Lettertrace

Awesome product! I use it today :) Congrats on the launch Mathew!

If a company shows up in 15/24 answers, do you know whether that correlates with anything downstream - inbound traffic, signups, or even people mentioning they found you through AI? That second number seems harder to get than the visibility score itself. Congrats on the launch!

The question I have not seen asked yet is what makes the number stable enough to trend. Ask the same model the same thing twice and you get different answers, and a silent model update moves your baseline without telling you. So a line going up is mixing your own work with drift you cannot see.Cheap fix, and I think your architecture already allows it. Measure a control set in the same run, a few competitors or unrelated brands you are not touching. Then drift shows up as a common shift across all of them and you can subtract it out. Being BYOK and open source also means you can pin model versions and re-run history, which the 250 a month tools cannot really offer.

Love that the CLI does the heavy lifting instead of another dashboard I have to log into. Do you store historical runs to see visibility trending over months?

Congrats on the launch! Really like the open-source + BYOK approach.How do you decide which prompts are most relevant to track for a company?

Congratulations! It’s so nice that it’s open source:) Are you planning to include European models like Mistral ?

How accurate the visibility and the sentiment tracking is compared with the paid tools SEMrush, Profound etc?

Incredible team with deep domain expertise here! Have already enjoyed using their product

Congratulations on the launch @pregasen ! The SEO community needs more such open source and free to use products (like openSEO). Love this and thanks for launching (Profound made a hole in my pocket!)

Ooh, love love love that this is dev-first and oss! Some insight on what you asked - "which answer engines matter enough to add next" - you've hit the main ones we track at Progress, but Grok could be good and for certain niches also Meta AI

Would love to have a single docker run command so I can test it on my own infra in one click. (The current github repo doesnt have the Dockerfile / image either.)Anyway Thanks for building it, love opensource.

Good luck with the launch

Congrats on the Lettertrace launch, Mathew. The open-source + BYOK framing is very clean, and I loved that the website scan produces editable questions before the first run.One launch-day thought from trying it: when a first run returns 0%, a new user needs one obvious next move. Is it prompts, competitors, model coverage, or simply a brand that is not yet visible? Turning that zero into a small diagnosis could make the first run feel much more actionable.

Following this closely since I track something similar for my own site. One methodology question that would actually change how I read the numbers: how do you tell the difference between a page getting pulled in as a citation or source versus the AI actually naming the brand in the answer text itself? I have watched my own citation count jump sharply on one engine in a single day while actual brand mention count stayed flat at zero the whole time, so those two clearly do not move together for me. Curious whether you track them as separate metrics or treat citation as a proxy for visibility.

Congrats! Tracking how you show up inside LLM chats is quickly becoming as important as ranking on Google was, and most people have zero visibility into that. Respect for making it open source.