Keeping track of competitor websites can be time-consuming, particularly when you are monitoring several businesses across different markets. Prices change, new promotions appear, products go out of stock, and companies update their service offerings. Unless someone checks regularly, these changes can easily go unnoticed.
AI and browser automation can make this process easier. Instead of manually visiting each website and comparing information, you can use automated browser sessions to collect specific data at regular intervals and AI assistants to identify changes and summarise the findings.
For agencies monitoring competitors in different countries, browser profiles add another layer of consistency. By combining Incogniton's isolated browser profiles, location-specific proxies, and AI tools such as Claude, you can build a repeatable workflow for checking competitor websites from different market locations.
This guide explains how these tools work together and how to set up a practical competitor monitoring workflow.
TL;DR
- Incogniton browser profiles and location-specific proxies help agencies monitor how competitor websites appear to visitors in different markets.
- AI assistants such as Claude can work with browser automation tools like Playwright to collect website information, compare changes and generate reports.
- You can automate recurring checks by configuring monitoring profiles, specifying the information to collect and scheduling the workflow.
- Human review remains important for verifying findings and deciding whether competitor changes require action.
Why Manual Competitor Checks Fall Short
Manually checking competitor websites might work when you have only one or two competitors. But as the number of websites and markets grows, keeping track of changes becomes harder.
Manual checks have three main weaknesses:
- They are irregular. Competitor research often gets pushed aside when teams have client deadlines and campaigns to manage. This means important changes can go unnoticed for days or weeks.
- They depend on memory. Without saved screenshots or previous records, it is difficult to establish what has changed. Someone might notice a new promotion but miss that a competitor quietly increased its subscription prices.
- They miss regional differences. Some websites display different prices, promotions, product availability or shipping information depending on a visitor's location. Checking from your office may not show what customers in another market see.
A structured monitoring workflow addresses these problems by running checks on a schedule, keeping previous results for comparison and using the appropriate browsing location for each market.
Why Use Browser Profiles for Monitoring
You can monitor websites using simple scripts or website-monitoring services. However, some websites display different information depending on a visitor's location, cookies or previous browsing activity. This means the same website may not look identical to every visitor.
Browser profiles in specialised browsers like Incogniton provide separate browsing environments for these checks. Each profile has its own cookies, local storage, proxy configuration and browser fingerprint. This allows you to revisit a website using the same saved browsing environment rather than starting a new session every time.
You can also assign a location-specific proxy to each Incogniton profile. For example, one profile can use a UK proxy, another a Nigerian proxy and another a US proxy. This allows you to check how a competitor's website appears from different market locations while maintaining a consistent browsing setup for each one.
It's also important to keep monitoring activities separate from the browser profiles your team uses for client accounts and everyday work. Dedicated monitoring profiles keep browsing sessions, cookies and other stored data separate, making it easier to organise research by competitor or market.
Together, these features offer three practical benefits:
- Consistent monitoring environments: Revisit competitor websites using saved browsing sessions and configurations.
- Location-specific checks: Use different proxy locations to compare how websites display prices, promotions and product availability across markets.
- Better organisation: Keep competitor research separate from client accounts and your team's regular browsing activities.
How AI Fits In
AI plays two roles in this workflow: helping initiate browser activities and analysing the information collected.
First, it can help launch and manage monitoring profiles. Through the Incogniton MCP server, an AI client such as Claude can create, organise and launch browser profiles using natural-language instructions.
However, launching a profile does not automatically mean the AI can read everything displayed on the website. When remote control is enabled, Incogniton returns a local Chrome DevTools Protocol (CDP) address after launching a profile. A browser automation tool, such as Playwright, Puppeteer or a compatible browser MCP server, can connect to that address to navigate pages and collect information.
READ MORE: Everything You Need to Know About Browser MCP - Incogniton
Second, AI can analyse the collected information. Once the automation tool has retrieved the relevant page content, an AI assistant can compare it with previous records, identify differences and prepare a summary.
For example, instead of manually comparing two pricing pages, AI can identify that a competitor reduced its entry-level plan by 10%, introduced a free trial or removed a feature from an existing package.
This turns raw monitoring data into information your team can use when reviewing its own pricing, positioning and campaigns.
