You’ve Probably Been on 100+ Podcasts and Don’t Know It — Here’s Why That’s a Gold Mine

Search the sources → Verify each appearance → Remove repeat entries → Save one inventoryFollow the source labels in order. The numbered path runs across the top row, then returns to the lower left and continues right.Search thesourcesVerify eachappearanceRemove repeatentriesSave oneinventory
Only checked appearances belong in the shared list.

Find past podcast talks that can help show your work. This guide helps you and your team search for them, check each match, and remove repeats. Start with your name and the shows you know, then keep the proof for each entry.

This guide is part of The Content Factory: How to Turn One Video Into Dozens of Assets That Build Trust and Drive Revenue (our four-stage process for using real content). Next, explore How We Use Podchaser to Amplify Authority and Repurpose Podcast Content, or How We Use Listen Notes to Find, Track, and Repurpose Every Podcast Appearance.

Where this task fits in the Content Factory

This task belongs in Process. Its inputs come from the linked work below; its checked result becomes the next worker’s starting point.

1. ProduceCapture real work
THIS TASK2. ProcessTurn sources into useful assets
3. PostPublish and connect approved assets
4. PromoteShare proven work and measure results
Follow the numbered stages from Produce to Promote. Each stage links to its part of the Content Factory guide.

Start, finish, and next step

Start when
Guest appearances are scattered across platforms, host sites, and first-party records.
Have ready
  • Exact name, name variants, companies and known topics
  • Five-tab podcast workbook
  • Source pages and first-party appearance records
Follow the steps
  1. Search each listed platform and first-party source
  2. Record episode, show, date, role and direct source URL
  3. Deduplicate and verify actual appearances
  4. Reconcile workbook totals and flag repurposing candidates

Use the detailed instructions in this article for each step.

Finish with
One deduplicated, source-backed inventory of the person’s podcast appearances.
Measure the result
  • Accepted rows identify a real guest, host or credited creator
  • Cross-platform totals are reconciled rather than added
  • Workbook URL is included in the work report
Hand off next
Use the linked channel-inventory task when a YouTube channel needs full extraction; choose verified episodes for transcription and repurposing.

Related tasks

Open this article’s tasks in the Task Library (our directory of tasks and recipes; see current Task Library). The library connects the current recipe, its smaller tasks, and the records of work performed.

Close the learning loop. Write a meta article: the record of this execution with the starting state, recipe version, result, checks, failures, and next owner. Link it back to this recipe and register the run under the same Task Library task. Reuse one execution ID for revisions and retries. A partial or failed run stays labeled that way. Public release follows the recorded publication authority; writing the run record is part of doing the task. Writing and revising that record belong to the original execution; they do not start another meta-article task. Use the findings to propose and verify a recipe improvement. See how recipes and execution records work together.

Definitive SOP1 meta-article · Emerging Canonical task page · Task Library · Content Factory / Process

Outcome: One deduplicated, source-backed inventory of every podcast appearance across Listen Notes, Podchaser, YouTube, host sites, and first-party records.

Start the multi-platform inventory → Download the five-tab workbook

Use this when
Appearances are scattered across platforms and archives.
Deliverable
One list of canonical URLs, roles, dates, evidence, and status.
Definition of done
Source totals reconcile; uncertain matches are flagged.

Last reviewed August 22, 2026. Source totals are time-specific; the verification rules are the definition of done.

Where This Task Fits in the Content Factory

This is a Process-stage inventory task. It starts with podcast source material, turns that material into a verified Content Library record, and uses YouTube as a discovery surface. The highlighted boxes show that path without pretending this task performs the later Promote stage.

Highlighted path: podcast source → verified Content Library inventory → YouTube search surface. YouTube is a source channel in this SOP, not a publish action. Discovery tools feeding this path: the Listen Notes discovery workflow and the Podchaser credit-verification workflow. Swipe the diagram to see all four stages.
The Multi-Platform Podcast Inventory ProcessPodchaserListen NotesYouTubeOwlTailApple PodcastsDeduplicate & MergeFuzzy match by date + show nameMaster Inventory700+ unique episodes across 353+ podcastsEach platform catches episodes the others miss — you need all five

Our Listen Notes inventory workflow surfaced 477 time-specific results for my name, while our Podchaser credit workflow showed 608 credits across 353 podcasts in the original capture. Those are discovery queues, not additive or automatically verified totals; systematic review has individually cataloged 241+ appearances.

