New Google TurboQuant algorithm improves vector search speed
A small error-correction signal keeps compressed vectors accurate, enabling broader, more precise AI retrieval.
Articles & Source
How to measure brand awareness: 9 methods that matter
Measure brand awareness online by tracking brand mentions, monitoring AI search visibility, and more.
Deliverability Myth: Why You Need to Measure Inbox Placement
The post Deliverability Myth: Why You Need to Measure Inbox Placement appeared first on Litmus.
Where paid media optimization should stop in long sales cycles
Sales in long cycles is shaped by people, timing, and operations. Lead valuation gives paid media platforms clearer, more reliable signals.
What 3,900 SEO Job Listings Reveal for 2026: Experiments, AI, and Six-Figure Salaries
What does it take to build a career in SEO in 2026? We analyzed 3,900 job listings to uncover how the role is evolving—from experimentation and AI to shifts in salaries, responsibilities, and the growing demand for strategic thinking.
How to build a custom GPT for business (that your team actually uses)
Most GPTs fail because they’re too broad and under-tested. Here’s how to build focused, high-ROI GPTs your team adopts and uses every week
TurboQuant Has The Potential To Fundamentally Change How Search (And AI) Works via @sejournal, @marie_haynes
See how Google’s TurboQuant breakthrough could unlock real-time semantic search, faster indexing, and more powerful AI-driven rankings.
The post TurboQuant Has The Potential To Fundamentally Change How Search (And AI) Works appeared first on Search Engine Journal.
How to build FAQs that power AI-driven local search
Turn reviews, social comments, and call data into content that answers real questions, closes gaps, and stays consistent across platforms.
Reporting Uncertainty Without Losing Credibility via @sejournal, @bngsrc
Communicate what your data can and cannot prove to avoid costly decisions driven by incomplete insights.
The post Reporting Uncertainty Without Losing Credibility appeared first on Search Engine Journal.
What the ‘Global Spanish’ problem means for AI search visibility
AI models collapse Spanish-speaking markets into one, mixing countries, regulations, and context into answers that don’t hold up in practice.