AI search, GEO and AEO readiness, open-weight model economics, and the data foundations that determine whether AI helps or hurts your operation.
Similarweb's new study links AI answer appearances to measurable direct visits and search lift — but the causality question deserves scrutiny.
Effort-based evaluation of AI work is probably the most expensive bias your commerce team currently holds.
When Google pauses reviews system-wide, the brands with diversified social proof absorb the volatility. The brands that didn't are now exposed.
A prolonged reporting blackout in Google Search Console means your indexing decisions for the past several weeks were made on corrupted data.
SparkToro's audience research exposes a calibrated inference problem most commerce brands are quietly paying for.
Bidding strategy rebrands are usually cosmetic. This one carries a calibrated signal about where Google's auction logic is actually heading.
Google just enrolled your ad account in something you didn't ask for. The question is whether your data hygiene is good enough to benefit.
MIT's case against measurement culture lands harder for e-commerce leaders than they probably want to admit.
Audience size numbers feel authoritative until you ask how they were built — here is what commerce operators should verify first.
A Miami startup claims it broke a core mathematical constraint in large language models. Here is what that actually means for your inference costs.