table of contents
Published On
February 26, 2025
Written By
Andrii Bas
Category
Deal Sourcing
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There are countless situations where you need to compile a list of companies operating in a specific industry and region. Whether you're searching for service providers, job opportunities, strategic partners, or potential M&A targets, having the right information is crucial.
The real challenge isn’t the lack of data - it’s finding relevant data. You could spend an entire day sifting through scattered information, or you could leverage specialized tools to get structured, accurate, and highly targeted results in minutes.
In this article, we’ll explore both popular methods for company research and cutting-edge solutions that help you save time and avoid information overload.
The most common way to search for businesses is through popular search engines or AI chatbots.
Using search engines like Google (and Google Maps) and Bing to find companies is free, widely accessible, and provides real-time results from various sources, including websites, directories, and news. However, the data is unstructured, requiring manual organization and verification. Search engines lack advanced filtering options for revenue, industry classification, or employee size. Additionally, search results may be influenced by SEO and paid ads, potentially leading to outdated or irrelevant information.
Conclusion: Search engines won’t give you a ready-made list of relevant companies with up-to-date data in just a few clicks.
Rating: ⭐☆☆☆☆ (1/5)
AI chatbots like ChatGPT, Perplexity, and DeepSeek provide quick and structured business insights, making them useful for summarizing industry trends and company information. They can refine search queries dynamically and pull data from multiple sources, but they lack access to proprietary business databases and may not always provide the latest financials or contact details.
Unlike search engines, AI chatbots do not always disclose sources, and their results may exclude lesser-known companies with low online visibility. While they are great for quick research and competitor analysis, they are not ideal for bulk data exports or lead generation.
Conclusion: AI chatbots allow you to use natural language to generate company lists based on specific criteria. However, to ensure relevance, you need experience in prompt engineering, time for fine-tuning queries, and additional effort for data verification and structuring.
Rating: ⭐⭐☆☆☆ (2/5)
Business directories and databases like Crunchbase, LinkedIn Sales Navigator, Apollo.io, ZoomInfo, D&B Hoovers, and Orbis provide structured information about companies, including industry, location, revenue, employee count, and contact details.
Conclusion: This approach is great for B2B lead generation, sales outreach, market research, and competitor analysis. If you have the budget, you’ll get structured, exportable business data with advanced filtering options. However, the downside is that it doesn’t cover many small businesses or local companies.
Rating: ⭐⭐⭐⭐☆ (4/5)
With the advancement of AI in recent years, it has become possible to enhance the efficiency of searches within company databases.
The AI search tool streamlines company and contact identification processes by using hundreds of data sources and thousands of data points from all over the internet to find relevant companies. The AI analyzes a query and transforms it into machine-specific filters and requests to provide relevant companies.
For instance, to use Cerco, begin by entering a query to find companies.
1. Submit a request in natural language. You can describe the company you're looking for by typing it in, and the AI will analyze the query. Cerco's AI will then transform the request into machine-specific filters to provide relevant companies. Cerco's AI then analyzes the query using numerous data sources to provide relevant results.
2. To get the most relevant results, use specific and detailed filters in your natural language request. For example, you can include details like industry, size, location, keywords, employee size, and ownership type.
3. Let the AI work Cerco's platform scans and analyzes plenty of data points.
4. Review AI-generated summaries Check out the AI summary, keywords, and other data points such as LinkedIn page, employees on LinkedIn, industry, city, year founded, office location, and funding details.
5. Get relevant results Access a curated list of verified companies tailored to the search criteria.
6. Save and organize companies Save companies to lists. Companies can be saved to a list, and lists can be exported.
7. Find contact information Load contact details of decision-makers to streamline the outreach process.
8. Personalized messaging. Cerco can craft tailored messages for contacts to increase chances of engagement.
Conclusion: AI-powered company databases enable searching across multiple sources, using customized query settings and iterative improvements to refine results. This allows you to generate a structured list of companies that can be filtered, edited, and enriched as needed. Additionally, these tools provide immediate access to company profiles, key decision-makers, and even allow for automated, personalized email outreach.
Rating: ⭐⭐⭐⭐⭐ (5/5)
Industry-specific directories focus on businesses within a particular sector, such as technology, real estate, healthcare, finance, manufacturing, or marketing. Examples include Clutch.co for B2B services, G2 for software companies, AngelList for startups, ThomasNet for manufacturers, and Zillow for real estate.
Conclusion: This method is best suited for finding a small list of companies within a specific industry covered by the directory (typically software providers and service companies). You’ll get company-provided information along with verified user reviews, which adds credibility.
However, it’s not ideal for large-scale data collection, searching across multiple industries, or easily exporting data for further use.
Rating: ⭐⭐⭐☆☆ (3/5)
Government and open data sources provide publicly available information about businesses, economic activities, and industries. These sources include OpenCorporates, Data.gov, European Business Register (EBR), Companies House (UK), SEC EDGAR (U.S.), and World Bank Open Data. They are widely used for market research, regulatory compliance, economic analysis, and verifying company legitimacy.
Conclusion: Searching in government and open data sources is not the best method for compiling company lists or databases. Instead, it is most useful for verifying a company’s legitimacy, including registration status, financial reports, legal documents, regulatory compliance, and comprehensive due diligence (preventing fraud, legal risks, and tax issues).
Rating: ⭐⭐⭐☆☆ (3/5)
Looking for the best way to create a companies database for market research, lead generation, or business analysis? We explore the most effective methods - from Google and ChatGPT to advanced AI-powered databases. Find out which tools offer the most structured and up-to-date company data to save you time and effort.
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