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OpenAI just gave businesses a new job: claim and check how they appear in ChatGPT. Its new Businesses in ChatGPT beta includes Business Hub, where eligible companies can verify their business, update information and add product feeds with pricing and availability. OpenAI says the hub also provides aggregated insights such as mentions and website clicks, subject to activity thresholds. That is a practical starting point for a business owner. Check your name, website, product information and availability. Bad information does not become useful because an AI repeats it. There is another layer. Eligible US ecommerce and online service businesses can build, test and launch a Business Agent to answer questions about their offerings. Customers choose to open that conversation. OpenAI says it is labeled and separate from ChatGPT's independent answers. Do not confuse claiming a profile with buying a recommendation. The announcement does not promise a ranking boost or guaranteed sales. The service opportunity is helping a business get its information ready and test the answers customers receive. Start with the questions that affect a sale: what is included, who it is for, what it costs and what happens after purchase. Check every answer against the business's current records. Sell accurate setup and measured results. Not a shortcut to being recommended. Source: https://openai.com/index/introducing-businesses-chatgpt/

Anthropic published new research on Friday about helping Claude remember useful lessons and correct old mistakes. It calls the process "dreaming." Forget the name for a moment. The business problem is familiar: you correct an AI's work today, then spend tomorrow correcting the same thing again. Anthropic reports that reviewing past work can help Claude catch incorrect notes and organize what it learned. Its tests also show limits. In some tasks, the extra organization gave no clear improvement. In one, it produced more material than the original documents. More saved information is not automatically better work. If you use AI for customer support, sales research or content, test whether it applies a correction the next time that correction matters. Pick ten recurring tasks. Record the mistakes, give clear corrections, then rerun comparable tasks and count what improves. Measure review time as well as output quality. That is also a service opportunity: help a business turn repeated corrections into a checked, usable playbook. Sell fewer repeated mistakes and less review time, not a promise that the software learns everything forever. Anthropic's Dreams feature is a Managed Agents research preview, not a claim that every Claude chat now does this automatically. Treat the research as a direction to test, not a guarantee. Which correction are you tired of giving your AI? Source: https://www.anthropic.com/research/components-of-agent-memory

Perplexity just launched Teammates, always-on AI agents that take on multiple roles inside your workspace and keep working around the clock. Each Teammate gets its own thread, you can assign several jobs at once, and you can interact with them in Slack. If this sounds familiar, it should. The Verge reports it is Perplexity's answer to OpenAI's Dots and Claude Duet. A third major player has now shipped the same product shape: an agent that does not wait for you to open the app. The difference is the price tag. Teammates requires Perplexity's $200-a-month Max plan. That number is worth doing math on. Two hundred a month is $2,400 a year, less than one week of a junior hire's loaded cost, if the agent actually does the work. So the question is not whether 24/7 agents are real. Three competitors building the same thing answers that. The question is which recurring job in your business you hand over first. Pick something measurable that happens every day: a morning brief on your market, monitoring a competitor's pricing, a first pass on routine replies, pulling numbers into a report before you wake up. Give it one job for two weeks and measure what comes back. If the output saves an hour a day, the subscription pays for itself several times over. If it does not, the lesson cost you one month. Perplexity CEO Aravind Srinivas says he envisions every org having hundreds of teammates working for each person. Whether or not that future arrives, the pricing experiment you can run today is cheap. Source: https://www.theverge.com/ai-artificial-intelligence/1028302/perplexity-teammates-ai-agents-work

Adam Fry, who leads ChatGPT's consumer product, told Alex Kantrowitz of Big Technology this week that ChatGPT has reached 1.2 billion weekly active users, up from 1 billion just two months ago. That is roughly 100 million new users every 30 days, and Fry says the growth is accelerating. The number that should get your attention is search. OpenAI's internal analysis says ChatGPT's search-like queries now run at about one-fifth of Google's volume. That figure comes from OpenAI itself and has not been independently verified, but even at half that size, the direction is clear. Fry also shared that users generate 1.5 billion images a week, that 250 million people use voice mode or dictation weekly, and that ChatGPT's separate Chat and Work modes are merging into one interface soon. Here is what this means for your business. Search is splitting into two channels, and one of them does not show ten blue links. When someone asks ChatGPT what to buy, who to hire, or which tool to use, it gives a short answer with a few names. If yours is not one of them, you do not get a click at all. There is no page two. Start measuring this channel now. Ask ChatGPT, Claude and Perplexity the questions your customers ask. See who gets recommended and which sources the answers cite. Then make sure your business, your reviews and your content live in those sources. The businesses that figured out Google early owned a decade of free traffic. This window is the same shape, and it is open right now. Source: https://www.bigtechnology.com/p/openai-chatgpt-search-is-about-20