Learn how to get cited by AI answer engines. Practical AEO and GEO guides on appearing in AI Overviews, AI Mode, and generative search results.
Showing 9 – 16 of 22 articles
The exact schema an ecommerce site needs in 2026: required Product and Offer fields, Review/AggregateRating rules, and the mistakes that suppress rich results.
Agent readiness explained: the four layers that let AI agents reach, understand, call and transact with your site — and how to test yours in an afternoon.
GEO explained from the research that coined it and Google's official position: what the KDD 2024 paper measured, what Google ignores, and what to actually do.
Answer engine optimization explained: what AEO is, why it has no spec, how little traffic non-Google answer engines send, and what actually works.
The 23 AI citation factors ranked by evidence, grouped into four gates — reachable, retrievable, liftable, trusted — plus a 30-minute self-audit.
Four ways to generate an llms.txt file, a runnable sitemap-to-llms.txt script, what the August 2026 v2 spec changed, and how to validate and automate it.
Which AI agents request Accept: text/markdown, what content negotiation saves in tokens, how to ship it in Django or at the CDN, and what breaks it.
Google Search ignores llms.txt and 97% of published files get zero requests. The evidence, who should still ship one, and what moves AI visibility instead.
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