A new report from BrightEdge has just highlighted one of the important questions in search and AI today: how do Google AI Overviews (AIO), Google AI Mode and ChatGPT actually surface brands and what does that mean for marketers who want visibility?
According to the study, conducted using BrightEdge’s AI Catalyst tool, the three platforms disagreed on brand mentions nearly 62% of the time. Only 33.5% of queries showed the same brand results across all three systems.
That number immediately caught my attention. If AI tools, supposedly trained on vast swaths of data disagree this much, then the future of brand visibility is not just about being “number one” anymore.
It is about understanding how each AI interprets, cites and recommends brands differently.
And that leads to an important question: are we entering an era where SEO is not just about optimizing for Google search but about optimizing for AI personalities?
The Research: How BrightEdge Tested AI Search
BrightEdge analyzed tens of thousands of identical queries across ChatGPT, Google AI Overviews and Google AI Mode. These were not random tests but structured queries spanning both informational and commercial intent, from “how compound interest works” to “buy laptops online.”
The findings:
- Google AI Overviews surfaced an average of 6.02 brand mentions per query.
- ChatGPT surfaced far fewer, at 2.37 mentions per query.
- Google AI Mode cited brands least often of the three.
When it came to commercial intent queries, those with phrases like buy, deals, where brand mentions occurred 65% of the time across all three platforms.
Vertical industries like e-commerce and finance performed particularly well, with 40% or more brand coverage across each platform.
This suggests something powerful: AI search platforms recognize transactional intent and surface brands accordingly, just as traditional search engines have done for years.
Diverging Personalities On How Each AI Behaves
What shock most is that each platform seems to have its own “personality” when it comes to citing brands. BrightEdge summarized the differences like this:
- ChatGPT: tends to surface trusted, historically established brands, even without grounding in live search data.
- Google AI Overviews (AIO): casts a wide net, citing 2.5x more brands than ChatGPT, and giving marketers more slots to compete for.
- Google AI Mode: selective and cautious, mentioning fewer brands but giving more weight to those it does cite.
So, depending on the platform, your visibility strategy shifts. For a startup brand, AIO might provide more entry points, while for legacy companies, ChatGPT’s reliance on training data provides an “authority dividend.”
This divergence, far from being random, reveals how differently these systems process brand signals. And that signals the need for a multi-pronged optimization strategy.
Authority or Training Data?
BrightEdge describes ChatGPT’s behavior as a result of “brand authority.” But I find myself questioning that word. Is it really about authority or just about patterns in training data?
Think about it: ChatGPT doesn’t have “ranking signals” in the SEO sense. Instead, it relies on:
- Frequency: how often a brand appears in training data.
- Prominence: whether the brand appeared as the main subject (headline) or background (footnote).
- Contextual embedding strength: how tightly the brand is associated with certain topics.
For example, Nike is so frequently tied to “running shoes” in articles, reviews and social chatter that ChatGPT naturally surfaces Nike. It is not authority in the Google sense but statistical association.
Still, BrightEdge is right that authority and quality matter. Because the more frequently and prominently your brand appears in authoritative contexts, the stronger those training associations become.
Shared Patterns: What Triggers Brand Mentions?
Even though the platforms disagree most of the time, BrightEdge found some shared patterns.
The strongest trigger? Commercial intent. When queries had clear purchase signals, nearly two-thirds of cases resulted in brand mentions across all three platforms.
Another insight: comparison queries. Phrases like “best laptops,” “top skincare brands,” or “best savings accounts” triggered brand mentions 43% of the time across all platforms.
That’s reassuring. It suggests that even in the AI era, intent-driven keywords remain a critical lever for visibility. Brands that position themselves within “best,” “top,” and “where to buy” contexts are more likely to be surfaced.
The Citation Network Effect
Perhaps the most interesting concept BrightEdge introduced is the “citation network effect.”
They argue that citations in one AI platform can strengthen your chances in others. For example:
- Being mentioned in ChatGPT through recognition in training data can boost authority.
- Appearing in Google AIO increases coverage and citation paths.
- Gaining a selective spot in Google AI Mode reinforces authority across platforms.
In short, visibility compounds. Just like backlinks once amplified search rankings, cross-platform AI mentions may build a new kind of ecosystem authority.
That means a single piece of content if crafted smartly could ripple across all three environments.
Why Traditional SEO Still Matters
One thing is clear from the BrightEdge data: traditional SEO remains the keystone.
Why? Because Google AI Overviews are grounded directly in live web content. If your site does not rank in traditional search, it is unlikely to surface in AIO.
ChatGPT complicates things, because it can cite brands directly from training data. But those training sets are themselves fed by the prominence of brands on the web. Which means SEO, PR and brand visibility all work together to reinforce future mentions.
As BrightEdge put it: “Traditional SEO is still the way to build visibility in AI search.”
Real-World Implications
Take e-commerce platform. A global brand like Nike is almost guaranteed visibility across platforms with decades of citations in training data plus ongoing dominance in organic search.
But what about a niche sneaker startup?
For them, Google AIO’s multiple slots per query may provide the best entry point. If they can earn citations in comparison queries like “best running shoes under $100,” they gain visibility even if ChatGPT ignores them.
In finance, the same applies. Banks like Chase or American Express will surface everywhere. But fintech startups may only break in through third-party validation, reviews, or targeted comparison queries — the very places where AIO and AI Mode are more flexible.
Toward AI-Native Brand Discovery
BrightEdge sums it up well: “We are witnessing the emergence of AI-native brand discovery.”
This is not about traditional rankings anymore. It’s about how different AI platforms interpret, recommend and cite brands with their own quirks:
- ChatGPT: historical trust.
- Google AIO: broad coverage.
- Google AI Mode: selective validation.
And here is the fascinating part: the 62% disagreement rate is not a flaw. It is an opportunity. For brands, it means there are more ways to win visibility, not fewer.
So, where does this leave marketers? Honestly, in a more complex but opportunity-rich landscape.
The new playbook is this:
- Invest in traditional SEO to secure citations in Google AIO.
- Strengthen brand presence so ChatGPT “remembers” you from its training data.
- Build third-party validation and niche authority to crack Google AI Mode’s selective mentions.
It is no longer about a single #1 ranking. It is about weaving your brand into the AI discovery ecosystem.
And maybe that’s the real story here. AI tools may disagree more than half the time but that very gap creates new chances for brands willing to adapt.
Dileep Thekkethil
AuthorDileep Thekkethil is the Director of Marketing at Stan Ventures, where he applies over 15 years of SEO and digital marketing expertise to drive growth and authority. A former journalist with six years of experience, he combines strategic storytelling with technical know-how to help brands navigate the shift toward AI-driven search and generative engines. Dileep is a strong advocate for Google’s EEAT standards, regularly sharing real-world use cases and scenarios to demystify complex marketing trends. He is an avid gardener of tropical fruits, a motor enthusiast, and a dedicated caretaker of his pair of cockatiels.