Dominate the AI Search Era
Supercharge your brand's visibility in the new era of AI search. ReachLLM helps you track, analyze, and improve your online presence for Large Language Models (LLMs) and generative AI, ensuring you connect with your audience on the platforms of tomorrow.
Hey PH community! I’m Sohazur, Founder & CEO of ReachLLM. ReachLLM shows exactly how ChatGPT, Gemini, Claude, Perplexity, Grok, and DeepSeek describe your brand and which competitors or keywords they surface, and suggests relevant prompts people use to find brands like yours. With Brand Visibility, you can easily track exactly how many times your brand is getting mentioned across these different LLMs, along with your competitors, and What excites me most is the GEO Audit and AI Generator: wi
ReachLLM is a fantastic tool for GEO. I've been using it for a while and I know that Sohazur is making improvements daily. I think it's the perfect way to get into GEO. ReachLLM helps you understand how LLMs work and leads you step by step to better rankings.
Are you using OpenAI API to check if it's mentioned by it? Because It seems OpenAI API and ChatGPT's results are so different and most of the users are going to search in ChatGPT. How is this going to give real data if it's using OpenAI API? Similar for other providers like Claude, Gemini, DeepSeek etc?
Congrats on the product! GEO is definitely shaping up to be the next SEO, and it's exciting to see tools like ReachLLM tackling the visibility gap across LLMs before it becomes a black box. We’ve been thinking about similar challenges at Escape Velocity AI, especially how early-stage companies can frame their brand, product, and positioning more intentionally, not just for humans, but also for AI agents that might become the “default interface” for decision-making. Have you seen any differences
Tracking brand visibility *specifically* for LLMs is next-level smart—everyone's optimizing for Google, but AI search is the future, tbh. Love where your heads are at!
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.