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Use case · Buyer research

See what a buyer said in public before you talk

Before a call, a seller wants the buyer's own words, with the date and the source.

What you build

From signal to action

First the view a seller gets, then one record behind it. Both come from the public sample files.

01

What your team sees

One executive and one podcast interview. The three points and the hook are fields of the record, so your product shows them next to the contact.

Buyer context · one contact

Kellie Romack

Chief Digital Information Officer, ServiceNow

Podcast appearanceMar 12, 2026 · 28 min

Kellie Romack on How ServiceNow Generated $355M in AI Value

  • ServiceNow has generated $355 million in AI-driven value internally.
  • 90% of IT service requests are resolved through AI.
  • The transformation allowed 85% of staff to move to higher-value roles.
AI transformationOperational efficiencyAutomation in IT service requests
outreach_hooks
Explore the impact of automating IT service requests on operational efficiency.

A real record from the public podcast sample file. Every line is a field of it.

02

The record your product receives

One podcast record as it arrives. It names the guest, the title and the employer, and it lists the main points, the topics and a hook for outreach.

Record · podcast-contact.csv
signal_type
podcast-appearance
contact.name
Kellie Romack
contact.title
Chief Digital Information Officer
company.domain
servicenow.com
data.episode_title
Kellie Romack on How ServiceNow Generated $355M in AI Value
data.key_insights
90% of IT service requests are resolved through AI.
data.outreach_hooks
Explore the impact of automating IT service requests on operational efficiency.

A real record from the public sample file. The field names are the ones your code reads.

How it arrives

Built for how your stack already works

GCS push for a daily file per feed. REST API for one account on demand. MCP server for AI agents.

  • Every signal of a feed, on a schedule

    GCS push

    Daily to weekly
    Scheduled exports to your bucket in JSONL, Parquet, or CSV.
    gs://autobound-<signal>/<date>/output.jsonl
  • One account or one contact, right now

    REST API

    JSON over HTTPS
    Real-time search, enrich, and filter across every signal type.
    $ curl https://signals.autobound.ai/v1/companies/search
  • An AI agent that asks its own questions

    MCP server

    Agent-native
    Every signal type as a tool in Claude, ChatGPT, or Cursor.
    $ claude mcp add --transport http autobound https://mcp.autobound.ai/mcp

The feeds

The feeds behind this use case

Each feed page shows how we build the signal, the fields, and a sample file.

FAQ

Common questions

How do you match a record to a person?

Contact records match on the LinkedIn URL or the email, and carry the company's domain.

What if a contact has no signals yet?

A contact lookup still returns the signals of the person's company, in the same response.

Can an AI agent read these records?

Yes. The MCP server gives every signal type to Claude, ChatGPT or Cursor as a tool.

See what the people at your accounts said

Send a list of company domains. We return the signals we hold for each one, so you judge the fit on accounts you know.