Answer-engine optimization (AEO / GEO): make pages that get cited in AI answers — Google AI Overviews, ChatGPT, Perplexity, Claude — not just ranked in blue links. Use when the user mentions "AEO", "GEO", "answer engine optimization", "generative engine optimization", "AI Overviews", "get cited by ChatGPT / Perplexity / Google AI", "AI search visibility", "llms.txt", "answer-first content", "featured snippet", "FAQ schema for AI", or "why isn't my content showing up in AI answers". Every guideline here binds to a named, runnable pseolint `aeo/*` rule, so you can verify it instead of guessing. For building the pages at scale, see the `pseolint` (programmatic-seo) skill; for the audit itself, run the pseolint CLI/MCP.
Full-lifecycle programmatic SEO: design, build, audit, and fix pages at scale without earning a thin-content / SpamBrain penalty. Use when the user mentions "programmatic SEO", "pSEO", "template pages", "pages at scale", "location pages", "[keyword] + [city] pages", "comparison pages", "[X] vs [Y]", "integration pages", "directory pages", "glossary pages", "persona pages", "generate 100 pages", "data-driven pages", or "templated landing pages" — and ALSO when they want to audit, lint, or fix existing pSEO: "thin content", "doorway pages", "near-duplicate pages", "entity-swap templates", "template clusters", "SpamBrain risk", "Helpful Content Update", or "why won't my programmatic pages index". This skill supersedes generic pSEO guidance by binding every quality guideline to a named, runnable pseolint rule and closing the loop with an actual audit. For the strategy half it needs no tools; for the audit half it drives the pseolint CLI/MCP if available.