Launching today
Your customers ask AI before they ask Google, and most brands have no idea whether they show up or lose to a competitor. Every other tool hands you a visibility score and stops there. Scribble does the whole loop: audit where you're invisible across every AI engine, create content that closes the gap, and amplify it through 50,000 creators who only get paid when AI cites them. A gap report won't win customers. Being the cited answer will.
How does the creator amplification piece actually work in practice, do the creators have to be in specific niches or can they cover anything as long as the content gets cited by the AI?
Scribble Network
@etin2yrt Creators aren't locked to niches, but bounties are query-specific, so in practice they self-select into what they can write credibly about. A creator with no DeFi experience writing about yield protocols just won't survive the source refreshes, so the system nudges everyone toward what they actually know. Cited by AI is the filter, and it's a picky one.
Triforce Todos
Congrats on the launch team!
Curious, When AI engines start updating their citation logic (which they do constantly), how quickly does Scribble's visibility tracking pick that up and adjust the content strategy?
Scribble Network
@abod_rehman Thanks Abdul!
AI answers need fresh content. Every head of product at the labs companies keep saying that good authentic content is all we need to worry about. I guess the problem starts to become real when we try and optimize too much and that's the sort of stuff that gets weeded out during algo updates. As long as the creator posts are authentic, it will be cited. (so far)
Curious how the creator amplification side actually works in practice. Do the 50,000 creators pick topics themselves or do you assign briefs, and is there any way to see which AI engines ended up citing the content they publish?
Scribble Network
@sadkakcakohl2k Both, kind of! We build briefs from the queries a brand is losing, and creators opt into the bounties they want, so it's brief-driven but self-selected. And yes, that's the fun part: the dashboard shows exactly which engine cited which piece, per query. One creator post getting picked up by Copilot, Gemini and Perplexity at once is a real thing we've watched happen 😄
the query-and-log-citations approach is the missing piece in this space, most tools still proxy through SEO metrics like you said elsewhere in the thread. question the answers above didn't cover - what happens when two of your customers are competing for the same query? does Scribble end up running bounties against itself, or do you screen for that before taking a client on
Scribble Network
@galdayan Love how you're thinking about this.
We want to be an open platform and simply a facilitator between cited creators and brands. Competing brands advertise on instagram or any ad platform and it won't be any different here. But you do bring up a good point on being able to prove to competing brands that data and intelligence from each campaign is private and not even visible to us - will work on this.
The positioning around making AI recommend your brand is interesting, especially with Analytics and Marketing listed in the topics. Are you mainly helping teams understand where their brand already appears in AI answers, or is Scribble Network more focused on changing the inputs that influence those recommendations over time? That distinction feels pretty important for marketers evaluating it.
Scribble Network
@mia_qiao The honest answer is both.
The audit comes first, see where you already show up across every engine. You can run your brand on the product on our website and check in a few minutes.
But we also close the gap by actually getting you cited, and that's where our moat comes in. We have a creator network of 50k that we open up to brands; creators cover the exact queries you're losing (after trying the product themselves, ofc) and build the content foundation that raises your citation probability.
So for a marketer evaluating it, if you only want monitoring, plenty of tools do that (we do too). The bet we've made is that monitoring alone is a gap report you can't act on, the value is in the loop. Understand where you stand, then actually move it.
How do you measure if new content actually changes citations? A timeline with before and after results could build confidence.
Scribble Network
@eoin_bishop That timeline exists in the product! Queries are fetched every 24hrs across all five engines, so you see exactly whether new content shows up as a source in the days after it goes live, and whether it holds. It's literally how we watched our first client go 2% → 20%.
Going from 2% to 25% AI visibility in 3 months is a wild result, was that mostly from the volume of creator posts or did the content topic gaps that your tool surfaced make the biggest difference?
Scribble Network
@boyuan_deng1 Love this question, because the targeting made the volume matter.
Volume alone doesn't do it, we've watched brands pump out generic content and stay invisible. What moved the needle was sequencing it, we fixed the onsite gaps first that the tool surfaced, so there was a foundation, and then pointed creators at those specific queries with briefs built from the gap data. So every piece was aimed at a question the llms were actually being asked, on surfaces they actually read.