Should we turn our webinars and podcasts into written content?

You have a webinar recording from March that your sales team still sends to prospects. One of the partners records a podcast every fortnight. There is a conference talk on YouTube with a few hundred views. All of it is good, and all of it took real effort. Yet when a buyer asks ChatGPT or Google who understands their problem, the recordings rarely count, because almost none of what was said exists as edited text anyone can quote.

Video itself is not invisible to AI. YouTube was the most-cited website in Google's AI Overviews in Ahrefs' study of more than 3 million US queries, updated in September 2026, with 22.9% of citations among the 50 most-cited sources. But the citations go to YouTube's page, they depend on the words around the video, and the buyer may never reach your site.

So publish each recording twice: on YouTube, described well enough to be cited, and on your own site as an edited page an assistant can read and quote. The expertise has already been said out loud; the work is turning it into text worth quoting.

#Does ChatGPT watch YouTube videos or read their transcripts?

It depends on the assistant. Google documents that its Gemini models can process video, using both the audio and the visual streams, and can take a YouTube link as input. OpenAI has not said that ChatGPT search watches videos, and ChatGPT, Claude and Perplexity build their answers mainly from text they can read.

In practice, text decides most citations even for video. In a Peec AI study of 30 million sources reported by Search Engine Land in March 2026, YouTube ranked among the five most-cited domains across ChatGPT, Google AI Mode, Gemini, Perplexity and AI Overviews, and "dominates video citations via transcripts and descriptions". A video with a vague title, no description and uncorrected captions gives an assistant little to work with.

On your own site, GPTBot, ClaudeBot and PerplexityBot fetch pages but do not run JavaScript (Vercel and MERJ, December 2024), so a transcript loaded by a script or player is invisible to them. Put the text in the page's HTML.

#Why are our videos and podcasts not getting us recommended?

Usually for three reasons. The words are not in a usable form: auto-captions with mangled names, no description, a podcast that exists only as audio on Spotify. Nobody is named, so there is no expert for an assistant to credit. And the recording carries a label rather than a question, such as "Client webinar, March 2026", which matches nothing a buyer types.

An assistant answering "who can help a manufacturing firm with an ERP migration?" is comparing sources it can read and attribute. If your explanation lives in an unedited recording and a competitor's lives on a clear web page, the competitor is the one who gets named.

For example, a monthly hour-long webinar and a fortnightly 45-minute podcast add up to more than thirty hours of expert conversation a year, more than most marketing teams could write in that time.

#How do I get our YouTube videos cited in Google AI Overviews?

Treat each YouTube page as a text page with a video on it. Nobody can guarantee a citation, but these six elements give Google and the assistants something to cite.

YouTube's own rules for chapters: the first timestamp must start at 00:00, you need at least three in ascending order, and each chapter must be at least 10 seconds long. On captions, YouTube warns that automatic captions "might misrepresent the spoken content" and encourages creators to add professional captions first. Your edited transcript is most of the way to a corrected caption file.

#Should we host our webinars on YouTube or on our own website?

Both. Upload to YouTube for reach and citations, and embed the video on a page on your own site that carries the edited transcript. Google says it may index a video both on your page and on the platform's own page, and both can appear in its video features.

#Is a raw transcript good enough?

No. Pasting a raw automated transcript under the video changes very little. It reads like this: "So, um, the thing with cash flow forecasting is, like, most firms, they do it monthly, right, and, you know, that's fine until it isn't." It is complete, unreadable and hard to quote. Assistants lift sentences that state a point plainly in a paragraph that makes sense on its own, and spoken language almost never does that without editing.

Unedited transcripts fail in three ways: filler buries the point, nobody is named, and a wall of text with no headings gives an assistant no way to find the part that answers a question. Editing fixes all three. What an article that ChatGPT actually quotes looks like covers what makes a page quotable.

#How do we turn a recording into content that gets quoted?

This is the process we use for a 45 to 60 minute recording. In our experience it takes about a working day once the editor has done a few.

#Step 1: Transcribe it

Use an automated tool. Microsoft Teams can produce a transcript with each speaker's name and timestamps and export it as a .docx or .vtt file; dedicated services such as Otter.ai, Descript and Rev work from any recording; and OpenAI's open-source Whisper model can be run in-house. Consistency matters more than the choice of tool. Export an editable document with speaker labels and timestamps.

#Step 2: Clean it up

Remove filler words, repeated phrases and false starts. Fix names, product terms and technical vocabulary the tool got wrong. Keep the speaker's voice; the aim is a readable page that still sounds like them. Allow an hour or two for a 45-minute recording.

#Step 3: Name the speakers and set the scene

At the top of the page, say who is speaking, what their role is, and where and when the recording was made. For example: "[Name], [role] at [your firm], speaking at our client webinar on [date]." An assistant can only credit an expert you have named. What E-E-A-T is and why AI assistants care about it explains why.

#Step 4: Structure it around questions

Mark where the conversation changes subject. Each change becomes a heading, and the best headings are the questions a buyer would ask: "How long does an ERP migration take for a mid-sized manufacturer?" rather than "Section 3". Under each heading, move the speaker's clearest answer to the top.

