Your Clients Are Googling Your Brand and Getting an AI Summary Instead. Here's How to Control What It Says.

I Googled a client's business name last Tuesday. Not for SEO research. Not for a competitive analysis. Just a quick check to see how things looked.

Google didn't show their website first. It showed an AI Overview. A neat little paragraph that summarized the business based on a two-year-old Yelp review, a Reddit thread from 2024, and half a sentence from a local news article that didn't even get the services right.

The client had no idea. They thought their website was still the first thing people saw when searching their name.

It's not. Not anymore.

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I Googled a Client's Brand Last Week. Google Answered Before They Could.

89% of brand searches now trigger AI Overviews. That number comes from Conductor's research earlier this year. When someone types your business name into Google, there's a near-certain chance they'll see an AI-generated summary before they ever reach your website.

Here's the part that should make you uncomfortable: 85% of what AI says about your brand comes from third-party sources. Not your website. Not your carefully crafted About page. Reddit. Yelp. YouTube comments. News articles. Random blog posts from people you've never met. That's where Google pulls its information, and that's what your potential customers see first.

I've written about how AI is killing your traffic before. But this is different. This isn't about losing clicks. This is about losing control over your brand reputation in AI search results, the summary that shows up before anyone ever visits your site.

Where AI Gets Its Information About Your Business

59.6% of AI Overview citations come from URLs that don't even rank in the top 20 organic results. You could have perfect SEO, rank #1 for your brand name, and Google's AI would still pull information from a page buried on page 5.

Here's the source stack, based on what I've seen across client accounts and what the data confirms:

48% of citations come from community platforms. Reddit and YouTube are the biggest contributors. If someone posted about your business on Reddit three years ago, AI might treat that post as a primary source today. If someone made a YouTube video reviewing your service, that transcript feeds the model.

Nearly 90% of third-party brand mentions come from listicles, comparisons, and review articles. Not from your own content. From "Top 10 Best [Your Industry] in [Your City]" posts written by bloggers, directories, and content mills.

The model powering all of this is Gemini 3, which became the default for Google AI Overviews in January 2026. It favors recency, cross-source consistency, and entity disambiguation. If multiple sources say the same thing about your business, AI treats it as fact. Even if it's wrong.

Understanding how AI systems select sources helps, but for brand queries specifically, the game is different. You're not trying to rank content. You're trying to shape what already exists about you across the web.

The 15-Minute Brand Audit You Should Do Right Now

Before you fix anything, you need to see what AI is actually saying. I do this for every new client during onboarding, and I'm consistently surprised by what shows up.

Google: Search your exact business name. Look for the AI Overview box at the top. Screenshot it. Note which sources are cited, what the summary says, and whether any information is wrong or outdated.

ChatGPT: Open a new conversation and ask: "What do you know about [your business name]?" Then follow up with: "Would you recommend [your business] for [your main service]?" The answers tell you what the training data contains about you.

Perplexity: Run the same queries. Perplexity shows its source citations by default, so you can see exactly which web pages it's pulling from. This is often the most revealing of the three.

What to look for across all three:

• Wrong information (outdated services, incorrect locations, old team members)
• Negative sentiment from old reviews or complaints
• Competitor mentions in your brand query results
• Missing context (AI mentions one product but ignores your main service)

Run each query at least three times. AI responses vary between sessions, so a single check can be misleading. Score the median, not the best case.

Why AI Overviews Are Meaner Than ChatGPT

BrightEdge published a study in March 2026 that stopped me mid-scroll: Google AI Overviews are 44% more likely to display negative information about a brand than ChatGPT.

That's not a small difference. Google's AI specifically skews toward controversy-driven content. Lawsuits, boycotts, data breaches, regulatory actions, product recalls. If any of those exist in your brand's history, even tangentially, AI Overviews will find them and surface them.

For every million queries, an estimated 23,000 get a negative AI Overview response. That sounds small in percentage terms. If your brand gets 500 searches a month, it means roughly 12 of those searchers see something negative about you before they see anything else.

A pet breeding business lost actual sales because Google's AI Overview pulled a false customer "story" from a random blog claiming their medical records weren't accepted by insurance. It wasn't true. Didn't matter. AI said it, and potential customers believed it.

Google also treated Reddit fan speculation about a Hershey Park ride closing as official company information. Just because someone on Reddit said it confidently enough.

The whole GEO industry has sprung up promising to fix this. Some of it is legitimate. A lot of it is repackaged reputation management with a new acronym. The uncomfortable reality is that you can't file a support ticket to correct an AI Overview. You have to influence the sources it pulls from.

The Playbook: How to Actually Influence What AI Says About You

You don't "control" your brand reputation in AI search results. You influence it. But these five things have the most measurable impact based on what I've seen work and what the data supports.

