Competitive Analysis 2.0: Combining methods and AI
Competitor analysis is a systematic and routine process in any business, no matter how small. Without it, a company loses its bearings: competitors stay one step ahead, whilst you react after the event-too late, incurring unnecessary costs, playing catch-up and falling behind.
Competitive analysis tracks causes and connections, helping you to see the market as a whole: to assess positions, identify strengths and weaknesses, see opportunities, and understand exactly what makes competitors successful.
In this article, Betonlogos marketing will show you how to combine traditional analysis tools with AI-based tools to obtain more accurate data, identify patterns more quickly and make decisions based on real facts.
At this stage, you need to gather data to find out which traffic sources work for competitors, and how many visitors come to their sites from search, advertising or social media. By utilising AI tools, you can forecast user behaviour. This is particularly useful for e-commerce businesses, where customer interests change literally by the season.
- SimilarWeb - shows website traffic, visitor sources and audience geography
- Crunchbase - helps you understand who is behind the brand: investments, partners, growth history
- Google Search - for a quick check of competitors based on key search queries
- ChatGPT (in market analysis mode) - can help compile a list of competitors and categorise them by type
- Kompyte AI - automatically tracks changes on competitors’ websites: new products, prices, promotions, news
Firstly: identify, pinpoint and categorise direct and indirect competitors. Direct competitors sell the same products. Indirect competitors address the same needs, but in a different way. Potential competitors may emerge in the future and shift the balance of power.
1. Identifying competitors
2. SEO and content analysis
At this stage, we analyse what competitors are writing, how they structure their content, and which search queries drive their traffic. This approach ensures that we do not simply copy others’ ideas, but instead create content that performs more effectively, according to experts at Betonlogos.
- Ahrefs and SEMrush - analysis of keywords, backlinks and search rankings
- NeuronWriter AI - compares competitors’ texts and provides recommendations for improving structure and keywords
3. Trend analysis
The market changes faster than it seems. Audience interests, keywords, formats - all of these are in flux. That is why it is important not only to look at what is popular now, but also to understand what will be in demand tomorrow.
- Google Trends - tracks trends in search interest
- Exploding Topics - identifies emerging topics before they become popular
- Trendify AI - predicts which topics and categories will grow in the future
- ChatGPT connected to the Google Trends API - can generate a summary report on seasonality and regional differences in interest
4. Analysis of social media and brand mentions
Social media is a space where customers express their opinions directly. Here, you can see how the audience reacts to advertising, products and brand communications. Experts at Betonlogos company noted: combining traditional analytics with an AI approach allows us to understand not only ‘where people are talking’, but also ‘why they are reacting’ in a particular way.
- Brandwatch - tracks mentions of the brand and competitors by keywords
- Hootsuite Insights - collects statistics on audience engagement and activity
- Meltwater AI - analyses the tone of messages and determines the audience’s emotional response
5. Analysis of competitors’ advertising
Advertising is a mirror of strategy. It shows how companies position themselves, what messages they use and which channels they consider effective. AI tools provide deeper advertising analysis: they assess not only CTR or CPC, but also why certain visuals perform better.
- SEMrush Advertising Research - shows which ads and keywords drive the most traffic
- AdCreative.ai - analyses creatives and suggests improved options based on statistics
6. Price and Product Range Analysis
Price remains one of the key factors influencing purchasing decisions. It is important to understand how competitors structure their pricing and what added value they offer.
- Price2Spy - helps analyse historical price changes
- PriceMark - specialises in competitive price and product range analysis (Czech Republic)
- Intelligence Node AI - predicts customer reactions to price changes
7. Review and reputation analysis
Reviews provide a genuine insight into customers’ experiences. They reveal emotions, expectations and issues that statistics cannot capture.
- Trustpilot and Google Reviews - open platforms with user reviews
- MonkeyLearn - analyses the tone of reviews and automatically categorises them by topic - delivery, quality, service, support - and identifies recurring patterns
Competitor analysis is not a formality, but a research system that helps businesses see the market as a whole. Competitor analysis shows how companies structure their communication with customers, what marketing strategies they use, and what technologies help them grow. Betonlogos Czech Republic invites you to view competitor analysis as a source of fairly accurate and proven solutions. By combining traditional tools with AI-based tools, you gain real data and valuable insights for business development.
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