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.
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How does Scribble measure whether its content and creator network actually improve a brand's visibility and citations across different AI assistants, given that their ranking and citation methods vary?
Scribble Network
@satyam_raina1 We don't infer, we observe. Every query gets fetched every 24 hours across all five engines, and we log which sources each model actually cites. Content goes live; you watch if it appears and holds. The engines varying is exactly why we track them separately.
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.
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?
Scribble Network
@alexander_gray3 Alongside, definitely! If you're already doing GEO in-house(which is awesome), the audit shows you whether that content is actually getting cited (and where the gaps are), and the creator network adds the third-party layer you can't produce in-house. I'd love to chat with you further on this to understand better.
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.
Scribble Network
@james_carter35 Thank you!
Two ways - creators are scored on citation history, so we know who's been picked up before, and briefs are built from the actual queries engines are being asked, so content is aimed at real questions, not generic topics. Then the surfaces matter, Medium, Paragraph, Reddit, places LLMs actually read. Beyond that, the engines decide, and honestly, they're a better filter than what we could build. :)
How do you keep creator content trustworthy? I think strict quality checks would make the citations more valuable.
Scribble Network
@akshay_shyam The engines do most of the enforcement for us honestly, thin or fake content gets recycled out on refresh. On top of that, creators are scored on citation history, so the ones who keep winning bounties are the ones writing genuinely useful stuff.
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?
Scribble Network
@olivia_bennett7 Thank you! :)
1)Citation tracking is daily, every query is fetched every 24 hours across all five engines, so you see whether that content shows up as a source within a day of the engines picking it up.
2)Creators submit their content link back on the platform as soon as they publish, so you see every piece the moment it's in.
Near real-time on the content side, daily on the citations.
Distribution is the insight everyone's been sleeping on. As you scale beyond SaaS/tech, what signals tell you when vertical domain knowledge becomes a blocker vs. just needing the right content angles?
Scribble Network
@alejandro_fenn This is such a thoughtful question. AI answers are generally important for products that need research before purchase. Now, if this is a product or service that everyone uses, it boils down to content angles - think colleges, courses, ed-tech etc. If it's more niche - medical electronic devices, scientific software, custom hardware for factories - this requires niche knowledge.