OpenAI is testing an analytics dashboard that counts how often a business shows up in ChatGPT’s answers and how many clicks those appearances send to its site, Digiday reported on 9 November. The tool sits inside a wider Business Hub that has not launched yet, and OpenAI declined to comment.
Digiday ties the tool to OpenAI’s ads business, and reports that OpenAI claimed a $1 billion annualized ads run rate by September, reached in under 200 days. By our arithmetic, that is more than $5 million of annualized run rate added per day on average ($1,000 million ÷ 200 days).
Business Pill · Distribution Advantage
An evergreen Business Engineer explainer on distribution advantage. It explains the general idea only and does not discuss OpenAI, ChatGPT or any company in this piece.
The key insight:OpenAI is testing a ChatGPT dashboard that counts a business’s appearances in answers and the clicks they send, Digiday reports; OpenAI declined to comment. Digiday ties it to OpenAI’s ads business, which OpenAI said reached a $1 billion annualized run rate in under 200 days: more than $5 million a day on average, by our arithmetic.
Juozas Kaziukėnas, founder of e-commerce research firm Marketplace Pulse, posted a screenshot on LinkedIn on 6 November after spotting a banner for the unreleased feature. The banner asks businesses to “Claim your business in ChatGPT”, according to two separate sources with knowledge of its workings, Digiday says.
Once claimed, a business can track its mentions and keep its products and business information current. Claiming also unlocks what OpenAI calls a business agent, which answers customer questions. Getting in requires proof of authority to represent the business; Kaziukėnas said connecting a Shopify store is one way to do that. Kaziukėnas said they first saw traces of the feature in August.
Share of 189 small and mid-sized Swedish online stores never named by ChatGPT, by Claude, or by either, in answers to buying questions about what they sell. Data: KLOTA, a Swedish firm that sells AI visibility analysis, November 2026. OpenAI’s dashboard was not part of this study.
What the Dashboard Leaves Out
According to Digiday’s sources, the dashboard logs impressions and clicks each day and plots them on a chart. Prompts stay hidden, as does user data, and there is no ranking against competitors.
That leaves room for generative engine optimization (GEO) vendors such as Profound and Adthena, which Digiday says sell brands a read on their ChatGPT visibility, mostly by running prompts through the chatbot at scale. None of them has OpenAI’s own counts. Kaziukėnas expects the two to work in tandem, with outside tools tracking prompts and OpenAI’s first-party data showing whether GEO strategies are working.
The Ads Connection
On paper the dashboard sits apart from ChatGPT ads, because it deals in organic answers. Digiday argues that OpenAI’s ads business has the most to gain: once visibility shows up as a daily number, marketers will want it to climb, and the lever OpenAI charges for is a sponsored placement next to the answer.
Digiday compares it with Google, whose Business Profile listings and Search Console gave its sales teams an easier route to selling ads. OpenAI already has a self-serve ads manager and a measurement pixel, Digiday notes. Ads in ChatGPT went into testing in the U.S. in February, and in late October OpenAI said more than 100,000 advertisers had run campaigns across 89 countries.
Connecting the Coverage
The gap such a dashboard would show is already being measured from outside. In a study by KLOTA, a Swedish firm that sells AI visibility analysis, 28% of 189 small and mid-sized Swedish online stores were never named in ChatGPT’s three answers about what they sell, 29% never by Claude, and 19% by neither, as we reported in 1 in 4 small Swedish shops unseen by ChatGPT.
As we read Digiday’s report, the dashboard would give businesses a first-party count of organic visibility in ChatGPT, the number that outside GEO tools now estimate by running prompts. The report does not say when or whether OpenAI will launch it.
Banner for the unreleased feature, as reported by Digiday, 9 November 2026
FOR BRANDS Digiday says the dashboard logs daily impressions and clicks but hides prompts, user data and any ranking against competitors.
FOR GEO VENDORS Digiday says vendors such as Profound and Adthena run prompts at scale; Kaziukėnas expects outside tools and OpenAI’s first-party data to work in tandem.
FOR OPENAI’S ADS BUSINESS Digiday says OpenAI already has a self-serve ads manager and a measurement pixel, and that a claimed listing gives OpenAI a line to businesses that have never bought ChatGPT ads.
The framework argues, describing the medium cycle of industry restructuring: “Search gives way to assistants.”
As we read it, a dashboard of ChatGPT mentions and clicks would be the assistant-side counterpart of the search tools Digiday compares it with. The framework predates this report and does not discuss OpenAI’s Business Hub.
What Is Not Established
OpenAI has not announced the Business Hub or the dashboard, and declined to comment to Digiday. The details come from a screenshot and from two sources described by Digiday. There is no launch date, no price, and no statement from OpenAI linking the dashboard to its ads. The $5 million a day figure is an average over the period and says nothing about how the run rate grew within it.
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OpenAI is testing a dashboard that tells a business how often ChatGPT names it and how many clicks follow, Digiday reports. It would put a first-party number on organic visibility next to an ads business that OpenAI says reached a $1 billion annualized run rate in under 200 days: more than $5 million a day on average, by our arithmetic.
A note on sourcing. The dashboard, Business Hub and ads figures come from Digiday’s report of 9 November, which cites a screenshot posted by Juozas Kaziukėnas and two sources; OpenAI declined to comment. Store figures come from KLOTA’s study. The $5 million a day average is our arithmetic.
Gennaro Cuofano is a CRO and tech executive who has worked in AI since late 2015, starting with bringing NLP, natural-language generation, voice and chatbot products to the marketing industry. His background is in law and finance: he holds a Master's degree in Law and an International MBA with an emphasis on corporate finance (LUISS Business School and the University of San Diego, 2012), and worked as a financial analyst at a real-estate investment firm in San Diego and as an assistant controller. His work focuses on business model strategy, business engineering and, more broadly, structural analysis: how companies make money, read from their own filings. He created FourWeekMBA and leads research there and at The Business Engineer, his newsletter on AI and business strategy, with over 95,000 subscribers and more than 1,000 published analyses. His writing has also appeared on Entrepreneur (for example, How to Digitize a Family Business in Europe) and HackerNoon. Find him on LinkedIn and Substack. See how we source.
