Market research used to be a five-figure invoice and a three-week wait. A team of analysts, a stack of PDFs, and a polished slide deck that nobody opened twice. That whole math just broke this year, and most people still haven't caught up.

Reporting from The Information lays out how marketers now treat Google Gemini as a working research analyst instead of a glorified email drafter. They hand it a specific product and a target audience, then walk it through market sizing, competitor scans, persona building, and a full campaign plan. Work that once ate days of manual grinding now folds into a single focused afternoon of prompting.

What struck me is how little you actually need to start: a Google account with Gemini access and a handful of sharp questions. No data team, no agency retainer. The rest of this breaks down seven chained prompts that carry you from a blank page to a campaign plan you can run this week without hiring anyone.

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Start with a razor-sharp definition

The whole chain lives or dies on your first input. Vague in, vague out. The creator's opening move is a single prompt: tell Gemini exactly what you sell and who you sell it to, then ask for market size, growth trends, key segments, and the top three buyer pain points.

Here's why I lead with this: everything downstream inherits the foundation. Get the market definition fuzzy and the personas drift, the messaging misses, and the plan wobbles. Sharp foundation, sharp everything.

Turn the competitor scan into an angle

Next comes mapping the field. The prompt asks Gemini to list the main competitors and, for each one, summarize positioning, pricing approach, and the biggest weakness a challenger could exploit.

That last question is the gold. A plain competitor list is trivia; a list of exploitable weaknesses is a strategy. You are not cataloging rivals, you are hunting for the gap you can own.

One caution the author flags: verify names and prices yourself. Gemini can be confident and wrong. Treat every output as a first draft, never gospel.

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Find the white space, then build real people

With market and competitors on the table, the contributor chains a third prompt asking, based on everything above, for three underserved segments or unmet needs. This is the hinge where research becomes strategy.

Then it gets human. The next step turns the best segment into two detailed buyer personas covering demographics, goals, objections, and where they spend time online. Personas keep messaging honest, because once you know the objection you can answer it before the buyer even says it out loud.

Picture selling project software to freelancers. The gap prompt might surface solo consultants who need invoicing baked in, a niche the big all-in-one tools ignore. That single sentence can redirect an entire campaign.

Draft the plan, then make it argue with itself

Now the payoff. With the groundwork done, the specialist asks for a 30-day campaign plan covering channels, key messages, content ideas, and a rough weekly schedule.

It won't be perfect, and that's fine. A skeleton you can cut and reorder beats a blank page every time.

The move I like most: making the model attack its own work. Ask for five ad headlines, then tell Gemini to critique each one and rank which will perform best and why. Turning the tool into its own harshest editor surfaces weak lines before you spend a cent on distribution.

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Why chaining beats one giant prompt

One detail separates this from typical prompting: each step feeds the next. The competitor scan reads the market analysis, the gap-finder reads both, and the personas read the gaps. You keep one conversation running instead of starting fresh each time.

That context stacking is the real mechanism. A cold prompt gives generic answers; a prompt that already knows your market, your rivals, and your white space gives answers shaped to your exact situation. The quality compounds with every turn.

Skip the chaining and you lose the whole advantage. Ten disconnected prompts give you ten shallow answers. One threaded conversation gives you a strategy.

Chaining is easy to nod at and hard to do unprompted, because the habit lives in the handoff, not the first question. The gemini track in 3 Minute AI is built for exactly that: a three-minute lesson, then a lab chat where you run the prompt yourself instead of reading about it. Daily lessons and two full courses are free, so the ask is smaller than your first prompt.

Speed is not a license to skip judgment

Here's the line that keeps you out of trouble: Gemini speeds up the thinking, it doesn't replace your judgment. Cross-check market figures, competitor claims, and pricing against live sources before you commit budget.

Why it matters lands here. This collapses a workflow that once belonged to agencies and analysts into something a one-person team can run in an afternoon. The edge no longer goes to whoever can afford the research; it goes to whoever asks the sharpest questions.

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Run the first prompt today

Pick one real product you sell and run just the first prompt today, forcing Gemini to write a razor-sharp, one-sentence definition of who it serves.

When you are ready to run all seven steps end to end, the full seven-prompt workflow walks you through each handoff so nothing falls apart between steps.

Worth 10 minutes if you want one practical next step instead of another blank page and a week of guessing.

Hit reply and tell us why.