Webinars
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Live sessions on semantic SEO, AEO, and getting cited by AI. -
Recorded so you can catch up any time. -
Built around real examples, not slideware. -
A low-commitment way to see how we think before you engage.
1. What to expect
2. Sessions
3. After the webinar
I took a single webinar we had already run and treated the recording as raw material, not a finished product: transcribed it, pulled out the real claims buried in the talk, and rebuilt them into structured, extractable text on the page, instead of leaving a video no engine could read. The experiment was whether a one-off webinar can become a durable, citable asset.
It kept earning AI citations and traffic for months, long after the live event was forgotten, because the substance was finally in a form an engine could read. A webinar that lives only as a video file is completely invisible to retrieval. Transcribed and properly structured, that same hour becomes an evergreen asset that keeps paying out.
A webinar nobody transcribes is a one-day event. Structured, it is an asset that compounds.
Companies pour real effort into webinars, then bury them behind a registration wall as a single unindexed video and call it lead gen. To an answer engine, that content flatly does not exist, because it cannot read a video it is not even allowed to reach. All that genuine expertise, sitting completely dark to retrieval.
The value is only ever unlocked when the substance is transcribed, structured, and put on a crawlable page where an engine can actually find it. The live event is just the marketing. The extractable write-up afterward is the real asset that keeps earning for months. Treat the recording as the beginning of the work, not the end of it.
The lazy version is to drop a raw auto-transcript under the video, hit publish, and call it done for the quarter. A solid wall of unstructured, filler-heavy speech-to-text is barely one step more readable to an engine than the video it came from. Auto-captions are not structure, and an engine treats them accordingly.
Turning a rambling talk into citable content takes someone who can pull the real claims out of the conversation and rebuild them as clean, structured prose a machine can lift. That is editorial craft, done by US-based operators, not a transcription button anyone can press. One produces a transcript nobody reads. The other produces something genuinely worth citing.
A raw transcript is a recording of talking. Structured content is an argument the engine can use.
- 1. Google Search Central. Documentation on AI features and structured data.
- 2. Schema.org. Structured data vocabulary.
- 3. Schema.org. VideoObject and Event vocabulary.
- 4. Google Search Central. Video structured data and indexing guidance.