What happens when someone searches my brand name in AI?

When someone searches your brand name in ChatGPT, Gemini, Claude, or Perplexity, the AI generates a summary of what it 'knows' about you, drawn from web content, reviews, news, and other sources it was trained on. This summary might be accurate, outdated, incomplete, or even misleading. Most brands have never checked what AI says about them.

Can AI give wrong information about my brand?

Yes. AI models can hallucinate (generate false information), use outdated data, or emphasize negative aspects disproportionately. We've seen cases where AI models attribute competitor features to the wrong brand, cite old pricing, or repeat criticism from years ago as if it's current. This is why daily monitoring matters.

How is branded search in AI different from Google branded search?

In Google, branded search shows your website, social profiles, reviews, and knowledge panel. You largely control the narrative. In AI search, the model synthesizes all sources into a single narrative that you don't control. The AI decides what to emphasize, what to include, and what to leave out.

How do I protect my brand's reputation in AI?

Start by monitoring what AI models say about you daily. Ensure your brand information is accurate and consistent across the web. Build authoritative content that AI can reference. Respond to issues quickly. When AI picks up negative signals, they can persist for weeks. And work with experts who understand AI visibility. Honeyb's Full Spectrum ($249/mo) and Enterprise tiers include a monthly 30-minute strategy call with someone who's worked on AI visibility for fast-growing brands.

What is branded search volume shifting to AI?

Industry data shows that branded search queries are increasingly happening in AI tools instead of Google. Users who used to type your brand name into Google are now asking ChatGPT 'tell me about [your brand]' or 'is [your brand] good?' This shift means your brand's AI presence matters as much as your Google presence.

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Branded Search in the Age of AI

People are searching your brand name in ChatGPT and Gemini, not just Google. What they find there is shaping their opinion of your brand, and you probably don't even know what AI is saying.

Matiss Katanenko

Co-founder, Honeyb

Last updated June 4, 2026

Latest research update

What the June 2026 Ahrefs data adds to branded search behaviour

Ahrefs published the most rigorous public dataset on AI search behaviour to date. Three findings reshape how branded search needs to be approached.

AI Overviews reduce clicks to the #1 organic result by 58%, up from 34.5% just ten months earlier. For branded queries that trigger an AI Overview, the click loss is permanent. Branded search optimisation now means being cited inside the AI Overview, not just ranking above it.
99.9% of AI Overviews appear on informational queries, 3.2% on shopping. Transactional and navigational branded searches still flow through to brand sites at roughly pre-AI rates. The hybrid posture (citation strategy for top-of-funnel, click strategy for bottom-of-funnel) is the right default.
AI Mode and AI Overviews cite different sources 86.3% of the time. Branded search measurement needs to treat both as distinct surfaces even on the same query.

Full breakdown in the Ahrefs 10 findings post.

Branded search is moving to AI

For years, branded search meant one thing: someone types your brand name into Google. You'd see your website, your knowledge panel, maybe some reviews. You largely controlled the narrative.

That's changing. A growing number of people now ask AI tools about brands directly: "Tell me about [brand]," "Is [brand] good?" "What do people think of [brand]?" And the AI gives them a synthesized answer, drawing from reviews, press coverage, social media, and web content.

The problem? You don't control what the AI says. It might emphasize a 3-year-old complaint. It might confuse you with a competitor. It might get your pricing wrong. It might describe your product using language that doesn't match your positioning at all.

And unlike Google, where you can see the results by searching yourself, AI responses vary by user and change daily. The only way to know what AI says about your brand is to monitor it systematically.

The risks of unmonitored branded search in AI

Outdated information

AI models may reference old pricing, discontinued products, or resolved issues as if they're current. Without monitoring, you don't know what outdated information is shaping perceptions.

Competitor misattribution

We've seen AI models attribute competitor features to the wrong brand, or recommend competitors when asked specifically about your brand. This happens more often than you'd expect.

Negative amplification

A single negative review or news article can be disproportionately weighted in AI responses. If AI leads with criticism when someone searches your brand, it directly impacts conversion.

How to take control of your AI branded search

1. Check what AI says about you today. Start with Honeyb's free AI Visibility Checker. In 60 seconds, you'll see how all major AI models describe your brand.

2. Set up daily monitoring. AI responses change constantly. A new review, a competitor's press release, or a model update can shift what AI says about you overnight. Daily monitoring across all major models gives you early warning.

3. Track sentiment, not just mentions. Being mentioned isn't enough. You need to know whether AI describes you positively ("highly recommended"), neutrally ("one option"), or cautiously ("some users report issues"). Sentiment determines whether the mention helps or hurts your brand.

4. Identify and address gaps. If AI mentions your competitors but not you, or if it gets key facts wrong, you can take targeted action: updated content, new third-party citations, corrected structured data.

5. Work with an expert. On Honeyb's Full Spectrum tier ($249/mo) and Enterprise, every account includes a monthly 30-minute strategy call with the team. Your dedicated AI visibility expert reviews your branded search data and helps you prioritize the actions that will have the most impact.

Frequently asked questions

About the author

Matiss Katanenko

Co-founder, Honeyb

My name is Matiss Katanenko and I co-founded Honeyb, the AI visibility platform that tracks how ChatGPT, Gemini, Claude, Perplexity and the other major AI engines talk about brands. I'm based in Riga, Latvia. Before Honeyb I spent years on the agency side running SEO and content programs for fast-growing brands across the US and Europe. That work is where I watched AI search start to compress the entire discovery channel into a four-brand short list, and decided to build the tool I wished agencies had. In my free time I'm in the sauna, on a padel court, or behind a drum kit.

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