The sources disagree because they discover different evidence. A one-platform search is therefore a lead list, not an inventory; the workflow below reconciles the gaps.

Audience, source evidence, ROI, and where hidden episodes are found

Who This Guide Is For

Business owners and personal brands: Use this guide when years of guest appearances are scattered across podcast platforms, YouTube, host websites, and old show notes. The outcome is one deduplicated authority inventory that can be repurposed and cited.

Operators and AI agents: Follow the source hierarchy, record canonical URLs, and flag uncertain matches. A name mention is not a guest appearance.

Task Checklist

  1. List the person’s exact name, name variants, companies, and known topics.
  2. Search Listen Notes, Podchaser, YouTube, Google, host sites, and first-party records.
  3. Record the episode title, show, date, host, direct URL, platform evidence, and repurposing status.
  4. Deduplicate by canonical episode URL and verify the person was a guest, host, or credited creator.
  5. Reconcile totals and include the final workbook URL in the work report.

Why This Content Is a Gold Mine

Every time you appeared on a podcast, a host introduced you as an expert, asked you real questions about your craft, and published that conversation to their audience. That episode lives on a platform with backlink potential. It has your name, your expertise, and your story embedded in it.

The ROI of inventorying your podcast appearances is enormous because you’re not creating anything new — you’re harvesting what already exists. Each episode can become multiple pieces of content:

Episodes that live only on Spotify can be repurposed to YouTube as video podcasts. Episodes already on YouTube can be clipped into 60-second highlights for Reels, Shorts, and TikTok. Full episodes can be transcribed and turned into long-form articles — which is exactly what we do through the Content Factory. Key moments become quote graphics. And any episode with strong content can be boosted with paid ads to extend its reach far beyond the original audience through our Dollar a Day strategy.

A 30-minute podcast episode typically yields 4,000–6,000 words of transcript — enough for 2–3 blog articles. Multiply that across 100+ appearances and you’re sitting on a content library most brands would spend years and tens of thousands of dollars to build from scratch.

The point isn’t to get on more podcasts — although that’s great too. The point is to squeeze every drop of value from the appearances you’ve already made. Most entrepreneurs are sitting on hundreds of pieces of untapped content and don’t even know it.

The Numbers Don’t Lie: What We Found Across Multiple Clients

This isn’t hypothetical. Here’s what happened when we actually ran the inventory for real people.

In the captured evidence, Listen Notes returned 477 time-specific search results while Podchaser showed 609 credits across 353 podcasts. These are different discovery sets, not additive unique-episode totals. Hundreds of those had never been repurposed into articles, clips, or boosted with ads. For details on how we processed Dennis Yu’s Listen Notes data, see our Listen Notes deep dive. For the Podchaser side — including how we used Claude in Chrome to process 500+ suggested credits — see our Podchaser deep dive.

For Bryan Eisenberg, we analyzed 234+ podcast appearances using AI and found episodes on platforms he didn’t even know had published his content.

For George Leith, we built a full podcast inventory that surfaced guest appearances dating back years — each one a dormant relationship and a dormant piece of authority content.

In every case, the inventory revealed episodes that the person had forgotten existed — content that was already working but hadn’t been amplified.

Diagram showing overlap and gaps across podcast discovery platforms
No single database is complete. Cross-platform overlap is why the workflow keeps source URLs and a deduplication key.
Listen Notes Dennis Yu search results and transcript match
Listen Notes discovers metadata and transcript mentions; review each candidate before accepting it as an appearance.
Dennis Yu Podchaser profile with 609 credits
Podchaser’s credited-creator evidence complements Listen Notes but requires false-positive review.
Podcast Inventory Google Sheet Summary tab with formula totals and definition of done
The formula-driven Summary tab reconciles episode count, duration, views, guest records, playlist count, and cross-platform records.

