Podcasts

A person's mentions across podcasts, gathered from 20+ publishers.

Overview

Podcast Mentions surface when prospects appear on or are mentioned in podcasts - revealing thought leadership, industry perspectives, and detailed viewpoints.

We index episodes from 20+ podcast publishers and search for prospect name matches across 4M+ contacts in titles, descriptions, and guest lists. Each signal includes episode title, show name, publication date, and description snippet. Podcast appearances are high-signal for executive outreach - they indicate thought leadership and give you 30-60 minutes of content to reference.

Available Subtypes

SignalSubtype EnumDescription
Podcast mentionsocialMediaProspectMentionedInPodcastProspect appeared on or was mentioned in a podcast

Schema

{
  "signal_id": "c3d4e5f6-a7b8-9012-cdef-234567890123",
  "signal_type": "podcast-contact",
  "signal_subtype": "socialMediaProspectMentionedInPodcast",
  "signal_name": "Contact mentioned in podcast",
  "association": "contact",
  "detected_at": "2026-02-10T08:45:22.118Z",
  "contact": {
    "email": "[email protected]",
    "name": "Daniel Wiener",
    "first_name": "Daniel",
    "last_name": "Wiener",
    "job_title": "CEO"
  },
  "company": {
    "name": "Autobound",
    "domain": "autobound.ai",
    "description": "B2B signal data infrastructure for sales teams.",
    "industries": ["Software Development"],
    "employee_count_low": 11,
    "employee_count_high": 50
  },
  "data": {
    "title": "Midstage Startup Momentum: Autobound Co-Founder & CEO Daniel Wiener",
    "snippet": "For companies in almost every industry, success and failure often boil down to the sales process. But what if there was a way to make it easier for sales departments to know who to reach out to and what to say?",
    "website": "https://podcasts.apple.com/us/podcast/autobound-co-founder-ceo-daniel-wiener-narrow-is-never/id1492305911",
    "show_name": "Midstage Startup Momentum",
    "published_at": "2024-08-15T10:00:00.000Z",
    "duration_minutes": 42,
    "tags": [
      "Sales Technology",
      "AI",
      "Startup Growth",
      "B2B Sales"
    ],
    "summary": "CEO discusses Autobound's approach to AI-powered sales personalization and the importance of narrow focus in early-stage startups.",
    "pain_points": [
      {"topic": "Sales teams spending too much time on manual research", "intensity": 0.75},
      {"topic": "Personalization at scale is difficult without automation", "intensity": 0.70}
    ],
    "initiatives": [
      {"topic": "Building AI-driven signal engine for sales outreach", "urgency": 0.85},
      {"topic": "Pivoting from SaaS to data infrastructure", "urgency": 0.80}
    ],
    "technologies_mentioned": [
      {"name": "GPT-4", "status": "using"},
      {"name": "Salesforce", "status": "integrating"}
    ],
    "competitors_mentioned": [
      {"name": "6sense"},
      {"name": "ZoomInfo"}
    ]
  }
}

Field Reference

Core Fields

FieldTypeDescription
signal_idstring (UUID)Unique identifier for this signal
signal_typestringAlways "podcast-contact"
signal_subtypestringAlways "socialMediaProspectMentionedInPodcast"
signal_namestringAlways "Contact mentioned in podcast"
associationstringAlways "contact"
detected_atstring (ISO 8601)When we detected this signal

Contact Object

FieldTypeDescription
contact.emailstringContact's business email address
contact.namestringContact's full name
contact.first_namestringContact's first name
contact.last_namestringContact's last name
contact.job_titlestringContact's job title

Company Object

FieldTypeDescription
company.namestringCompany name
company.domainstringCompany website domain
company.descriptionstringCompany description
company.industriesarray[string]Industry classifications
company.employee_count_lowintegerLower bound of employee range
company.employee_count_highintegerUpper bound of employee range

Data Object - Current Fields

FieldTypeDescription
data.titlestringEpisode title
data.snippetstringEpisode summary or description
data.websitestringLink to the podcast episode

Data Object - Enrichment Fields

FieldTypeDescription
data.show_namestringName of the podcast show
data.published_atstring (ISO 8601)Episode publication date
data.duration_minutesintegerEpisode length in minutes
data.tagsarray[string]Topic tags extracted from episode content
data.summarystringAI-generated summary of the episode content
data.pain_pointsarray[object]Pain points discussed, with intensity score (0–1)
data.pain_points[].topicstringDescription of the pain point
data.pain_points[].intensityfloatStrength of the signal (0–1)
data.initiativesarray[object]Business initiatives discussed, with urgency score (0–1)
data.initiatives[].topicstringDescription of the initiative
data.initiatives[].urgencyfloatUrgency level (0–1)
data.technologies_mentionedarray[object]Technologies referenced in the episode
data.technologies_mentioned[].namestringTechnology name
data.technologies_mentioned[].statusstringRelationship: using, evaluating, migrating_from, migrating_to
data.competitors_mentionedarray[object]Competitors referenced in the episode
data.competitors_mentioned[].namestringCompetitor name

Example Output

"Loved your insights on the Midstage Startup Momentum podcast about scaling sales operations. The point about narrow focus resonated - would love to share how we're helping teams do exactly that."

Coverage

  • Refresh: Monthly
  • Coverage: 4,000,000 contacts
  • Best for: Executive outreach, thought leadership engagement, C-suite personalization
📘

Coming Q2 2026: Full podcast pipeline with transcript processing, AI enrichment (pain_points, initiatives, technologies_mentioned, competitors_mentioned), and parity with YouTube signal depth. Full transcript delivery also planned.

Contact [email protected] to get started.