Case study · Intelligence
AI-Powered Competitive Intelligence Platform
Automated competitor monitoring and analysis across multiple comparison websites, turning days of manual research into minutes for content, SEO and product teams.
- Business area
- Competitive intelligence
- Users
- Content, SEO and Product
- Outcome
- Executive intelligence reports
The problem
What was getting in the way.
Multiple comparison websites contained 10 to 15 brands per page, each supported by detailed long-form reviews. Keeping hundreds of reviews competitive required continuous manual research across competitor websites, making the process slow, inconsistent and difficult to scale.
Why it was hard
Scale
10 to 15 brands per page, across many comparison sites and hundreds of reviews.
Constant change
Competitor pricing, positioning and messaging shift continuously.
No standard method
Research was manual and ad hoc, with no repeatable process.
A cross-functional need
Content, SEO and Product teams all depended on the same insight.
The solution
What was built.
Built an AI platform that crawled competitor websites, extracted products, pricing, messaging, UX and UI, trust signals and positioning, then compared them against the company's own sites. The platform generated structured reports with strengths, weaknesses, content gaps, feature ideas, payment methods, UX improvements and strategic recommendations.
Design decisions
- Crawl at scale across every comparison site, not a manual sample.
- Compare structured attributes such as pricing, UX and trust signals, not just text.
- Output executive-ready recommendations, not raw data.
How it works
From input to outcome.
01
Competitor websites
02
Crawler
03
AI processing
04
Analysis
05
Recommendations
06
Executive report
A continuous pipeline, with no manual research required.
What it does
The capabilities.
Automated web crawling
Continuously scans comparison sites at scale.
Product and pricing extraction
Captures products, pricing and payment methods.
Messaging and positioning analysis
Reads how competitors position themselves.
UX and UI comparison
Benchmarks design and user experience.
Trust signal detection
Identifies credibility and trust indicators.
Structured executive reporting
Turns findings into strategic recommendations.
The result
What changed.
Time freed up for people
The team no longer spends days collecting and comparing competitor information. That time goes back to thinking, creating and deciding.
More room to be creative
With the research done automatically, people spot opportunities and content gaps faster, and put their energy into new ideas, better content and sharper strategy.
Insight everyone can use
Standardised competitor analysis across multiple industries, delivered as executive-ready reports.
Cost saved
Analyst hours handed back to the team every month, and no need to hire or outsource research as the number of sites and reviews grows.
What could this become?
Want the plain-English version? Read the guide: ai competitive intelligence →
- Real-time monitoring
- Agents
- Approval workflows
- AI summaries
- A data warehouse
Facing something like this?
Describe the process in a short note. Every system here started with exactly that.