Only 36 Brands Are Visible on Every AI Platform: What It Means

A new study of 126 million AI search prompts found that only 36 global brands maintain top-100 visibility across ChatGPT, Perplexity, Gemini and Copilot every single month. Most businesses win on one AI platform while being invisible on the rest. If you're relying on a single-platform strategy to get noticed by AI, the data suggests that's no longer enough.

What changed?

Semrush released its expanded 2026 AI Visibility Index this week, scaling its research from an initial 2,500 prompts to 126 million US AI search prompts analysed between January and April 2026. The study set out to answer a simple question: which brands actually get seen across the major AI search platforms, and which only get seen on one.

The headline finding is stark. Only 36 global brands held top-100 visibility across all four platforms in every month studied. Everyone else was inconsistent, strong on one platform and largely absent on the others.

That pattern lines up with separate analysis published this week by Entrepreneur, which found that only 11% of domains are cited by both ChatGPT and Perplexity. Two of the biggest AI answer engines barely agree on who the trusted sources are, which means each has to be treated as its own ecosystem rather than a single combined target.

Visibility also isn't evenly spread by industry. In News and Media, the top three brands accounted for 82.9% of total category visibility, according to Semrush's data. In Consumer Electronics, the top three held 76.9%. Compare that with Finance, where the top three accounted for roughly 41.4% of visibility, and Industrial, at around 42.2%. Some categories are dominated by a handful of names; others are still wide open.

Why does this matter for your business?

If you operate in a concentrated category like news, media or consumer electronics, you're fighting for scraps left over by two or three dominant brands. If you're in finance, industrial or a similarly fragmented category, the door is far more open, since these less concentrated categories currently offer greater opportunities for brands to build visibility.

The cross-platform fragmentation matters just as much as category concentration. Most guidance on AI search still treats "AI visibility" as one target to hit. This data suggests that's the wrong mental model. A brand that has cracked ChatGPT citations has done almost nothing to guarantee visibility on Perplexity, Gemini or Copilot. Each platform pulls from different sources, weights freshness and authority differently, and updates its underlying model on its own schedule.

That point is reinforced by something Entrepreneur's analysis flagged from earlier in 2026: on 27 January, Google quietly swapped a new model, Gemini 3, into AI Overviews and AI Mode, with no "core update" announcement and no warning to site owners. The effects were platform-specific, too. ChatGPT, running on an entirely separate pipeline, was completely unaffected. A business tracking only one platform could have missed the shift entirely, or wrongly concluded its whole AI visibility strategy had failed.

For founders and marketing leaders, the practical implication is straightforward: treating "getting cited by AI" as a single project with a single scoreboard is a mistake. You need separate visibility tracking, and quite possibly separate content tactics, for each major platform your buyers actually use.

What should you do now?

Start by finding out where you currently stand, platform by platform, rather than assuming one number tells the whole story. Checking your own AI visibility with a free audit, such as the one Sited offers, is a straightforward way to see how your brand actually appears across different AI engines before you invest further effort.

Once you know your baseline, prioritise based on your category's concentration level. If you're in a fragmented category like finance or industrial, invest now while the competitive field is still open, because concentration tends to increase over time as a handful of brands earn repeat citations. If you're in a highly concentrated category like consumer electronics or media, you'll need a sharper differentiation angle, since generic content is unlikely to displace incumbents that already dominate 77-83% of visibility in Semrush's figures.

Build genuinely platform-specific content signals rather than one generic "AI-friendly" page. That means understanding what each engine tends to reward: recency and structured data for one, forum and community mentions for another, brand-controlled authority pages for a third. A one-size-fits-all approach will inevitably underperform on at least some platforms.

Finally, revisit your tracking cadence. Because model swaps can happen without warning, as the Gemini 3 rollout demonstrated, monthly or even weekly visibility checks are becoming the minimum standard for any brand serious about its AI search presence, not an occasional audit.

Frequently asked questions

What is the Semrush AI Visibility Index?

It's a large-scale study tracking how brands are mentioned and cited across major AI search platforms. The 2026 edition scaled up dramatically, moving from an initial analysis of 2,500 prompts to 126 million US AI search prompts analysed between January and April 2026.

Why do so few brands appear across all AI platforms?

Because each platform, ChatGPT, Perplexity, Gemini and Copilot, uses different models, different source weighting and different update schedules. Only 11% of domains are cited by both ChatGPT and Perplexity, which shows how little overlap there is even between two major engines.

Which industries have the most concentrated AI visibility?

News and Media and Consumer Electronics are the most concentrated, with the top three brands in each accounting for 82.9% and 76.9% of total category visibility respectively. Finance and Industrial are far more open, with the top three brands holding roughly 41-42% of visibility.

Does a Google algorithm change affect all AI platforms at once?

No. When Google swapped in Gemini 3 for AI Overviews and AI Mode in January 2026, ChatGPT, running on an entirely separate pipeline, was completely unaffected. This confirms that platforms need to be monitored and optimised for separately.

Should smaller brands even bother trying to compete for AI visibility?

Yes, particularly in less concentrated categories. The data shows industries like Finance and Industrial currently offer greater opportunities for brands to gain visibility, meaning the competitive window hasn't closed the way it has in media or electronics.