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Build a Research Agent for Your Market

A step-by-step playbook to build an AI research agent that briefs you on your market, competitors, and customer language every week, with prompts to copy.

Marketing Engineering Playbook intermediate 6 steps 10 min read

The short version

  • A research agent is a standing brief, not a search session. You define the questions once, point the agent at a source list, and get a one-screen intelligence brief on a schedule instead of researching from scratch every time.
  • The build is judgment plus plumbing: decide what you always need to know, list where the answers live, then chain a collector prompt, a synthesis prompt, and a verify pass.
  • The verify pass is not optional. An unchecked research brief with one invented stat is worse than no brief, because you will repeat it with confidence.
  • Solo operators get the most out of this. No analyst, no engineering team, one supervised loop that feeds every piece of content and positioning you write.

Most solo marketers do market research the same way: a burst of tabs before a big decision, then nothing for months. The research is real, but it evaporates. Nothing is written down in a comparable format, so next quarter starts from zero again.

A research agent fixes the system. You define the questions once, point the agent at sources you chose, and get a short verified brief on a schedule. The agent does the collection and the first synthesis. You keep the judgment: what matters, what to believe, and what to do about it.

This is a build for one person. No analyst, no data team, no engineering. If you can maintain a list and read one page a week, you can run it.

Why a standing brief beats burst research

Your buyers are researching constantly whether you are or not. The 6sense B2B Buyer Experience Report found buyers do most of their evaluation before they ever contact a vendor, which means the conversations shaping your deals are happening in places you are not looking. A weekly brief is how one operator keeps eyes on those places without living in them.

The gap this closes is the same one reshaping marketing roles overall. The State of Martech 2026 report found 90 percent of marketing teams use AI agents in some capacity while only 23 percent run them in production. A research agent is one of the fastest paths across that gap, because the loop is small, the output is visibly useful, and nobody’s brand voice is at risk while you learn. It is exactly the kind of system a marketing engineer builds first, and it maps to step four of the 90-day career path.

Evidence rules are what make it trustworthy

The difference between intelligence and noise is sourcing discipline. Buyers reward companies that publish informed points of view, a pattern the Edelman and LinkedIn B2B thought leadership research has tracked for years, and an informed point of view starts with knowing what is actually happening in your category rather than repeating what everyone else says.

That is why the collector prompt demands quotes and links, and why the verify pass exists at all. An AI assistant will occasionally produce a confident number with no source behind it. Caught, that costs you a line in a brief. Uncaught, it becomes a stat you repeat in a sales call. The verify pass is the review gate of this system, the same discipline covered in review AI content like a manager, applied to research instead of copy.

The build, step by step

Six steps below, each with a prompt to copy and adapt. Steps one and two are the judgment work, and they are yours. Steps three through five are the agent’s loop. Step six is what turns the brief into content angles and positioning calls instead of a well-organized file nobody opens.

Build it in order. You can run the whole thing manually the first week, then tighten the automation once the format proves itself.

Implementation

Build it
step by step.

  1. 01

    Define your standing questions

    A research agent is only as useful as the questions it holds. Write down the five to eight things you always need to know about your market, in priority order. These become the agent's permanent job description.

    Prompt 
    You are helping me define the standing research questions for my market.

My company: [ONE-LINE DESCRIPTION]
My buyer: [WHO THEY ARE AND WHAT THEY OWN]
My category: [THE SPACE YOU COMPETE IN]

Draft 8 standing research questions I should track every week, covering:
- Moves by alternatives my buyer might choose instead
- Shifts in how buyers describe the problem, in their own words
- New tools, integrations, or standards entering the category
- Pricing and packaging changes worth knowing
- Anything that would change my positioning if true

For each question, add one line on why it matters and what decision it feeds.
Rank them. I will cut to the top 5.

    Tip. Cut hard. Five questions the agent answers well beat fifteen it answers thinly. You can rotate questions in and out monthly.

  2. 02

    Build the source list

    Agents wander without a source list. Write down where the real signal lives for your market: the communities where buyers complain, the changelogs and release notes, the review sites, the job boards, the newsletters that break news first.

    Prompt 
    Build me a starter source list for weekly market research.

My category: [CATEGORY]
My buyer: [BUYER]
My standing questions: [PASTE FROM STEP 1]

List sources in these groups, with a one-line note on what each is good for:
1. Communities and forums where my buyers actually talk
2. Review sites where they compare options
3. Changelogs, release notes, and status pages worth watching
4. Job boards, as a signal of what companies in my space are building
5. Newsletters or industry publications that break category news first

Mark the 5 sources most likely to answer my standing questions. Skip anything
that is really just press releases.

    Tip. Job listings are an underrated source. What a company hires for tells you their roadmap earlier than their blog does.

