Model visibility in ChatGPT shifts immediate by immediate. Two associated questions in the identical purchaser’s analysis can floor fully totally different manufacturers. Observe just one, and also you’d assume you are profitable. Look throughout the subject, and the image modifications.
The query in AI search is now not “do I rank for this key phrase or immediate?” It’s “when the AI solutions questions throughout the subjects key to my enterprise, does my model hold exhibiting up?”
To learn how manufacturers win and lose visibility throughout subjects, we partnered with Kevin Indig to review 1,094 topic areas in ChatGPT.
Here is what we discovered.
Key takeaways
- Profitable one immediate in ChatGPT will not be the identical as proudly owning a subject. Actual subject possession requires a model to look throughout not less than 4 of 5 associated prompts, with a 5-percentage-point lead over the runner-up.
- Most subjects in ChatGPT are nonetheless contestable. Solely 15.2% of the 1,094 classes we analyzed had a transparent proprietor. 85% stay open to rivals that may construct constant visibility.
- Broad search engine marketing indicators don’t persistently predict subject possession. Area-level metrics like Authority Rating and natural visitors correlate with possession solely about half the time. The aggressive image solely turns into clear on the subject degree.
- As soon as a model owns a subject in ChatGPT, it tends to carry on to it. However solely with a large sufficient margin. House owners with a 5-percentage-point lead retained first place in 90% of month-over-month comparisons. Slim leads change arms ceaselessly.
Methodology
We partnered with Kevin Indig and Growth Memo to investigate knowledge from the Semrush AI Visibility Toolkit.
The dataset covers 1,094 US classes, tracked month-to-month in ChatGPT from January by means of June 2026.
Every class is a topical cluster of 5 consultant prompts masking the questions a purchaser may ask in that topic space (definition, comparability, options, use case, shopping for query).
Consider a class as a subject like “payroll software program,” “small enterprise banking,” or “finest pillows for neck ache,” and the 5 prompts as the usual questions somebody would ask about every.
Scope of the information:
- Over 220,000 domains
- Over 50,000 manufacturers
- Over 600,000 citations
- Over 220,000 URLs
For every immediate, we tracked which manufacturers ChatGPT talked about within the reply and which sources it cited as hyperlinks.
Definitions
- Class proprietor: the model with the very best share of mentions, named in not less than 4 of 5 prompts, with not less than a five-percentage-point lead over the runner-up.
- Rising chief: the most-mentioned model seems in not less than three prompts however doesn’t meet the proprietor threshold.
- Unsettled class: no model seems in not less than three prompts.
1. Most classes are nonetheless up for grabs in ChatGPT”
Solely 15% of the AI search classes we analyzed have a transparent model winner. Within the different 85%, no single model exhibits up persistently throughout the subject’s associated prompts. A model may seem in a single query and be lacking from the following.
Right here’s the total breakdown of the 1,094 classes we analyzed in ChatGPT:
- 15.2% have a transparent proprietor (one model seems in not less than Four of 5 prompts with a 5-point lead)
- 31.2% have an rising chief (one model seems in not less than Three prompts, however with out the required lead)
- 53.7% are unsettled (no model seems in even Three of 5 prompts)
Here is the counterintuitive half: You’d count on the largest subjects, those folks ask ChatGPT about most frequently, to be dominated by established manufacturers like they’re on Google.
Increased search quantity often means stronger competitors. In ChatGPT, it is the other
We cut up the 1,094 classes into two teams by AI search demand: the highest half (the subjects folks ask about most) and the underside half (those they ask about much less). Solely 11ю3% of the top-half subjects had a transparent model proprietor. Within the backside half, 19% did.
And that prime half accounts for 98% of the AI search quantity in our pattern, so virtually each query we tracked in ChatGPT lands in a subject with no clear winner.
The takeaway: profitable one immediate would not make you the model ChatGPT associates with a subject. Displaying up persistently throughout all of the associated questions does. Within the majority of subjects we analyzed, no model managed to try this but, which is the chance.
