Google AI Overviews Is Wrong 1 in 10 Times, And Getting Worse at Citing Sources

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By NewSunSEO April 8, 2026

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According to Oumi, Google AI Overviews delivers wrong answers roughly 1 in 10 searches, and even when the answers are correct, the citations are increasingly made up. The research, conducted by AI startup Oumi on 4,326 factual searches, shows that Google’s accuracy improved between October 2025 and February 2026, but its ability to cite real, supporting sources got significantly worse.

What Does the Data Show?

Metric	October 2025 (Gemini 2)	February 2026 (Gemini 3)
Answer Accuracy	85%	91%
Error Rate	15%	9%
Ungrounded Answers (bad citations)	37%	56%

Let that sink in: 56% of AI Overview answers now cite sources that don’t actually support the claim. That’s up from 37% just four months earlier. Google got better at being right, while simultaneously getting much worse at being honest about where it learned it.

What Is the “Hallucination Confidence” Problem?

This shift is one of the most concerning developments in AI search: answers that are not outright errors but are presented with fabricated authority. When a user asks Google a question, an AI Overview appears at the top of the page. They don’t see the linked source, which may not support the answer at all.

The model produces fluent language but sometimes cites the wrong sources.

Google pushed back, calling the Oumi study “flawed” with “serious holes”, but offered no specific data to counter it.

What Does This Mean for Your Business’s SEO?

If you run a business and care about organic search visibility, this study changes the conversation around AI Overviews in three important ways:

Are AI Overviews Suppressing Clicks AND Getting Facts Wrong?

AI Overviews already reduce click-through rates by answering questions before users ever reach your website. Now we know those answers are wrong 9% of the time, and misattributed 56% of the time. If Google’s AI is referencing your industry, there’s a real chance it’s misrepresenting your field and not even citing authoritative sources when it does.

Why Does E-E-A-T Content Become Your Moat?

Google’s own quality guidelines emphasize Experience, Expertise, Authoritativeness, and Trustworthiness (E-E-A-T). When AI citations are decoupling from actual source content, the sites that will remain defensible are those with structured, fact-dense, authoritative content, the kind that clearly demonstrates real expertise. Thin, generic content is the first thing AI replaces. Deep, well-cited expert content is the last.

Is Your Audience Being Misinformed?

If a potential customer asks a search engine about an industry’s pricing, regulations, or best practices and the resulting AI Overview answer is wrong or poorly cited, they may decide based on it before reaching you. Companies that publish clear, fact-based content correcting common misconceptions may gain an advantage over competitors that do not.

What Should You Do About It?

Audit your top landing page topics. What questions is Google answering about your industry in AI Overviews? Are those answers correct? Are you even being cited?
Double down on structured content. Use clear headings, data tables, cited statistics, and expert author bios. These signals remain the strongest indicators of E-E-A-T.
Target “wrong AI answer” keywords. If Google AI Overviews is getting something wrong in your niche, there’s an opportunity to rank with correct, well-sourced content that searchers will trust more once they see the disconnect.
Monitor your branded queries. Check if AI Overviews are misrepresenting your business, products, or services, and flag inaccuracies through Google Search Console.

The Bottom Line

Google AI Overviews are becoming more confident but less accountable. A 9% error rate sounds small until you consider Google processes over 8 billion searches per day, that’s potentially 720 million wrong AI answers every 24 hours. And with 56% of answers citing sources that don’t back up the claim, the trust gap is widening fast.

For businesses investing in SEO, this is not a reason to panic, but it is a reason to invest in expertise that produces accurate citations and credible content.

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Sources: Oumi AI study; Google AI Overviews performance benchmarks (Oct 2025 vs. Feb 2026). Contact NewSunSEO to learn how we can help.

Learn more about our AI Optimization and GEO services at NewSunSEO.

FAQ

How often is Google AI Overviews wrong?

According to the Oumi study of 4,326 factual searches, Google AI Overviews delivered wrong answers 9% of the time in February 2026, down from a 15% error rate in October 2025. Accuracy improved from 85% to 91% across the four-month window.

Why is Google AI Overviews getting worse at citing sources?

The share of AI Overview answers with ungrounded citations, meaning the linked source does not actually support the claim, rose from 37% in October 2025 to 56% in February 2026. Google called the Oumi study “flawed” with “serious holes” but did not provide specific data to counter the findings.

What should businesses do about inaccurate AI Overviews?

Audit the topics Google answers about your industry, build structured, fact-dense content that signals E-E-A-T, target “wrong AI answer” keywords with corrective content, and monitor branded queries in Google Search Console to flag misrepresentations.