Where Your Hidden Episodes Are Hiding

Your appearances are spread across more platforms than you think, and no single source catches them all. Here’s why:

Listen Notes searches RSS metadata and transcripts, so it casts a broad net but still misses appearances whose metadata omits your name. Our full Listen Notes walkthrough covers exact-name search, Listen Scores, clips, export, and verification.

Podchaser organizes creator credits rather than relying only on transcript mentions, so it surfaces a different set. Our full Podchaser walkthrough covers profile verification, credit review, and AI-assisted false-positive triage.

ChatGPT and Claude with web search pull from show notes, blog posts, and social media mentions that dedicated podcast databases miss. They’re not perfect, but they fill gaps — especially for older episodes or shows that have been removed from major directories.

YouTube catches video podcast appearances that may not be indexed on any audio platform — especially from hosts who publish only to YouTube and never submit to podcast directories.

The host’s own website often has embedded episodes or a dedicated podcast page that links to appearances not indexed elsewhere.

Each source catches things the others miss. That’s why a real inventory requires checking all of them. For the exact article on how to find appearances that aggregators miss entirely, see How to Find 62+ Hidden Podcast Appearances That Aggregators Miss.

What to Do Once You Have the Inventory

The inventory is the launchpad, not the destination. Once you have the consolidated list, the real compounding begins:

Episodes that live only on audio platforms can be repurposed to YouTube — even simple audiogram-style videos work. Episodes already on YouTube can be clipped into short-form content for every social platform. Full episodes can be transcribed and turned into long-form articles. Key moments become quote graphics. Popular episodes that already perform well can be boosted with even a dollar a day in ad spend to reach thousands more people.

Your guest list is also a relationship database. Every person who hosted you or appeared on your show is a warm contact for follow-up episodes, cross-promotion, and content collaboration. The inventory turns forgotten appearances into an active network.

Sort by date to find your most recent and relevant appearances. Identify which episodes have video versus audio only. Spot which ones have never been turned into articles or clips. Prioritize the top 20% by engagement for immediate repurposing and ad spend.

Ready to Build Yours? Here’s the Full SOP

Start with the reusable workbook: download the five-tab Podcast Inventory Template. The formulas and definition of done make the handoff auditable.

If you’re convinced — and you should be — the next step is actually building the inventory. We’ve documented the complete step-by-step process with every click, every column, every tool, and a 16-point verification checklist:

How to Inventory a Podcast on YouTube: The Definitive SOP — this is the operator’s manual. Hand it to a VA, an AI agent, or follow it yourself. It covers YouTube channel extraction, cross-platform discovery via Listen Notes and Podchaser, guest identification and research, transcript extraction, Google ranking checks, engagement metrics, and the 5-tab Google Sheet structure that organizes everything. That guide takes you from zero to a complete, verified inventory.

If you’re inventorying a YouTube channel specifically (not just your personal appearances across platforms), that SOP is your starting point. If you want to go deeper on the individual tools, start with the dedicated walkthroughs:

How We Use Listen Notes to Find, Track, and Repurpose Every Podcast Appearance — the Listen Notes deep dive with search techniques, Listen Score ratings, CSV export, and the Clip feature.

How We Use Podchaser to Amplify Authority and Repurpose Podcast Content — the Podchaser deep dive with profile verification, credit claiming, and AI-assisted processing.

How to Find 62+ Hidden Podcast Appearances That Aggregators Miss — for the appearances that slip through every database.

Our Latest Inventory Results (March 2026 Update)

After running our full multi-platform inventory process, here’s what we found across Dennis Yu’s podcast appearances:

PlatformResults
Podchaser credits608 across 353 podcasts
Listen Notes episodes477
Individually verified & cataloged241+
Estimated true total860+

The gap between “individually verified” (241) and “total credits” (608) represents the work still ahead — and it’s exactly why this process matters. Every unverified episode is a missed opportunity for a blog post, a backlink, a collaborator credit request, or an LLM citation.

