The Opportunity
Most podcast About pages are generic bios that AI search engines ignore. When someone asks ChatGPT "What are the best podcasts about [your topic]?", your show isn’t mentioned—because AI can’t extract structured, citable information from your current page.
You shouldn’t need to know what JSON-LD schema is, how to structure content for generative engines, or what E-E-A-T signals matter. That’s our job.
How It Works
Four phases. One conversation. A complete About page optimized for AI.
Smart Data Pre-Population
Select your podcast and we auto-fill your description, brand keywords, hosts, genres, and website URL. Optionally paste an existing About page URL—hosting platforms like Libsyn and Captivate are auto-detected and skipped.
AI Pre-Research + Guided Chat
Before the conversation starts, AI researches your host—scraping your website, reading your existing About page, and searching for professional credentials. The chat opens already knowing your background, confirming rather than interrogating.
HVAC Formula Generation
Your complete About page is generated using the evidence-based HVAC formula: Hook (show introduction), Value (audience & topics), Authority (host bio with E-E-A-T signals), and CTA (subscribe action)—plus an FAQ section.
Review, Edit & Export
View your page in three tabs: Rendered Preview, Raw HTML, and JSON-LD Schema. Edit inline with a rich text editor. Export for your platform—Generic HTML, WordPress, or Wix—then copy or download.
Why It Works
Every feature is designed to make your About page the authority source AI search engines trust.
GEO-Optimized for AI
Self-contained paragraphs AI can extract and cite independently. Front-loaded information with H2 headings phrased as questions—matching how people and AI ask queries.
3 Types of JSON-LD Schema
PodcastSeries (defines your show as a structured entity), Person (host with knowsAbout for E-E-A-T), and FAQPage (auto-extracted for rich results).
Brand Keyword Integration
Your brand keywords are automatically woven into every section. See exactly how many were integrated with an optimization evidence checklist.
AI Pre-Research
The AI researches your host before the conversation begins—finding credentials, website content, and existing About page. Shorter conversations, better content.
Show-First Structure
Based on research: visitors ask "Is this for me?" before "Who makes this?" Your podcast’s value proposition leads; host bio provides supporting credibility later.
Platform-Ready Export
Export as Generic HTML (copy-paste anywhere), WordPress (with JS injection for JSON-LD), or Wix. Download as an .html file or copy with one click.
What Gets Generated
A complete About page following the HVAC formula—six optimized sections.
Show Introduction (Hook)
A 40-80 word entity definition answering "What is [Podcast Name]?" — designed so AI can extract and cite it independently.
Value Proposition & Audience
Who your podcast is for and what listeners gain. Structured so AI understands your target audience and unique positioning.
Topics & Format
3-4 core topic areas with episode format details. Gives AI the context to recommend your show for specific queries.
Host Bio (Authority)
Third-person credentials with E-E-A-T signals. Establishes trust so AI engines rank your content as authoritative.
FAQ Section
5-7 natural-language Q&As with auto-generated FAQPage schema. Matches how people and AI ask questions about podcasts.
Subscribe CTA
A clear call to action that drives listeners to subscribe, with links to your preferred platforms.
Optimization Evidence
After generation, see exactly what was optimized—no guesswork.
- Brand keywords integrated (e.g., "8 of 10 keywords used")
- JSON-LD schema types present (PodcastSeries, Person, FAQPage)
- GEO question headings verified
- HVAC structure confirmed (Hook → Value → Authority → CTA)
- FAQ section with N Q&As generated
- Word count in optimal range (800-1,500 words)
- Version history saved for future reference