Podcast Mentions (Company)

Overview

Podcast Mentions (Company) surface what's being said about a company on podcasts—strategy, funding, product moves, and pain points, pulled straight from the conversation.

We process episodes across a large catalog of business and industry shows, transcribe them, and extract structured signals about the companies discussed. Each mention is classified into one of 66 subtypes (funding, M&A, product launches, hiring, layoffs, security incidents, and more), with supporting quotes, referenced entities (competitors, vendors, partners), and scores for relevance and confidence.

The result: you know when a prospect just raised money, named a competitor, launched a product, or disclosed a pain point on air—timely, quotable triggers for outreach.

Available Subtypes

Subtype Enum	Category	Description
`acquisitionAnnounced`	strategic	Company announces intent or agreement to acquire another company
`acquisitionCompleted`	strategic	Company completes an acquisition
`aiInvestment`	technology	Company investing in AI capabilities, models, or tooling
`automationInvestment`	technology	Company investing in process or workflow automation
`boardChange`	leadership	Change to the company's board of directors
`bookingsDecline`	financial	Decline in bookings or new business discussed
`capacityConstraint`	operations	Production or service capacity limits
`capexIncrease`	financial	Increase in capital expenditure
`carbonCommitment`	market	Carbon-reduction or net-zero commitment
`cashFlowConcern`	risk	Cash-flow pressure or liquidity concern
`ceoChange`	leadership	CEO transition
`channelShift`	strategic	Shift in go-to-market or distribution channels
`cloudInvestment`	technology	Investment in cloud infrastructure or migration
`companyPodcastAppearance`	market	General appearance or feature of the company on a podcast
`competitorNamed`	competitive	A competitor is explicitly named or compared
`complianceBurden`	risk	Regulatory or compliance burden discussed
`costReduction`	financial	Cost-cutting or efficiency initiative
`ctoChange`	leadership	CTO transition
`customerChurn`	risk	Customer churn or account losses discussed
`customerConcentration`	risk	Revenue concentrated in a small number of customers
`cybersecurityIncident`	risk	Security breach or cyber incident
`cybersecurityInvestment`	technology	Investment in security tooling or programs
`dataInvestment`	technology	Investment in data infrastructure or analytics
`debtRefinancing`	financial	Refinancing or restructuring of debt
`digitalTransformation`	technology	Broad digital-transformation initiative
`divestiture`	strategic	Company divests a business unit or asset
`executiveOpinion`	leadership	An executive shares a notable opinion or point of view
`expansion`	operations	General business expansion
`fundingEvent`	financial	Funding round or capital raise
`growthSignal`	revenue	General growth indicator
`hiringSignal`	workforce	Hiring or headcount growth
`industryPrediction`	market	Prediction about industry direction or the future
`inflationImpact`	risk	Impact of inflation on the business
`internalControlWeakness`	risk	Weakness in internal controls
`internationalGrowth`	operations	Expansion into international markets
`inventoryIssue`	operations	Inventory problem (excess or shortage)
`laborShortage`	workforce	Labor or talent shortage
`layoffs`	workforce	Workforce reductions
`leadershipChange`	leadership	Leadership change other than CEO or CTO
`legacyModernization`	technology	Modernizing legacy systems
`litigationMaterial`	risk	Material litigation or legal action
`logisticsChallenge`	operations	Logistics or shipping challenge
`majorContractLoss`	revenue	Loss of a major contract
`majorContractWin`	revenue	Win of a major contract
`marginPressure`	financial	Pressure on profit margins
`marketExpansion`	market	Expansion into new markets or segments
`marketShareLoss`	competitive	Loss of market share
`painPointDisclosed`	risk	A business pain point or challenge disclosed
`partnership`	strategic	Partnership or alliance announced
`platformStrategy`	technology	Platform or ecosystem strategy
`pricingPressure`	competitive	Pricing pressure discussed
`productLaunch`	technology	New product or service launched
`qualityIssue`	operations	Product or service quality issue
`recurringRevenueShift`	revenue	Shift toward a recurring-revenue model
`regulatoryFine`	risk	Regulatory fine or penalty
`restructuring`	strategic	Organizational restructuring
`restructuringCharge`	financial	Restructuring charge taken
`revenueAcceleration`	revenue	Revenue growth accelerating
`revenueDeceleration`	revenue	Revenue growth slowing
`softwareImplementation`	technology	Implementing new software or systems
`spinoff`	strategic	Spinning off a unit into a separate entity
`strategyShift`	strategic	Notable change in company strategy
`supplyChainDisruption`	operations	Supply-chain disruption
`sustainabilityInvestment`	market	Investment in sustainability or ESG
`techAdoption`	technology	Adoption of a new technology
`techMigration`	technology	Migration between technologies or platforms

