top of page
Business meeting

POST

Search

How to Use AI Tools to Research Competitors in a New Market

sonali negi
12 hours ago
5 min read
How to Use AI Tools to Research Competitors in a New Market
How to Use AI Tools to Research Competitors in a New Market

Entering a new market without knowing who is already there is expensive. Competitor research shows you what customers can already buy, how brands speak to them, and where the gaps are.


Doing this properly in an unfamiliar country used to mean weeks of manual work, local contacts, and sometimes a dedicated research budget. AI tools have made the first pass faster and cheaper. They do not replace judgment, but they help you reach better questions sooner.


This guide walks through a practical process Canadian businesses can follow, along with the checks you need to keep the research reliable.


Start With the Right Question

AI tools can produce a lot of information very quickly, and more information is not the same as better decisions. Before you open any tool, write down the decisions this research needs to support.


Typical examples include whether the market is worth entering, how to position your offer, which platforms to prioritise, and what price range customers expect. Pick three to five questions. Every step below should feed one of them.


Step 1: Build Your Competitor List

Most businesses only look at direct competitors. A fuller list covers three groups:

  • Local brands that sell something similar to the customers you want.

  • International brands already operating in that market.

  • Substitutes, meaning other ways customers solve the same problem.


An AI assistant is useful for brainstorming names and categories. Treat its answers as leads, not facts. AI tools can invent companies or mix up details, so confirm that every business on your list exists by checking its website, local directories, and a normal search.


Step 2: Map Their Digital Footprint

Next, record where each competitor shows up. Note their website and the languages it offers, the social platforms they use, any marketplaces where they sell, and how they appear in the search engines people actually use locally. In some markets, that is not Google.


AI tools can help you summarise a site’s structure, its main offers and the way its pages are organised. A simple table works well, with competitors in rows and channels in columns. Gaps in the table often reveal opportunities. If nobody is active on a platform your audience uses, that is worth noting.


Step 3: Analyse Messaging and Content

Collect samples of homepage copy, social posts, videos and product descriptions from each competitor. Then use an AI tool to group what you find into themes such as promises, tone of voice, proof points, and calls to action.


Compare the results across competitors. Two patterns matter most. The first is what everyone says, because it is hard to stand out by repeating it. The second is what nobody says, because that may be your opening.


Step 4: Study Their Ads and Offers

Several platforms publish ad information publicly. The Meta Ad Library and the Google Ads Transparency Center let you see which ads a business is currently running. You can review formats, messages, offers, and how long certain ads have been live.


An ad that has run for a long time may be working, but that is a signal rather than proof. Use AI to cluster ads by message or offer type, then look for the approaches that appear again and again.


Step 5: Listen to Customers

Reviews, marketplace ratings, forum threads and social comments show what customers think of your competitors in their own words. AI tools can summarise large volumes of this feedback and highlight recurring praise and recurring complaints.


Complaints are especially useful. A frustration that appears across many competitors points to an unmet need you could address.


Keep the limits in mind. Reviews can be skewed toward extreme opinions, and some are not genuine. Look for patterns across several sources rather than relying on one.


Step 6: Check Language and Culture

AI translation is a good first pass, and it makes research in an unfamiliar language possible. It can still miss tone, idioms, and cultural meaning, which matter a great deal in marketing.


Before you make decisions based on translated material, ask a native speaker to review the key findings. Ask them what the messaging feels like to a local reader, what feels trustworthy and what feels foreign. This step is short and prevents costly misreadings.


Step 7: Turn Findings Into Decisions

Research only helps if it ends in a decision. Pull everything into a one-page summary that answers the questions you wrote at the start. A useful summary covers:


  • Who is already serving this market, and how they position themselves

  • Where the gaps are

  • What customers praise and complain about

  • Which platforms deserve priority

  • The risks you have spotted, including regulatory ones

  • What you would test first


Share it with the people who will make the entry decision, and keep the source links so anyone can check a claim.


Keep Your Research Reliable

AI speeds up the work, but you remain responsible for accuracy. A few habits make a big difference.


Verify before you rely. Check important facts against original sources. Treat AI output as a draft.


Record the date. Markets change quickly. Note when each piece of information was collected.


Respect platform rules and privacy law. Use tools and data in line with each platform’s terms. If your research touches personal data, confirm the local rules first. Data protection laws differ by country.


Protect confidential information. Check the data settings of any AI tool before you paste in internal documents or plans.


A Simple Two-Week Plan

You do not need a long programme to get started.


Week one: Write your questions, build the competitor list, map digital footprints, and collect messaging samples.

Week two: Review ads, summarise customer feedback, have a native speaker check the key points, and write the one-page summary.


After two weeks, you will know far more than you did before and have a clear idea of what to test.


How Contivos Digital Can Help

Competitor research is one input into a wider market entry foundation. At Contivos Digital, our Foundation tier covers the groundwork that comes before launch, including market readiness, localised brand voice, compliant channel setup and a measurement baseline tied to business outcomes. Launch, Growth and Enterprise build on that foundation, all run through one operating model with one team accountable for the result.


Final Thoughts

AI tools make competitor research faster and more accessible, which is good news for Canadian businesses exploring new markets. The value comes from asking clear questions, checking what the tools tell you, and turning findings into decisions.


If you are planning international expansion and want help building a solid starting point, visit digital.contivos.com.

 
 
 

Comments


bottom of page