Social Intelligence
Podcast Appearance Signals
Published Updated
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 43 subtypes: podcastAppearance plus 42 claim subtypes.
- Contact-level signals
- 50,000+
- Transcribed episodes
- ~39,000
- Signal subtypes
- 43 (podcastAppearance + 42 claims)
- Delivery
- REST API, GCS Push, Generate Insights API, Flat File
- Format
- JSONL or Parquet
- Bucket
- gs://autobound-podcast-contact/
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 42 claim subtypes shared with our SEC and earnings vocabulary: strategicInitiative, painPointDisclosed, marketExpansion, aiInvestment, careerHistory, 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 subtypes
From a podcast episode 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.
Sales, marketing and RevOps: Slack, CRM fields and plays.
0103
Prospects talk on podcasts
We transcribe B2B episodes, match guests to real contacts, and keep their talking points with verbatim quotes.
- Podcast
- We detectPodcast
- You getSignal record
- You actSlack, CRM or agent
PodcastJun 5, 2026India@100: Powering the Future through Digital Acceleration ft Arundhati Bhattacharya
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...
ExtractedSalesforcesalesforce.comcompanyArundhati BhattacharyacontactPodcast appearancesignal_subtype0203
You get one clean record
Each record names the person, their title and company, labels the event, and links back to the source.
- Signal record
- We detectPodcast
- You getSignal record
- You actSlack, CRM or agent
Signal recordSalesforce
salesforce.comSoftware Development
Arundhati BhattacharyaChairperson & CEO Salesforce India
Podcast appearancepodcastAppearanceArundhati Bhattacharya on CII Podcasts: India@100: Powering the Future through Digital Acceleration ft Arundhati Bhattacharya
“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...”
- Host
- Rajan Navani
- Detected
- Aug 24, 2026
signal_id dca86039…
0303
Act on it where you work
Send it to Slack, write it to your CRM, or give it to an AI agent.
- When
- A target exec's
talking_pointsname a pain you solve - Do
- Email that quotes their on-air point
- Your team acts
- We detectPodcast
- You getSignal record
- You actSlack, CRM or agent
or your own code#account-signalsSignal alert from your workflow
Arundhati Bhattacharya, Salesforce· Podcast appearance
Arundhati Bhattacharya on CII Podcasts: India@100: Powering the Future through Digital Acceleration ft Arundhati Bhattacharya
Play: Email that quotes their on-air point
Start the playOpen the sourceIllustration. The record fields are real.
0103
Prospects talk on podcasts
We transcribe B2B episodes, match guests to real contacts, and keep their talking points with verbatim quotes.
0203
It lands in your stack
Land JSONL from your GCS bucket. Join on
contact.linkedin_url; group byepisode_id.0303
Ship it in your product
Give
talking_pointsto your AI writer as verbatim context.
- Podcast
- We detectPodcast
- You getSignal record
- You actSlack, CRM or agent
India@100: Powering the Future through Digital Acceleration ft Arundhati Bhattacharya
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...
Step 1 of 3: Prospects talk on podcasts
Try it on your own accounts
1,000 free credits. Query podcast-contact in the Signal API or from Claude.
How we build this signal
How we build each podcast appearance signal
Every week, episodes pass through five stages before a guest appearance ships.
- 01
Show and episode selection
We start from about 22,600 B2B podcast feeds. A model grades each show, and a second pass gates each episode before we pay for transcription.
- 02
Transcription and extraction
Each episode that passes is transcribed. A model pulls each business claim with a verbatim quote, the speaker, and the speaker's tie to the company: own team, customer or partner, or third party.
- 03
Company check
Deterministic rules flag likely wrong company attributions, and a model judges each flagged row. Rows that fail are dropped before matching.
- 04
Matching
Companies are matched to their official site by web search, with social and wiki pages filtered out, and a verification judge confirms each match. People are matched to LinkedIn the same way. When unsure, the matcher abstains.
- 05
Dedup and review
Repeated claims are merged across the run, and one sponsor read is one signal, never several rewritten variants. A person reviews each staged weekly batch before it publishes.
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***@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
}
}Bulk data
Need this signal for 10,000+ companies?
Get a free sample file or a bulk feed (API, GCS push, flat file). The sample is real Podcast Appearances records, as a CSV.
Measured coverage
What's inside Podcast Appearance Signals (Contact)
A dated snapshot counted in our production database, not a live count. Minimums, not ceilings.
Seniority
full breakdown →Departments
full breakdown →Join keys
fill rateSee for yourself
Check out sample data: real Podcast Appearance records with the same fields the API returns.
“Autobound's API streamlined our data management, accelerated product development, and improved outreach quality.”