Lily Ray (2026) — Prediction of next major Google update

Summary:

This article predicts where Google Search updates may head next, arguing Google is gearing up to crack down on scaled AI content, fake author profiles, paid brand mentions, and other tactics meant to game rankings and AI answers.

It’s a practitioner piece by SEO consultant Lily Ray on her newsletter, not a formal research report.

Her case is built from updated Google documentation, quotes and notes from Google events, past update timelines, limited tracking of AI Overview citations, and client/recovery work from 2026. It’s mixed, mostly observational — no defined study design or repeatable methods. The most concrete datapoint is a refresh of her check across 100 “best B2B software” queries.

Key claims:
• Google now stresses AI content must be manually reviewed and fact-checked.
• Fake author identities are explicitly labeled deceptive.
• Google staff say scaled content is an increasing spam problem.
• Spam updates are happening faster.
• Many GEO tactics resemble old-school SEO spam.

She also argues AI Overviews cite fewer self-promotional “best of” listicles, sometimes excluding the publisher’s brand while recommending competitors. In her experience, impacted sites often share patterns: large-scale AI/templated pages, weak human review, misleading authors, and self-promotional pages aimed at winning AI citations.

Advice: cut low-value scaled content, use real authors, disclose AI use when appropriate, fact-check aggressively, and avoid paid/manipulative mention schemes.

Main limitation: it’s expert interpretation more than evidence. The 100-query sample is lightly described, and her commercial incentive may bias toward alarm. Still, it’s a useful snapshot of what an experienced SEO thinks Google is signaling, with a few strong visual candidates (the “cycle of SEO” graphic and AI Overview listicle percentages).