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Run AI-powered research on any data — score leads, categorize companies, generate personalized content, or extract structured insights. Credit cost: 2 credits per call (standard), 20 credits per call (deep research).
Don’t use AI Research for factual data like emails or phone numbers — use Contacts for that. Don’t use it for current news — Canvas has web search built in.

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Result types

Choose the output format that fits your use case:

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Text

Free-form text response. Use for summaries, research briefs, personalized content. Example prompts:
  • “Summarize what this company does in one sentence”
  • “Write a personalized email opener for this prospect”
  • “Research recent news about Stripe — funding, hiring, product launches”

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Number

Returns a single number. Use for scoring and ranking. Example prompts:
  • “Score this company 1-100 for ICP fit based on: B2B SaaS, 50-500 employees, has a sales team”
  • “Rate this lead’s seniority 1-10”
Be specific about scoring criteria. “Score 1-100 based on company size, industry fit, and title seniority” works much better than just “score this lead”.

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Option

Pick from predefined choices. Use for categorization and qualification. Example prompts:
  • “Qualify this lead as HOT, WARM, or COLD based on title seniority and company size”
  • “Categorize this company as COMPETITOR, PARTNER, or PROSPECT”

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Structured Output

Extract multiple typed fields at once. Use for complex analysis. Example prompts:
  • “Analyze this lead for outreach — return qualified (yes/no), score (1-100), pain points, and a personalized opener”
  • “Extract company size, industry, and main product from this data”

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Common workflows

Lead scoring:
“Find 20 SaaS companies, then score each one 1-100 for ICP fit”
Personalized outreach:
“For each contact, write a personalized one-sentence email opener”
Categorization:
“Categorize these companies as COMPETITOR, PARTNER, or PROSPECT”