Scribble Network

Do different AI engines treat creator content differently? Like, could a post get cited on Perplexity but never show up on Gemini or Claude? If that happens, do you brief creators differently per engine, or is one piece expected to work across all five?

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?

This is a rlly cool idea! However the pricing model seems quite steep. I would be inclined to try this, but the lower tier subscriptions should have some level of creator distribution. More importantly, thoug, the lower tiers seem to just be more expensive versions of other GEO/AEO tools (but with MUCH less tracking / competitor analysis). I would keep a tier around the price range of your current lowest subscription, however the offerings you provide need to be more akin to what dozens of your competitors already offer (and for 50-80% cheaper). The creator distribution aspect is genuinely different in the best way possible, but you NEED to offer distribution to lower tiers for users to really see the benefit of your platform. Would love to stay in touch!

What makes Scribble a better option for creators than traditional influencer marketplaces?

Congrats on the launch. Instantly showing visibility insight is a nice touch. I wonder how you quickly find out the highest-intent queries? This sounds quite challenging to cover all kinds of brands in a wide range of verticals / markets.

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?

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.

how does the 50,000 creators piece actually work in practice, like do i get to pick the ones writing about my brand or is it more of a shotgun approach where they just produce a bunch of content and hope something sticks?

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?

How do you measure if new content actually changes citations? A timeline with before and after results could build confidence.

How does the creator payout piece actually work in practice, like are the creators picking topics or do you assign them based on the gap report and how is "cited by AI" verified before they get paid?