2. search engine marketing metrics do not all the time predict who wins a subject in ChatGPT
If a model has sturdy search engine marketing fundamentals (excessive natural visitors, excessive branded search quantity, a stable Authority Rating), you’d count on it to win in AI search too.
We examined this by evaluating the subject proprietor towards the runner-up on three domain-level metrics: branded search quantity, natural visitors, and Authority Rating.
The outcomes solely line up with possession about half the time. Solely branded search quantity was a statistically vital differentiator, and even then, the sting was modest.
- House owners had increased branded search quantity in 55.7% of pairs
- House owners had increased natural visitors in 48.4% of pairs
- House owners had a better Authority Rating in 52.5% of pairs
In almost half the subjects, the runner-up had not less than one in every of these benefits and nonetheless misplaced. No matter decides who owns a subject in AI search is not captured by broad search engine marketing power alone.
“Deal with that as a speculation, not a discovering. What the information really exhibits is: conventional search engine marketing metrics aren’t sufficient to clarify who owns a subject. Whereas they play their function, there’s extra to it.”
Sturdy search engine marketing helps you present up, however as soon as a number of manufacturers are within the operating, deep protection of the particular subject is what turns you from runner-up to proprietor. When you’re sturdy in Google however shedding subject authority in ChatGPT, the repair is not extra homepage backlinks. It is constructing a deeper library of content material and getting related mentions on that particular topic on prime of the search engine marketing basis.
3. When you personal a subject in ChatGPT, you have a tendency to carry it. However provided that your lead is broad.
When a model has a snug lead in a subject in ChatGPT, they virtually all the time hold it. When the lead is slim, they usually lose it.
Clear class house owners we analyzed stayed on prime in 90.4% of month-over-month comparisons. Rising leaders and unsettled classes modified arms much more usually, with the highest model switching in 1,950 of 5,470 comparisons.
- Matters the place the chief flipped: median lead of 1.Three share factors
- Matters the place the chief held: median lead of two.9 share factors
Management modified arms recurrently. Nonetheless, these shifts had been concentrated in classes the place the preliminary lead was small.
Right here’s an instance the place a transparent chief was changed by the earlier month’s runner-up:
Why the switches occur is not one thing this knowledge can reply. They could replicate shifts in ChatGPT’s sources, modifications in the way it generates solutions, or actual shifts in a model’s underlying relevance. What the information exhibits is a less complicated sample — margin issues greater than course.
The takeaway: progress would not equal security. When you lead a subject with solely a slim margin, hold pushing content material and protection. A competitor rising quicker can nonetheless overtake you. When you’re a challenger in a subject the place the present chief has a slim lead, that is the second to behave. As soon as they consolidate an even bigger margin, the subject will get a lot more durable to maneuver.
Learn how to begin profitable on the subject degree
The manufacturers profitable in AI search function on the class degree. They choose a centered set of subjects and construct the protection, mentions, and third-party authority indicators ChatGPT depends on inside every one.
This takes time to construct, however it compounds. When you grow to be the model ChatGPT associates with a class, there’s a superb likelihood you may maintain it.
Particular person prompts are nonetheless price watching as a sign. However your topical authority determines whether or not ChatGPT will floor you when a buyer asks one thing new in that class.
Here is methods to get began:
- Determine the topical areas that matter for your enterprise. Begin from what your clients care about and the place you compete. The classes of questions your patrons ask once they’re evaluating one thing like what you promote are the subjects price constructing round.
- Analyze your present topical authority. Semrush’s AI Visibility Toolkit already allows you to see which subjects you are influencing in AI search and the place you sit inside every one. Begin there to get an trustworthy baseline of the place your authority is actual, the place it is skinny, and the place rivals are forward.
- Focus your efforts. Making an attempt to construct authority throughout each subject directly dilutes the whole lot. Choose two or three related classes the place you have already got some sign, present content material, and an actual product angle. That is your first guess.
- Develop your topical authority. Topical presence comes from three issues working collectively: broad content material protection throughout the questions inside a class, related mentions within the sources ChatGPT attracts from (Reddit, overview websites, trade publications, knowledgeable commentary), and robust entity indicators (structured knowledge, constant model naming, third-party citations that tie your model to the subject).