Fix Your Entity First

This is the highest-leverage move. AI systems identify your business as an "entity," a distinct thing in their knowledge graph. If that entity is fuzzy (multiple listings with different names, no structured data, no Wikidata entry), AI guesses. And it guesses badly.

Create a Wikidata entry for your business with accurate properties: industry, founding date, headquarters, key people. Add Organization schema to your website with SameAs identifiers pointing to your social profiles and directory listings. A Schema App case study found that entity linking alone increased AI Overview visibility by 19.72%.

Google's own AI optimization guide emphasizes that consistent structured data is one of the few things you can directly control. I've broken down what Google actually recommends versus what the GEO industry claims.

Own Your Review Narrative

AI weighs reviews heavily for sentiment analysis. If your most recent reviews are from 2023 and your one-star rant from 2024 is the freshest signal, guess what AI leads with.

Actively collect fresh reviews on Google, Yelp, Trustpilot, G2, and industry-specific platforms. Reviews that mention specific services or keywords carry more weight because they give AI concrete language to work with. "Great plumber" is generic. "Fixed our tankless water heater same day and explained the issue clearly" gives AI something to cite.

Get Mentioned in the Right Places

90% of AI brand mentions come from third-party listicles, comparisons, and review articles. Your own blog posts about yourself don't move the needle nearly as much as a mention in a "Best [Service] in [City]" article on someone else's site.

Pursue coverage on niche industry blogs, local business directories, and relevant comparison sites. Guest posts on industry publications. Local press mentions. These are the sources AI trusts for brand queries.

Create FAQ Content AI Can Parse

Write a dedicated FAQ page that directly answers common questions about your business. Use FAQ schema markup. Structure it as: question, then a direct two-sentence answer, then supporting detail.

AI systems love this format because it's easy to extract. When someone asks "Is [your business] good for [service]?" you want AI to pull from your FAQ, not from a random Reddit comment.

Keep Everything Consistent and Fresh

Audit your business information quarterly across Google Business Profile, Yelp, Apple Maps, Bing Places, and your data aggregators. Inconsistencies confuse AI. If your website says you offer five services but Yelp lists three, AI has to pick one version. It doesn't always pick yours.

Tools That Actually Help You Monitor This

For most businesses, a monthly manual audit catches 80% of issues. Open Google, ChatGPT, and Perplexity. Run your brand queries. Screenshot the results. Compare to last month. Done.

If you want something more structured:

Free: HubSpot's AEO Grader scores your AI visibility across ChatGPT, Perplexity, and Gemini. It's basic, but it gives you a starting baseline you can track month over month.

Paid: OtterlyAI tracks Google AI Overviews, ChatGPT, Gemini, Copilot, and Perplexity in one dashboard. Profound offers citation-specific tracking. SE Ranking has a Perplexity visibility tracker.

My honest take: don't buy tools until you've done the manual audit at least twice. Most businesses I work with discover their problems in the first 15-minute audit. The tools make sense once you have a baseline and want to track trends. 30 prompts per month is the sweet spot for ongoing monitoring once you have a system in place.

What This Means If You're a Local Business

Contractors, law firms, restaurants, dental offices. If you're a local service business, everything above applies to you double.

Local businesses live and die by brand searches. When someone Googles "Smith Plumbing Austin," they used to see your website, your Google reviews, and a map pin. Now they might see an AI summary that leads with a complaint from 2022 or mentions a competitor in the same breath.

This gets worse when you consider that Google just deleted 292 million reviews. If your review count dropped and the remaining reviews skew older or more negative, AI has less positive signal to work with.

What local businesses should prioritize:

• Fresh Google reviews with specific, keyword-rich language (not just "great service!")
• Consistent NAP (Name, Address, Phone) across every single directory, not just the big ones
• Local press and blog mentions. A feature in a local business blog carries more weight for AI than a dozen social media posts
• Google Business Profile optimization. Complete every field. Add photos monthly. Respond to every review, positive or negative

The Uncomfortable Truth About AI Brand Control

I won't sugarcoat this. You can do everything right and still find that AI says something inaccurate about your business next month. That's the reality of a system that synthesizes information from sources you can't fully control.

But here's what I've noticed after running these audits for a growing number of clients: the businesses that are fine are the ones that were already doing the basics. Collecting reviews. Keeping their information consistent across platforms. Being present and active on relevant sites. AI just amplifies what's already there.

The businesses in trouble are the ones that ignored their online presence for years. No reviews since 2023. Inconsistent listings across directories. No structured data. They're now discovering their brand reputation in AI search results is built from outdated Yelp reviews, a random Reddit mention, and a news article that got their services wrong.

This is reputation management for a new era. The principles haven't changed much. The mechanics have. If you've been putting off your digital housekeeping, AI just raised the stakes.

Need help figuring out what AI is saying about your business? That's exactly the kind of audit we do at Wunderlandmedia.