AI Search & GEO News

Parsnipp commentary

The standout item: enterprise AI purchasing decisions are reportedly forming on GitHub and X roughly six months before an RFP even exists. That's a GEO insight in disguise — developer and community platforms are becoming top-of-funnel for B2B buying decisions, not just consumer ones.

Parsnipp commentary

Regulatory approval delays are now a bigger constraint on frontier model releases than competition between labs. Not directly a GEO story, but it matters for planning: if new model rollouts (and the search/citation behavior changes that come with them) slow down, visibility strategies built around "the latest model" get more stable, not less.

Parsnipp commentary

A cheaper, strong agentic model becoming the free/Pro default matters for us specifically — more people running agents cheaply means more AI-driven research and purchasing happening by default, not as a novelty. Every model that gets cheaper and more agentic widens the audience brands need to be visible to.

Parsnipp commentary

The stat worth internalizing: the share of AI Overview citations going to top-10 Google rankers dropped from 76% to 38% in under a year. Rankings and AI citations are decoupling fast — which is genuinely good news for smaller or newer brands that get their content structured and consistent, even without a page-one ranking.

Parsnipp commentary

McKinsey's framing matches what we tell clients constantly: 86% of marketers are excited about AI, but fewer than 10% have actually scaled it — the gap is execution, not technology. "Agentic commerce" (optimizing how AI interprets and recommends your products) is explicitly one of their five core capabilities now, not a side experiment.

Parsnipp commentary

Ritson's point cuts against a lot of GEO anxiety: AI agents show a strong popularity bias, favoring familiar, well-known brands the same way lazy humans do — meaning strong brands get amplified, not flattened.

Parsnipp commentary

OpenAI says ~20% of ChatGPT queries carry direct commercial intent, and 2,000+ brands are already advertising there through partners like Criteo. This is no longer an experimental channel — it has real scale and real measurement partners behind it already.

Parsnipp commentary

Google's new Merchant Center attributes (Q&A, related products, popularity rank) are a concrete example of what "AI-readable product data" actually means in practice, not just a buzzword. Brands should treat populating these fields as seriously as they once treated basic product feed hygiene for Shopping ads.

Parsnipp commentary

The 28-point drop in AI-search satisfaction in one year, alongside 39% of consumers saying heavy AI use reduces their brand trust, is the clearest sign yet that "be visible in AI" and "be trusted by AI users" are two different jobs.

Parsnipp commentary

A full advertiser API for programmatic campaign management, product feeds, and conversion tracking inside ChatGPT. Worth a look to look at how Smart LLM Ads' integrations compare to what OpenAI now exposes natively.