Hi, I'm Kamil and I'm a founder of Applied AI agency in Warsaw, Poland.
There is a lot of projects in AI visibility/GEO/AI SEO space. We wanted to see what is really possible in terms of how and when ChatGPT, Gemini, Perplexity, ec. reference certain brands.
Turns out it's all pretty much about reverse engineering the prompts users write because the platforms don't share any analytics as of today.
So we've built a tool that does reverse engineering of prompts with the highest accuracy by first examining your website, your top searched keywords and phrases. It then juxtaposes them with the closest WildChat questions (collection of 1 million conversations between human users and ChatGPT) and uses all this to generate the most realistic set of prompts for you to use when checking ai visibility and sentiment for your brand.
There is a lot of projects in AI visibility/GEO/AI SEO space. We wanted to see what is really possible in terms of how and when ChatGPT, Gemini, Perplexity, ec. reference certain brands.
Turns out it's all pretty much about reverse engineering the prompts users write because the platforms don't share any analytics as of today.
So we've built a tool that does reverse engineering of prompts with the highest accuracy by first examining your website, your top searched keywords and phrases. It then juxtaposes them with the closest WildChat questions (collection of 1 million conversations between human users and ChatGPT) and uses all this to generate the most realistic set of prompts for you to use when checking ai visibility and sentiment for your brand.
The tool is open source and available on Syntropic's github: https://github.com/syntropicsignal-ai/ai-visibility-audit
We target the tool primarily for e-commerce stores as this seems to be a gap in the market.
I'm curious to hear what you think about this.