Overview

In 2026, the evolution of generative AI is fundamentally changing how landing pages get built. Until now, "crafting a single LP meticulously and going to battle with it" was the norm—but today the mainstream approach is becoming "rapidly mass-producing multiple LPs and quickly finding the winning pattern through A/B testing."

An era has arrived in which testing speed itself is the source of competitive advantage.

But when you actually try to use generative AI to speed up LP mass production and A/B testing, aren't you running into challenges like these?

• "AI can output LP copy, but I haven't built a flow for revisions and variation rollout"
• "I don't know how to manage the mass-produced LPs or design the A/B tests, so I end up sticking with a single one"
• "I'm using generative AI, yet LP production effort hasn't dropped as much as I expected"

Speeding up A/B testing through LP mass production takes more than just using a tool. Only once you have a flow design that runs "mass-produce → revise → test → improve" end-to-end do you get the result of tripling your testing speed.

In this seminar, we'll fully unveil the latest flow that runs LP mass production, revision, and A/B testing end-to-end using generative AI. Which flow to use to mass-produce LPs, how to revise and roll out variations, and how to feed A/B test results into the next round of improvement—we'll walk you through the latest 2026 practical methods, step by step.

What You'll Learn

① The big picture of a flow for rapidly mass-producing LPs with generative AI

We explain concretely a flow for rapidly rolling out multiple variations from a single base LP and polishing them to a level usable in A/B testing.

② How to use generative AI to streamline revisions and variation rollout

We'll share how to revise and mass-produce rapidly while preserving quality, varying your messaging angles, targets, and creative approaches.

③ Designing a management and improvement cycle that triples A/B testing speed

We unveil an LP management, analysis, and initiative-reflection cycle for quickly connecting test results to the next round of improvement, together with a flow that is actually working.

Who Should Attend

• Marketers who feel LP production speed is a challenge and want to run more A/B tests
• Anyone who has tried generative AI but can't escape manual work because they haven't built a flow for LP mass production and revision
• Anyone who wants to break away from relying on a single LP and build a data-driven improvement cycle

Rather than relying on a single LP, you triple your testing speed by running mass production, revision, and A/B testing end-to-end with generative AI—this seminar shares that concrete flow and design, along with the latest examples. We look forward to having you join us!