Brand Health
Podcasting is the most intimate medium in the marketing mix, but for years, it has been a "black box" for data. Agencies and brands have struggled to measure the quality of engagement and the safety of the environment.
Our platform changes that. By processing audio at the phoneme level, we provide the same granular analytics for spoken word that you expect from text. Whether you are an agency justifying spend or a brand protecting your reputation, our suite delivers the two most critical metrics in modern audio: Deep Sentiment Analysis and Contextual Brand Safety.
Sentiment Analysis - Go Beyond "Positive vs. Negative." Understand the "Why."
Standard sentiment analysis fails with audio because it misses tone, sarcasm, and specific context. We utilize a multi-layered approach inspired by industry leaders like SemanticForce to break down listener and host sentiment into actionable categories.
Aspect-Level Sentiment (ALSA): Don't just know if a podcast episode was positive—know what they liked. Our AI isolates specific aspects of your product or campaign (e.g., "Pricing," "Usability," "Customer Service") mentioned by hosts or guests and assigns a sentiment score to that specific feature, not just the overall conversation.
Intent Detection: Turn listeners into leads. We analyze conversations for signals of commercial intent. Our system flags phrases that indicate a need or a purchase decision (e.g., "I've been looking for a tool that handles..." or "Does anyone know a good alternative to...?"), allowing you to identify high-potential sponsorship opportunities.
Host vs. Guest Segmentation: A host might love your product, but a guest might be critical. We separate the sentiment streams, allowing you to vet future partners based on their consistent advocacy, rather than one-off guest comments.
Emotion & Tone Analysis: Words only tell half the story. Our audio-first engine analyzes acoustic features—pitch, pace, and pause—to detect underlying emotions like excitement, hesitation, sarcasm, or trust. This ensures you aren't sponsoring a "positive" mention that was actually delivered sarcastically.
Brand Safety - Protect Your Brand Without Sacrificing Reach
The old method of "keyword blocking" kills campaign performance. Blocking the word "shoot" might protect you from violence, but it also blocks you from a photography podcast. Our Brand Safety engine uses Contextual Intelligence to understand the meaning behind the words.
GARM-Aligned Suitability Categories: We automatically map every episode to the Global Alliance for Responsible Media (GARM) safety standards. Filter inventory instantly across 12 key categories, including:
Arms & Ammunition
Debated Sensitive Social Issues
Crime & Harm (Distinguishing "True Crime" entertainment from real-world violence promotion).
Brand Suitability Tiers (Low, Medium, High Risk): Not every brand needs the same safety floor. Define your "Risk Tolerance" profile.
Strict: For family-friendly brands requiring G-rated environments.
Standard: For brands comfortable with news and mature discussions.
Edgy: For brands willing to sponsor "unfiltered" comedy or raw conversations.
Topic & Semantic Exclusion: Go beyond keywords. If you are an airline, you don't just want to avoid the word "crash"—you want to avoid episodes discussing travel anxiety or lost luggage horror stories. Our semantic engine understands these concepts and steers your ad placements away from them, ensuring your message lands in a brand-affirming environment.
Pre-Bid & Post-Campaign Verification: For Agencies: Verify safety before you buy. Scan a show's entire back catalog in minutes to flag historical risks. For Brands: Receive a "Safety & Suitability" audit report after every campaign, proving that 100% of your impressions were delivered in safe, aligned environments.
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