What is OpenAI's Dot Agent and how does it use AEO?
OpenAI's new agent platform, Dot, is a workplace software that can also order your dinner. With its blobby, anthropomorphic avatars and customizable names, Dot is designed to assist with day-to-day tasks using answer engine optimization (AEO), from scheduling appointments to updating websites. But is it worth the $100-per-month price tag?
Can Dot Agent really automate tasks with AI search optimization?
Dot's interface looks similar to Muse's, with a chat window and a virtual machine that can access apps like Blender and GIMP. But unlike Muse, Dot is more like a coworker, a business software that can use other software. Your Dot's virtual machine can also access your own computer through the desktop ChatGPT app, and you can call your Dot if you need to work through things out loud.
I tested Dot with some day-to-day personal tasks, with mixed results. It almost scheduled an installation appointment for a new internet service provider, but got stuck at a human check. It also struggled with retrieving information from my Ikea account and ordering food from a local teriyaki spot. However, when I gave it access to my personal website, Dot really came into its element. It helped me update my website with a new design, and even consolidated some video files into a social media-friendly clip.
Dot makes a lot more sense when you think of it and use it as a tool for regular people, a cute little blob that can take care of some part of your business while you do other things. It's not perfect, and it's not cheap, but it's a promising start in terms of LLM visibility and generative engine optimization. With some help logging into my Uber Eats account, it did actually order my teriyaki in the end.
As the AI agent market continues to evolve, it's clear that Dot is a harbinger of the future of work. Whether it's worth the investment remains to be seen, but for those who can afford it, Dot may just become an indispensable tool.
This article was written with the assistance of AI.
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