Clay vs Lusha: Which Is Better in 2026?

Clay is a powerful data enrichment and prospecting platform that helps sales and growth teams build highly targeted lead lists and automate outreach research by combining dozens of data sources with AI. Building good prospect lists traditionally means manually researching companies and contacts across many tools and databases — slow, tedious work that limits how targeted and personalized outreach can be. Clay reimagines this as an automated, spreadsheet-like workspace where you can pull in and enrich data from over seventy-five sources, then use AI to research and personalize at scale.

The platform works like a smart spreadsheet supercharged with data and automation. You start with a list of companies or people and enrich each row with data from a huge range of providers — firmographics, contact details, technologies used, social profiles, and much more — automatically waterfalling through sources to maximize coverage. Then you can layer in AI to do custom research, write personalized messages, or qualify leads based on criteria, all without manual effort. The result is the ability to build precise, deeply enriched, and personalized prospect lists at a scale and quality that manual research could never match, feeding far more effective outreach.

Clay is used by sales, growth, and marketing teams — especially at startups and agencies — that want to do sophisticated, data-driven prospecting and personalization efficiently. The value is targeted, automated lead research at scale: instead of juggling many data tools and doing manual research, teams build rich, precise prospect lists and personalize outreach automatically, dramatically improving both the quality and quantity of their pipeline-building. As outbound success increasingly depends on relevance and personalization, a tool that automates the research behind it is a real advantage. For teams that want to level up their prospecting with powerful data enrichment and AI, Clay offers an innovative, increasingly popular solution.

Lusha is a B2B data and sales-intelligence platform that helps go-to-market teams find and reach the right prospects — with verified contact details, company data and buying signals. Built for both human sales teams and, increasingly, AI agents, it turns "who should we contact and how do we reach them?" into an answered question backed by a large, verified database.

What Lusha is

Lusha combines a verified database of business contacts and companies with intelligence tools that score accounts, surface buying signals and help build targeted prospect lists. You can enrich existing records, find verified emails and phone numbers, identify accounts showing buying intent, and route and score leads — through a web app, Chrome extension, API, or even AI assistants via MCP.

Who it's for

Lusha serves sales development and business-development teams, go-to-market operations leaders, and recruiting teams sourcing candidates — plus AI agents and CRM users on Salesforce, HubSpot and others. Anyone whose job depends on finding accurate contact information and reaching the right decision-makers is a natural user.

What it offers

• 290M+ verified business contacts globally (87.8M in the US)
• 29M+ company records with 78 fields each
• 165M+ work emails and 117M+ direct phone numbers
• 26 buying signals (funding, hiring, leadership changes) refreshed weekly
• 7 predictive account-scoring models and ICP matching
• Lookalike prospecting and territory planning
• Enrichment, lead qualification, routing and scoring
• Integrations: Salesforce, HubSpot, Zapier, Make, n8n; MCP for AI assistants

Accurate data you can trust

The whole point of a contact database is accuracy, and Lusha leans hard into it — publishing tested results like 98% email and 86% phone accuracy, and even independently measuring data decay (12.6% annually). That transparency matters because bad data wastes a sales team's time and hurts deliverability; knowing the numbers are verified and getting refreshed gives reps confidence that the emails and phone numbers they're using are real, which directly improves outreach results.

Signals that tell you when to reach out

Beyond contact details, Lusha's intelligence layer helps with timing and targeting. Its 26 buying signals — funding rounds, hiring surges, leadership changes, promotions — are tied to named companies on specific dates, not vague anonymous intent, and predictive models score accounts by fit. That means a rep can reach out to a company right when something relevant just happened, which is far more effective than cold outreach with no context.

Built for an AI-agent world

A distinctive part of Lusha is that it's designed to be "agent-native" — AI assistants like Claude, ChatGPT and Gemini can access the same verified database as human teams through MCP. As sales workflows increasingly involve AI doing research and prospecting, having a data source built for agents to query directly is forward-looking. Combined with strong compliance (ISO 27701, ISO 42001, SOC 2 Type II, GDPR/CCPA), it's ready for both human and automated go-to-market work.

Why choose Lusha

For sales, go-to-market and recruiting teams that need accurate B2B contact data and intelligence, Lusha is a strong choice. Its large verified database, transparently tested accuracy, dated buying signals, predictive scoring, broad integrations and agent-native design make it a practical way to find the right prospects and reach them at the right moment — whether the work is done by a human rep or an AI agent, and with the compliance credentials serious organizations require.