A newly published, unverified report claims Google’s Gemini AI is instructed to mirror user tone and validate emotions while grounding its responses in fact and reality.

Why we care. If accurate, AI-generated search responses may vary based on how a query is phrased — not just the information available.

What’s new. The report centers on the inherent tension in the system-level instructions guiding how Gemini responds. The report, published by Elie Berreby, head of SEO and AI search at Adorama, suggested that Gemini is instructed to:

  • Match the user’s tone, energy, and intent.
  • Validate emotions before responding.
  • Deliver answers aligned with the user’s perspective.

What it means. The “overly supportive mandate frequently overrides the factual grounding,” Berreby wrote. So instead of acting as a neutral aggregator, AI answers may:

  • Reinforce negative framing (“Why is X bad?”).
  • Reinforce positive framing (“Why is X great?”).

If public perception is negative, AI may amplify it. As the report suggests:

  • AI reflects existing sentiment signals.
  • It doesn’t “balance” them the way blue links often do.

Query framing. The emotional framing of a query affects:

  • Which sources get cited.
  • How summaries are written.
  • The overall tone of the answer.

Google’s AI Overviews already show tone shifts, often aligning with query intent beyond keywords. This report offers a possible explanation.

Unverified. Google hasn’t confirmed the leak. As Berreby noted in his report: “I’ve decided to share only a fraction of the leaked internal system information with the general public. I’m not sharing any sensitive data. This isn’t a zero-day exploit. This is a tiny leak.”

The report. This Gemini Leak Means You Can’t Outrank a Feeling


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Danny GoodwinDanny Goodwin

Danny Goodwin is Editorial Director of Search Engine Land & Search Marketing Expo – SMX. He joined Search Engine Land in 2022 as Senior Editor. In addition to reporting on the latest search marketing news, he manages Search Engine Land’s SME (Subject Matter Expert) program. He also helps program U.S. SMX events.

Goodwin has been editing and writing about the latest developments and trends in search and digital marketing since 2007. He previously was Executive Editor of Search Engine Journal (from 2017 to 2022), managing editor of Momentology (from 2014-2016) and editor of Search Engine Watch (from 2007 to 2014). He has spoken at many major search conferences and virtual events, and has been sourced for his expertise by a wide range of publications and podcasts.