Tags, Handles, and Text
AllyHub searches the ways a mention gets written — an @ on your account, a branded hashtag, or your name typed into a caption — and collects the public posts carrying them.
Catch the mentions nobody typed — the ones a creator said on camera and never put in the caption.
Searching a brand name on TikTok finds the posts that wrote it down and misses the ones that just said it. AllyHub searches tags, handles, and text, reads the spoken audio of short clips as well, runs every spelling you give it in the same pass, and returns each hit as a row with its handle, date, and link — no code, no TikTok API.
AllyHub searches the ways a mention gets written — an @ on your account, a branded hashtag, or your name typed into a caption — and collects the public posts carrying them.
AllyHub reads what was spoken too, so a creator who names your product on camera without typing it anywhere still turns up. Spoken hits come from clips running two minutes or under.
Each hit lands with the creator's handle, the post date, its view and engagement counts, and a link straight back to the original.
The wording around the mention comes back with it, so a recommendation, a complaint, and a passing aside are distinguishable without opening every post.
Give it the abbreviations, the misspellings, and the sub-brand names in one go, and all of them get searched together rather than as separate jobs you have to merge.
The hits arrive as a single sheet or document, sorted however you asked — by date, by reach, or by whether the mention was written or spoken.
From a brand name to a table of TikTok mentions in three steps.
Hand over your brand, its handle, the hashtags people use, and any spellings worth catching, plus the window you care about.
It works through the tag, handle, and keyword results, transcribes the short clips it finds, and returns each mention with its handle, date, views, likes, comments, wording, and link.
Sort the table, send the ones that need answering to whoever answers them, and run the same search again whenever you want the next window.
Text search finds the mentions people wrote. On TikTok, plenty of them were only ever spoken.
A creator demoing your product and captioning it "obsessed 🤍" is invisible to every tool that only reads text, and that's the kind that never reaches your monitoring. Reading the audio of clips two minutes or under brings those into the same table as the tagged ones.
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People don't spell your brand the way your style guide does. Running the abbreviation, the typo, and the sub-brand in the same pass means the merge happens before you see the results, not in a spreadsheet afterwards.
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Platform search doesn't surface everything, so this catches the mentions that are publicly findable rather than every one that exists. It's a sweep, not a live feed — what you get is the window you asked for, and seeing what's new means running it again.
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Your terms, your spellings, and the shape you want the table in stay put. Your AllyHub never starts from scratch again, so the next sweep is one instruction rather than a rebuilt brief, and it gets faster every time.
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Brand and PR teams, sellers whose product gets demoed, comms handling something live, and anyone comparing their noise to a rival's.
Your monitoring reports the tagged mentions and the room assumes that's all of them. Add what creators said without tagging anyone, and the volume you report starts matching the volume that exists.
Someone is demoing your product to a large audience and you found out from a sales spike you couldn't explain. Sweep for the name and see who's holding it, when, and in front of how many people.
A claim about your brand is moving and you're reading it secondhand in a group chat. Pull the posts carrying it, with dates and links, and work from the originals instead of the retelling.
You know roughly how often you get mentioned and nothing about how often they do. Run both names over the same window and set the counts, the creators, and the wording next to each other.
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Coverage, limits, and what "tracking" does and doesn't mean here.
It collects the public posts that name a brand — through a tag, a hashtag, a caption, or the audio — and returns them as rows you can read and act on. AllyHub covers the written routes and the spoken one in the same sweep.
Yes — one sweep is free. Longer windows, several brands or spellings at once, spoken-audio coverage at volume, and table exports sit on the paid tiers.
No, and nothing honestly can. Platform search doesn't surface everything, so what comes back is what's publicly findable in the window you named. It's a floor on how much is being said about you, not a census.
Two kinds. A long upload where the brand is only spoken — past two minutes the audio route stops, so it has to be written somewhere to be found. And anything on a private account, which platform search doesn't return to anyone.
Not as a live feed. This runs when you run it, over the window you name, and there's no background watcher raising alerts. Keeping a weekly sweep means starting a weekly sweep — the terms are remembered, the trigger stays yours.
Most read text and stop there, which on TikTok means missing the demos entirely. AllyHub covers the spoken mentions too, says plainly that no sweep is complete, and already knows your terms, so the next one is an instruction rather than a setup.