# Your product doesn't exist to ChatGPT — a 20-minute AI visibility audit you can run yourself > Source: > Published: 2026-11-10 00:46:09+00:00 Ask ChatGPT "what's the best tool for X" and you'll get three or four brand names. If yours isn't one of them, you have a problem Google Analytics will never show you: **the user never reached your site, so there's no traffic to attribute.** I've been chasing this for my own tool. Here's the checklist I use, the data I got, and the fixes that actually moved the needle. LLMs don't "browse" a category. They answer from: Most indie products fail on #2 and #3, not #1. The model doesn't know you because nothing on the open web says the same, boring sentence about you ten times. Pick **4 prompt families**, and 3 variants each — 12 prompts total: | Family | Example | |---|---| | Category | "best AI visibility tools", "tools to check if ChatGPT mentions my brand" | | Problem | "how do I know if AI search engines recommend my product" | | Comparison | "brand monitoring vs AI visibility trackers" | | Brand | "what is bidvix" (baseline: does the model know you at all?) | Run each prompt **3 times** in ChatGPT, Gemini, Claude, Perplexity, and DeepSeek. Score: Track it in a sheet. Repeat weekly. A single check is noise; a trend is a signal. For `bidvix`, brand prompts were fine — the model knew the name. Category prompts were the problem: my tool was absent from "best AI visibility tools" answers, while the cited sources were almost entirely **directory listings and listicles**, not vendor sites. Two conclusions that changed my plan: `X is a [category] that [does the thing] for [who]`. Use it verbatim on your site, your profiles, and every directory submission. Don't get creative — get repetitive. You can't A/B test your way into this. There's no dashboard that tells you "you were cited 4 times today" unless you build or buy one — which is, admittedly, why I built mine. If you want to skip the spreadsheet, [bidvix](https://bidvix.com/?utm_source=devto&utm_medium=article&utm_campaign=launch-phase1) runs the same 12-prompt check across five models and gives you a mention rate plus the cited URLs. But the audit above works with a notebook and 20 minutes. Do that first — the numbers will tell you whether you have a content problem or an entity problem, and those have very different fixes. If you run it, I'd genuinely like to see your results — especially the cited-URLs column. That list is usually a shock.