---
title: How to Do AI Market Research on a Competitor in an Afternoon
description: "A four-hour method for AI market research on one competitor: what to feed the tool, prompts that get specifics, and how to check every source it cites."
image: https://ai-marketinglabs.com/hubfs/How%20to%20Do%20AI%20Market%20Research%20on%20a%20Competitor%20in%20an%20Afternoon.jpg
---

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# How to Do AI Market Research on a Competitor in an Afternoon

![Kelly Kranz](https://ai-marketinglabs.com/hubfs/1c8a298050a84a029fa51a6945685d90.png)

Kelly Kranz

Nov 10, 2026

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To do AI market research on a competitor in an afternoon, give an AI research tool four things that competitor has published: their website, their reviews, their job posts and their pricing or offer pages. Ask it specific questions about what they charge, who they're chasing and where customers say they fall short. Then check every claim against the page it cites before you act on any of it. Four focused hours gets you a useful picture of one competitor. It won't get you their margins.

**TL;DR**

- Decide the one decision the research is for before you open the tool.
- Job posts and middling reviews tell you more than the homepage.
- Click every citation. A source that doesn't say what the AI claims is a cut.

## What should you know by the end of the afternoon?

Start with the decision, not the competitor. "Should we match their payment plan?" or "Are they moving into our area?" gives the research an edge. "Tell me about Acme" gives you a brochure.

Then pick four questions you want answered by five o'clock:

- **What do they charge, and how do they package it?** Tiers, minimums, what's included, what costs extra.
- **Who are they going after?** The customers their pages, case studies and ads speak to.
- **What do their customers complain about?** The pattern in their reviews, not the one angry outlier.
- **Where are they putting money next?** New roles, new locations, new services.

## What do you feed the AI?

Only what the competitor and their customers have put in public. Paste the pages in or give the tool the links, depending on what it can read. Still choosing a tool? Here's [how to pick an AI for research without paying for a research platform](https://ai-marketinglabs.com/lab-experiments/the-best-ai-for-market-research-when-you-cant-pay-for-a-research-tool).

- **Their site:** the homepage, every service or product page, pricing, and the about page.
- **Their reviews:** Google, plus whichever review sites matter in your field. Copy the two- and three-star reviews too. They tend to be the specific ones.
- **Their job posts:** one of the more honest documents a company publishes. A business hiring three salespeople and a second dispatcher is telling you its plan.
- **Their ads and social posts** from the last few months, if you can see them.

Keep it to one competitor per session. Three at once is how you end up with a table of vague adjectives.

## How do you run the afternoon, hour by hour?

1. **Hour one, gather.** Collect the pages above into one document or one chat. Note the date you pulled each one.
2. **Hour two, ask.** Work through your four questions one at a time, in the same conversation, so the AI builds on what it already has.
3. **Hour three, check.** Open every source behind every claim you plan to use (more on this below).
4. **Hour four, decide.** Write half a page: what you found, what you're confident in, and what you'll do about it.

## Which prompts get specific answers?

Ask for evidence, not opinions. A few that work:

- "From their pricing and service pages, list every package, what's included, and the price if it's shown. Mark anything you inferred rather than read."
- "Group these reviews by complaint. For each group, quote two reviews word for word and tell me how many reviews fall in it."
- "From these job posts, what roles are they hiring, in which locations, and what does that suggest about their next year? Separate what the posts say from your guess."
- "Where does their offer overlap ours, and where would a buyer pick them over us?" Paste your own service page first.

The "separate what it says from your guess" line matters. It makes the tool show its work, and it gives you something to check.

## How do you check what the AI found?

Treat the AI's summary as a draft from a new hire: useful, fast, and in need of a second look. Citations from AI search tools are often wrong. When the Tow Center for Digital Journalism at Columbia University tested eight AI search tools on news excerpts, "Across the 1600 test queries, the search engines failed to retrieve the correct information more than 60% of the time" ([Nieman Lab](https://www.niemanlab.org/2025/03/ai-search-engines-fail-to-produce-accurate-citations-in-over-60-of-tests/)). That test was about finding news sources, not competitors, but the habit it calls for is the same.

For every claim you'll act on:

- Click the cited page and find the sentence that supports it.
- If the page doesn't say it, or the link goes nowhere, cut the claim.
- If the tool couldn't find a source, it should say so rather than leave a gap for you to fill. Tell it that up front.
- Watch the dates. A price page from last year is last year's price.

## What can't AI tell you about a competitor?

Anything they haven't published. Their real close rate, their margins, the discount the sales team gives in the last week of the quarter. AI will sometimes fill those gaps with confident guesses, which is exactly why the checking hour exists.

Two lines not to cross. Don't pose as a customer to get a quote unless you're willing to tell them who you are. And don't paste anything into an AI tool that a customer or partner gave you in confidence.

## What do you do with the findings?

Make the one decision you started with. Then save the half page and the sources, so next quarter's check takes an hour instead of an afternoon.

If you'd rather build a repeatable research setup with someone experienced alongside you, AI Marketing Labs runs [The Lab](https://ai-marketinglabs.com/the-lab): three live sessions a week building real systems end to end, plus office hours for the parts that get stuck.

Two places the research often leads. If competitors keep showing up when buyers ask AI and you don't, here's [why a competitor gets more AI search visibility than you](https://ai-marketinglabs.com/lab-experiments/why-a-competitor-gets-more-ai-search-visibility-than-you). If you want to know what buyers ask before they pick anyone, start with [the questions buyers ask AI before choosing a vendor](https://ai-marketinglabs.com/lab-experiments/how-do-you-find-the-questions-buyers-ask-ai-before-choosing-a-vendor).

## Related articles

- [The Best AI for Market Research When You Can't Pay for a Research Tool](https://ai-marketinglabs.com/lab-experiments/the-best-ai-for-market-research-when-you-cant-pay-for-a-research-tool)
- [Why a Competitor Gets More AI Search Visibility Than You](https://ai-marketinglabs.com/lab-experiments/why-a-competitor-gets-more-ai-search-visibility-than-you)
- [How Do You Find the Questions Buyers Ask AI Before Choosing a Vendor?](https://ai-marketinglabs.com/lab-experiments/how-do-you-find-the-questions-buyers-ask-ai-before-choosing-a-vendor)

## Frequently asked questions

Is it legal to research competitors with AI?

Researching what a competitor has published is ordinary market research. Stay with public pages, and don't misrepresent who you are to get information they wouldn't give you.

Which AI tool should I use for competitor research?

One that searches the web and links each claim to its source, so you can check it. The assistant you already pay for may do the job.

How often should I repeat competitor research?

Once a quarter is a sensible default, or sooner if a competitor changes prices or opens nearby. Reusing your saved prompts and sources makes the repeat quick.

 

 Research on your list?

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![Kelly Kranz](https://ai-marketinglabs.com/hubfs/1c8a298050a84a029fa51a6945685d90.png)

Written by

Kelly Kranz

With over 15 years of marketing experience, Kelly is an AI Marketing Strategist and Fractional CMO focused on results. She is renowned for building data-driven marketing systems that simplify workloads and drive growth. Her award-winning expertise in marketing automation once generated $2.1 million in additional revenue for a client in under a year. Kelly writes to help businesses work smarter and build for a sustainable future.

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