The B2B buying landscape has shifted. With 70% of buyers being Gen Z/Millennials and 94% using LLMs for information, marketing must evolve. The key is creating content from trusted, expert voices that LLMs will value and surface during the buyer's research phase, making it a new form of SEO.

Don't rely on LLMs for core positioning. They are trained on public data and can't know who your sales team actually competes against in deals or the nuanced "status quo" alternatives customers use. This internal, non-public context is the essential starting point for effective positioning.

LLMs aggregate existing information, making them ineffective for original analysis but excellent for quickly understanding the generic, consensus view on a topic. This allows traders to frame what the market is thinking and either trade with that momentum or take a contrarian position.

Instead of generating a quick answer, ask ChatGPT to use "Deep Research Mode." This prompts the AI to create a research plan, consult and cite multiple external sources, and deliver a more thorough, consultant-quality report, adding rigor to AI-generated insights.

G2's research shows a dramatic acceleration in AI adoption for B2B purchasing. The percentage of buyers starting their journey with an LLM surged from 29% to 50% in just four months. This signals a fundamental, non-negotiable shift in buyer behavior that marketing strategies must immediately address.

Go beyond using AI for data synthesis. Leverage it as a critical partner to stress-test your strategic opinions and assumptions. AI can challenge your thinking, identify conflicts in your data, and help you refine your point of view, ultimately hardening your final plan.

A powerful and simple method to ensure the accuracy of AI outputs, such as market research citations, is to prompt the AI to review and validate its own work. The AI will often identify its own hallucinations or errors, providing a crucial layer of quality control before data is used for decision-making.

The most effective way to use AI is not for initial research but for synthesis. After you've gathered and vetted high-quality sources, feed them to an AI to identify common themes, find gaps, and pinpoint outliers. This dramatically speeds up analysis without sacrificing quality.

LLMs dramatically accelerate market research but are non-deterministic and lack real-world grounding. Their true value is preparing for customer conversations—crafting questions, understanding market history, and practicing listening. They augment human judgment, they don't replace it.