Gemini Optimization
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AI Gives Generic Non-Specific Answers

Gemini: Get Specific Recommendations from AI

AI Gives Generic Non-Specific Answers on Gemini? Here's why it happens, the fix, and how to prevent it.

Gemini Context

Position your brand to be recommended by Google's Gemini AI across Search, Workspace, and Google's ecosystem.

Leave the Google-Extended robots.txt token allowed if you want Gemini to use your content for grounding (it does not affect Google Search)

Maintain strong traditional SEO fundamentals

Implement comprehensive structured data markup

Why This Problem Matters

When users ask AI about your category, it gives generic advice instead of recommending specific solutions like yours.

Why This Happens in Gemini

Gemini gives a generic answer when it has no specific source to draw on. If your pages talk about the category instead of naming concrete use cases, prices and differences, there is nothing specific in content Googlebot crawls, subject to your Google-Extended setting for Gemini grounding to quote.

Signs You Have This Problem in Gemini

1

Gemini gives category advice without naming any vendor

2

Gemini provides general category advice without naming brands

3

Your specific solution isn't mentioned even when relevant

4

Gemini says 'there are many options' without specifics

5

Competitors get named but you remain generic

How to Fix This in Gemini

Follow these Gemini-specific solutions:

1

Replace category-level copy with specifics: named use cases, prices, limits

2

Answer the exact questions buyers ask Gemini on dedicated pages

3

Create content with specific, citable claims

4

Add concrete statistics and data points

5

Develop unique use cases and case studies

6

Include specific customer examples and outcomes

7

Position content to answer specific questions

Gemini Technical Details

Gemini has no separate crawler: Googlebot does the crawling, and the Google-Extended robots.txt token (not a separate user agent) controls whether that content is used for Gemini training and grounding without affecting Google Search. Pages a user hands to Gemini are fetched by Google's user-triggered fetchers, which generally ignore robots.txt.

Googlebot

Search / answers

Crawls for Google Search; its fetches also supply Gemini.

Google-Extended

robots.txt token only

robots.txt token only, with no HTTP user agent of its own. Opts content out of Gemini training and grounding without affecting Google Search.

robots.txt rule to stay eligible for Gemini answers:

User-agent: Googlebot
Allow: /

Source: developers.google.com

Prevent This Problem in Gemini

Avoid generic category descriptions

Always include specific examples and data

Create content that directly answers questions

Differentiate from commodity category content

Need Help Fixing Gemini Issues?

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Frequently Asked Questions

Why is this happening in Gemini?

Gemini gives a generic answer when it has no specific source to draw on. If your pages talk about the category instead of naming concrete use cases, prices and differences, there is nothing specific in content Googlebot crawls, subject to your Google-Extended setting for Gemini grounding to quote.

What is the first fix to prioritize in Gemini?

Replace category-level copy with specifics: named use cases, prices, limits