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Google Gemini may adapt AI responses to match the user’s tone: Report

A newly published, unconfirmed report claims that Google’s Gemini AI has been instructed to observe a user’s tone and ascertain sentiment while basing its responses on fact and reality.

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

What’s new. The report focuses on the inherent synergy in the system-level commands that guide Gemini’s response. The report, published by Elie Berreby, head of SEO and search AI at Adorama, suggested that Gemini was instructed to:

  • Match the user’s tone, energy, and purpose.
  • Validate feelings before responding.
  • Deliver responses aligned to the user’s perspective.

What does it mean. “Authority that supports too much often exceeds the factual basis,” writes Berreby. So instead of acting as a neutral aggregator, AI responses may:

  • Confirm the negative frame (“Why is X bad?”).
  • Emphasize the positive frame (“Why is X good?”).

If public opinion is wrong, AI can amplify it. As the report suggests:

  • AI reflects existing emotional signals.
  • It doesn’t “scale” the way blue links usually do.

Question outline. The emotional frame of the question concerns:

  • What sources are cited.
  • How to write summaries.
  • The perfect tone of the answer.

Google’s AI overview is already showing a shift in tone, which often aligns with the intent of the query beyond keywords. This report provides a possible explanation.

Not guaranteed. Google has yet to confirm the leak. As Berreby noted in his report: “I decided to share with the public only a small part of the leaked internal system information. I am not sharing any sensitive data. This is not a zero-day exploit. This is a small leak.”

Report. This Gemini Leak Means You Can’t Get Over The Feeling


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Danny Goodwin

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

Goodwin has been editing and writing about the latest developments and trends in search and digital marketing since 2007. He was previously Editor-in-Chief 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 shared his knowledge in a variety of publications and podcasts.

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