89% Of AI Search Demand Has No Clear Owner: Use This Before The Window Closes

Kevin Indig simply settled an argument that’s been operating in half-finished kind since AI Overviews launched. Does topical authority that rewards manufacturers for going deep on a topic as a substitute of broad, really carry over into AI search? Or is ChatGPT sufficient of a clean slate {that a} generalist model can stroll in and seize a class chilly?

Indig bought entry to 6 months (January-June 2026) of ChatGPT solutions information from Semrush, spanning 1,094 U.S. classes, 5 prompts per class, greater than 50,000 manufacturers, and over 600,000 citations. He printed the breakdown in his Growth Memo Substack on July 20, with the headline discovering on LinkedIn the identical day. His reply is that topical authority does matter in AI search, and the reason being sturdiness. As soon as a model earns an outsized share of mentions in a class, it tends to carry onto it.

That’s the tidy model. The messier and extra helpful model, buried just a few paragraphs into his put up, is that nearly not one of the market has settled but.

The Classes That Matter Most Are The Ones No person Owns

Indig constructed three buckets. A class has a transparent proprietor when one model reveals up in at the very least 4 of 5 take a look at prompts and beats the runner-up by 5 share factors or extra. It’s an rising chief when a model leads at the very least three prompts with out hitting that hole. Every little thing else, that means no model leads even three of 5 prompts, counts as unsettled.

Run these definitions throughout the total dataset, and June 2026 appears to be like broad open. Solely 15.2% of classes had a transparent proprietor. Simply over half, 53.7%, had been open fields with a number of credible contenders and no model near locking the door.

Indig ranked all 1,094 classes by estimated AI search quantity and break up them into two even teams. The upper-volume half accounts for 98% of all AI search demand within the pattern, and it has the decrease proprietor charge of the 2, 11.3% versus 19% for the lower-volume half. Stack that up and 89.3% of estimated AI search demand sits inside classes with no clear proprietor but. The classes price probably the most cash to occupy are, proper now, the least determined.

I’ve spent the previous three years watching SEOs debate whether or not topical authority is an actual algorithmic pressure or a handy story businesses inform shoppers to justify a content material calendar. Indig’s information is the very first thing I’ve seen that really resolves the query with an actual quantity. Topical authority is actual in AI search, and the manufacturers nonetheless treating class focus as elective are gifting away nine-figure classes to whoever bothers to indicate up persistently throughout all 5 immediate varieties. 

House owners Are Exhausting To Dethrone, However Solely When The Lead Is Huge

The second half of Indig’s evaluation is the place the technique will get sharper. He tracked month-over-month management adjustments throughout the identical classes and located {that a} clear proprietor held first place in 90.4% of comparisons.

The switches that did occur had been concentrated virtually completely in classes the place the lead was already skinny. Classes the place the chief modified had a median lead of simply 1.3 share factors going into the change. Classes the place the chief held on had a median lead greater than double that, 2.9 factors. Development trajectory instructed Indig virtually nothing by itself. He reveals three examples the place a number one model trended upward month over month and nonetheless bought overtaken, as a result of a competitor merely grew quicker or closed a slender hole. The lesson isn’t that momentum is meaningless. It’s {that a} one- or two-point lead will not be a lead price defending but, and a model sitting in that vary ought to assume it’s nonetheless in a struggle.

Indig additionally discovered one thing that undercuts a standard assumption about how possession will get constructed. Citations and brand mentions turned out to be solely weakly associated, with a barely detrimental correlation of -0.229. Essentially the most continuously cited area in a class was hardly ever the identical as probably the most continuously talked about model, matching up solely 20.8% of the time. However probably the most talked about model was cited at the very least as soon as 69.9% of the time. Getting cited quite a bit doesn’t robotically make you the model ChatGPT reaches for by default. That’s a significant distinction for anybody whose GEO strategy at the moment begins and ends with “get extra citations.”

House owners did share some traits versus their runner-up: greater branded search quantity in 55.7% of pairs, greater natural visitors in 48.4%, and the next Semrush Authority Rating in 52.5%. Indig is cautious to name these correlations relatively than a system. A brand doesn’t earn ChatGPT’s default answer by shopping for branded search quantity. It earns it by being the supply ChatGPT’s coaching and retrieval preserve touchdown on when the mannequin tries to reply all 5 variations of a query, the definition, the comparability, the options listing, the use case, and the shopping for choice. 

How To Use This Earlier than The Window Closes

Right here’s the place I’d level a practitioner’s subsequent quarter of labor, tailored from Indig’s framework and my very own Citation Share of Voice method to monitoring AI mentions.

• Choose your battlefield first, then measure it correctly. Record the ten to twenty classes the place your model really must be the default reply. For every one, monitor the identical 5 immediate varieties Semrush used, a definition query, a comparability, an options listing, a use case, and a shopping for query, not simply your model title in isolation.
• Kind by lead dimension, not by whether or not you’re at the moment “profitable.” A class the place you lead by 1.5 factors will not be a class you’ve received. Deal with something beneath roughly 3 factors as contested and put actual resourcing behind closing the remaining immediate gaps, since Indig’s information reveals that’s the precise vary the place turnover occurs.
• Cease chasing citations as the entire technique. Use citations to earn your method into the reply set, then shift finances towards the precise content material varieties, comparability pages, proof factors, third-party protection, and clear positioning, that decide whether or not you’re the model really named when you’re within the room.

The GEO dialog over the previous yr has fixated virtually completely on citation counts as a result of citations are the best factor to drop right into a dashboard. Indig’s information says citations are a door, not the room. Practitioners who preserve optimizing for the door whereas a competitor optimizes for being the title ChatGPT really says out loud are going to lose classes they thought they had been profitable.

The window Indig describes received’t keep open. Eighty-nine p.c of demand sitting in unsettled classes is an unusually beneficiant head begin, and the manufacturers that transfer on it within the subsequent few quarters, relatively than treating this as another report back to bookmark, are those that can nonetheless be the default reply when any person runs this similar research in 2027.

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