Signal Categories

Each signal carries a data.signal_category assigned by the extraction model. Categories are thematic groupings, not a closed enum; the most common are:

Category	Description
`financial`	Funding, capex, cost, margin, debt, and other money movements
`revenue`	Wins, losses, and shifts in revenue trajectory
`strategic`	M&A, partnerships, divestitures, and strategy shifts
`operations`	Capacity, supply chain, logistics, expansion, and quality
`workforce`	Hiring, layoffs, and labor supply
`leadership`	Executive and board changes, executive opinions
`technology`	Product launches, tech adoption, migrations, and IT investment
`market`	Market moves, industry predictions, and sustainability
`risk`	Security, litigation, compliance, churn, and disclosed concerns
`competitive`	Competitor mentions, pricing pressure, and market-share moves

Schema

{
  "signal_id": "b7c1e4a2-9f3d-5e88-a1b6-3c2d4e5f6a70",
  "signal_type": "podcast-company",
  "signal_subtype": "fundingEvent",
  "detected_at": "2026-07-31T00:00:00Z",
  "association": "company",
  "episode_id": "acqrd-2026-07-31-the-saas-revenue-show-ep-214",
  "parent_signal_id": null,
  "company": {
    "name": "Ramp",
    "domain": "ramp.com",
    "description": "Corporate card and spend-management platform for finance teams.",
    "employee_count_low": 1001,
    "employee_count_high": 5000,
    "industries": [
      "Financial Services",
      "Software Development"
    ],
    "linkedin_url": "linkedin.com/company/ramp"
  },
  "data": {
    "podcast_name": "The SaaS Revenue Show",
    "episode_title": "Scaling spend management past $700M in card volume",
    "episode_url": "https://example.com/podcasts/saas-revenue-show/214",
    "headline": "Ramp closed a $200M round to push deeper into AI-driven finance automation",
    "detail": "On the episode, Ramp's CFO described a newly closed $200M growth round earmarked for AI features that auto-categorize spend and flag anomalies, plus expansion of the finance-automation team.",
    "evidence": [
      {
        "speaker_name": "Sarah Chen",
        "speaker_title": "Chief Financial Officer",
        "speaker_company": "Ramp",
        "role": "guest",
        "quotes": [
          "We just closed $200 million, and almost all of it is going into automating the parts of finance nobody wants to do by hand.",
          "The goal is that by next year, month-end close is something the software just does."
        ]
      }
    ],
    "entities_referenced": [
      {
        "name": "Brex",
        "domain": "brex.com",
        "relationship": "competitor",
        "context": "Named while contrasting approaches to spend automation",
        "headline": "Ramp positioned its automation depth against Brex",
        "detail": "The CFO argued Ramp's automation goes further than competing corporate-card products."
      }
    ],
    "source": {
      "episode_date": "2026-07-31T00:00:00Z",
      "podcast_popularity": 0.78
    },
    "entity_type": "company",
    "entity_role": "mentioned",
    "signal_category": "financial",
    "relevance": 0.91,
    "confidence": "high",
    "sentiment": "positive",
    "is_ad": false,
    "metric_dollar_millions": 200.0,
    "metric_pct": null
  }
}

