A custom Python pipeline that transforms crawl data into prioritized, AI-powered AEO and SEO strategy. It measures how AI sees your brand, surfaces what's blocking visibility, and builds the keyword intelligence to act on it.
Three principles that separate diagnostic data from decisions worth acting on.
Every insight is grounded in real page data. The pipeline flows through three phases: discover the site's structure and topical authority, analyze every page through four levels of depth, and deliver a single self-contained report.
The agent registry is the backbone of intelligentAEO. Every collector, analyzer, and reporter is a discrete, composable unit. Each declares its inputs, outputs, cost, and runtime. Activate the right tool for the job, chain them together, and track what's run for every site.
The command center is where configuration, pipeline status, and AI visibility management come together. Each site gets a full card with live data freshness, analytics integration status, and direct access to every configuration layer.
intelligentAEO mines keywords from page content, enriches them with ranking data, and clusters them by topic and intent. Every keyword carries a source tag so you always know where it came from.
As more shoppers use AI assistants to discover, compare, and decide, visibility in AI answers matters as much as search rankings. intelligentAEO measures brand presence across the full purchase funnel with structured, repeatable prompt testing.
intelligentAEO routes through the best available data source for each task, with graceful fallbacks and 7-day caching to minimize API costs.