Most of the advice circulating about answer engine optimization (AEO) treats visibility as a content challenge. Write better. Structure it cleaner. Add schema markup. That advice is not wrong, but it addresses the symptom rather than the cause.
I published an updated analysis on shashi.co this week building on the Stay Relevant in the Era of AI-Powered Search blueprint I wrote for Info-Tech Research Group in 2025. The new piece adds three things the original did not fully address: the retrieval infrastructure gap sitting beneath every AEO strategy, the earned media citation data that reframes the return on investment for public relations, and two new metrics — Agent-Initiated Revenue and Share of Model — that are beginning to replace traditional search rankings as the meaningful measure of AI visibility.
The companies losing ground in AI-powered search are not losing because their content is bad. They are losing because their CIO and CMO have never audited what AI crawlers can and cannot reach.
robots.txt files set in 2023 to block training crawlers are silently blocking the retrieval agents that answer buyer research questions today. JavaScript newsrooms that look fine to a human browser are invisible to AI. These are infrastructure decisions, and marketing teams do not own the infrastructure. I covered the specific mechanics in a companion piece here on Misunderstood Marketing.
Workday is the clearest worked example right now of what getting this right looks like. CIO Rani Johnson and CMO Emma Chalwin built joint governance before deploying technology. The sequencing is the lesson. The full analysis — including links to the From Silos to Synergy blueprint and the Workday case — is on shashi.co.