AI Brand Visibility for Free Forever

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Suppose you have a brand you care about — your own business or a nice business you are a fan of. I built a thing which lets you see what shows up in LLM searches and you can send it to my servers for comprehensive analysis, all completely free forever with beautiful dashboards and such! The reason I built it is that I make my purchase decisions with LLMs (I don't delegate all my life to them _yet_), since 2023. As you can imagine, there was a lot of hallucinations , so I got obssessed for a while with how to make sure that the LLMs respond about brands with facts. I was triggered a lot by wrappers that were charging money for API calls, so I decided to build it properly and hand over the keys to whoever wants to use it. With geoSurge you connect your existing LLM subscriptions to gather LLM sentiment, you use your spare tokens so it doesn't cost you anything in usage. After you get the data, you can look at the outputs or get geoSurge sentiment analysis for free. My gf is using it to monitor her Japanese baking class studio: https://okashi-school.com .

Visit product View on Hacker NewsSep 10, 2026

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: using · Missing: mac, agents, macos

82%82% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

80%80% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, ide · Missing: https docs, excited, just released

53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: calls · Missing: plus, platform, intuitive

29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: subscription · Missing: arr, mrr, revenue

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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