What an Agent Should Do With ChatGPT Citation Share, January to June 2026
Promptwatch citation share data shows which domains ChatGPT cited most across the first half of 2026. The agent move is to watch your own domain share month over month.
ChatGPT does not cite the same domains every month. Promptwatch's citation share reports track the top domains ChatGPT cited each month from January through June 2026, and the top of the list moved over the period. For anyone who runs an agent on their AI visibility, the practical question is what an agent should do automatically with a citation share series that spans six months.
The monthly citation share reports (January, March, April, May, June, published between January and June 2026) cover the top domains ChatGPT cited each month, with their percentage share of total citations. The top ChatGPT citations by domain report rounds out the picture.
The signal
Promptwatch's monthly citation share reports list the top domains ChatGPT cited, with their percentage share of total citations. Each report covers a single month, with the top domains and their share. Read across the six months, the reports show which domains held a steady share, which climbed, and which fell out of the top.
The methodology is the part that decides what the number means. The share is a domain's citations divided by total citations for ChatGPT, in that month. A domain can gain share because ChatGPT cited it more, or because it cited less of other domains. The month over month move is the signal, and a single month is a snapshot. A domain that holds a steady share across months is a stronger signal than a domain that spikes in one.
What an agent should do automatically
The first move is to watch your own domain share month over month, not on a single month. An agent should track your domain's share of ChatGPT citations for your prompts on a schedule and flag a sustained step up or down. A single month where your share moved is not a signal. A trend across months is the signal that your visibility is changing, not just bouncing.
The second move is to connect the share to the citation trend. A share number is a snapshot. A citation trend is the series that shows how your citations moved over time, with deep insights into what changed between checks. An agent should pull the citation trend for your domain and flag the checks where the trend diverged from the share, because a share that held while the trend fell is a different signal from a share that fell.
The third move is to watch the domains that gained share on you. An agent should flag the domains that climbed into the top while your share held or fell, because those are the domains that took the citations you lost. Competitive benchmarking in Promptwatch surfaces the share of voice between you and your competitors, and the agent should flag a competitor that gained share as a domain to study.
How to do it with Promptwatch
The measurement that turns the population report into a prompt level action is the citation analytics view in Promptwatch. It tracks page level, domain level, Reddit citations, YouTube citations, offsite mentions, and citation type breakdowns, plus citation trends that show how citation sources and volume trend over time.
An agent that runs on visibility should wire the citation share report into a Unified Action. When your domain's share of ChatGPT citations crosses a threshold, the action is to pull the citation trend, identify the domains that gained on you, and flag the prompts where the shift happened. That is the automated move that turns a share change into a fix, not a dashboard you read and forget.
What the report does not tell you
The reports are population level views. They tell you what ChatGPT is doing across the whole web. They do not tell you what ChatGPT is doing for your prompts. For that you need your own citation data joined to your own visibility data. ChatGPT can cite a domain at the population level and never cite it for your prompts, or cite it for your competitors.
The reports also do not say why a domain gained or lost share. A domain that climbed is consistent with that domain answering more of the queries ChatGPT ran that month. A domain that fell is consistent with that domain answering fewer, or with ChatGPT citing more of other domains. The shift is about the relative mix, not the absolute volume.
The broader pattern
The citation share series is one instance of a wider change in AI search. The domains that lead ChatGPT citations are not fixed. The top of the list moved over six months, which means a domain that was safe in January is not a domain that is safe in June. The same is true for your domain. A share that held in January is not a share that holds in June without work.
For an agent that runs on visibility, that means citation share is a first class signal, not a vanity metric. The practical response is to track it month over month, connect it to the citation trend, and watch the domains that gain on you. The agents that do that are the ones that hold a steady share while the top of the list moves around them.
How to read a share versus a count
The two numbers an agent watches are not the same. A share is your citations divided by total citations for ChatGPT, in that month. A count is the number of citations your domain earned. A share can hold while a count falls, if the total citations fell too. A count can rise while a share falls, if the total citations rose faster. An agent that watches only the share will miss a count that moved the other way.
The practical move is to track both. An agent should log your domain's share and your domain's count for your prompts, and flag a month where the two diverged. A share that held while the count fell is a signal that the pie shrank, not that your slice did. A count that rose while the share fell is a signal that the pie grew faster than you did. The two need different responses, and an agent that watches only one will pick the wrong one.
What to watch next
The reports are snapshots through June 2026. The open questions are whether the top domains hold in July, whether a new domain enters the top, and whether your own share moves with the list or against it. Those are exactly the questions a citation view answers for your own domain.
The dataset Promptwatch publishes is aggregated and non identifiable, and it is refreshed constantly. That makes it useful for spotting population level shifts. It does not replace the need to track your own brand, your own prompts, and your own citations. The two work together: the public report tells you what is happening in the field, and your own tracking tells you whether it is happening to you.