Generative AI Planning for Marketers | How to Run Everything from Competitor Research and Messaging Design to Winning Creative Production at One-Fifth the Effort
Overview
"Research the competition, decide on your messaging, and organize it all the way through to a creative plan"—how many hours do you pour into this sequence every single week?
Manually screenshotting competitors' ads, transcribing messaging patterns into a spreadsheet, debating "which message will land"—and only then finally settling on a creative direction. It's hardly unusual for this planning flow to take nearly a full week. But the assumption that the entire flow is "work that must be done by hand" is one we need to reexamine in 2026.
In fact, we often hear things like:
- "We spend so much time on competitor research that it takes far too long to move on to creating the actual creative…"
- "Every time we decide on a messaging direction the debate drags on, and in the end we usually decide by gut feel…"
- "We tried using generative AI for competitor analysis, but we didn't know how to turn it into actual output, so it stalled halfway…"
As long as you use generative AI as a standalone "look-it-up" tool, there's a hard limit to how much you can cut your workload. Instead, you design competitor research, market analysis, messaging design, and creative planning as one end-to-end flow, and embed generative AI into each step. Make this structural shift, and a planning process that used to take five days compresses into a single day.
In this seminar, a marketer who actually runs this flow in day-to-day work will explain, in concrete terms, the design and hands-on know-how for taking everything from competitor research to winning creative planning and running it at one-fifth the effort.
What You'll Learn
① A practical flow for accelerating competitor research and market analysis with generative AI
We'll share the concrete design and steps for replacing manual work with a generative AI flow across collecting, organizing, and extracting patterns from competitors' ads—right down to "which prompt" and "what to have it output."
② An approach to AI that connects research findings directly to messaging design
We explain a thinking framework for organizing your target's pains and gains from the competitor and market data you've gathered, deriving messaging angles that land—and how to build AI into it.
③ The overall design of a workflow that runs end-to-end from messaging design to creative planning
We'll walk you through the steps and key points for designing "competitor analysis → messaging → creative direction" as a single continuous flow, completing your planning at one-fifth the effort.
Who Should Attend
- Anyone who feels that competitor research and messaging design eat up too much time, making creative planning speed a bottleneck
- Anyone who has started using generative AI but can only apply it in isolated spots because they don't know how to build it into the full research and planning flow
- Marketers who want to systematize a person-dependent planning flow of "vaguely looking at competitors and deciding on messaging"
- Anyone looking for a way to dramatically cut planning effort in order to achieve both volume and quality in ad creative
This seminar lays out concretely the practical flow for running everything from competitor research to messaging design and creative planning end-to-end with generative AI. We look forward to having you join us.