PodVerified
A comprehensive guest scoring system (0-100 scale) for podcast matching, evaluating guests on authority, influence, performance, and professionalism. Integrates Apollo, ListenNotes, PhantomBuster, and GPT-4 APIs for automated data enrichment. Features weighted scoring algorithms, anti-gaming safeguards, and actionable improvement pathways for guests seeking higher-tier podcast placements.
From the partner
A comprehensive specification and scoring engine for evaluating podcast guests on a 0-100 scale, designed to match guests with podcasts based on their perceived value to hosts rather than vanity metrics. The system evaluates guests across four weighted dimensions:
Authority (35%): Professional role, company credibility, media presence
Influence (30%): Social reach, engagement rates, audience quality
Performance (25%): Podcast appearance history, promotion behavior, profile completeness
Professionalism (10%): Website quality, branding trust signals, presentation
Key technical components:
Multi-API enrichment pipeline (Apollo for professional data, ListenNotes for podcast history, PhantomBuster for social metrics, GPT-4 for subjective analysis)
Non-additive penalty model preventing score gaming
Tier-based matching (Emerging → Established → Respected → Sought-After)
Anti-gaming safeguards with red flag triggers and score suppression logic
Actionable improvement pathways with personalized coaching notes
Airtable serves as the central data store, with Zapier automations and Go HighLevel CRM integration for user communication and tagging based on score tiers.
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Partner details
lowcodeflow
We’re a Softr-focused low-code team building flexible, scalable systems, from custom process flows to customer-facing platforms. We lead discovery, design clean data models, and ship polished apps that reduce manual work and bring clarity to operations.