> ## Documentation Index
> Fetch the complete documentation index at: https://docs.canvas.inc/llms.txt
> Use this file to discover all available pages before exploring further.

# AI Research

> AI-powered scoring, categorization, and content generation

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).

<Note>
  Don't use AI Research for factual data like emails or phone numbers — use [Contacts](/data/contacts) for that. Don't use it for current news — Canvas has web search built in.
</Note>

***

## Result types

Choose the output format that fits your use case:

### 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"

### 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"

<Tip>
  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".
</Tip>

### 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"

### 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"

***

## 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"