READ MORE: Persistent Browser Profiles for AI Agents: Why Sessions Matter - Incogniton
Step-by-Step Guide: What Monitoring Competitor Websites with AI and Browser Profiles Could Look Like in Practice
Now that we've covered how AI and browser profiles work together, let's look at how you can put them to use. The following steps walk through setting up dedicated monitoring profiles in Incogniton, connecting them to an AI assistant through browser automation and configuring a workflow to collect and compare competitor information regularly.
Step 1: Create monitoring profiles
Start by creating a dedicated Incogniton profile for each market you want to monitor.
(Add Video on How to create profiles in Incogniton)
For example, create profiles named "Monitor – UK" and "Monitor – Nigeria". Place them in a group called "Monitoring" so your team can identify and manage them easily.
Attach a static proxy corresponding to each market. This helps maintain a consistent network location between monitoring sessions.
Step 2: Set startup pages
Configure each profile with the competitor URLs you want it to open when launched.
This removes the need to enter the same addresses manually every week and ensures that each monitoring session starts with the same list of pages.
You can organise the URLs according to the competitor or market being monitored.
Step 3: Enable remote control
In Incogniton, go to Settings > Automation and make sure Allow browser remote control is enabled.
This setting allows external automation tools to connect to profiles launched through Incogniton. The AI client and Incogniton must run on the same computer for this local connection to work.
Without remote control, an automation tool cannot attach to the launched browser through its CDP address.
Step 4: Write the monitoring prompt
Once your profiles and automation connection are ready, give your AI assistant instructions explaining what to collect and how to compare the results.
For example:
"Launch the profile '[profile name]'. For each competitor page that opens, record [information to monitor, such as plan names, prices and promotion text]. Save the results to [filename] with today's date. Compare the information with the previous report and list any changes, including the affected pages and previous and current values. Flag information you cannot verify. Stop the profile when finished."
The prompt should specify exactly what information matters. If you are monitoring an ecommerce competitor, for example, you might want product prices and stock availability rather than general descriptions of the pages.
Step 5: Put it on a schedule
There are two ways to make the monitoring process recurring:
- With an AI client that supports scheduled tasks. Save the monitoring instructions as a recurring task, where supported, so the workflow can run at your chosen intervals without someone manually initiating it.
- With a script. A developer can write a Playwright script that launches the appropriate profile, visits the selected pages and collects the required information. The Incogniton API documentation explains how to manage profiles and automate browser sessions programmatically. You can then run the script using a scheduler and have Claude summarise the collected results.
The second approach offers more control over how frequently checks run, what information gets collected and where the results are stored.
Step 6: Review the summary
The final output should be a short report showing what changed, which competitor pages were affected and when the changes occurred.
For example, a weekly summary might highlight a price reduction, a new promotional offer or a change to a product's availability.
Your team can then review the findings and decide whether they require a response. Not every competitor change deserves action, so the summary should inform decisions rather than make them automatically.
Best Practices on Monitoring Competitor Websites with AI and Browser Profiles
Competitor monitoring should focus on publicly available information and avoid placing unnecessary demands on other websites.
Keep these considerations in mind:
- Stick to public pages. Do not attempt to access competitors' private accounts, restricted information or content behind paywalls you have not paid to access.
- Respect robots.txt and website terms. Check the website's terms and crawling restrictions before automating access. Google's introduction to robots.txt explains how website owners use the file to communicate which areas crawlers should avoid. Remember that robots.txt is a crawling instruction, not a substitute for permission or legal advice.
- Keep monitoring volumes low. Checking a handful of pages weekly is different from repeatedly sending requests every minute. Use reasonable intervals and avoid overwhelming the websites you monitor.
- Do not collect unnecessary personal data. Focus on publicly available business information such as prices, product details and promotions. Avoid collecting or storing customer information that is not needed for your analysis.
Conclusion
Competitor website monitoring with AI does not require an expensive monitoring platform. Dedicated browser profiles, appropriately configured proxies, browser automation and a clear monitoring prompt can help your team track changes across different markets.
Start with one market and five pages per competitor. Once the workflow produces reliable summaries, you can expand it to additional competitors and locations.
You can try 10 browser profiles for free, which gives you room to establish a monitoring setup across several markets.
