Why AI optimization is just long-tail SEO done right

LLMs still rely on search, shifting SEO from head terms to the long tail. Here’s how to use AI to uncover real customer questions and win.

Rand Fishkin proved AI recommendations are inconsistent – here’s why and how to fix it

AI outputs vary because confidence varies. Corroboration and entity optimization turn inconsistent AI visibility into consistent presence.
IEEE

LegalMind: Agentic AI-Driven Process Optimization and Cost Reduction in Legal Services Using DeepSeek

Abstract: The legal industry struggles with inefficiencies, high costs, and manual-intensive workflows. Traditional AI lacks adaptability in optimizing legal operations. To address this, we propose ...
Reuters

ASML lifts outlook on record AI chip orders but analysts query capacity

Stronger-than-expected fourth-quarter bookings on AI chip demand Set to cut 1,700 jobs, 3.8% of staff, in Netherlands and US Raises 2026 sales outlook amid increased AI-related investments ASML shares ...
GitHub

roshanrateria/Maria_DB_AI

A comprehensive no-code platform that brings AI intelligence, vector search, and advanced analytics to your MariaDB database. Query data in plain English, build ML models from CSVs, and generate ...
IEEE

Advancements in SQL Query Optimization: A Review of Join Order and Index Selection

Abstract: Efficient SQL Query Optimization (QO) is a fundamental aspect of database management systems, aimed at enhancing query performance and reducing resource consumption typically involves ...
blockchain

AI Inference Costs Drop 40% With New GPU Optimization Tactics

Together AI reveals production-tested techniques cutting inference latency by 50-100ms while reducing per-token costs up to 5x through quantization and smart decoding. Running AI models in production ...