Four engines. Three runs each. Six audit dimensions. One ranked action queue. Here's exactly what happens between the moment you sign up and the moment you start outranking competitors in AI answers.
Your domain, your industry, and a one-line description of what you do. That's it. We bootstrap the rest from public data sources.
Not just whether you appear, but the position the engine gave you and which sources it cited. Citation domains feed the audit step.
llms.txt declarations, robots.txt rules, render parity, response time, status codes the crawlers see.
Depth, freshness, internal linking, presence of long-form, case studies, whitepapers. AI answers prefer canonical sources.
Experience, expertise, authoritativeness, trust. Author bylines, credentials, "About" depth, reviews, social proof, location signals.
Organization, WebSite, FAQPage, HowTo, Review schema. The structured data that turns ambiguous text into machine-readable entities.
Breadth and quality of third-party domains that mention your brand. AI engines disproportionately reward entities cited by independent sources.
Real, observed AI visibility across ChatGPT, Claude, Gemini, and AIO. Closes the loop between what you do and what shows up.
Pick a task, click "Generate", paste the output. The system tracks completion and re-runs the relevant audit signals so you see the lift land.
Drop your domain. Watch all four engines answer. See exactly where you fall in the ranking.