#Step 5: Add what was implied, and pull out the quotes

Add a sentence wherever a reader arriving cold would be lost. Pull out direct quotes that stand alone and attribute them. In a Princeton and IIT Delhi study presented at KDD 2024, adding quotations from relevant people raised a source's visibility in AI-generated answers by about 41%; it was tested on a research engine, so treat it as directional. If the speaker quoted a figure, add the source if you can verify it and cut it if you cannot.

#Step 6: Build the FAQ from the questions asked

Audience questions and a podcast host's questions are the ones real people ask, in real words. Collect them into a "Frequently asked questions" section with a short, direct answer to each.

#Step 7: Publish it properly

Give it its own page, titled with the main question the recording answers, laid out as below. Link to two or three related articles and link back from them. Do not publish it only on a third-party platform.

#Step 8: Cut the derivatives

From one edited transcript you will usually get a main article, a short summary, a handful of standalone question-and-answer pieces and a run of quotes for LinkedIn. Each should link back to the full page.

#What should the transcript page look like?

In this order, so the answer comes first and the detail follows:

1. The question as the title, then the speaker's name, role and the recording date.
2. The embedded video.
3. A short summary: the answer in three to five sentences.
4. Chapters, each a question linked to its timestamp.
5. The edited transcript, under the same question headings.
6. The audience questions as an FAQ, then links to related pages.

Add VideoObject markup. Google requires a name, a thumbnail and an upload date, recommends a description, duration and embed link, and uses Clip entries for key moments in its video results. Schema.org's VideoObject also has a transcript property. Google does not list it among the properties it uses, so the visible transcript is what counts; the property simply states it for any system that reads it.

#Will publishing a podcast transcript on our site cause duplicate content problems?

No. Google's guidance on duplicate pages says some duplicate content "is normal and it's not a violation" of its spam policies. Your edited transcript also differs from YouTube's automatic captions and from any platform's machine transcript. The one thing to avoid is the same transcript at several addresses on your own site: publish it once and link to it.

#What makes transcripts better than most written content?

Real experience, said out loud by a named person. A partner answering a client's question gives the awkward case, the point where it usually goes wrong, the opinion they would not have put in writing. Google's guide to its generative AI features, updated in July 2026, says content offering "unique expert or experienced takes" will influence presence in its AI search more than anything else, and a well-edited transcript is exactly that.

Recordings are also dated, which helps with questions where the answer changes; whether ChatGPT prefers newer content covers why. And when the same partner appears across ten pages on one subject, the site builds a visible body of expertise. How to organise our content so AI assistants see us as the expert shows how to group those pages.

#Which recordings should we start with?

The ones that match the work you most want to win. For example, a managed IT firm whose best work is cyber security for professional services firms should start with its recordings on that, whatever else is in the archive. A four-question filter:

• Does it answer a question a buyer would type into ChatGPT or Google? If not, it goes to the bottom.
• Is the speaker someone whose name we want attached to this subject? If yes, it moves up.
• Is it still true? A recording about a regulation that has since changed needs editing or dropping.
• Does it strengthen a subject where we already have written content?

Do three or four in the first month.

#What does it take, and what do we get back?

The real cost is editing time: about a day per recording for an editor who knows the subject, plus a short YouTube pass. The expert's time has already been spent, which is the advantage over commissioning an article from scratch. The recording still needs to be worth transcribing, though: a rambling webinar does not become good content through editing. If you are starting a series now, plan each episode around one question a buyer would ask.

#What to do this month

1. List every recording from the last two years, with its subject, speaker and date.
2. Mark the five that best match the services you want to be recommended for, and check they are still accurate.
3. Fix the YouTube title, description, chapters and captions for those five.
4. Transcribe them and give one person ownership of the editing.
5. Edit and publish the first transcript page in the layout above, with VideoObject markup and a link from the video.
6. Add the questions each recording answers to your fixed list of buyer questions, and check them monthly in ChatGPT, Gemini and Google AI Mode.

#Frequently asked questions

#What is the best AI transcription tool for podcasts in 2026?

The one that handles your speakers and vocabulary. Test two or three on the same recording and compare how they cope with names, technical terms and crosstalk, and whether they export an editable file with speaker labels and timestamps. The transcription built into Teams is often enough for meetings and webinars run there; dedicated tools or Whisper suit podcasts recorded elsewhere. Every tool still needs a human edit.

#How long should a published transcript be?

As long as the useful content, and no longer. Do not pad it, and do not cut it to a summary and call it a transcript. If the recording covered three separate subjects, split it into three pages, each titled with one question.

#Should we include timestamps?

Yes, at the start of each main section rather than on every line. They help readers jump to what they need, match your YouTube chapters and show the page is a record of a real event.

#What if the recording has several speakers?

Name each one at first mention with their role, and label every change of speaker. If a guest is from another firm, say so and link to them.

#Can we publish transcripts of events we did not host?

Only with permission. Ask the organiser before publishing a talk from someone else's conference, and get podcast guests' agreement to publish, with the chance to check their quotes.

If you are not sure whether your recordings are worth the effort, check who is being named for the questions they answer. Book a free Growth Review: 30 minutes with David Adams and three fixes in writing. Turning a firm's expertise into content that gets it named is the work of Reputation That Wins.

#Sources