Neural networks for competitor analysis

Competitive analysis helps you understand the market, identify vulnerabilities and areas for growth, find new ideas, assess your own position, and predict industry trends. But doing it manually, the old-fashioned way, is time-consuming, difficult, and inefficient.

AI technologies allow companies to analyse competitors faster, cheaper and ultimately make more informed decisions. Recent studies show that more than 80% of companies worldwide already use AI for competitor analysis. In this article, we will discuss how to quickly assess the competitive environment and find growth points using neural networks.

What does competitor analysis with neural networks offer? Neural networks are used for SWOT analysis, monitoring prices, services and products, researching target audiences or competitors’ marketing strategies. AI models are capable of processing huge amounts of data from various sources and providing practical recommendations and conclusions.

Here are a few examples of the capabilities of neural networks: Website analysis. AI can monitor competitors’ websites and generate reports on changes in content, SEO strategy, prices, and product range.

Social media monitoring. With the help of AI, you can track your competitors’ activity on social media: posts, engagement, and partnerships with influencers. Analysis of public financial information.

Neural networks can provide data on the financial condition of competitors, including their revenues and profits.

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What’s more, neural networks are impartial, perform analysis quickly and often for free or at a minimal cost. Until recently, the results of working with neural networks depended entirely on the correct prompt. But recently, models have become significantly ‘smarter’ and better at understanding requests: it is enough to simply describe your task in detail.

It is difficult to single out the best neural networks for competitor analysis, as both universal AI models and specialised platforms with AI tools are suitable for such tasks. We will tell you about the most popular ones — free, conditionally free, and those that require payment for their services.

ChatGPT

A universal AI language model for analysing and interpreting data about competitors from various sources. It quickly processes and summarises large amounts of text information, generates reports and recommendations based on data, and assists in strategy development.

Claude

Specialises in working with large amounts of data and can process up to 200,000 characters per query. Creates structured reports with conclusions based on uploaded materials.

This is especially important in competitive intelligence: price lists, marketing presentations, investment materials, annual reports, landing pages — everything can be run through a single session to obtain a consolidated analytical report.

Gemini

Provides up-to-date information about competitors from the internet in real time. The model is connected to Google search, which allows you to find the latest data — the latest news, changes on websites, new products.

Competely

A platform for comprehensive turnkey competitive analysis. Automatically collects data from dozens of sources, creating a detailed report: AI analysis of competitors’ prices, target audience, advertising channels, strengths and weaknesses, customer reviews. Uses LLM-based AI algorithms in its work.

Perplexity AI

A search engine that uses large language models. Analyses information from the internet in real time and provides ready-made answers with references to sources. One of the most convenient tools for ‘live’ search with AI. Suitable for quick fact checking, checking changes on competitors’ websites, searching for public discussions and the latest news. More details on Texterra: https://texterra.ru/blog/neyroseti-dlya-analiza-konkurentov-obzor-servisov.html

Semrush with AI tools A comprehensive platform for SEO analysis of competitors using neural networks. It combines tools for analysing websites, SEO, content, social media, advertising costs, organic traffic, and link strategies. In 2025, they introduced an AI module that helps evaluate brand visibility in AI responses.