Lettertrace

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• کاربر ProductHunt 1Hey Product Hunt! Mathew here. I'm the founder of The Letter Company. Today, we're debuting one of my favorite things that we've ever built. You've likely heard of AEO. Or GEO. Or AI Search. It's a popular space rife with tools. But there's been a big problem: it's pay-to-play. Even to find out how you're doing on AI Search, you need to fork over something crazy like $250/mo. And I beg.... for what? AI search is effectively measured by a crafty cron job that orchestrates a bunch of model provider calls. No more $250/mo fees. Now, it's free. Lettertrace is a BYOK telemetry tool for measuring how you're doing on AI search. It's open source. MIT license. Free even on our hosted version. There are no paid tiers. None. Nada. You'll never put down a credit card. We're moving beyond that. It's time we get telemetry on our GEO, just like we had on our SEO, without having to pay for it. Lettertrace is super easy to use. Like SO easy. Why? Cause it's got an amazing CLI. Just install it, give Claude Code or Codex access, and your coding agent will go to town. It'll add the topics your buyers actually ask about ("best CRM for startups"). It'll generate realistic prompt variations and run them against Claude, ChatGPT, Gemini, and other major LLMs. It'll track visibility, share of voice, prominence, and sentiment. npm install lettertrace . claude code. prompt. That's it. Or, if you're non-technical, sign-up traditionally. And it's actually open source. Not open core, none of those gimmicks. A clean MIT license. Bring your own key. You pay the model providers directly, no markup on top. You'll spend ... maybe $3? If you're just paying to measure AI search, you're getting ripped off and we're putting an end to that. Three things I'd genuinely like feedback on. First, which answer engines matter enough to add next. Second, whether the generated prompt variations read like questions real people ask, because that's the piece I'm least sure about. Third, did the video effectively explain our purpose as a company? Code: github.com/letterstory/lettertrace
• کاربر ProductHunt 2But how this will work AEO tracking is not done using api calls? Because API call results and actual platform results differ a lot. Good AEO platforms use actual accounts run using browser automation.
• کاربر ProductHunt 3"AI search is effectively measured by a crafty cron job that orchestrates a bunch of model provider calls" is the sentence that should be at the top of the page. Naming the thing you are commoditising is the whole pitch. One property of BYOK worth putting in the docs before a user finds it themselves: everyone queries from their own account, which increasingly means their own model version, their own region, and whatever personalisation has accumulated there. Two people running Lettertrace against the same company on the same afternoon can get materially different share of voice, and neither of them is wrong. So the number is comparable to itself over time only if the model underneath held still, and it never does. Not a flaw, it is the shape of the problem. But "mentioned in 15 of 40 prompts" reads like a measurement and behaves like a sample, and that gap is where this category loses trust. Cheap thing that would help more than it sounds: pin the model version into the output line.
• کاربر ProductHunt 4Wow, interesting! Will it show which sources the AI was trained on, so I can add information about us to those sources? That’s one of the key things for GEO optimization...