Gemini says wrong things about my brand — how to fix it

Google Gemini has a distinct advantage over other AI models: it has access to Google's live web index and knowledge graph. This means corrections can take effect faster — but it also means inaccuracies can come from more sources.

When Gemini gets your brand wrong, here is exactly what to do.

How Gemini sources brand information

Gemini pulls from multiple Google systems:

• Google's web index — the same crawled pages that appear in Google Search
• Knowledge Graph — structured facts about entities (brands, people, places)
• Google Business Profile — business details you manage directly
• Training data — similar to other models, a snapshot of web content at a training cutoff

This is both good news and bad news. Good: you have more levers to pull. Bad: inaccuracies can come from any of these sources.

Step 1: Identify what Gemini is saying

Ask Gemini the same queries your customers would use:

• "Tell me about [your brand]"
• "[your brand] vs [competitor]"
• "What does [your brand] cost?"
• "Best tools for [your use case]"

Also check Google Search AI Overviews — these are Gemini-powered summaries that appear at the top of some search results. They reach people who never explicitly use Gemini.

Where to check

• gemini.google.com — direct Gemini conversations
• Google Search — AI Overviews on relevant queries
• Google Workspace — Gemini integrated into Gmail, Docs, etc.

Step 2: Fix Google-specific sources

Google Business Profile

If your brand has a physical presence or serves a geographic area, your Google Business Profile is a primary source. Verify:

• Business description matches your website
• Category is correct
• Hours, contact, and service areas are current
• Photos and posts are up to date

Google Knowledge Panel

If your brand has a knowledge panel in Google Search, verify:

• Click "Claim this knowledge panel" if you have not already
• Submit corrections for any incorrect facts
• Link to official sources

Your website (Google's web index)

Google re-crawls pages frequently. Updates to your website appear in Google's index faster than in other AI training data:

• Fix incorrect information on any indexed page
• Ensure your sitemap is submitted in Google Search Console
• Request re-indexing of corrected pages via GSC

Structured data

Google explicitly uses schema markup for its knowledge graph:

• Organization schema with correct name, description, foundingDate
• Product schema with current pricing
• FAQ schema on relevant pages
• SameAs links connecting all your official profiles

Step 3: Use Google's feedback mechanisms

On Gemini responses:

• Click the feedback icon (thumbs down or flag)
• Describe the inaccuracy specifically
• Reference your official source

On AI Overviews in Search:

• Click the three-dot menu on the AI Overview
• Select "Report" and describe the issue
• Google is more responsive to AI Overview corrections because they appear in Search results with Google's implicit endorsement

Google Business Profile corrections:

• If information in Gemini comes from your Business Profile, fix it there directly
• Changes propagate to Gemini faster than web content changes

Step 4: Monitor for corrections

Gemini's access to live web results means corrections can appear faster than with ChatGPT — days to weeks rather than months. But there is no notification system.

What to track

• Same queries, weekly at minimum
• Check both Gemini directly and AI Overviews in Search
• Watch for partial corrections (some claims fixed, others still wrong)
• Monitor competitor comparisons — Gemini may update competitor information without updating yours

Monitoring approaches

Manual spot-checks work initially. For ongoing tracking, AIVIS scans Gemini alongside other models, compares claims against your verified facts, and flags when responses change — whether improvements or new problems.

Gemini vs ChatGPT: key differences for corrections

Next steps

1. Check your Google Business Profile for accuracy right now — it is the fastest fix
2. Verify your structured data using Google's Rich Results Test
3. Ask Gemini the queries from Step 1 and document every inaccuracy
4. Read the complete fix playbook for the full cross-model strategy