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Scribble Network

The product that makes AI recommend your brand

Analytics
Marketing
Artificial Intelligence
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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.

Top comment

Hey Product Hunt Fam!

I'm Kaavya, co-founder of Scribble Network. I've been a marketer and community builder for as long as I can remember, and have been deep in the GEO rabbit hole for a while now.

Two shifts got us here:

  • Creator and UGC budgets are eating into platform ad spend.

  • AI search loves to cite UGC when it builds an answer.

Which raised a question we couldn't drop: 

Could money spent on creators actually move a brand's AI search visibility?

We tested it.

We were best suited to do this, because we started Scribble two years ago as a UGC platform with 50,000+ creators and over 100 campaigns run.

So we plugged that platform and creators into a homemade AI visibility intelligence tool and ran it on one client across 25 queries.

The tool generated content topics and gaps that the creators then made authentic content about on surfaces LLMs could read.

They were at around 2% aggregate visibility across the top 5 models. The market leader on the same queries was at 58%. Three months of steady UGC on the surfaces LLMs actually read, and that client now sits at roughly 25%.

That's when it clicked.

Every AI visibility tool out there could tell us we were invisible and where the answers came from. None could get us cited.

That's a distribution problem, but almost every AI Search product was treating it like a visibility problem

  • So we built the thing nobody else has: the first AI Search tool married to a creator platform.

  • We don't just measure your AI visibility, we fix it. 

  • Our product attributes each brand mention back to the exact creator post that earned it.

  • And the platform now pays creators when they get cited. Creators love this.

This is our edge. We came at this from distribution and not measurement.

We never asked 'how do we track this?', we asked 'how do we actually get brands cited?'

The answer to this already lives in Scribble; try it on your own brand and tell me what you find.

Honest feedback wanted.

My co-founders and I are here all day answering everything.

Comment highlights

Where do you find the list of AI creators and what are their geographic location. In addition i saw your profile its all web 3 projects, i assume they are web 3 creators?

The creators-only-get-paid-when-AI-cites-them model is the part I would want to understand operationally, since that is the whole trust loop. AI answers rarely link sources deterministically and the citation shifts by model and even by re-asking the same query, so how do you attribute a specific AI citation back to the creator whose content earned it, cleanly enough to trigger a payout? Is that matching automated, or is there a human review step before creators get paid?

The live-query approach is the right call, but the thing that bit us building retrieval-backed answers is run-to-run variance. Ask the same model the same prompt twice and the cited sources shift even with temperature pinned, because the retrieval layer re-ranks on freshness and whatever got indexed that hour. So 'this post held as a source on this date' has a real noise floor under it. Do you sample each tracked query a few times to separate a piece genuinely falling out from the model just rolling different sources that run?

Paying creators only on sustained citations is a smart anti-gaming filter, the three-times-a-week threshold especially. From the consumer app side my experience matches your thesis, discovery moved to communities and AI answers faster than any dashboard showed it. Do the bounty economics work for consumer mobile apps too, or does the loop only close for B2B where a cited answer is worth real contract money?

Congratulations on the launch :)  I really like the focus on AI visibility, it's something I've been thinking about a lot lately. I'd love to understand whether this could be a fit for a brand like mine, which sits in a fairly different space from the projects I've seen you work with. I'm curious how the creator content usually comes across: does it read as genuine, first-hand experience? 

congratulations! i enjoyed reading the journey from a UGC platform to an AI search solution. do you plan to support recommendations for multilingual campaigns to improve visibility across different languages?

This looks super interesting @kaavya_prasad

Let's go

this feels like a unique combination of creator marketing and AI search optimization. I am curious how often does the visibility score refresh and can teams monitor improvements in near real time as new creator content goes live?

How do you keep creator content trustworthy? I think strict quality checks would make the citations more valuable.

Congratulations on the launch!
i really like the idea of connecting AI visibility with creator distribution instead of just analytics. how do you identify which creator posts have the highest chance of being cited by LLMs? looking forward to seeing how this evolves.

This is a really interesting product to get AI visibility. But does UGC mean only a videos or it's mostly a text-based citation from creators??

For a brand that's already doing GEO content in-house, does Scribble work alongside that or is it more of a replace-your-current-workflow kind of tool?

How does the creator amplification piece actually work in practice, like does Scribble match you with creators based on your niche or do you get to browse and pick? Curious how much control you have there.

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?

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?

How does the creator amplification piece actually work in practice - are you vetting the 50k creators by topic or niche, and how do you make sure they stay focused on the brand instead of churning out generic content just to chase the citation payouts?

How does the creator amplification piece actually work in practice, like do you match brands with creators based on the queries they want to rank for, or is it more of a blanket network push?

Curious how the creator payouts actually work in practice — do you guarantee the content gets cited by AI, or is payment tied to something looser like ranking or traffic?

The gap report on ChatGPT versus Claude was eye-opening, I had no idea I was getting cited on one and completely ignored on the other. The creator amplification piece is a clever way to actually close the gap instead of just staring at a dashboard.

About Scribble Network on Product Hunt

The product that makes AI recommend your brand

Scribble Network launched on Product Hunt on July 7th, 2026 and earned 304 upvotes and 88 comments, earning #2 Product of the Day. 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.

Scribble Network was featured in Analytics (172.6k followers), Marketing (465.6k followers) and Artificial Intelligence (472.9k followers) on Product Hunt. Together, these topics include over 196.2k products, making this a competitive space to launch in.

Who hunted Scribble Network?

Scribble Network was hunted by Kevin William David. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

Reviews

Scribble Network has received 1 review on Product Hunt with an average rating of 4.00/5. Read all reviews on Product Hunt.

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