Read Every Comment Under Your Competitor's Last 5 Launches
You can already see what your competitor is posting. That's the easy part.
The hard part is reading 400 comments under their best TikTok. Noticing three of their last ten posts mention a product line you don't carry. Realising the comments worth reading are in Korean and Portuguese.
So you don't do it. You screenshot the chart and call it research.
What changed
Give Anna a competitor's handle. She pulls the posts. Opens the top performers. Reads every comment. Tells you what's being said.
In any language. With the quotes.
You don't connect anything. You don't export a CSV. The data lands as a dataset tab, like a spreadsheet upload would.
The prompt
If you ask Anna one thing this week, ask this:
"Pull the comments on the last 5 launch posts from @[competitor]. Run sentiment. Find the themes. Pull the products people name. Translate anything that isn't English."
This is the prompt because it's the work you can't do by hand and won't pay an agency to do every month.
A typical answer:
"Two negative themes recur across the five posts. 31% of negative comments mention shipping windows — concentrated in German and Korean. 18% mention colour accuracy in the photos. Both only show up 48 hours after the post drops, not in launch comments. Three product mentions you don't track keep coming up: Glossier Boy Brow, Rare Beauty Soft Pinch, and a Korean brand called Tirtir. The MUA tagged in two posts has 4× the comment-conversion rate of the others."
That's a content brief, a product brief, and a partnerships brief. Three paragraphs.
Why this is the prompt
Most social tools show you what's already visible. Followers. Post counts. Engagement rates.
The signal is in the comments. That's where teams stop.
- Volume. 400 comments × 5 posts × 3 competitors = 6,000 lines. Nobody reads 6,000 comments.
- Language. Half of any creator's audience comments in something other than English. Most teams skip them.
- Pattern. One negative comment is noise. The same complaint under three launches, in two languages, is a roadmap. You can't see the pattern without reading the 6,000.
Anna reads the 6,000. Tells you what recurs. Quotes the comments that prove it.
What you do with it
Three moves.
Brief your team. "Their last five launches got the same complaint about shipping from international audiences. Their domestic comments don't mention it. We can win there." That ends a meeting instead of starting one.
Find the products you should be carrying. When the same product shows up across competitors' comment sections, it's a category signal. The top five are obvious. Items 12-25 are the surprises.
Find the influencers worth talking to. Rank tagged creators by comment-conversion rate. The right names surface. Not by follower count — by who actually drives engagement.
What you stop doing
- Opening six tabs to count posts and compare engagement
- Pasting comments into spreadsheets to eyeball sentiment
- Running individual comments through a translator
- Building quarterly competitor decks that are stale by Tuesday
- Saying "they seem to be growing on TikTok" without the comments to back it
You can also ask
The launch-comment prompt is the wedge. Once your data is in, the same toolset answers a few related questions:
- "Pull the last 30 TikTok posts from @[handle]. Rank by engagement rate."
- "Pull @[handle]'s last 20 posts from TikTok, Instagram, and YouTube. Where are they investing? Where are they coasting?"
- "Pull the top 50 TikTok posts using #[hashtag] this week. Which themes are growing?"
These work. They're not the wedge.
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