What we found by going beyond aggregators:

  • 32 episodes that existed ONLY on show websites (not indexed by Listen Notes or Podchaser)
  • 18 Conquer Local Think Tank episodes where Dennis was host/co-host
  • 29 Marketing Mechanic episodes on Dennis’s own channel
  • 3 episodes discovered through Google Drive archives (including a James Altucher co-appearance)
  • 7 episodes on niche industry podcasts (veterinary, fitness, landscaping, remodeling, pest control, senior living, legal)

The lesson: no single platform catches everything. You need Listen Notes + Podchaser + YouTube + manual web search + your own records. See the full master list of all 608 Dennis Yu podcast appearances for the complete inventory.

Start Today

You don’t need to clear your schedule. Search your name on Listen Notes right now — it takes 10 seconds. Look at that number. That’s how many pieces of authority content are sitting dormant under your name.

Then search Podchaser. Compare the numbers. They won’t match, and the gap between them represents content you didn’t even know existed.

Once you see the scale of what you’re sitting on, you’ll understand why a systematic inventory is one of the highest-ROI things you can do. The content is already created. The authority is already built. You just need to find it, organize it, and put it to work.

For a deeper dive on the complete podcasting framework — from starting a podcast to repurposing episodes at scale — see our Definitive Guide to Podcasting.

This article connects to BlitzMetrics processes including one-minute video, Dollar a Day, SEO Tree (how content links to its main topic). Each of these concepts has a definitive article that explains the full framework.

Verification Checklist

Before considering your podcast inventory complete, confirm the following:

  • #1. Searched Listen Notes for all name variations and show titles
  • #2. Searched Podchaser and claimed or verified your guest profile
  • #3. Searched YouTube for video podcast appearances not indexed on audio platforms
  • #4. Cross-referenced results across platforms to deduplicate entries
  • #5. Checked host websites and show notes pages for unlisted episodes
  • #6. Recorded episode title, date, platform, URL, and host name for each appearance
  • #7. Identified top 20% of episodes by engagement for priority repurposing
  • #8. Flagged episodes with video versus audio-only for repurposing decisions

Related Resources

Download the skill file: podcast-appearance-syndicator.skill.zip — install it in Claude and it executes this entire workflow (5-platform inventory, credit triage, appearances page, citation syndication) for you or your clients. Setup directions: dennisyu.com/dealcon.

This article is part of the BlitzMetrics knowledge system. Every task we perform has a definitive article — a single web page that documents exactly how the task is done, complete with diagrams, checklists, and verification steps. All definitive articles are indexed in the Task Library, which serves as the table of contents for every documented process.

Podcast Inventory Guides

How We Document and Improve Our Work

Video Demonstration

Watch the agent walkthrough. It shows the multi-platform discovery queue, false-positive rule, canonical fields, deduplication step, and final reconciliation.

Agent walkthrough — narrated slideshow. The visuals are authentic task evidence, the narration is a system voice, and the captions document the operator sequence without claiming this is a live human screen recording.

Browse the full inventory: Dennis Yu — Complete Podcast & Appearance Directory

Originally published .

Dennis Yu
Dennis Yu
Dennis Yu is the CEO of Local Service Spotlight, a platform that amplifies the reputations of contractors and local service businesses using the Content Factory process. He is a former search engine engineer who has spent a billion dollars on Google and Facebook ads for Nike, Quiznos, Ashley Furniture, Red Bull, State Farm, and other brands. Dennis has achieved 25% of his goal of creating a million digital marketing jobs by partnering with universities, professional organizations, and agencies. Through Local Service Spotlight, he teaches the Dollar a Day strategy and Content Factory training to help local service businesses enhance their existing local reputation and make the phone ring. Dennis coaches young adult agency owners serving plumbers, AC technicians, landscapers, roofers, electricians, and believes there should be a standard in measuring local marketing efforts, much like doctors and plumbers must be certified. He has appeared on 353 podcasts with 619 credited episodes — see the full list of his podcast appearances.