How AI Writing is Changing Demand Generation

GPT-3 powered applications are everywhere, but most produce copy that actually reduces conversion rates rather than improving them.

The Promise and Pitfalls of AI Writing

AI writing tools have exploded in popularity, but not all AI-generated content is created equal. May and Mark examine the real-world implications of using AI for demand gen copy, including why generic AI content often underperforms human-written alternatives.

Custom AI vs. Generic AI

The key differentiator is whether AI writing solutions are built and trained on your own content and copy, or whether they produce generic output from broad training data. Custom AI writing tools that learn your brand voice, messaging, and style deliver meaningfully better results.

AI Writing That Converts

Learn how to evaluate AI writing tools for demand generation, when to use AI-generated copy versus human-written content, and how to build workflows that combine the speed of AI with the strategic thinking of experienced marketers.

How to use this resource in evaluation

Use How AI Writing is Changing Demand Generation | DEMAND Conference as a working prompt for your buying committee, not as a standalone takeaway. The useful question is how the idea turns into governed campaign execution: which accounts are included, which contacts are reachable, which channels carry the message, which budget controls apply, and how results are reviewed after launch.

Bring the resource into a demo or internal planning session and ask each owner to inspect a different layer. Demand generation should review the audience and offer logic. RevOps should inspect CRM, marketing automation, and reporting flow. Sales should confirm whether the campaign creates context they can act on. Finance should ask how spend, conversion quality, opportunity creation, and pipeline are connected before budget expands.

• Audience fit: define the exact account, contact, customer, or intent segment this idea should reach.
• Campaign controls: confirm approvals, exclusions, budget limits, creative variants, and launch readiness before spend starts.
• Measurement path: decide which leading indicators matter early and which pipeline outcomes matter before scaling.
• Next action: turn the concept into one reviewed campaign object, one owner, and one follow-up date.

The strongest walkthrough should make the resource concrete: a campaign plan, visible guardrails, and a reporting path that a revenue team can inspect without relying on native ad-platform summaries alone.