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

API Usage

Generate Content API

{
  "enabledInsights": ["socialMediaProspectMentionedInPodcast"],
  "disabledInsights": []
}

Generate Insights API

{
  "insightSubtype": "socialMediaProspectMentionedInPodcast"
}

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.