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Turn Your Podcast or Webinar into
a Page ChatGPT Will Cite

Video content is invisible to AI engines. GetCited extracts key insights, structures them as citable assets with proper schema, and tracks whether AI starts citing them.

Transcript parsing + topic segmentationFAQ schema + citation-ready formattingCitation tracking across 10 AI engines

Your podcast episode has answers AI engines want.
They just can't read a video file.

An hour-long webinar can contain more genuine expertise, research, and authority signals than ten blog posts. But if it's only published as a video, AI engines never retrieve it. Video to Citations converts that unstructured audio into the structured, schema-marked pages AI engines actually cite.

Three things the platform does automatically

Auto-extraction

Transcript parsing and topic segmentation from video and audio uploads. The platform identifies every citable insight, question answered, and expert claim — scored by citation potential.

AEO-optimised page generation

FAQ schema, structured summaries, and citation-ready formatting built in. Speaker credentials, brand voice, and entity signals injected from your Brand Context profile.

Citation tracking

Monitor when ChatGPT, Perplexity, Gemini, and 7 more AI engines start citing your video content. Wilson 95% CI verdict at 14 days — a statistical answer, not a view count.

Upload. Extract. Structure. Publish. Track.

A five-step loop from raw audio to a cited page. Your only required action is the review step before publish.

01

Upload

Live

Upload your podcast episode, webinar recording, or video file. The platform accepts audio and video formats and queues the file for transcript extraction immediately.

02

Extract

Live

The platform transcribes the recording, segments it by topic, and identifies the most citable insights — questions answered, data points cited, expert claims made. Each segment is scored by citation potential.

03

Structure

Live

Extracted insights are assembled into a citation-ready page: a structured summary, a FAQ block built from questions answered in the video, speaker credentials, and schema markup — all generated automatically from your Brand Context profile.

04

Publish

Live

The structured page is published to your CMS (WordPress, Webflow, Framer, Shopify, Contentful, or Sanity) with FAQ schema, VideoObject schema, and entity markup applied on publish. Your team reviews before it goes live.

05

Track

Live

Citation rate is monitored across ChatGPT, Perplexity, Gemini, and 7 more AI engines after publish. Wilson 95% CI verdict at 14 days: significant lift, regression, or inconclusive — not a vanity view count.

What the platform handles. What you do.

Platform

Transcribes the recording and segments by topic

Platform

Scores each segment by citation potential

Platform

Generates structured page with FAQ schema, speaker credentials, and entity markup

You

Review the generated page. Approve or edit before publish.

Platform

Publishes to your CMS with schema markup applied

Platform

Tracks citation rate across 10 AI engines. Returns a Wilson CI verdict at 14 days.

Common questions

Why is video content invisible to AI engines?

AI engines retrieve from text. An hour-long podcast or webinar contains expertise, research, and authoritative claims that never reach a crawlable page — so they never get cited. Video to Citations solves this by converting that unstructured audio into a structured, schema-marked, citation-ready asset.

What does the generated page actually look like?

A structured long-form page with: a summary section covering the key claims and insights, a FAQ block built from questions answered in the video, speaker bio and credentials (from your Brand Context profile), VideoObject and FAQ schema in the page head, and a citation-ready headline and meta description. It reads like an authoritative article, not a transcript dump.

How is this different from a transcript page?

A transcript is a wall of text with no structure, no schema, and no signal to AI engines about what is authoritative. Video to Citations extracts the most citable insights, restructures them into the formats AI engines prefer (FAQs, structured summaries, entity mentions), and adds the schema markup that signals authority. The page is built to be retrieved, not just indexed.

Which video and audio formats are supported?

The platform accepts common podcast audio formats (MP3, M4A, WAV) and video formats (MP4, MOV). You can also paste a YouTube URL and the platform will extract the transcript directly without a file upload.

Which AI engines are tracked after publish?

ChatGPT, Perplexity, Gemini, Claude, Copilot, AI Overview, AI Mode, DeepSeek, Meta AI, and Grok — the same 10 engines monitored across all GetCited products. Citation rate is checked automatically; you do not need to set up separate monitoring.

How does citation lift measurement work?

Before the page is published, a citation baseline is recorded across your tracked queries. After publish, the platform rechecks at 14 days and applies Wilson 95% confidence interval testing. The result is a plain-language verdict: significant lift, regression, or inconclusive. Not a pageview count — a statistical verdict on whether the page moved your citation rate.

Can agencies use this across multiple clients?

Yes. Each client has their own Brand Context profile and CMS integration. Generated pages are brand-contextualised per client — speaker credentials, brand voice, and entity signals are pulled from the client's profile, not a shared template.

Does this replace the manual process of writing show notes?

It can. The structured page the platform generates is a high-quality, SEO and AEO optimised article — longer and more authoritative than typical show notes. Many clients publish it as the canonical page for the episode and point their podcast host to it.

Your podcast expertise deserves to be cited.

Start free. Upload your first episode and see the structured page the platform generates — before you publish anything.