Field Reference

Core Fields

Field	Type	Required	Description
`signal_id`	string (UUID)	✓	Unique identifier for this signal
`signal_type`	string	✓	Always "podcast-company"
`signal_subtype`	string	✓	Specific signal subtype (see allowed values above)
`detected_at`	string (ISO 8601)	✓	Episode publication date
`association`	string	✓	Entity association type - always "company"
`episode_id`	string	✓	Source podcast episode identifier (dedup key)
`parent_signal_id`	string (UUID)		Parent signal when this was expanded from a referenced entity; otherwise null

Company Object

Field	Type	Required	Description
`company.name`	string	✓	Company discussed or appearing
`company.domain`	string	✓*	Company domain (primary match key)
`company.linkedin_url`	string (URL)	✓*	Company LinkedIn URL (alternate match key)
`company.description`	string		Company description
`company.industries`	array[string]		Industry classifications
`company.employee_count_low`	integer		Lower bound of employee-count range
`company.employee_count_high`	integer		Upper bound of employee-count range

^{*A company signal requires at least one of domain or linkedin_url.}

Data Object

Field	Type	Required	Description
`data.podcast_name`	string	✓	Name of the podcast show
`data.episode_title`	string	✓	Title of the episode
`data.episode_url`	string (URL)		Link to the episode
`data.headline`	string	✓	One-line takeaway (≤120 chars)
`data.detail`	string	✓	Fuller description of what was said and why it matters
`data.evidence`	array[object]	✓	Supporting quotes with speaker attribution (see Evidence Object)
`data.entities_referenced`	array[object]		Other companies/entities named in the discussion (see Entity Object)
`data.source`	object		Episode metadata (see Source Object)
`data.entity_type`	string		Type of entity the signal is about (`company`, `government`, `organization`, `individual`)
`data.entity_role`	string		Role in the episode (`guest`, `mentioned`)
`data.signal_category`	string		Model-assigned theme for the signal (see Signal Categories)
`data.relevance`	float		Relevance / actionability score (0.0-1.0)
`data.confidence`	string		Extraction confidence (`high`, `medium`, `low`)
`data.sentiment`	string		Sentiment of the mention (`positive`, `neutral`, `negative`)
`data.is_ad`	boolean		Whether the mention came from an ad/sponsor read
`data.metric_dollar_millions`	float		Dollar figure referenced, in millions USD (when stated)
`data.metric_pct`	float		Percentage figure referenced (when stated)

Evidence Object

Field	Type	Description
`evidence[].speaker_name`	string	Name of the person quoted
`evidence[].speaker_title`	string	Speaker's job title
`evidence[].speaker_company`	string	Speaker's company
`evidence[].role`	string	Speaker role (`guest`, `host`, `analyst`, `correspondent`)
`evidence[].quotes`	array[string]	Verbatim quotes supporting the signal

Entity Object (`entities_referenced[]`)

Field	Type	Description
`entities_referenced[].name`	string	Name of the referenced entity
`entities_referenced[].domain`	string	Domain of the referenced entity (nullable)
`entities_referenced[].relationship`	string	Relationship to the subject (`vendor`, `new_vendor`, `former_vendor`, `displaced_vendor`, `replacement_vendor`, `customer`, `former_customer`, `competitor`, `partner`, `acquisition_target`, `acquirer`, `vendor_evaluated`, `investor`, `other`)
`entities_referenced[].context`	string	Why the entity was mentioned
`entities_referenced[].headline`	string	One-line takeaway about the referenced entity
`entities_referenced[].detail`	string	Fuller description of the reference

Source Object

Field	Type	Description
`source.episode_date`	string (ISO 8601)	Publication date of the episode
`source.podcast_popularity`	float	Relative popularity of the show (0.0-1.0)

Coverage

Refresh: Monthly
Association: Company-level
Subtypes: 66

Next: Data Activation Guide — Playbooks for turning podcast signals into personalized outreach and competitive intelligence.