AI answers are ephemeral, often user-specific, and influenced by changing models. Unlike traditional SEO. That makes measurement tricky and potentially brittle. Curious how you’re tackling that technically and whether there’s a sustainable data pipeline behind it.

If you’re aiming to be the “Ahrefs of AI,” think carefully about where defensibility can come from: data access, UX, integrations, or use case specificity (e.g., brand monitoring vs. keyword rank).

I’m genuinely curious how do you influence the likelihood your product or service is scrapped and added to training data.

Or is currently iterations of GEO tackling the internet search part of the chatbot and helping owners optimize llms.txt files and such. And if that’s the case, I assume backlinks are still important to help the bot traverse.

I'll support anything aiming for an ahrefs quality level product. One of the best softwares I've ever used.

I'm curious about how fast you can influence the results of one of the tier 1 chatbot ?

super cool, its become a necessity to prioritize GEO now