TikTok to Markdown for Marketers: Competitor and Trend Research
Competitive research on short-form video is slow for one stupid reason: you have to watch it in real time. Thirty competitor videos is thirty minutes of your life plus the scrubbing back to catch the claim you half heard. Convert those videos to text and the same thirty land in a document you can skim in six minutes, ctrl-F for pricing claims, and paste into an LLM to cluster by angle. Paste any public TikTok link into /convert/tiktok-to-markdown and the spoken content comes back as Markdown at 2 credits per minute, part-minutes rounded up, so a 30 second ad-style clip costs 2 credits and thirty of them cost about 60. Be clear about what this is: manual research on videos you choose one link at a time, not a scraper that harvests a hashtag. The value is in reading what your market actually says out loud, in their words, at a speed watching cannot match.
Why this is hard without the right tool
- Watching 30 competitor videos costs 30 minutes and leaves no searchable record
- The claim a competitor made in a video cannot be pasted into a positioning doc
- Trend research produces a folder of saved links nobody ever revisits
- Hook patterns are obvious in aggregate and invisible one video at a time
- Nothing in a saved-video collection survives the person who saved it leaving
Recommended workflow
- Build the research list first: 20 to 40 public video links from competitors, category leaders and the trend you are tracking
- Convert each link at /convert/tiktok-to-markdown, one at a time, and download the Markdown
- Save each file as
brand-topic-date.mdin a research folder, so the swipe file is greppable from day one - Paste 10 to 20 transcripts into Claude or ChatGPT with "group these video transcripts by the angle they use, list the first line of each, and flag every product claim made"
- Pull the first 3 seconds of every transcript into one document. That single page is the most useful hook study you will run this quarter
- Extend the same folder with competitor long-form via /convert/youtube-to-markdown and with webinars and recorded demos via /convert/video-to-markdown
Read thirty videos in the time it takes to watch six
A 45 second video takes 45 seconds to watch and about 8 seconds to read. That ratio is the entire argument. It also compounds: a watched video leaves nothing behind, while a read one leaves a text file that is searchable next quarter when you are writing the positioning deck and half remember that someone in the category was claiming a 30 day guarantee.
What a transcript shows that the view count does not
Metrics tell you a video worked. The transcript tells you why. Lay twenty transcripts side by side and the structure becomes obvious: which opening line pattern dominates in your category, whether the offer is stated in the first ten seconds or the last five, which objection every competitor pre-empts, what verbatim words they use for the problem your product solves. That last one matters most, because the phrasing your market uses out loud is rarely the phrasing in your ad copy.
The honest limit: this is manual research, not a scraper
MDisBetter has no API, no CLI, no browser extension and no automated collection of any kind. You cannot point it at a hashtag, a sound or a competitor profile and receive 500 transcripts. Every conversion is a public link you pasted yourself, one at a time, in the browser. In practice this caps a research sprint at a few dozen videos per sitting, which is usually the right sample anyway, because forty carefully chosen videos beat five hundred scraped ones for pattern-finding. Batch processing on paid plans applies to file uploads, not to link fetching.
Rights, and where research ends
Reading and analysing public videos internally is ordinary competitive research. Copying a competitor script into your own ad is not, and no transcription tool changes the copyright position on someone else creative work. Use the transcripts to understand structure, objection handling and vocabulary. Write your own lines. Also note that whether your particular use fits TikTok terms of service is between you and TikTok, and worth checking if the research is going anywhere public.
What it costs to run a category sweep
Billing is 2 credits per minute of media with part-minutes rounded up. Forty short videos averaging 40 seconds each round to one minute apiece, so 80 credits, which the 50 free monthly credits nearly cover and a $3 pack of 200 credits covers outright. A full quarter of continuous competitor monitoring plus long-form competitor webinars sits comfortably inside Starter at $9 for 1,000 credits. Pro at $29 for 30,000 credits is the tier that makes sense once you are also transcribing your own marketing library. There is no daily quota, so a one-afternoon sweep is not throttled.
Further reading
Start with how to transcribe a TikTok video for the mechanics. If the research output feeds content production, video to Markdown for marketers covers the webinar and demo side of the same library.