Are Your Pages Ready For AI Search? The Metrics CMOs Should Watch

To meet the moment, brand leaders need to answer two questions: Are my pages optimized for AI search? If not, what can I do?​ ...

New agentic memory framework uses 118K tokens per query. LangMem burns through 3.26M.

NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — using step-by-step reasoning.

Why Your GenAI Strategy Is Stalling, And How 'Article Scoring' Fixes It

According to a recent Gartner analysis on why GenAI projects fail, roughly half of generative AI initiatives are abandoned ...

How to use Google query expansion to improve content visibility

Your content may already be surfacing for searches you never planned for. Here's how to identify those opportunities and act ...

AI Search Optimization Isn’t The Hard Part – It’s Getting Buy-In

Crystal Carter and Jen Cornwell tackled AI search from opposite angles at SMX Advanced. Together, they reveal why most ...

The Accessibility Tree Is How AI Agents Read Your Site & It’s Breaking

The accessibility tree decides whether an AI agent can read and act on your page. The 2026 data says the web is getting ...
IEEE

Optimizing Query-by-Example Spoken Term Detection with Audio-to-Token Sequence Clustering and Query-Guided Retrieval

Abstract: Query-by-Example Spoken Term Detection (QbE-STD) retrieves relevant audio files corresponding to a spoken query, without relying on explicit word-level textual transcriptions. In ...