  3. 03

    Write the collector prompt

    This is the agent's working instruction: visit the sources, hunt for answers to the standing questions, and bring back quotes and links, not summaries of summaries. Specific evidence in, or it does not count.

    Prompt 
    You are my market research agent. Run this week's collection pass.

Standing questions:
[PASTE FROM STEP 1]

Source list:
[PASTE FROM STEP 2]

For each source, look for anything that answers a standing question. For every
finding, capture:
- The claim, in one sentence
- A direct quote or number from the source
- The link
- Which standing question it answers
- A confidence note: reported fact, single anecdote, or speculation

Rules: no finding without a link. No paraphrasing opinion into fact. If a source
had nothing this week, say so in one line. Flat list, no narrative yet.

    Tip. Run the collector on a schedule, not when you feel like it. The value compounds weekly. A missed week is a hole in your market memory.

  4. 04

    Add the synthesis brief

    Raw findings are homework. The synthesis pass turns them into the one-screen brief you will actually read: what changed, what it means for you, and what to do about it.

    Prompt 
    Turn this week's research findings into a one-screen brief.

Findings:
[PASTE FROM STEP 3]

Last week's brief, for continuity:
[PASTE OR WRITE "FIRST RUN"]

Format:
1. THE HEADLINE: the single most important thing that changed this week, one sentence
2. WHAT CHANGED: 3 to 5 bullets, each with the source link
3. SO WHAT: for each change, one line on what it means for my positioning or content
4. DO NEXT: at most 2 concrete actions, or "nothing this week" if that is the truth
5. WATCHING: anything ambiguous worth tracking another week before acting

Keep it under 300 words. If nothing meaningful changed, a short honest brief
beats an inflated one.

    Tip. Force the 'nothing this week' option. An agent that always finds something urgent trains you to ignore it, which kills the whole system.

  5. 05

    Run the verify pass

    Before the brief counts, check it. Every number gets traced to its link, every quote gets spot-checked, and anything that fails gets cut or flagged. This is the step that makes the brief safe to repeat out loud.

    Prompt 
    You are a skeptical fact-checker. Verify the research brief below.

Brief:
[PASTE FROM STEP 4]

Original findings with links:
[PASTE FROM STEP 3]

For every claim in the brief:
1. Does it trace to a specific finding with a working link? If not, flag it.
2. Is the number or quote faithful to the source, or has it drifted in synthesis?
3. Is anything stated as fact that the finding marked as anecdote or speculation?

Return the brief with corrections applied, and a list of what you cut and why.
When in doubt, cut. A shorter true brief beats a longer maybe-true one.

    Tip. Run the verify pass in a fresh chat. A clean context checking the work catches drift that the writing context will defend.

  6. 06

    Schedule the loop and route the output

    Pick the day, wire the reminder, and decide where the brief lands: your notes, your team channel, wherever you plan the week. Then route it forward, because the brief's real job is feeding your content and positioning decisions.

    Prompt 
    Here is this week's verified market brief:
[PASTE FROM STEP 5]

Turn it into fuel for the week:
1. Two content angles this brief suggests, each with the buyer question it answers
2. Any positioning line I should test or retire, based on what changed
3. One thing to mention in sales or customer conversations this week
4. Anything here that changes what the research agent should watch next week

If the brief was quiet, say so and suggest nothing. Do not manufacture urgency.

    Tip. Same slot every week, right before you plan content. A brief that lands the hour before planning gets used. One that lands Friday afternoon gets archived.

Free bonus

The Research Agent Prompt Chain

The six prompts in this playbook get the loop running. This pack adds the pieces that make it sharper: the full chained prompt and a source list you do not have to build from scratch.

Common questions

Quick
answers.

What is an AI research agent?

An AI research agent is a repeatable workflow where an AI assistant checks a defined source list against standing questions and returns a verified brief on a schedule. It differs from a search session in that the questions, sources, and format are designed once and reused, so each run compounds instead of starting over.

Do I need special software or an engineering team to build one?

No. This playbook runs on a capable AI assistant with web access, a source list you maintain, and a weekly calendar slot. Tool-specific automation can come later. The design of the questions, sources, and verify pass matters far more than which tool executes it.

How is this different from just asking AI about my market?

A one-off question gets a one-off answer with no memory and no quality gate. The agent's value is in the standing structure: consistent questions, a curated source list, evidence rules, and a verify pass. That structure is what turns AI output into intelligence you can safely act on and repeat.

How much time does the weekly loop take?

After setup, most operators spend 20 to 30 minutes a week: a few minutes to kick off the collection, and the rest reading and verifying the brief. Setup itself, the questions and source list, is an afternoon of focused work that the agent then reuses every week.

Where to next

Build it, or
have it built.

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