Social Intelligence
Podcast Appearance Signals
Know when a prospect goes on a podcast, and what they actually said. Autobound transcribes ~39K B2B episodes, resolves guests to real contacts, and extracts verbatim talking points, topics, and business claims across podcastAppearance plus 50 claim subtypes.
Contact-level signals
Transcribed episodes
Signal subtypes
Update frequency
What Are Podcast Appearance Signals?
Podcast appearance signals fire when a tracked contact appears on a podcast episode. Autobound transcribes ~39K B2B episodes, resolves guests against its contact database, and ships each appearance with the episode metadata, the topics discussed, and talking_points: {point, quote} pairs where every quote is verbatim from the transcript. On top of appearances, each on-air business claim lands as its own signal, classified into 50 subtypes shared with our SEC and earnings vocabulary: aiInvestment, techAdoption, painPointDisclosed, executiveOpinion, fundingEvent, and more.
Podcast appearances are unusually strong outreach signals: guests skew heavily toward the C-suite, and a 30-60 minute episode gives you the prospect's actual viewpoints, in their own words, to reference. Reaching out while their words are still fresh turns a cold email into a continuation of a conversation they started.
Example Signal Subtypes
Data Schema
Podcast Signal Data Schema
Real production signal (lightly trimmed). Every quote is verbatim from the transcript; episode_id joins all signals extracted from the same episode.
{
"signal_id": "dca86039-9c23-54d3-b9c2-00eacdb38baf",
"signal_type": "podcast-contact",
"signal_subtype": "podcastAppearance",
"signal_name": "Arundhati Bhattacharya (President & CEO, Salesforce, South Asia @ Salesforce) on CII Podcasts",
"association": "contact",
"detected_at": "2026-08-24T10: 25: 28.000Z",
"contact": {
"name": "Arundhati Bhattacharya",
"email": "a.bhattacharya@salesforce.com",
"job_title": "Chairperson & CEO Salesforce India",
"linkedin_url": "https://in.linkedin.com/in/arundhati-bhattacharya-salesforce",
"seniority": "Cxo"
},
"company": {
"name": "Salesforce",
"domain": "salesforce.com",
"industries": ["Software Development"],
"revenue": "1 Billion and Over"
},
"data": {
"podcast_name": "CII Podcasts",
"episode_title": "India@100: Powering the Future through Digital Acceleration ft Arundhati Bhattacharya",
"episode_url": "https://shows.acast.com/ciipodcasts/episodes/india100-powering-the-future-through-digital-acceleration-ft",
"episode_id": "55821260383", // joins all signals from this episode
"host": "Rajan Navani",
"published_at": "2026-06-05",
"occasion": "Discussing the CII's 'India@100' initiative",
"topics": ["Digital transformation", "AI adoption", "Cloud computing", "Technology policy"],
"talking_points": [
{
"point": "Generative AI has democratized technology, accelerating corporate adoption.",
"quote": "even the input and the output, both of them have been democratized. And because they have been democratized, people are now realizing that this is something that every other person is going to use..."
},
{
"point": "Board-level 'fear of missing out' is driving AI investment.",
"quote": "once you realize that it is something that's here to stay, then there is a huge fear of FOMO that builds up..."
}
],
"is_ad": false,
"transcript_source": "transcript"
// company_snapshot: present when the guest discusses their own company
}
}- GCS Bucket
- gs://autobound-podcast-contact/
- Formats
- JSONL · Parquet
- Refresh
- Weekly
Applications
What teams build with Podcast Appearance Signals (Contact)
03 documented applications
- 01
Warm Outreach to Thought Leaders
Reference the specific episode and the exact quote your prospect said on air. Instead of a cold intro, your email starts with 'Your point on CII Podcasts about boards feeling AI FOMO matched exactly what we're seeing.' That opens doors cold emails can't.
- 02
Content-Triggered Sequences
Build automated sequences that trigger when a target account's executive appears on a show in your category, or when a specific claim subtype fires: painPointDisclosed for the pains you solve, techAdoption for the platforms you complement, aiInvestment for AI budgets in motion.
- 03
Account-Based Personalization at Scale
When you have 200 target accounts and can't manually monitor each contact's media activity, podcast signals surface the ones who are actively engaged in your topic area. Prioritize the accounts whose executives are podcasting about the problems you solve.
Measured, Not Estimated
What's actually inside Podcast Appearance Signals (Contact)
Volumes, subtypes, geography, and join-key fill rates audited directly from our production database, so you can verify coverage before you buy.
Top subtypes
50 totalSeniority
full breakdown →Departments
full breakdown →Join keys
fill rateSee the real records for yourself.
See full coverage & segmentation across all 35 signal types →
Worked Example
One signal, traced to outcome
One Podcast Appearance Signals (Contact) record followed from detection, through the action a rep took on it, to the measured result. Illustrative composite of observed customer workflows.
01 signal → 02 action → 03 outcome
Signal detected
The Chairperson & CEO of Salesforce India appears on CII Podcasts discussing AI adoption, and the signal arrives with her four key talking points, each backed by a verbatim quote.
Action taken
Your AE reads the two-line quotes in the signal - no listening required - and sends an email referencing her specific point about board-level AI FOMO.
Outcome
The reply comes back the same day: she's impressed someone engaged with the substance. The thread turns into a discovery call the following week.
FAQ
Frequently Asked Questions
Which podcasts do you cover?
How quickly do signals appear after an episode publishes?
How are contacts matched to episodes?
Can I filter to specific subtypes?
How It Works
From Raw Data to Your Stack
Autobound ingests from LinkedIn API, Glassdoor, GitHub, Reddit, G2, extracts structured signals with AI, and delivers them however your infrastructure needs.
Autobound Ingests
Raw data from LinkedIn API, Glassdoor, GitHub, Reddit, G2 is continuously collected and normalized across millions of sources.
AI Extracts & Scores
ML models extract 50+ signal subtypes with relevance scoring, confidence levels, and entity resolution.
You Receive
Structured JSONL delivered via your preferred method, updated on a weekly cadence.
REST API
Real-time access with subtype filtering
300 req/minGCS Push
Automated delivery to your bucket
JSONL + ParquetEnrich API
On-demand LLM-ranked insights
AI relevance scoringFlat File
Bulk exports for data warehouses
CSV, JSON, Parquet“By consolidating three data vendors into Autobound's Enrich API, we added 100+ new signal types and saved 4 months of engineering time.”
AiSDR Team
Engineering, AiSDR
Ready to License Podcast Appearance Signals (Contact)?
Custom pricing based on signal types, delivery frequency, and volume. Full schema documentation and integration guides included.