Competitive analysis allows you to understand the market situation, identify weaknesses and opportunities for development, gather new ideas, assess your own position, and predict industry trends. However, performing it manually, the old-fashioned way, is time-consuming, labor-intensive, and inefficient.
Artificial intelligence technologies give companies the ability to analyze competitors faster, more cost-effectively, and ultimately make more informed decisions. According to recent studies, over 80% of companies worldwide already use AI for competitor analysis.
In this article, we will explain how to use neural networks to quickly assess the competitive environment and discover growth points.
Neural networks are used for SWOT analysis, price tracking, research of services and products, investigation of target audiences, or competitors' marketing strategies. AI models can process colossal volumes of data from various sources and provide practical recommendations and conclusions.
Here are a few examples of the capabilities of neural networks:
Moreover, neural networks are objective, conduct analysis quickly, and are often free or available for a symbolic fee.
Until recently, the result of working with neural networks completely depended on the correctness of the prompt. But recently, models have become significantly "smarter" and better understand requests: now it's enough to simply describe your task in detail. We have collected several example prompts for competitor analysis that are suitable for any neural network.
It's difficult to single out the absolute best neural networks for competitor analysis, as both universal AI models and specialized platforms with AI tools are suitable for such tasks. We will discuss the most popular – free, freemium, and paid solutions.
A universal language AI model for analyzing and interpreting competitor data from various sources. Quickly processes and summarizes large volumes of textual information, generates reports and recommendations based on data, and assists in strategy development.
Application for Competitor Analysis:
Pros: Basic plan is free.
Cons: The free plan has limitations on the number of messages and uploads. For regular analytics, it's better to use Plus/Pro with extended context and file handling.
Link: https://chat.openai.com/
Specializes in processing large datasets, can handle up to 200,000 characters per request. Generates structured reports with conclusions based on uploaded materials.
In competitive intelligence, this is especially valuable: price lists, marketing presentations, investment materials, annual reports, landing pages – everything can be uploaded in one session to receive a consolidated analytical report.
Application for Competitor Analysis:
Pros: Basic plan is free, includes a Research Tools module for deep analysis.
Cons: Functions for in-depth analysis of large data are only available in paid plans.
Link: https://claude.ai/
Provides up-to-date information about competitors from the internet in real time. The model is integrated with Google Search, allowing it to find the freshest data – latest news, website changes, new products.
Application for Competitor Analysis:
Pros: Basic plan is free.
Cons: The quality of results still depends on language and topic. For English-language sources, data is more stable.
Link: https://gemini.google.com/
The neural network is focused on analyzing the Russian market. Developed for the Russian-speaking audience with an understanding of local specifics, mentality, and business practices in Russia. Offers a wide range of tools for various niches.
Application for Competitor Analysis:
Pros: Free access is available.
Cons: For business tasks, only the paid model in Yandex Cloud is suitable.
Link: https://ya.ru/ai/gpt/
A platform for comprehensive turnkey competitor analysis. Automatically collects data from multiple sources, creating a detailed report: AI analysis of prices, target audience, advertising channels, strengths and weaknesses, customer reviews. Uses LLM algorithms.
Application for Competitor Analysis:
Comparative analysis of Google Docs and Word in Competely
Pros: The service automatically collects competitor data and constantly monitors their pages without specialist involvement.
Cons: The service is paid; there is no free trial.
Link: https://competely.ai/
Specializes in analyzing customer service and marketing strategy. Generates a structured SWOT analysis and assesses competitor positioning. More suitable for quick primary analysis rather than deep research.
Application for Competitor Analysis:
Pros: Free, provides detailed responses.
Cons: The service is in English.
Link: https://livechatai.com/ai-competitor-analysis/
A search engine based on large language models. Analyzes information from the internet in real time and provides ready answers with source citations. One of the most convenient tools for "live" search with AI. Suitable for quick fact-checking, tracking website changes, finding public discussions and news.
Application for Competitor Analysis:
Pros: There is a free basic version.
Cons: Only 5 Pro queries per day are available for free.
Link: https://www.perplexity.ai/
A comprehensive platform for SEO analysis of competitors using neural networks. Combines tools for analyzing websites, SEO, content, social networks, ad spend, organic traffic, and link strategies. In 2025, an AI module appeared, helping to assess brand visibility in AI answers.
Application for Competitor Analysis:
Semrush interface in the free version
Pros: Free access is available.
Cons: The service is paid; free access is limited in functionality.
Link: https://semrush.com/
A powerful competitor analysis tool based on artificial intelligence. Collects vast amounts of data on competitive assets: websites, social networks, sales, updates, PR, job openings.
One of the key capabilities is tracking changes on the website, including updates to content, design, and functionality. For example, it can notify about a competitor launching a new product or changing prices.
The platform also provides analytics on competitors' marketing strategies, including their social media activity, content marketing, and paid advertising campaigns.
Application for Competitor Analysis:
Main screen of the Crayon AI platform
Cons: High cost, difficult to get a demo version.
Link: https://crayon.co/
One of the most practical tools for analyzing competitors' advertising in Russia. The service analyzes creatives, targeting, effectiveness of advertising messages, and compliance with Russian advertising legislation.
Application for Competitor Analysis:
Pros: There is a 14-day demo version.
Cons: Full access is by subscription only.
Link: https://prometheusai.ru/
Despite the seeming simplicity and ease of obtaining data, working with neural networks requires attentiveness. This is especially true for free tiers of universal models like ChatGPT. The most common problem – data inaccuracy. All critically important conclusions are recommended to be checked manually.
Furthermore, neural networks can touch upon privacy issues, so make sure you only use publicly available information for analysis.
To assess the quality of AI analysis, apply the following criteria:
To conclude – a simple algorithm for using neural networks for competitor analysis.
Companies implementing AI tools for competitor analysis gain an advantage in the speed of reaction to market changes and the quality of business decisions made.
The main rule: Combine several AI tools and supplement automatic analysis with expert evaluation. Artificial intelligence is a powerful assistant, but strategic decisions are made by humans.
We help set up competitor analytics based on AI and turn it into concrete actions: promotion strategy, hypotheses, media plan, growth points, and clear steps for the team.
