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Intent Intelligence

Buyer Intent Signals

Published Updated

Company and contact-level buyer intent across 38,000+ B2B topics. Every company-topic pair gets a 0-100 intent score with early and late buying stage labels.

Contact SalesRead the API docs
Companies Monitored
21M+
Topics Available
38,000+
Daily Behavioral Signals
6B+
Contact IDs
270M+
Delivery
Signal API, MCP server
Format
JSON

What Is Buyer Intent Data?

38,000+ topics · Daily refresh

Buyer intent data captures the digital research behavior of companies and individuals as they evaluate solutions in your category: reading vendor comparisons, researching implementation topics, consuming category content. That behavior is mapped to a taxonomy of 38,000+ B2B topics spanning products, technologies, and business problems.

Every company-topic pair gets an intent score from 0 to 100 with an Early or Late stage label, so you know both how intense the research is and how far along the evaluation is. Unlike providers that stop at account-level scores, Autobound also delivers contact-level intent, revealing which individuals are driving the evaluation. Intent is strongest layered with other signals: high intent plus a fresh raise and 15 open SDR roles is a different prospect than intent alone.

Example subtypes

Company intentContact intentTopic surgeStage transitionCompetitor researchCategory entryBuying group formationChurn risk

From a research spike to your next move

What we detect, what you get, and what you do with it. Pick the path that fits your team.

Sales, marketing and RevOps: Slack, CRM fields and plays.

  1. 0103

    Buyers research before they reach out

    We map company research activity to B2B topics and score each company-topic pair, with an early or late stage label.

    1. Topic research
    Topic researchJul 27, 2026
    Topic
    Sales Engagement Software
    Intent score
    87
    Stage
    Late
    Week
    2026-07-27
    Extracted
    Snowflakesnowflake.comcompany

  2. 0203

    You get one clean record

    Each record names the company and its domain, labels what happened, and links back to the source.

    2. Signal record

    Snowflake

    snowflake.comSoftware Development

    Web intent

    Snowflake is researching Sales Engagement Software (late stage)

    Topic
    Sales Engagement Software
    Intent score
    87
    Stage
    Late
    Detected
    Jul 27, 2026

  3. 0303

    Act on it where you work

    Send it to Slack, write it to your CRM, or give it to an AI agent.

    When
    intent_score ≥ 80 and stage_label = Late on your topic
    Do
    SDR sequence plus an AE task this week
    3. Your team acts
    or your own code
    #account-signals

    Signal alert from your workflow

    Snowflake· Web intent

    Snowflake is researching Sales Engagement Software (late stage)

    Play: SDR sequence plus an AE task this week

    Start the playOpen the source

    Illustration. The record fields are real.

Try it on your own accounts

1,000 free credits. Query web-intent in the Signal API or from Claude.

Get a free API keyUse it in Claude via MCP

Intent Signal Data Schema

Every intent signal includes topic classification, composite scoring, stage detection, and temporal trends. Here is a real example from our production database.

Full schema docs →
{
  "topic_id": "b2b_35642",
  "topic": {
    "id": "b2b_35642",
    "name": "Sales Engagement Software",
    "category": "Business",
    "subcategory": "Sales",
    "is_product": false
  },
  "intent_score": 87,
  "stage_label": "Late",
  "signal_week": "2026-07-27",
  "company": {
    "domain": "snowflake.com",
    "name": "Snowflake",
    "industry": "Software Development",
    "revenue": "1 Billion and Over",
    "employee_count": "5001 to 10000",
    "linkedin_url": "linkedin.com/company/snowflake-computing"
  }
}

See for yourself

Ask us for sample data: real Buyer Intent records with the same fields the API returns.

Contact SalesRead the API docs

Frequently asked questions

How is buyer intent data collected?
Intent signals are captured from behavioral activity across 500K+ tracked domains, including B2B publisher sites, review platforms, search behavior, and content consumption patterns. Activity is mapped to companies via IP-to-company resolution and to individuals via universal person IDs. All data is collected from consented, privacy-compliant sources.
What’s the difference between company-level and contact-level intent?
Company-level intent tells you that someone at Snowflake is researching sales tools. Contact-level intent tells you that Marcus Johnson, VP of Sales at Snowflake, is personally driving that research. Contact-level enables buying group targeting and personalized outreach to the actual decision-makers.
How many topics can I monitor?
The full topic taxonomy includes 38,000+ topics organized into 26 categories and 364 subcategories. You can also create custom topics for niche categories not covered by the standard taxonomy.
What does the composite score (0-100) represent?
The composite score aggregates multiple behavioral signals: content consumption volume, topic concentration, research velocity, and cross-domain activity into a single intensity measure. Scores above 70 indicate strong active research. The early/late stage label adds buying journey context: early-stage accounts are educating themselves, late-stage accounts are comparing vendors.
How does intent data combine with other Autobound signals?
Intent is one of 35+ signal categories in the Autobound platform. The API returns intent alongside financial signals (funding, SEC filings), workforce signals (hiring, job changes), market signals (tech stack, website changes), and social signals (LinkedIn, Reddit). This multi-signal view is what separates Autobound from intent-only providers.