Tired of spending $400/mo on Profound? With Elmo, you can track all of your prompts on any AI search provider or LLM, compare your AI visibility against your competitors, and dive into the details about which websites/Reddit threads/etc are cited by AI. You can also self-host on system with Docker Compose and own your own data.

Hi ProductHunt! I'm excited to announce Elmo, an MIT-licensed, open source AEO/GEO tool. We help you scrape ChatGPT/Google AI Mode/etc using web scrapers like BrightData/Olostep/etc, evaluate prompts against the OpenAI/Anthropic/Mistral APIs directly, or evaluate prompts against any model indirectly via OpenRouter. These responses are analyzed for mentions of your brand and your competitor's brands and tracked over time. The absolute value of this visibility of this number doesn't matter as much as how it changes over time. More importantly, we help you dive into citations, which is where you can find actionable insights. Did one of your competitors add a page to their site that is now getting cited by AI? Maybe you should add a similar page. Is AI citing a specific subreddit frequently? Maybe your brand should have a presence there. Are certain influencers on social media frequently cited by AI? Maybe you should develop a relationship with those influencers. This tooling helps you understand what AI thinks about your brand. This understanding should be a commodity, not a luxury. While some AEO tools are raising tens of millions of dollars, Elmo is small, bootstrapped, and sustainable - and you own your own data. We're just getting started. Sentiment analysis and ton of other features are coming soon! I hope you try it out and I'd love any feedback! Thanks, Jared

Really impressed by how Elmo is approaching AI visibility and brand monitoring. The idea of tracking how different LLMs mention and cite brands feels incredibly relevant right now. Love that it’s open-source and self-hosted too — huge plus for teams that care about data ownership. Curious, are you planning deeper competitor benchmarking features next? 👀

@1mirul There are two main categories we're focused on for competitor benchmarking. First of all, sentiment tracking across your brand/competitors. Secondly, we plan on breaking down common "traits" for each brand. For a SaaS that might be reliability/support quality/value/etc and for ecommerce it maybe durability/etc. Then you'd be able to compare competitors with your brand at the trait level over time.

Were there any competitor benchmarking features you were looking for specifically?

Elmo - Open Source AEO

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