Semrush has found that ChatGPT and Google AI Mode do not create the same visibility picture for brands. Its cross-platform mini study compares the two systems across 22 industries, examining the brands they mention, the sources they trust, and the competitors they surface in AI-generated results. For enterprises building an AI discovery strategy, the result is a clear warning against treating visibility in one generative platform as a proxy for visibility everywhere.
The comparison is important because AI assistants are becoming another layer between a customer question and the information that shapes an answer. Traditional search measurement can still be useful, but it does not by itself show whether a brand is being named, contextualized, or displaced when users ask ChatGPT or use Google AI Mode. Semrush's official ChatGPT and Google AI Mode mini study frames that difference as a matter of distinct model behavior rather than a single, shared AI search environment.
Why the two platforms can surface different businesses
Semrush's study focuses on three connected dimensions of AI visibility: brand mentions, trusted sources, and competitive sets. Those dimensions matter because a model's answer is not simply a reordered version of a conventional search results page. The sources and content signals it relies on can affect which organizations become part of the answer and which alternatives are presented alongside them.
The research confirms that ChatGPT and Google AI Mode differ in their citation patterns, preferred source types, and the mix of content formats they tend to surface. Across industries, those differences can produce different brand mentions and competitive standings. The study does not support a universal conclusion that one platform is better for every brand. Instead, it establishes that each platform can represent an industry differently.
| Visibility dimension | ChatGPT | Google AI Mode |
|---|---|---|
| Brands mentioned | Can produce a distinct set of brand mentions by industry | Can produce a distinct set of brand mentions by industry |
| Sources relied on | Uses citation patterns and source signals that differ from Google AI Mode | Uses citation patterns and source signals that differ from ChatGPT |
| Competitors surfaced | May show different competitive standings | May show different competitive standings |
| Content formats surfaced | Mix of surfaced content formats can differ | Mix of surfaced content formats can differ |
This distinction changes the measurement question for marketing, communications, and product teams. It is not enough to ask whether a company ranks or appears prominently in a familiar search workflow. The more useful questions are whether the brand is mentioned for relevant prompts, what sources appear to support that presence, and which competitors appear in the same answers on each platform.
Mentions are not the same as rankings
A brand mention in an AI-generated response is a different signal from a position in a traditional list of search results. It may be influenced by the model's selection of sources, its interpretation of the question, and the competitive context it chooses to include. Semrush's findings therefore point to a broader measurement model: visibility needs to be evaluated in the actual answer environments where users are researching products, services, and categories.
That does not mean established SEO practices are obsolete. Rather, the study suggests that a single-channel reporting view is incomplete when AI systems draw on differing source and content signals. A business that appears consistently in one platform may have a materially different presence in another, even when the underlying customer topic is the same.
What this means for enterprise governance
The practical implication is platform-specific AI visibility governance. Enterprises need a consistent way to monitor how their brand, owned information, and competitors are represented across the AI systems that matter to their audience. This is especially relevant when leadership teams use AI visibility data to guide content priorities, reputation management, or investment decisions.
A useful governance approach should separate observation from inference. Teams can track recurring brand mentions, cited or surfaced source patterns, and competitor presence, while avoiding the assumption that a result on one platform predicts another. They should also document the prompts and categories being monitored so that changes can be interpreted in context rather than treated as isolated wins or losses.
The Semrush study sits within the company's broader AI Visibility Index program, which benchmarks brand visibility across multiple AI platforms and industries. That context reinforces the central finding: AI discovery is not one uniform channel. It is a set of systems whose outputs can vary according to their underlying signals and source preferences.
For businesses, the immediate opportunity is not to chase a generic notion of AI optimization. It is to establish a defensible baseline for the platforms that influence their market, identify meaningful gaps in brand and competitor representation, and use those observations to inform content and governance decisions. The study provides evidence for that more disciplined approach, while leaving the specific visibility outcome dependent on industry, platform, and the questions users ask.
For businesses whose prospects increasingly use AI assistants during research, separate platform measurement can reveal brand gaps that conventional reporting misses. Scalevise helps teams turn that evidence into a practical visibility baseline, connecting AI answer monitoring with content and market priorities. Use the Scalevise AI Visibility GEO Checker to assess how your business appears across relevant AI discovery contexts, compare the signals that matter, and prioritize the next actions with greater confidence. Start an AI visibility scan.
Frequently Asked Questions
What does Semrush's ChatGPT and Google AI Mode study compare?
The study compares the brands each model mentions, the sources each relies on, and the competitors each surfaces across 22 industries.
Does the study show that ChatGPT and Google AI Mode use the same sources?
No. Semrush says the platforms have different citation patterns, preferred source types, and mixes of content formats, which can lead to different visibility outcomes.
Why does this matter for enterprise SEO and AI visibility?
A brand's visibility on one AI platform cannot be assumed to represent its visibility on another. Enterprises need measurement that reflects the specific platforms relevant to their audiences.
Does a brand mention in an AI answer equal a traditional search ranking?
No. A brand mention is an AI visibility signal shaped by the model's answer generation, source selection, and competitive context, rather than a position in a conventional results list.
Conclusion
Semrush's 22-industry comparison confirms that ChatGPT and Google AI Mode can surface different brands, sources, and competitive landscapes. For enterprises, the key takeaway is straightforward: AI visibility should be measured and governed by platform, not inferred from a single model or a traditional search view.
