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Products Dataset

Structured product and offering data extracted from company product and solutions pages. Know exactly what every company sells — categorized, structured, and ready for your AI agents to act on.

Products extracted
42.8M+
Companies covered
2.3M+
Sourced from
Product pages
Coverage
Global

PredictLeads extracts structured product and offering data directly from company product pages, solutions pages, and feature listings. Each product record is linked to a company domain, making it trivially easy to enrich your existing company records with a complete picture of what that company actually sells.

The dataset is designed for AI agents, sales intelligence platforms, and competitive analysis tools that need to understand a company's offering — not just its name and size. Products are extracted using machine learning, normalized into consistent categories, and enriched with descriptive context.

Whether you are building an AI SDR that needs to understand a prospect's product portfolio, a market intelligence tool mapping competitive landscapes, or an investment platform assessing company focus areas — the Products dataset gives you the structured signal you need.

Each product record includes the product name, description, category, source URL, and the company it belongs to. Products are linked to company domains for easy cross-dataset enrichment with News Events, Job Openings, Technographics, and more.

Know what every company sells

Extracted directly from product and solutions pages using machine learning, then structured and normalized for immediate use. No scraping, no guessing — just clean, actionable product intelligence.

Structured product records

Each product is extracted and structured with a name, description, category, and source URL — making it immediately usable in downstream systems without any further processing or normalization on your end.

Market and competitive analysis

Map entire markets by understanding what companies in a category sell, identify white spaces, and monitor competitor product movements as they launch, rename, or discontinue offerings.

Cross-dataset enrichment

Products are linked to company domains, enabling seamless enrichment with other PredictLeads datasets. Combine product data with Job Openings, News Events, or Technographics to build a complete picture of any company.

What you can build with it

From AI-powered sales research to competitive landscape mapping — structured product data unlocks a new layer of company intelligence.

AI agent context

Give AI agents a deep understanding of what a prospect sells before any outreach. Enable truly personalized, relevant messaging at scale by grounding agents in structured product context rather than generic company descriptions.

ICP definition and scoring

Define your Ideal Customer Profile with precision using product categories and offering types. Score and filter companies not just by size or industry, but by what they actually sell — making ICP targeting dramatically more accurate.

Competitive landscape mapping

Map every product in a market category. Understand how competitors position their offerings, which features they emphasize, and where gaps exist. Track product changes over time as companies evolve their go-to-market.

Market sizing and category analysis

Size markets by product category. Understand how many companies operate in a given space, how saturated it is, and which subcategories are growing. Invaluable for investment research and go-to-market strategy.

Sales personalization at scale

Enrich CRM records and outreach sequences with structured product context. Sales reps and AI SDRs can reference specific products a prospect sells — making every touchpoint relevant, contextual, and conversion-ready.

Similar company discovery

Find companies that sell similar or complementary products to a given company. Build lookalike audiences, identify partnership candidates, or discover acquisition targets based on product overlap and adjacency.

Products Dataset

Key data fields

Each product record contains structured fields that make it immediately actionable — no cleaning, no parsing, no guessing.

Product Name
The name of the product or offering as presented on the company's own pages — unambiguous, direct, and consistent.
Description
A concise description of what the product does, extracted and normalized from the source page, ready to feed into AI agents or sales workflows.
Category
Normalized product category enabling filtering and grouping across companies — essential for market mapping and ICP analysis.
Source URL
Direct link to the page where the product was found, providing full transparency and easy verification of every record.
Company Domain
Each product is linked to a company domain, making cross-dataset joins with News Events, Job Openings, Technographics, or Companies trivial.
First & Last Seen At
Timestamps of when each product was first detected and last confirmed, enabling trend analysis and tracking product launches or retirements over time.

Ready to see what companies sell?

Access structured product data on 2.3M+ companies. Join the teams using PredictLeads to build smarter AI agents, sharper sales tools, and deeper market intelligence.

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