Executive Summary

Podcasts increasingly reference books, but publishers, authors, agents, and marketing teams lack a scalable, reliable way to find those mentions, attribute promotional impact, or prioritize outreach across thousands of episodes. That gap in discoverability and measurable ROI leads to missed sales opportunities, inefficient marketing spend, and an inability to quantify which podcast placements actually move copies. You could build a focused index that processes podcast transcripts with modern ASR and LLM-based entity extraction to detect book mentions, link them to ISBN/ASIN and metadata, capture timestamps, sentiment and contextual snippets, and expose the results via a dashboard and API for alerts, attribution reports, and campaign measurement. With current transcription quality improvements and cheaper LLM inference, per-episode processing costs are low enough to scale to millions of episodes and deliver near-real-time monitoring. This addresses an addressable $2.4B niche (about 2% of the $120B global publishing industry) where publishers are explicitly demanding measurable ROI from marketing channels—market score 84/100 and revenue potential 86/100 indicate strong commercial demand and a moderately competitive landscape. A differentiated product would combine high-precision edition-level linking, publisher-ready attribution dashboards, and integrations with sales data to prove uplift while using batching and LLMs to keep unit costs low. The main challenges are noisy transcripts, entity disambiguation, and licensing/rights considerations, but those are solvable with targeted partnerships, metadata agreements, and conservative accuracy SLAs.

Market Opportunity

Find and analyze which books are mentioned across podcast episodes targets a $2.4B = 2% of $120B global publishing industry allocated to analytics and marketing tools total addressable market with medium saturation and a year-over-year growth rate of 12% CAGR estimated for podcast advertising and discovery channels, per industry reports (Edison Research/IFPI trends aggregated).

Key trends driving demand: Podcast listenership and episode output continue to grow, which increases the volume of discoverable mentions and the need for scalable indexing.; Publishers are demanding measurable ROI from marketing channels, which creates demand for attribution and mention-tracking tools focused on books.; Improvements in transcription quality and LLM extraction reduce per-episode processing cost and increase the feasibility of building focused indexes.; Shift to creator monetization and sponsorships makes context-aware mentions more valuable to PR teams seeking targeted placements..

Key competitors include Listen Notes, Podchaser, Descript.

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Find and analyze which books are mentioned across podcast episodes

Executive Summary

Market Validation

Market Opportunity

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