Social Intelligence
Podcast Mention Signals (Company)
Every time a company gets discussed on a B2B podcast - by its own execs or by customers, partners, and competitors - Autobound extracts the business claim, the verbatim quote, and who said it, across 66 subtypes.
Company-level signals
Companies covered (all podcast signals)
Signal subtypes
Update frequency
What Are Company Podcast Mention Signals?
Company podcast mention signals fire when a company, its products, or its market is discussed on a transcribed B2B podcast episode. Each distinct on-air business claim lands as its own signal, classified into 66 subtypes shared with our SEC and earnings vocabulary - aiInvestment, techAdoption, partnership, marketExpansion, painPointDisclosed - plus companyPodcastAppearance for episodes featuring the company itself and sponsorship reads mapped to the sponsoring brand.
The killer field is speaker_relation: it tells you whether the claim came from the company's own team or from a third party. A partner saying 'we're one of their exclusive tech partners and they have 300 facilities' is independent evidence of scale and stack you can't get from a website - and it's a natural door-opener.
Example Signal Subtypes
Data Schema
Company Podcast Signal Schema
Real production signal (lightly trimmed): a partner discussing Argus on air - third-party evidence of the company's footprint and tech stack, with the verbatim quote.
{
"signal_id": "4bcf2845-d57d-5480-b390-f5c0dd6321ca",
"signal_type": "podcast-company",
"signal_subtype": "techAdoption",
"signal_name": "Argus Self Storage · techAdoption · ongoing_state (2026-07)",
"association": "company",
"detected_at": "2026-08-24T10: 25: 28.000Z",
"company": {
"name": "Argus Self Storage",
"domain": "argus-selfstorage.com",
"industries": ["Leasing Real Estate"],
"employee_count_low": 101,
"employee_count_high": 250,
"revenue": "25 Million to 50 Million"
},
"data": {
"headline": "Argus Self Storage · techAdoption · ongoing_state (2026-07)",
"quotes": [
"we work with some large operators like Argus. We're one of their exclusive tech partners and they have, you know, 200, 300 facilities and we love them."
],
"speaker": "Tommy Nguyen",
"speaker_relation": "counterparty", // own_company | counterparty | third_party
"timing": "ongoing_state",
"event_date": "2026-07",
"podcast_name": "The Storage Rebellion",
"episode_title": "SE2 EPISODE 4: Marketing Is the Easy Part. Building a Great Business Is Hard | Tommy Nguyen (StoragePug)",
"episode_url": "https://podcasters.spotify.com/pod/show/chris832/episodes/...",
"episode_id": "57903744797", // joins all signals from this episode
"published_at": "2026-07-21",
"is_ad": false,
"transcript_source": "transcript"
}
}- GCS Bucket
- gs://autobound-podcast-company/
- Formats
- JSONL · Parquet
- Refresh
- Weekly
Applications
What teams build with Podcast Mention Signals (Company)
03 documented applications
- 01
Third-Party Evidence for Account Research
speaker_relation separates what a company says about itself from what customers, partners, and competitors say about it on air. Independent claims about scale, stack, and momentum are the highest-trust research input your reps can get without a discovery call.
- 02
Catch Buying Conditions as Claims
Filter to the claim subtypes that map to your trigger events: painPointDisclosed, techMigration, legacyModernization, fundingEvent, expansion. Each one arrives with the verbatim quote, so the outreach writes itself.
- 03
Sponsorship Intelligence
Ad reads are extracted verbatim and mapped to the sponsoring company. See which brands are spending on which audiences - useful for partner scouting, competitive watch, and media planning.
Measured, Not Estimated
What's actually inside Podcast Mention Signals (Company)
Volumes, subtypes, geography, and join-key fill rates audited directly from our production database, so you can verify coverage before you buy.
Top subtypes
66 totalGeography
all 67 countries →Top industries
all industries →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 Mention Signals (Company) 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
A storage-tech founder tells a podcast host that Argus Self Storage is one of his exclusive tech partners with 200-300 facilities - a third-party claim about Argus's scale and stack.
Action taken
Your rep gets the techAdoption signal with the verbatim quote and speaker_relation: counterparty, and opens with the partner's own words.
Outcome
The prospect confirms the footprint on the first call - the rep already knew the stack, the scale, and the tone to take.
FAQ
Frequently Asked Questions
How is this different from the contact-level podcast signals?
What does speaker_relation mean?
How fresh is the data?
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 66 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 Mention Signals (Company)?
Custom pricing based on signal types, delivery frequency, and volume. Full schema documentation and integration guides included.