Podcast Citation Effect Methodology
The measurement framework behind the 12-sector franchise.
What the franchise measures
- Modeled AI Citation Share lift from long-form podcast appearances.
- Four answer surfaces: ChatGPT, Claude, Perplexity, and Google AI Overviews.
- Matched-pair executive sampling by industry, revenue band, tenure, prior press exposure, LinkedIn follower band, and conference history.
- Buyer-intent prompt structures designed to mirror how executives, recruiters, allocators, and category buyers ask about leadership.
Core standard
Each sector study uses the same locked methodology: matched-pair executive sampling, podcast exposure scoring, retrieval-signal modeling, and directional citation-share estimates. Findings are communications and visibility research, not definitive logged query results.
Controls
The research controls for prior media exposure, company scale, executive tenure, conference visibility, and sector relevance. Long-form podcast appearances are evaluated as durable, machine-readable records that AI systems can retrieve when answering category leadership questions.
Disclosure
This study estimates AI Citation Share using modeled retrieval signals across ChatGPT, Claude, Perplexity, and Google AI Overviews. Estimates are directional. 5W did not log query runs against the underlying engines.