B2B Demand Generation: Strategies, Tools, and How to Build a Pipeline That Converts in 2026
B2B demand generation is the strategic process of creating awareness and interest in a product or service among target accounts, then nurturing that interest into qualified pipeline. Unlike lead generation, which focuses on capturing contact information, demand generation builds long-term brand preference and buying intent across the full funnel. Effective B2B demand generation in 2026 combines account-based targeting, AI-powered content personalization, and multi-channel campaign orchestration to engage entire buying committees. Tofu, the AI-native B2B marketing platform, enables marketing teams to execute demand generation programs at scale by automating content creation, personalizing outreach for hundreds of accounts simultaneously, and orchestrating campaigns across email, ads, social, and web from a single platform.
.svg)
How to Integrate AI Marketing Personalization into Your Campaigns
AI marketing personalization is the practice of using machine learning, predictive models, and generative AI to tailor campaign content, timing, and channel selection to individual buyer profiles across email, web, ads, and sales touchpoints. Effective integration requires unified customer data, a clear KPI framework, the right orchestration tools, and governed automation that scales without sacrificing brand consistency. Tofu, the AI-native B2B marketing platform, combines customer data activation with generative AI content creation and multi-channel campaign orchestration, enabling teams to deploy personalized nurture flows at scale while maintaining on-brand guardrails. When properly implemented, AI personalization can lift email open rates by up to 50% and reduce campaign management time by 50 to 60%, according to independent analyses of leading personalization tools.
The 7 Best AI Agents for Marketing in 2026
Not every valuable AI marketing tool operates as a true "agent." Some of the most impactful platforms, including Tofu, function as AI-powered automation systems that combine intelligent content generation with campaign orchestration. The line between agents and automation is blurring, and what matters most is getting personalized campaigns to market faster with fewer resources.
Agentic Demand Gen: How to Grow Your B2B Pipeline in 2026 with AI
Agentic demand generation uses autonomous AI agents to plan, execute, and optimize demand gen programs end to end, replacing manual campaign workflows with systems that detect buyer signals, personalize outreach, and orchestrate multi-channel campaigns without constant human intervention. Unlike traditional marketing automation that follows static rules, agentic demand gen adapts in real time, continuously refining targeting, content, and timing to compress deal cycles and increase qualified pipeline. Platforms like Tofu, the AI-native B2B marketing platform, combine content generation with campaign orchestration to operationalize agentic demand gen at scale for mid-market and enterprise B2B teams.
.png)
Hyper Personalization in B2B Marketing: AI Campaigns at Scale
Hyper-personalization in B2B marketing uses artificial intelligence and real-time data to deliver individualized content to each target account.
Generative Marketing in 2026: Definition, Best Tools, Use Cases, and Predictions
Generative Marketing is the practice of using AI to generate, personalize, and automatically deploy marketing assets and campaigns across channels. Learn about trends, tools and tips for Generative Marketing in 2026.
.png)
Cheat Sheet for B2B Content in the AI Era: Insights from content execs at Microsoft, Salesforce, Gong, Clari and Tofu
.png)
GTM in the Tofu Bowl with David Yockelson
In a recent episode of GTM in the Tofu Bowl, Elaine Zelby sat down with David Yockelson, Distinguished VP Analyst and Fellow at Gartner, to explore how artificial intelligence is reshaping the world of go-to-market strategy. Yockelson—who has spent decades at the intersection of marketing, product strategy, and technology—shared his perspective on AI’s role in account-based marketing, the evolution of agentic workflows, and what organizations get right (and wrong) when deploying AI in their go-to-market motion
