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TL;DR: Google is pushing back on popular GEO shortcuts like llms.txt, content chunking, schema-for-AI, and artificial brand mentions, forcing marketers to rethink AI visibility strategies around evidence, authority, and measurable impact.
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Google has published official guidance discouraging several popular Generative Engine Optimization tactics for generative AI features in Search, including llms.txt files, schema-as-ranking-signal claims, content chunking, and artificial brand mentions.
That guidance is forcing marketers to reassess the GEO playbook many teams have been building around technical shortcuts rather than authority, quality, and measurable visibility.
Industry analysis also suggests that some commonly promoted AI-search tactics are not delivering measurable citation lift. At the same time, AI Overviews are continuing to reduce organic click-through opportunities even for pages that still rank well.
The result is a split-screen reality for marketers: traditional SEO remains the dominant traffic driver, but AI-generated answers are changing how users discover and evaluate brands.
Marketers can no longer treat every GEO tactic as a safe or worthwhile investment. Some of the tactics that sounded like easy wins now appear unsupported by evidence or actively discouraged by Google.
This matters because teams are being asked to optimize across traditional search, AI Overviews, AI Mode, ChatGPT, Perplexity, Gemini, and other AI surfaces at the same time. Without a measurement layer, it is easy to overinvest in tactics that do not move visibility or revenue.
The durable opportunity is not chasing shortcuts. It is understanding where a brand appears, where competitors are being cited, and which content or authority signals are actually influencing visibility across both search and AI answers.
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Google's guidance makes one thing clear: marketers need evidence, not guesswork. Semrush One helps teams monitor traditional SEO performance and AI visibility in one place, so they can separate tactics that matter from tactics that only sound convincing.
The right framing is not “GEO is dead.” AI visibility still matters, and the need to appear in AI-generated answers is growing. The shift is that marketers need to stop treating every new GEO tactic as a guaranteed shortcut.
Start with the evidence. Google has discouraged several popular tactics, and broader industry analysis suggests that schema, content chunking, and llms.txt do not automatically produce AI citations.
The bigger issue is measurement. If teams cannot connect citations, mentions, rankings, and traffic, they cannot know whether GEO activity is helping or simply consuming budget.