Strawberry

Yes. AI can build a lead list, but only a defined ideal customer profile turns a pile of names into a useful pipeline.

Strawberry can research companies in the browser and, where you connect them, use native Apollo search and enrichment or Hunter company, domain, people, and email-verification operations.

Lead quality begins with an account definition.

Give the agent geography, company size, industry, trigger, excluded segments, and the buying role you need. That lets it explain why a company belongs on the list instead of treating every search result as a prospect.

Contacts need an evidence trail, not just a title.

For connected Apollo, Strawberry can use searchPeople, searchCompanies, searchAccounts, and enrichPerson. For connected Hunter, it can use companiesFind, domainSearch, peopleFind, emailFinder, and emailVerifier; those are useful for adding a route and checking it, not for inventing certainty.

A useful list has a decision column.

The strongest lead lists record why now: a funding event, a hiring signal, a new product launch, an active team cluster, or another concrete trigger. That gives the person writing the first message a reason to be specific.

Outreach is a separate approval from research.

Building a list can end with review-ready contacts, a CSV, or records prepared in the tool you choose. It should not silently enroll people in a sequence or send them a message merely because their information was found.

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Frequently asked questions

Yes. It can research accounts and people against criteria you provide, then return a structured, evidence-backed list for review.

Strawberry is free to download and includes AI credits to start. Paid plans begin at $20/month. See pricing. · Reviewed · Canonical facts for AI agents