The irony of AI marketing: your buyers ask ChatGPT, Perplexity, Gemini or Claude to pick an AI tool for them, and only a few names come back. Getting named takes pages written to be cited, clear product facts, docs machines can read and mentions where developers talk, all judged on paying users. It starts with a free check: 20 queries on 4 AI engines, your position on each in 48 hours.
ChatGPT names your AI competitors. You're not in the answer. See why in 48 hours.
Free check for AI products: 20 buyer queries, 4 AI engines, where you stand on each. Back in 48 hours.
Built for the question your buyers type into an AI engine: which tool should I use for this? Reported on share of answers and on the paying users that follow.
Pick your niche, then swipe or tap the card - see how the brain reads the same AI offer.
If you don't hook fast, the budget's already gone. That's why templates fail.
One team owns the whole funnel - from the first cognitive-trigger creative to the last dashboard.
Tap a case - we'll show the details. Figures are from live campaigns; brand names withheld under NDA.
The irony is hard to miss. Buyers ask ChatGPT, Perplexity, Gemini or Claude which AI tool to use for meeting notes, support tickets or code review, and the answer names a few. The rest of the category is not in the conversation. For an AI startup that is the most qualified moment in the funnel: the buyer has a task, intent and a short list, and you are on it or you are not.
Sameness makes it harder. When every tool in a category calls itself AI-powered automation, an answer can only separate them by facts it can find: what the product does and does not do, who it is for, what it connects to, where it runs. Category matters too. Entering a category the engines already recognize is faster than creating one they have never seen, which needs content and mentions to define it first.
Answer engine optimization, also called generative engine optimization or LLM visibility, is concrete work for an AI product. Pages written to be cited: category, comparison and use-case pages that answer the buyer's question in a quotable line. Structured facts kept consistent across site, docs and listings. Documentation and API references in clean HTML a crawler can read. Mentions in developer communities and comparison content, earned with material worth citing.
We report it the way a founder reads a board update. Which buyer questions name you, in what position and with what description, on which engine, and how many paying users and how much MRR arrived through AI referrals that month. Signups and mention counts alone are not results. The free check is where it starts: 20 queries across 4 AI engines, with your position on each in 48 hours.
20 buyer queries for your category on ChatGPT, Perplexity, Gemini and Claude: your position, who is named instead, what to fix first. Yours to keep either way.
Send the product URL and the task buyers use it for. The report lands within 48 hours.