01Notes · 23 August 2026
Only 36 Brands Hold AI Visibility Across Four Engines
Quick answer
A study covering January to April 2026 measured brand visibility across the four dominant AI engines. Thirty-six brands globally held a top-100 position on all four.
Not thirty-six per engine. Thirty-six in total, worldwide. If your target is "be visible across AI search", that number is the reality check.
Key takeaways
- Retrieval is winner-take-most. The model picks one to three sources and stops. Fourth is not slightly worse. It is absent.
- News and media: top three hold 82.9% of category visibility. Consumer electronics: 76.9%.
- Finance and industrial sit near 41%, which makes them genuinely contestable.
- This is structurally unlike classical SEO, where moving from twelfth to eighth gained you something.
- A narrower target beats a broader one, and that should be decided in the scoping call, not month six.
- Cross-engine dominance is a poor goal. Thirty-six brands manage it.
The number
Thirty-six. Across every category, every market, every language, thirty-six brands held a top-100 position on all four dominant engines during the study window.
Read that against the proposals in your inbox promising visibility "across AI search".
Why concentration is this severe
The mechanism is different, and that difference is the whole story.
Classical search returns ten results. Being eighth still put you on the page, and moving from twelfth to eighth gained you real click share. Improvement paid incrementally.
Retrieval does not work that way. The model selects one to three sources and generates an answer. There is no page two. The fourth-best source is not slightly less visible; it does not appear.
That converts a gradual curve into a cliff.
How it varies by category
| Category | Top-three share | What a challenger should conclude |
|---|---|---|
| News and media | 82.9% | Displacement is a multi-year programme, not a quarter |
| Consumer electronics | 76.9% | Niche sub-categories are the only realistic entry |
| Industrial | 42.2% | Contestable with sustained work |
| Finance | 41.4% | Contestable, though regulated content slows the cycle |
| All four engines, top 100 | 36 brands | Cross-engine dominance is the wrong target entirely |
Setting a realistic target
Not that smaller brands should give up. That the target should be narrower than instinct suggests.
Winnable: a specific sub-category, a use case, a buyer segment, a geography. Clusters where three entrenched sources have not already absorbed the retrieval slots.
Usually not winnable: the category head term, in a concentrated category, against incumbents with years of accumulated citation.
That belongs in the scoping conversation. A firm that agrees to "be number one for [category]" without checking the concentration first is selling you a quarter you will not get back — the sector data is on our industries pages.
What this means for you
- Ask what the concentration looks like in your category before agreeing a target. It is a ten-minute check.
- Pick the narrowest cluster that still has commercial value. Narrow and won beats broad and absent.
- Treat cross-engine dominance as out of scope unless you are one of the thirty-six.
02Common questions
Questions this raises
Thirty-six across all four engines, or per engine?
In total. Thirty-six brands globally held a top-100 position across all four dominant engines in the study window. That is the number that reframes what a realistic target looks like.
Why is AI visibility so concentrated?
Because retrieval selects one to three sources and stops. Classical search rewarded incremental improvement; being fourth in a retrieval system is being absent.
Which categories are most concentrated?
News and media at 82.9% top-three share, consumer electronics at 76.9%. Finance and industrial sit around 41 to 42 percent, which makes them genuinely contestable.
So should a smaller brand give up?
No, but it should aim narrower. Winning a specific sub-category or use-case prompt cluster is achievable. Winning the category head term against three entrenched sources usually is not.
Does this apply outside consumer categories?
The curve is steep everywhere measured. The shallower categories are still steeper than traditional search, because the mechanism is different.
Sources
Every figure on this page comes from one of the following. Where a claim is ours rather than a source’s, it carries an evidence label instead.
- Semrush — AI visibility study, January to April 2026. Source for the 36-brand finding and every category concentration figure in this post. Independent study
- Rankability — State of AI Search, 2026. Source for the retrieval-selection behaviour described. Independent study
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