of your target audience that isn't actively in-market, building brand awareness and emotional connections is essential. AI-powered content tools can help by enabling marketers to quickly and easily create compelling, branded content across multiple formats, from ebooks to landing pages, ensuring that your brand remains top-of-mind and emotionally resonant with your target audience, no matter how diverse.
To succeed in the new B2B landscape, marketers must build their own audiences and communities with content so engaging that people will actively subscribe. AI-powered content generation capabilities can help by enabling marketers to quickly create high-quality, personalized content that resonates with their target audiences, driving engagement and building lasting relationships.
As B2B buyers increasingly prefer online, self-service purchasing, marketers must adapt by providing informative, educational content that empowers buyers to make informed decisions. AI tools like Tofu can help by automatically generating personalized content assets, from product guides to case studies, that enable buyers to self-educate and move through the purchasing process at their own pace.
Traditional marketing automation platforms were built for the old B2B playbook, but succeeding in the new landscape requires AI-powered tools. By leveraging AI’s content generation and personalization capabilities, marketers can create tailored experiences at scale, automate key processes, and drive measurable results, all while freeing up time and resources to focus on strategy and relationship-building.

A comparison of the top AI tools for multi-channel B2B marketing campaigns in 2026, including Tofu, Mutiny, UserLed, Jasper, Copy.ai, and ChatGPT, evaluated on channel coverage, personalization, and automation.

Tofu, an AI-native B2B marketing platform, vs. ChatGPT for marketing: Tofu delivers full-funnel campaign execution with multi-channel personalization, while ChatGPT is a general-purpose writing assistant with no marketing workflow features.

Tofu, an AI-native B2B marketing platform, vs. Copy.ai: Tofu generates full personalized campaign assets across channels from one platform, while Copy.ai focuses on fast, template-driven GTM copy generation for individuals and small teams.

Tofu, an AI-native B2B marketing platform, vs. Jasper: Tofu orchestrates personalized multi-channel ABM campaigns from one platform, while Jasper is a fast AI writing assistant for standalone content like blog posts and ads.

Tofu, an AI-native B2B marketing platform, vs. Mutiny for ABM: Tofu orchestrates personalized campaigns across email, web, ads, and social from one platform, while Mutiny specializes in website personalization and landing page optimization for target accounts.
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Tofu, an AI-native B2B marketing platform, vs. UserLed for ABM: Tofu delivers full-stack personalized content and multi-channel campaign orchestration, while UserLed focuses on rapid microsite and ad personalization for target accounts.

Just-in-time communication replaces outdated sequences by using real-time signals and AI to deliver timely, relevant, and personalized outreach across channels to improve engagement, reduce wasted effort, and focus on meaningful interactions over spam.

In 2024, we spoke with 14 of the best B2B CMOs and CROs. Here are their best tips, tactics, and guides to managing your GTM as you plan for 2025.

Webinars have re-emerged as a top B2B lead generation channel, with 73% of marketers calling them the best source of high-quality leads. Learn how AI-native platforms like Tofu automate the entire webinar lifecycle from promotion to post-event follow-up.
A playbook for 1:1 marketing in the AI era
"I take a broad view of ABM: if you're targeting a specific set of accounts and tailoring engagement based on what you know about them, you're doing it. But most teams are stuck in the old loop: Sales hands Marketing a list, Marketing runs ads, and any response is treated as intent."
"ABM has always been just good marketing. It starts with clarity on your ICP and ends with driving revenue. But the way we get from A to B has changed dramatically."
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"ABM either dies or thrives on Sales-Marketing alignment; there's no in-between. When Marketing runs plays on specific accounts or contacts and Sales isn't doing complementary outreach, the whole thing falls short."
"In our research at 6sense, few marketers view ABM as critical to hitting revenue goals this year. But that's not because ABM doesn't work; it's because most teams haven't implemented it well."
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"To me, ABM isn't a campaign; it's a go-to-market operating model. It starts with cross-functional planning: mapping revenue targets, territories, and board priorities."

"With AI, we can personalize not just by account, but by segment, by buying group, and even by individual. That level of precision just wasn't possible a few years ago."
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This comprehensive guide provides a blueprint for modern ABM execution:
8 interdependent stages that form a data-driven ABM engine: account selection, research, channel selection, content generation, orchestration, and optimization
6 ready-to-launch plays for every funnel stage, from competitive displacement to customer expansion
Modern metrics that matter now: engagement velocity, signal relevance, and sales activation rates
Real-world case studies from Snowflake, Unanet, LiveRamp, and more
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